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Article

Study on the Application of Activity-Based Costing in Cold Chain Logistics Enterprises under Low Carbon Environment

Business School, Nanjing Xiaozhuang University, Nanjing 211171, China
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Author to whom correspondence should be addressed.
Sustainability 2023, 15(18), 13808; https://doi.org/10.3390/su151813808
Submission received: 9 August 2023 / Revised: 10 September 2023 / Accepted: 13 September 2023 / Published: 15 September 2023

Abstract

:
Currently, a large amount of greenhouse gas emissions has caused a series of problems such as serious environmental degradation, and China is facing enormous pressure to reduce emissions. In terms of meeting the needs of people’s lives, cold chain logistics has undergone faster development, and its carbon emissions are relatively high. In response to the government’s advocacy for green and low-carbon concepts, some technical measures taken will increase the cost of carbon emissions. Identifying measures to reduce carbon emissions using management methods is an ongoing problem that this paper intends to solve. To address the shortcomings of the traditional cost method that cannot accurately account for the cost of each calculation object and ignores the carbon emission cost, this paper constructs an activity-based cost model for cold chain logistics enterprises to more comprehensively account for the operation cost and carbon emission cost. Then, a typical enterprise YS cold chain logistics company is used as a case study for an empirical calculation and analysis. The following conclusions are drawn: (1) the results identify the main activity centers that affect the operating costs and carbon emission costs of different customers; (2) a comparison among the total cost of each project helps to identify high-quality customers; (3) clarifying the carbon emission cost of wasting resources is beneficial for further optimizing the match between production capacity and business volume. This paper provides a path reference for enterprises to efficiently implement logistics cost management and carbon emission control, which can help enterprises cope with cost reduction and efficiency enhancement in a low-carbon environment and promote the long-term development of the logistics industry and environmental protection.

1. Introduction

The Guiding Opinions of the State Council of China on Accelerating the Establishment and Improvement of a Green and Low Carbon Cycle Development Economic System, issued in February 2021, pointed out that China should fully implement the idea of ecological civilization, establish and improve the green and low carbon cycle development economic system, ensure the realization of carbon peak and carbon neutral goals, and promote China’s green development to a new level. As the world’s largest energy user and carbon dioxide emitter, China’s total carbon emissions have undergone rapid growth in recent years. Cao et al. [1] and Wang et al. [2] believe that the current large amount of greenhouse gas carbon dioxide emissions has caused China’s surface temperature to continually rise, triggering a series of problems such as serious environmental degradation, resource crises, and ecosystem fragility. China is facing enormous pressure to reduce emissions. This is despite the fact that, on the one hand, reducing carbon emissions may result in higher costs for businesses and consumers, leading to a reduction in economic activity and pressure on employment and, on the other hand, the transition to a low-carbon economy may require large investments in new technologies and infrastructure, which may put pressure on government budgets and lead to increased debt. Indeed, in the history of economic development, most economic development has come at the cost of damaging the ecological environment. However, with the continuous development of the world economy, the various resources that supply people’s survival are gradually diminishing over time. The environment is the basic material basis for people’s lives, providing the necessary material to guarantee people’s survival and development and thus playing a crucial and decisive role in people’s survival and development. It was shown that economic development can be realized only by combining economic development with ecological environmental protection and taking the path of sustainable development, on the basis of maintaining good development of the ecological environment. Su [3] believes that in order to cope with this dilemma, it is urgent for China to realize “pollution reduction and carbon reduction” as the general methods to promote economic and social green transformation and promote the construction of Chinese-style modernization with low-carbon development. In the global action to address climate change and reduce carbon emissions, China has actively participated and taken important responsibilities, adopting a series of emission reduction measures, including strengthening energy structure adjustment, promoting green energy, improving energy utilization efficiency, strengthening environmental regulation, and so on.
The logistics industry is closely related to people’s lives, and fierce market competition means that logistics enterprises not only face the pressure of reducing costs but also bear the environmental responsibility of energy conservation and emission reduction. With the intensification of global climate issues and resource scarcity, the low-carbon concept is constantly deepening, and the pressure on cost management and carbon emission control of cold chain logistics enterprises is becoming more prominent. China’s cold chain logistics has gone through three stages including germination, initial development, and rapid development. Cold chain logistics enterprises are widely present in various provinces and key cities in China. Currently, the total capacity of cold chain warehouses in China is 56.86 million tons, with 45,767 cold chain transportation vehicles. There are over a hundred key cold chain logistics enterprises in Shandong, Guangdong, Shanghai, Jiangsu, and Tianjin. Cold chain logistics transportation has the problems of high cost and high carbon emissions, and cold chain transportation occupies a large proportion of logistics transportation. Logistics, as the third source of profit for enterprises, can improve their profitability with cost control. Cold chain logistics enterprises can use more energy-efficient and environmentally friendly transportation tools and equipment to reduce operating and maintenance costs and carbon emissions using scientific planning and design. Implementing green environmental protection technology in the operation of high-carbon emissions is not only beneficial for cost control but also for achieving low-carbon and green development.
The government of China has introduced corresponding policy support to promote the development of low-carbon cold chain logistics and solve the problems of high energy consumption and pollution. It encourages the use of multimodal transportation, advocates the construction of a complete logistics transportation system, encourages the application of modern technology, and promotes regional coordinated development. In October 2022, the National Development and Reform Commission released a list of national backbone cold chain logistics bases. Under their guidance, the logistics industry has continuously optimized the layout of logistics network resources, innovated the delivery mode, carried out the construction of enterprise green logistics parks, promoted the low-carbon transformation of transportation equipment, and continued to recycle packaging material. Logistics cost management is the core of logistics enterprise management. In order to respond to the government’s call for green and low-carbon logistics and to measure the performance of low-carbon cold chain logistics, an accurate calculation of cold-chain logistics costs is required, which will also help to find an effective path to reduce wastage, reduce costs, increase efficiency, and save energy and reduce emissions. This paper intends to accurately account for the cost of cold chain logistics with activity-based costing, enable cold chain logistics enterprises to find the main operation center for implementing logistics cost management, identify high-quality customers, clarify the carbon emission costs of wasting resources, clarify the objectives of cost control, and realize low-carbon environmental protection.

2. Literature Review

With continuous improvement in the consumption level and ability of urban and rural residents, there are increasing requirements for the diversification, freshness, and nutritional value of agricultural products, with increasing attention being paid especially to food safety. Accelerating the development of cold chain logistics for agricultural products has become a necessary means to protect the quality of agricultural products and ensure food safety. For a long time, the post-delivery loss of agricultural products in China has been severe, with the decay rate of fruits and vegetables, meat, and aquatic products reaching 10–20%. According to statistics, the annual loss of fruits and vegetables alone reaches over CYN 100 billion. Cold chain logistics can maintain low temperature and humidity during transportation and storage, effectively extending the shelf life of agricultural products and reducing post-delivery decay and loss. This not only improves the quality of products but also reduces losses and waste of enterprises, thus reducing logistics costs.
Regarding our understanding of logistics cost management, research on logistics cost management by foreign scholars began in the early 1960s. Afterward, people widely accepted and regarded controlling logistics costs as an effective means to achieve logistics management while also understanding the functions and benefits of logistics from a systematic perspective. Scholars studied the impact of logistics on revenues and costs separately and clarified that logistics costs estimated using different methods are not comparable because the cost components are not standardized across countries. Ramandeep [4] considered logistics as a crucial factor in the impact of corporate profits, as it has a dual impact on revenue and cost. Muha [5] considered that logistics cost management is related to certain specific challenges and that improving the quality of customer logistics services often accompanies an increase in logistics costs. Barbosa [6] evaluated and compared the impact of urban freight barriers and truck restrictions on logistics costs before and during the pandemic. Chakrabarty [7] found that logistics costs estimated using different methods are not comparable because the cost components vary across countries. Research on logistics cost management in China began in the 1980s, but it truly attracted national attention after China acceded to the WTO. Regarding the general thoughts on logistics cost management, Du [8] analyzed the current situation and existing problems of enterprise logistics cost management and proposed practical and feasible measures to carry out logistics cost management. Liu [9] proposed that logistics cost is a business behavior centered on logistics and that unnecessary expenses can be reduced by analyzing and forecasting various factors of logistics. Liu [10] pointed out that from the perspective of the supply chain, logistics cost management is a powerful way for enterprises to enhance their competitiveness and thus achieve long-term development. Other scholars analyzed the current situation of logistics cost management in manufacturing enterprises. Dong [11] suggested that finding ways to effectively control hidden logistics costs and scientifically manage logistics costs is the current focus of enterprises. Some scholars proposed further measures to reduce logistics costs from a subdivision perspective. Yu et al. [12] reported that the severe economic development situation in China affects the changes in various industries and that using a hierarchical control method is conducive to comprehensively improving the potential adverse issues in logistics cost accounting. Cui [13] pointed out that further segmentation of logistics costs is needed from a new perspective to clarify the direction of reducing logistics costs. Zhang [14] analyzed problems in logistics cost management and proposed corresponding effective measures. Fan [15] considered that the logistics cost of manufacturing enterprises has typical characteristics of the supply chain and process chain and used activity-based costing to explore the structure and motivation of its logistics cost and reveal hidden logistics cost, which can better support logistics management decisions.
Regarding activity-based costing, the shortcomings of traditional cost accounting methods continue to appear, and activity-based costing is being gradually applied in China and abroad. In the 1980s, Robin Cooper and Roberts Kaplan both gave a clear explanation of activity-based costing. They successively proposed activity-based costing methods and also discussed the actual needs of activity-based costing, the determination of activities, the selection of cost driver criteria, and the construction of a cost database. Kaiwen [16] studied the origin and development of activity-based costing from a global perspective, focusing on the significance of implementing activity-based costing. In terms of comparing traditional logistics cost accounting methods with activity-based costing, Yu [17] and Zhang [18] both believed that the traditional logistics accounting method can no longer adapt to the cost management of logistics enterprises at the current stage because of the diversified service demands in the logistics market. As an alternative, they proposed that the allocation of activity using activity-based costing can meet the diversified cost composition and help improve the quality and efficiency of cost accounting in logistics enterprises. Li [19] analyzed the current situation of cost management in MN logistics enterprises and found problems related to indirect costs and unreasonable cost accounting methods by comparing activity-based costing with traditional cost accounting methods. Shangguan et al. [20] found that most SMEs in China are still using traditional methods and that there is a problem related to unscientific distribution and aggregation. Using a comparison with the application of activity-based costing, they analyzed the differences between the two methods in logistics cost management and green logistics transformation. Some scholars have elaborated on the advantages and functions of activity-based costing from a theoretical perspective. Rong et al. [21] believed that activity-based costing is an important tool for cost management in management accounting and has the advantage of promoting basic budgeting of activities, improving the management of activities, processes, and activity chains, and providing sufficient help for enterprises to establish systematic cost management. According to the “Resource Dependence Theory”, the operation of cold chain logistics enterprises requires resources such as fuel, electricity, etc. Due to the impact of government energy-saving and emission reduction policies, organizations owning these resources may increase the cost of obtaining resources for cold chain logistics enterprises, thus urging them to conduct more refined cost accounting, identify which activities and which customers have high costs, and apply appropriate technical means, equipment, and management methods. In this way, these enterprises can reduce carbon emissions while reducing operating costs with the application of appropriate technical means, technical equipment, and management tools. Han [22] and Huang [23] both pointed out that the traditional costing method has simple allocation criteria that make it difficult to provide accurate information for pricing. Using activity-based costing, we can integrate data, determine the activity center, allocate activities to service costs, and identify the driving factors, which can make logistics enterprises’ cost accounting more accurate. Ye [24] considered that activity-based costing is an effective method for enterprises to achieve cost control. It is helpful for decision-makers to understand logistics cost drivers and control their changes by determining costs using the volume of activities and analyzing various cost drivers. Liu [25] suggested that activity-based costing innovates and optimizes the traditional cost method theoretical system, which can meet the basic requirements of enterprise logistics, and also achieves accurate accounting for the distribution of indirect expenses, which is conducive to strengthening the cost control of enterprises and realizing the rational allocation of resources. The advantages of activity-based costing have been well-validated in manufacturing enterprises. Prayag [26] studied the application of activity-based costing in the sheet metal industry, selecting five different products and comparing the results of the application of the traditional costing method and activity-based costing. Jiao [27] applied activity-based costing to coal mining machinery manufacturing enterprises to help enterprises solve problems in cost accounting, ease operating difficulties, strengthen cost control, and improve cost management awareness. Since entering the 21st century, domestic and foreign scholars have not only limited activity-based costing to the production industry but also found that it can be applied in other areas. Liu [28] studied the operation cost risk control of a logistics enterprise and found that enterprises can apply activity-based costing to daily production and operation management, which helps to effectively overcome the shortcomings of the industry itself and actively adjust traditional activity centers, thus obtaining more comprehensive and true cost information. Ondrej et al. [29] applied activity-based costing to railway enterprises for cost management and found that the activity-based costing method allocates indirect costs to various activities, eliminating inaccuracies and shortcomings of the traditional cost calculation system. In addition to the core activities that are crucial to enterprises, some activities of cold chain logistics enterprises aimed at cost reduction, energy savings, and emission reduction, can accurately account for logistics costs based on stakeholder theory and the ability of the enterprise to operate these activities. Then, after deciding on self-management or outsourcing, which are undoubtedly beneficial to the customer, cold chain logistics enterprises become an outsourcing commissioner or a commissioned party, which reduces the total cost and resources consumed. Peng et al. [30] applied the activity-based cost model to the cost management of maritime third-party logistics to meet the needs of enterprises to outsource noncore business to third-party maritime logistics companies with professional service functions.
Regarding low-carbon logistics, in the face of a series of problems such as serious environmental degradation triggered by large amounts of greenhouse gas emissions, the cold chain logistics industry, as a high-carbon emission industry, should consider green and low-carbon development in addition to cost reduction. Zhang [31] stated that it is necessary to adhere to the concept of green logistics development and promote the high-quality and sustainable development of logistics enterprises by optimizing cost management. Liu et al. [32] reported that logistics enterprises are the core unit of carbon emissions in the logistics industry, as they account for a large amount of energy resource consumption and carbon emissions. Establishing a carbon emission management system is an effective measure to achieve low-carbon transformation of logistics enterprises. Zhao [33] analyzed the actual situation of China’s economic development from the perspective of carbon neutrality and proposed an optimization strategy for commerce circulation, focusing on creating a new pattern of green circulation. The low-carbon development of cold chain logistics is very important for energy conservation and emission reduction. Chen et al. [34] provided ideas for the development of low-carbon cold chain logistics by exploring the balanced relationship between cold chain logistics and low-carbon logistics. According to stakeholder theory, Ren [35] proposed that the low-carbon development of cold chain logistics requires all industry participants to be aware of the concept of green and low-carbon development, which cannot be separated from the energy-saving and emission-reduction work of enterprises in each link. Some scholars have studied the factors that affect the efficiency of low-carbon logistics. Jia [36] considered how to use a low-consumption, low-emission, and high-efficiency logistics development model to achieve the green goal of economic development by analyzing the impact of technology, the environment, and other factors on low-carbon logistics efficiency in each region from different perspectives. Deng et al. [37] considered factors such as carbon emissions, time windows, and goods damage when calculating the cost of carbon emissions using carbon taxes. They showed that considering carbon emissions factors can effectively control and improve the circulation rate of cold chain logistics, reduce goods loss rate, control logistics distribution costs, and reduce carbon emissions. Based on institutional theory and on the basis of introducing the latest research progress of low-carbon cold chain logistics, Wang [38] elaborated on the impact of carbon emissions from government subsidies, carbon emissions trading, and carbon emission reduction in cold chain logistics enterprises. The carbon emissions generated by cold chain logistics have a significant impact on the environment, and it is urgent to take certain measures to reduce energy consumption and carbon dioxide emissions in logistics transportation. Jin [39] studied the key roles of green finance and logistics in sustainable production and the circular economy in the context of emerging economies striving to realize their potential for sustainable production and achieve a zero-carbon agenda. Fang [40] suggested that cold chain logistics is in the golden period of development and that finding ways to reduce costs and reduce energy consumption and pollutant emissions is the main focus for achieving a green economy. Fang [40] then constructed a cold chain logistics distribution route optimization model considering green costs. Yan [41] explored the effects of both carbon tax and carbon allowance policies, developed a mathematical model to achieve an optimal low-carbon vehicle path under an optimal strategy, and pointed out that the carbon allowance subsidy policy is an ideal strategy to minimize distribution costs and CO2 emissions. Yang [42] addressed the issue of vehicle information supervision in the transportation process of third-party small and medium-sized cold-chain logistics enterprises. Based on the actual monitoring needs of vehicles, an optimized genetic algorithm was used to optimize the path and distribution sequence, ensuring that goods were delivered as required while reducing carbon emissions in the logistics transportation industry.
Research on logistics cost management, activity-based costing, and low-carbon logistics has provided strong technical support for the development of cold chain logistics enterprises in a low-carbon environment and has also made important contributions to achieving green and sustainable economic development. Low-carbon development of enterprises may involve continuous investment and maintenance and may even affect the quality of customer service. Responding to and implementing China’s national policy of sustainable development is a social responsibility of enterprises. This paper investigates the path to efficient logistics cost management and carbon emission control by applying activity-based costing to find the main activity centers that affect the operation cost and carbon emission cost of different customers, identifying high-quality customers and the carbon emission cost of wasted resources to further optimize the matching between production capacity and business volume. There has been limited research on the path of logistics cost management in cold chain logistics enterprises. In addition, few papers used the combination of activity-based costing and identifying high-quality customers, as well as identifying carbon emission costs that waste resources. This is a new development in methodology and the purpose of this study.

3. Methodology

3.1. The Theoretical Basis of Activity-Based Costing Applied to Cold Chain Logistics Enterprises in a Low-Carbon Environment

3.1.1. Activity-Based Costing

Activity-based costing is a cost accounting method that allocates indirect costs more accurately to activities, products, customers, services, and other cost accounting objects, which reflects a refined and diversified cost accounting and management idea. Activity-based costing takes cost accounting to the activity level. It collects costs by activity and distributes them to the activity level according to activity drivers. The cost management method includes tracing activity costs to various cost objects and ultimately completing cost accounting.

3.1.2. The Difference between Activity-Based Costing and Traditional Costing

(1)
The guiding ideology is different. Activity-based costing is activity-oriented and closely links costs with drivers. The traditional cost method is department-oriented and cannot effectively collect costs.
(2)
The allocation basis is different. Activity-based costing selects different cost drivers, while traditional costing selects single drivers such as working hours.
(3)
The calculation range is different. Activity-based costing considers the cost of the whole logistics process. The selection of cost drivers is complex, and cost accounting is more accurate. The traditional cost method only selects the costs incurred in the production process, based on a single basis, and there are shortcomings in cost accounting.

3.2. Model Construction for Activity-Based Costing in Cold Chain Logistics Enterprises

The low-carbon economic environment has put forward more development requirements for various industries, such as developing a resource-saving and environmentally friendly economy, and the concept of green logistics responds to the development requirements of a low-carbon economy. For cold chain logistics enterprises, due to its special temperature control process, carbon emissions are higher than those of the usual logistics enterprises. In addition to technical means and equipment to reduce carbon emissions, attention should also be paid to management means, and the core of logistics management is logistics cost management. Identifying ways to build a logistics cost model in a low-carbon environment and carry out green logistics management work in a low-carbon economy environment is currently a problem that cold chain logistics enterprises are looking forward to solving. This model is constructed using operation cost and carbon emission cost under direct and indirect cost, respectively, with the aim of finding the specific activity of cost management and resource wastage for enterprises and laying a theoretical foundation for further use of green and low-carbon management measures.

3.2.1. Clarify the Activity Center and Links

Assuming an enterprise has x orders and y job centers, the direct costs of operation and carbon emissions can be directly traced back to the profit and loss of a current service order. The indirect costs of operation and carbon emissions need to be traced back to the logistics cost of the service order by the cost driver. The logistics cost accounting process is shown in Figure 1.

3.2.2. Construction of the Activity-Based Costing Model

1.
Direct Cost Model
(1)
Direct Cost Model for Operations
The direct labor cost H accounting matrix is set as H = [ h 1 , h 2 , Λ , h x ] , h i ( i = 1 , 2 , , x ) to denote the direct labor cost of order i . The direct material cost matrix is set as R = [ r 1 , r 2 , Λ , r x ] , r i ( i = 1 , 2 , , x ) to represent the direct material cost of order i .
  • (2)
    Direct Cost Model of Carbon Emissions
The carbon emission direct cost matrix is set as S = [ s 1 , s 2 , Λ , s x ] , s i ( i = 1 , 2 , , x ) to denote the direct cost of carbon emission for order i .
2.
Indirect Cost Model
(1)
Indirect Cost Model for Operations
Assume the indirect cost matrix of each activity center A f = [ a f 1 , a f 2 , Λ , a f y ] , a f j ( j = 1 , 2 , y ) denotes the operating cost of activity center j . The matrix of cost drivers of indirect costs for each activity center is set as B f = [ b f 1 , b f 2 , Λ , b f y ] , b f j ( j = 1 , 2 , , y ) to represent the number of activity drivers consumed by activity center j . Assuming the cost driver rate matrix of the indirect cost of each activity center C f = [ c f 1 , c f 2 , Λ , c f y ] , c f j ( j = 1 , 2 , , y ) denotes the distribution ratio of the activity driver of activity center j . Then,
C f = A f B f
The indirect cost matrix of each order is set as E A f = [ e a f i j ] , e a f i j ( i = 1 , 2 , , x ; j = 1 , 2 , , y ) to denote the cost that order i consumes in activity center j . Let the cost driver volume matrix be set as Q f = [ q f i j ] , q f i j ( i = 1 , 2 , , x ; j = 1 , 2 , , y ) to denote the driver’s amount used during order i in activity center j . Let the cost driver rate matrix be set to the diagonal matrix D C f = d i a g [ c f 1 , c f 2 , Λ , c f y ] , c f j ( j = 1 , 2 , , y ) to denote the driver rate of activity center j . Then,
E A f = Q f × D C f
Assume the total indirect operating cost matrix is K M f = [ k m f 1 , k m f 2 , Λ , k m f x ] T , k m f i ( i = 1 , 2 , , x ) , which represents the indirect operating cost of order i , i.e.,
k m f i = e a f i 1 + e a f i 2 + + e a f i y
  • (2)
    Indirect Cost Model for Carbon Emissions
Assume that the carbon emission indirect cost matrix of each operation center is A g = [ a g 1 , a g 2 , Λ , a g y ] , a g j ( j = 1 , 2 , , y ) , which represents the carbon emission indirect cost of activity center j , and the cost driver matrix of carbon emission indirect cost of each activity center is B g = [ b g 1 , b g 2 , Λ , b g y ] , g f j ( j = 1 , 2 , , y ) , which represents the carbon emission driver amount consumed by the activity center j . Then, the cost driver rate matrix of indirect carbon emission costs for each activity center is set as C g = [ c g 1 , c g 2 , Λ , c g y ] , c g j ( j = 1 , 2 , , y ) , representing the carbon emission driver rate of activity center j . Then,
C g = A g B g
Assume that the indirect cost matrix of carbon emissions for each order is E A g = [ e a g i j ] , e a g i j ( i = 1 , 2 , , x ; j = 1 , 2 , , y ) , which represents the indirect cost consumed by order i in activity center j . Then, the cost driver volume matrix is set as Q g = [ q g i j ] , q g i j ( i = 1 , 2 , , x ; j = 1 , 2 , , y ) to represent the number of drivers used during order i in activity center j . The cost driver rate matrix is set as a diagonal matrix D C g = d i a g [ c g 1 , c g 2 , Λ , c g y ] , c g j ( j = 1 , 2 , , y ) to represent the driver rate of activity center j . Then,
E A g = Q g × D C g
The indirect total cost matrix of carbon emissions is set as K M g = [ k m g 1 , k m g 2 , Λ , k m g x ] T , k m g i ( i = 1 , 2 , , x ) , which represents the indirect cost of carbon emissions for order i , i.e.,
k m g i = e a g i 1 + e a g i 2 + + e a g i y

3.2.3. Total Logistics Cost Model

Assume the total logistics cost matrix is O P = [ o p 1 , o p 2 , Λ , o p x ] , o p i ( i = 1 , 2 , , x ) , which represents the total logistics cost of order i . Then,
O P = H + R + S + K M f + K M g

3.3. Prospects of Models

According to the model construction of activity-based costing in cold chain logistics enterprises, it can be seen that there is a need for a certain foundation of specialized knowledge to determine resources and activities and allocate costs to calculation objects using resource and activity drivers. Thus, the implementation of activity-based costing in low-carbon cold chain logistics enterprises may be complex and time-consuming, resulting in a burden on small and medium-sized enterprises. In addition, some may even believe that a simpler and more direct costing accounting method may be more practical and effective for cold chain logistics enterprises. However, for businesses with a single variety and workflow, traditional costing methods can meet the requirements of cost accounting. Activities and cost drivers are diverse and can establish the relationship between activities and costs. The cost calculated using activity-based costing is indeed more accurate, which also reduces the loss of sales and waste of resources that may be caused by inaccurate pricing based on the cost. It is necessary to allocate specialized knowledge resources from the perspective of reducing losses and waste, increasing profits, and enhancing enterprise competitiveness.
The implementation of activity-based costing in cold chain logistics enterprises is in line with the requirements of low-carbon and sustainable development advocated by the Chinese government. Although it has not been an overnight success, it is a trend, and with the implementation of the government’s green and low-carbon policies and measures, some cold chain logistics enterprises have already implemented low-carbon and emission reduction actions on relevant activities, which is extremely beneficial for the implementation of activity-based costing. Although the need for significant resources and specialized knowledge limits the use of the method, the addition of information technology has made the job costing method more mature and drastically lowered the cost and technical barriers to implementation. The method is easy to popularize, which will be a strong incentive for eligible enterprises to actively pursue implementation.

4. Results

Due to the influence of government subsidies, the popularity of carbon emissions trading, and the technology and environment of each region, the development of logistics cost accounting in most cold chain logistics enterprises in China is currently slow, and logistics costs are mixed. As elaborated in Section 3.3, appropriate cost accounting methods should be selected based on different business characteristics. Complex process businesses involving multiple activities should use activity-based costing, which can accurately measure the logistics costs of each activity center. The accuracy of this method in cost accounting may enable enterprises to incur unnecessary losses and thus enhance their ability to serve customers. Moreover, under the government’s policy of advocating low-carbon, energy-saving, and emission-reduction processes, the carbon emission cost for some cold chain logistics enterprises is also unclear, which leads to the omission of those enterprises in cost analyses. With the construction of the above model, and based on the theory of activity-based costing, this paper uses YS Company as a case study and investigates the cost accounting of cold chain logistics enterprises in a low-carbon environment. The results of this study realize the path of implementing efficient management of logistics costs and carbon emission control for cold chain logistics enterprises as described in the literature review. This includes focusing on the fundamental body of activity in terms of methodology and realizing cost reduction and efficiency increase by identifying higher-quality customers. Finally, this study optimizes the matching of production capacity and business volume and reduces unnecessary waste by clarifying the cost of carbon emission of wasted resources, thus realizing energy savings and emission reduction.

4.1. Case Background

YS is a cold chain logistics company headquartered in Nanjing, Jiangsu Province. In May, YS received orders for cold chain transportation of fruits and vegetables from two customers in Anhui Province, both of which required 100,000 kg of fruits and vegetables from Jiangsu Province to be delivered to their warehouses in Anhui Province within May. The customer in Xuancheng required two shipments, with 50,000 kg of fruits and vegetables being shipped to the Xuancheng warehouse every two weeks, and the Huangshan customer requested the transport of 25,000 kg of fruits and vegetables to Huangshan in four shipments, once every 1 week.
In this fruit and vegetable cold chain transportation business, the operating costs mainly include labor, materials, maintenance, general expenses, and special expenses, as listed in Table 1.
YS Cold Chain Logistics Company invested a total of CYN 125,000 into transporting fruits and vegetables for two customers. A total of CYN 15,000 was used for fuel, CYN 20,000 for refrigeration, and CYN 10,000 for lighting electricity. In order to implement the low-carbon concept, the company purchased a batch of low-carbon equipment, with an amortization of CYN 50,000 this month. A total of CYN 20,000 was invested in the research and development of low-carbon technology, and CYN 10,000 was used for public welfare and environmental protection. The total logistics cost incurred by YS Cold Chain Logistics Company in May was CYN 782,200.
This study attempts to answer the following questions. What costs are incurred in the operation of the fruit and vegetable cold chain transportation business? What methods can be used to accurately account for the costs of different customers and analyze the main activity centers that affect the operating costs and carbon costs of different customers? What methods can be used to identify high-quality customers? What methods can be used to clarify the carbon emission cost of wasting resources?

4.2. Application of the Activity-Based Costing Model

4.2.1. Clarifying the Scope of Accounting for Enterprise Logistics Costs

The logistics process of YS Cold Chain Logistics Company’s refrigerated and fresh transportation orders mainly includes order processing, inbound and outbound, storage, packaging, transportation, loading and unloading, and handling. The so-called green logistics refers to fully integrating the concept of green environmental protection into the various logistics processes mentioned above. To improve the accuracy of the company’s logistics cost accounting and clarify the idle capacity of each link, based on the constructed low-carbon cold chain logistics enterprise activity-based costing model, the total logistics cost is divided into two parts: carbon emission cost and operating cost.
The direct costs of the operation process mainly exist in two parts: labor costs and material costs, and the rest of the costs are included in the indirect costs of operation. Greenhouse gases are mainly generated from energy consumption corresponding to fuel combustion in transportation equipment, fuel combustion in refrigeration equipment, and electricity. The carbon emission overhead costs in the fruit and vegetable cold chain transportation business mainly occur in the transportation and warehousing operations, and the rest of the order consumption is included in the carbon emission direct costs. During transportation, car fuel and refrigeration equipment are used, while during storage, refrigeration and lighting equipment are used. Fuel, refrigeration power consumption, and lighting power consumption all generate greenhouse gases during use.

4.2.2. Accounting for Direct Costs Incurred by the Enterprise

YS Cold Chain Logistics Company incurred direct labor costs of CYN 45,000 and direct material costs of CYN 76,000 during its operation. The direct costs incurred in the carbon emission process include CYN 50,000 for low-carbon equipment, CYN 20,000 for research and development of low-carbon technology, and CYN 10,000 for public welfare and environmental protection, as shown in Table 2.

4.2.3. Accounting for Indirect Expenses Incurred by the Enterprise

(1)
Indirect cost accounting in the operation aspect
YS Cold Chain Logistics Company’s warehousing department’s operation processes are packaging activities and inbound and outbound activities. Three-fifths of the employees work in a packing position and two-fifths of the employees work in an in/out storage position. The labor cost of the warehousing department is CYN 45,000, the material cost is CYN 60,000, the maintenance cost is CYN 85,000, the general expenses are CYN 7000, and the special expenses are CYN 5000. The packaging activity cost can be calculated based on the number of employees as the activity driver, as shown in Table 3.
The cost of the inbound and outbound operations can be calculated based on the number of employees as the resource driver, as listed in Table 4.
Similarly, the cost of the order processing activity is CYN 10,200, the cost of the storage activity is CYN 75,000, the cost of the transportation activity is CYN 141,000, and the cost of the loading and unloading activity is CYN 108,000.
From Equation (1), the amount of the activity driver and activity driver rate for each activity center are calculated based on the activity driver of each activity center, as listed in Table 5.
From Equations (2) and (3), the indirect cost of each customer can be calculated based on the quantity and rate of activity drivers required for each customer, as listed in Table 6.
(2)
Indirect cost accounting of carbon emission
YS Cold Chain Logistics Company incurred a total of CYN 45,000 in carbon emission indirect expenses in May. Among them, transportation equipment fuel combustion totaled CYN 15,000, refrigeration equipment fuel combustion totaled CYN 20,000, and electric lighting totaled CYN 10,000. The main fuel for transportation equipment is diesel, which is required during the transportation process. Electric lighting is required during the warehousing process. Five pieces of refrigeration equipment were put into use for the cold chain transportation of fruits and vegetables, of which three were used for transportation and two were used for warehousing.
The indirect costs of carbon emissions from transportation and storage activity can be calculated based on the activity drivers, as listed in Table 7.
Equation (4) can be used to calculate the driver amount and driver rate of the activity center based on the activity drivers of the transportation activity center and the storage activity center, as listed in Table 8.
YS Cold Chain Logistics Company used two pieces of refrigeration equipment during the transportation of fruits and vegetables to the Xuancheng warehouse, one for transportation activity and one for storage activity. In completing the operations for Huangshan Storage, three pieces of refrigeration equipment were used, two for transportation and one for warehousing. In this project, the Xuancheng business consumed 45% of the electric energy and the Huangshan business consumed 55% of the electric energy. Using Equations (5) and (6), the indirect cost of carbon emissions for Xuancheng and Huangshan can be calculated based on the number of activity drivers and activity driver rates they need, as listed in Table 9.

4.2.4. Total Logistics Costing for the Company

With the application of activity-based costing, it was calculated that the direct labor cost is CYN 45,000, the direct material cost is CYN 76,000, the direct cost of carbon emission is CYN 80,000, the indirect operating cost of the Xuancheng business is CYN 224,900, the indirect operating cost of Huangshan business is CYN 311,300, the indirect carbon emission cost of the Xuancheng business is CYN 17,500, and the indirect carbon emission cost of the Huangshan business is CYN 27,500.
From Equation (7), OP = H + R + S + KMf + KMg = 45,000 + 76,000 + 80,000 + 224,900 + 311,300 + 17,500 + 27,500 = CYN 78,2200.

4.2.5. Reflection on the Application Scope of Activity-Based Costing Model

Cold chain logistics enterprises are different in terms of accounting of their logistics costs. Thus, appropriate cost accounting methods should be selected for different business characteristics, even if, as in this paper, activity-based costing is used to accurately account for the costs. This is because the five core elements that make up activity-based costing are diversified, and there are other activities that will generate logistics costs such as equipment maintenance and repair, insurance and management expenses, etc. In addition, different cost accounting objects consume different resources, so the selection of cost ranges and drivers for different cold chain logistics enterprises is not limited to the application of the activity-based costing model described in this paper.
The application used in this study sets the calculation objects of indirect costs as operating costs and carbon emission costs, which may not be applicable to all cold chain logistics enterprises. The selected resources are consumed by these two calculation objects in the Xuancheng and Huangshan businesses, respectively, with certain exclusivity. Overall, the application was designed to serve the aforementioned research purposes.
The purpose of this study was to find a path to implement efficient management of logistics costs and control of carbon emissions, which includes three aspects. These aspects can reduce waste, reduce costs, increase revenue, and reduce carbon emissions, respectively, so any one of them cannot be the only focus of logistics costing. Cold chain logistics enterprises need to improve efficiency, reduce unnecessary waste, and find a balance between improving customer service levels and reducing costs. They cannot simply reduce the level of logistics service in order to reduce carbon emission, which is often not worth the loss, and they should consider the balance of environmental and economic factors, which is essential for the long-term sustainable development of cold chain logistics.

4.3. Analysis of the Application of Activity-Based Costing in YS Cold Chain Logistics Enterprise

Comparing the cost of each customer’s activities will help distinguish the cost proportion of different activities and provide precise focus for reducing waste, reducing costs, increasing efficiency, and energy conservation and emission reduction in a low-carbon environment. At the same time, attention should be paid to whether these identified activities can reduce operating costs while also reducing carbon emissions with the application of technical equipment and technological means.

4.3.1. Helping to Identify Higher Cost Activities

(1)
Comparison of logistics costs in operations
Xuancheng and Huangshan customers both require 100,000 kg of fruits and vegetables from Jiangsu to be transported to the Anhui warehouse in May. The two orders have the same volume, and the direct costs invested in the Xuancheng and Huangshan operations are the same. Therefore, the direct costs have no impact on the comparison among logistics costs, so the calculation is omitted here. A comparison among their operating indirect costs is listed in Table 10.
In the overall composition of logistics costs for the Xuancheng order operation, the packaging operation cost accounts for the largest proportion, at CYN 60,600, followed by transportation activity at CYN 47,000 and inbound and outbound activities at CYN 40,400. From this, it can be seen that when completing Xuancheng orders in the future, packaging activities should be the main aspects that can reduce and control operational costs while also paying attention to transportation activities and inbound and outbound activities. In the overall composition of order operation logistics costs for the Huangshan order, transportation costs account for the largest proportion at CYN 94,000, followed by loading and unloading activities at CYN 72,000 and packaging activities at CYN 60,600. It can be seen from this that when completing Huangshan orders in the future, transportation should be the main aspect that can reduce and control the cost of the operation process. At the same time, attention should be paid to the loading and unloading activity and packaging activity. The total operation cost of the Xuancheng order is CYN 86,400 less than that of the Huangshan order, of which the difference between the two customers in the cost of transportation is the largest at CYN 47,000, followed by CYN 36,000 for the loading and unloading activity. It can be seen that transportation activity and loading/unloading and handling are the main activity centers that affect the operation cost.
(2)
Comparison among logistics costs for carbon emissions
Both Xuancheng and Huangshan customers require 100,000 kg of fruits and vegetables from Jiangsu be transported to the Anhui warehouse within May. The order volume of the two is the same, and the direct costs invested in the business of Xuancheng and Mount Huangshan in carbon emission control are the same. Therefore, the direct costs have no impact on the comparison of logistics costs, so the calculation is omitted here. A comparison among their carbon emissions indirect cost is shown in Table 11.
In the overall composition of carbon emission logistics costs for the Xuancheng order, the fuel cost consumed by transportation activities accounts for the largest proportion, at CYN 5000, followed by the lighting cost consumed by warehousing activities at CYN 4500. This shows that the transportation and storage activities are the main aspects that can reduce carbon emissions and control carbon emission costs when fulfilling the Xuancheng order. In the overall composition of carbon emission logistics costs for the Huangshan order, the fuel cost consumed by transportation activities accounts for the largest proportion at CYN 10,000, followed by the refrigeration cost consumed by transportation activities at CYN 8000. This shows that transportation activity is the main aspect that can reduce carbon emissions and control carbon emission costs when fulfilling the Xuancheng order. The total carbon emission cost of Xuancheng orders is CYN 10,000 less than that of the Huangshan order. The difference between the fuel cost of the two customers’ transportation activities is the largest, which is CYN 5000, followed by the refrigeration cost of CYN 4000. From this, it can be seen that transportation activities are the main activity centers that affect carbon emissions and carbon emission costs.
For the main activity centers found to affect the operation cost and carbon emission cost of different customers, which are the main focuses of cost reduction, targeted energy saving and consumption reduction measures can be taken to reduce unnecessary waste.

4.3.2. Identifying High-Quality Customers

When calculating the fruit and vegetable cold chain transportation business of YS Cold Chain Logistics Company in May, activity-based costing directly reflects the cost difference between the Xuancheng and Huangshan orders in each operation process. Because the order volume is the same, the direct costs of the two are the same, and the logistics costs of both customers are analyzed mainly with an indirect cost comparison, as listed in Table 12. Using the calculation of relevant data, it can be concluded that for the same order volume, Xuancheng’s business logistics total is CYN 96,400 less than Huangshan’s, including CYN 3400 less than Huangshan in order processing activity, CYN 500 less than Huangshan in storage activity, CYN 56,500 less than Huangshan in transportation activity, and CYN 36,000 less than Huangshan in loading and unloading activity.
From the perspective of cost, Xuancheng customers have a lower cost than Huangshan customers. Based on the difference between the price and cost of the order, the profit amount and profit margin for each order can be derived and high-quality customers can be identified. In addition, emphasis can be placed on order selection to achieve the same or higher profits with lower cost consumption, which is also a method for enterprises to practice low-carbon cold chain logistics. At the same time, based on the accurate calculation of logistics costs for each customer, corresponding resources can be matched based on the amount of each operation cost, avoiding waste caused by insufficient or redundant resources. This is also the unique role of activity-based costing in reducing potential costs in cold chain logistics enterprises, thereby contributing to energy conservation and emission reduction.

4.3.3. Helping to Clarify the Carbon Emission Costs of Wasting Resources

Large-scale waste is bound to occur in the traditional logistics and transportation process, which has a more serious impact on the ecological environment, leading to an increasing ecological burden and deteriorating environmental problems. Carbon emission cost is a quantitative statistical analysis of greenhouse gas emissions generated during cold chain transportation. The carbon emissions of the studied fruit and vegetable cold chain transportation orders are mainly generated during transportation activities and storage activities. In addition to being concerned about carbon emissions due to the actual consumption of resources in transportation and warehousing operations, we are also concerned about the cost of carbon emissions due to the mismatch between the resources provided and the volume of business, which often leads to wastage of resources, and such costs are often easy to be overlooked. Carbon emissions depend on fuel energy, refrigeration energy, and lighting electricity consumed during transportation and storage. A total of five pieces of refrigeration equipment were put into operation, including three for transportation and two for storage, and the business was completed in a total of six shipments. According to the company’s performance statistics, dispatching a vehicle consumed 20 min, turning on refrigeration equipment consumed 60 min, and the effective utilization rate of the electricity in the warehousing process is 85%. The time for one transport was about 3 h, with a total of 31 days in May and a daily time of 24 h. The activity hours used while consuming each resource are shown in Table 13.
The volume and rate of drivers in each activity center are listed in Table 14.
The actual consumption cost is listed in Table 15.
The carbon emission cost of wasting resources is listed in Table 16.
It can be seen that the carbon emission cost rate of wasted resources in lighting and fuel energy consumption is relatively high. The company needs to strengthen management to reduce the waste of electricity and improve the effective utilization of transportation operation scheduling. Using the activity-based costing method is beneficial for clarifying the carbon emission cost of wasting resources. It can identify the degree of matching between the configured activity resources and business volume from the perspective of carbon emissions. Then, it can identify the consequent waste of carbon emissions in order to further optimize resource configuration and reduce cost driver rates.

5. Conclusions and Implications

5.1. Conclusions

With the increasing severity of global climate warming and resource scarcity, the low-carbon development of energy conservation and emission reduction is receiving increasing attention from the Chinese government. Due to fierce market competition, cold chain logistics enterprises are facing the double pressure of cost reduction and energy saving and emission reduction, and they have implemented measures to purchase equipment in terms of carbon emission and invested in research and development of low-carbon technology to reduce carbon emissions. Cold chain logistics is more diversified and complex, and the operation links and cost structure are more complicated. Accurately calculating the cost of each business is conducive to pricing when undertaking business, increasing profit, and reducing waste. Traditional costing methods can no longer meet the needs of cold chain logistics costing. In this paper, we first constructed a model of activity-based costing for cold chain logistics companies, providing operational and carbon emission cost models from the perspectives of direct and indirect costs. Direct costs refer to the resources directly consumed by determined customers (orders) and can be accurately calculated using traditional costing methods. Indirect costs need to be shared among different customers (orders) due to the consumption of resources. Accounting using activity-based costing will make the indirect costs allocated to each customer (order) more accurate. This lays a theoretical foundation for further analyzing additional carbon emissions, due to activity redundancy and waste of resources, and promoting the green, low-carbon, and sustainable development of cold chain logistics enterprises. Finally, the model is applied to account for direct, indirect, and total costs including operating costs and carbon emission costs in a typical enterprise YS Cold Chain Logistics, and an empirical analysis is conducted. Regarding the main activity centers found to affect the operation cost and carbon emission cost of different customers, which are the main focus of cost reduction, targeted energy saving and consumption reduction measures can be implemented to reduce unnecessary waste. For the identified high-quality customers, emphasis can be placed on order selection to achieve the same or higher profits with lower cost consumption, which is also a method for enterprises to practice low-carbon cold chain logistics. To identifying the carbon emission costs of wasting resources, it is possible to discover the degree of matching between configured activity resources and business volume from the perspective of carbon emissions and then identify the consequent waste of carbon emissions in order to further optimize resource configuration and reduce cost driver rates. Using a comparative analysis of the model and case application data, the path to implementing efficient logistics cost management in a low-carbon environment was found. Implementing logistics cost management according to this path is conducive to further reducing waste, reducing costs, increasing efficiency, reducing carbon emissions, and helping to realize the long-term development of the cold chain logistics industry and environmental protection.

5.2. Shortcomings and Prospects

This paper mainly investigated the application of activity-based costing in cold chain logistics companies. At present, the cost of cold chain logistics is high, which affects the development speed of cold chain logistics. The low-carbon concept has not been developed enough, and the green development of cold chain logistics is restricted. The shortcomings of this paper include the following. For the convenience of cost calculation, the data in this paper are not very comprehensive. The improvement of the living standard of the residents does not affect the path and conclusion of cold chain logistics cost management in a low-carbon environment that this article aims to express. The demand for high-quality cold chain logistics is increasing, and thus cold chain logistics companies are attempting to refine the management of temperature, packaging materials, freshness time, monitoring equipment, and other factors required for cold chain products. However, the impact of changes in these factors on cost is less studied in this paper. With the continuous expansion of the market, low-carbon cold chain logistics has great development space, which cannot be separated from the support of policies. These policies can effectively guide the energy-saving and emission reduction of some activities of cold chain logistics enterprises, which is of great significance for promoting low-carbon and green development of cold chain logistics. However, research on the promotion of national policies in this paper still needs to be improved.
The application of activity-based costing is receiving more and more attention, and the finer and deeper division of drivers is more in line with the cost accounting needs of cold chain logistics enterprises. In the future, with the promotion of scientific and technological innovation, the depth of the concept of a low-carbon economy, and the support of green logistics policy, activity-based costing will be widely popularized due to its ability to accurately account for logistics costs, accurately analyze the resources consumed by each activity, identify the key points of cost management, and reduce the cost of carbon emission that wastes resources. On this basis, it will further improve and enrich the path of cost management of cold-chain logistics in a low-carbon environment, which will in turn realize the creation of green circulation and high-quality sustainable development of cold-chain logistics enterprises in a new pattern.

Author Contributions

Conceptualization, G.X.; methodology, J.G.; formal analysis, J.G.; investigation, Y.Y.; resources, Y.Y.; data curation, J.J.; writing—original draft preparation, Y.Y.; writing—review and editing, J.J.; visualization, R.W.; supervision, R.W.; project administration, G.X. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Cao, H.J.; Wu, X.J.; Li, J. Analysis on Accounting Treatment of Carbon Emission Rights for Enterprises under the Dual Carbon Target. Chin. Certif. Public Account. 2022, 12, 68–70. [Google Scholar]
  2. Wang, C.H.; Luo, F. Theoretical basis, Evolutionary logic and Innovative Development of China’s Carbon Emission Trading Policy. J. Party Sch. Tianjin Comm. CPC 2023, 25, 43–53. [Google Scholar]
  3. Su, L.J. Construction of Carbon Emission Trading Accounting System under the Perspective of Chinese Modernization. Financ. Account. Mon. 2023, 44, 47–53. [Google Scholar]
  4. Sharma, R.K.; Dharni, K.; Smagh, A.; Vashisht, P. Relationship between Logistics Cost and Relative Firm Efficiency in Indian Food Processing Sector. J. Econ. Manag. Trade 2021, 27, 42–52. [Google Scholar] [CrossRef]
  5. Muha, R. An Overview of the Problematic Issues in Logistics Cost Management. Pomor. Sci. J. Marit. Res. 2019, 33, 102–109. [Google Scholar] [CrossRef]
  6. Barbosa, M.W.; de Sousa, P.R.; de Oliveira, L.K. The Effects of Barriers and Freight Vehicle Restrictions on Logistics Costs: A Comparison before and during the COVID-19 Pandemic in Brazil. Sustainability 2022, 14, 8650. [Google Scholar] [CrossRef]
  7. Chakrabartty, S.N. Understanding National Level Logistics Costs: Methodological Approach. J. Asian Econ. Integr. 2022, 4, 195–207. [Google Scholar] [CrossRef]
  8. Du, H. The Research of Enterprise Logistics Cost Management. Logist. Sci-Tech 2017, 5, 34–36. [Google Scholar]
  9. Liu, C.X. Research on Accounting for Logistics Costs in Manufacturing Enterprises. China Storage Transp. 2022, 10, 185–186. [Google Scholar]
  10. Liu, H.J. Research on the cost management of enterprise logistics from the perspective of supply chain. China J. Commer. 2018, 4, 5–6. [Google Scholar]
  11. Dong, Z. Experimental analysis of the impact of implicit cost control on enterprise logistics cost management. China J. Commer. 2017, 10, 91–92. [Google Scholar]
  12. Yu, M.; Sun, Y.; Zhang, P. Research on accounting for logistics cost of enterprises. China Logist. Purch. 2023, 2, 121–122. [Google Scholar]
  13. Cui, X.D. New Thoughts on the Index of Social Logistics Cost and Competitiveness. China Bus. Mark. 2018, 9, 11–19. [Google Scholar]
  14. Zhang, C.G. Research on Enterprise Logistics Cost Management under the Background of Supply Side Reform. Logist. Eng. Manag. 2019, 11, 61–62. [Google Scholar]
  15. Fan, S.W. Research on accounting for logistics costs in manufacturing enterprises based on operational processes. J. Xingtai Univ. 2022, 37, 86–89, 95. [Google Scholar]
  16. Zhang, K.W. A Management Accounting Change Programme: Activity-Based Costing. Acad. J. Bus. Manag. 2022, 4, 38–41. [Google Scholar]
  17. Yu, L.D. Analysis of logistics cost management of Guangxi ASEAN based on Activity-Based Cost. China Logist. Purch. 2021, 4, 49–50. [Google Scholar]
  18. Zhang, H. Study on the Application of ABC in the Cost Management of HG Logistics Company. Master’s Thesis, Shenyang University of Technology, Shenyang, China, 2021. [Google Scholar]
  19. Li, N. Study on the Application of Operational Cost Method in MN Logistics Enterprise. Master’s Thesis, Hebei University of Geosciences, Baoding, China, 2022. [Google Scholar]
  20. Shangguan, H.J.; Liu, C.J. New Ideas of Logistics Cost Management for SMEs—ABC+NEV. Logist. Sci-Tech 2023, 3, 66–68. [Google Scholar]
  21. Zhang, R.; Li, J. The Application of Activity-Based Costing in the Cost Calculation of Thermal-Power Enterprise. Therm. Sci. 2021, 25, 933–939. [Google Scholar] [CrossRef]
  22. Han, D.S. Logistics cost analysis based on Activity-Based Costing—MY company as an example. China Circ. Econ. 2022, 22, 148–151. [Google Scholar]
  23. Huang, L.L. Research on Cold Chain Logistics Cost of Fresh Electricity Supplier in Guangdong Province Based on Activity-based Costing. Logist. Sci-Tech 2022, 13, 146–148, 152. [Google Scholar]
  24. Ye, C.Q. Exploring the application of Activity-Based Cost in enterprise logistics system. Econ. Res. Guide 2021, 16, 14–16. [Google Scholar]
  25. Liu, H.L.; Dang, M.H. Application of operational cost method in enterprise logistics cost management. China Logist. Purch. 2022, 18, 81–82. [Google Scholar]
  26. Gokhale, P.; Jadhav, D. A Study on Application of Activity Based Costing in Sheet Metal Industry at Belagavi, Karnataka. Ind. Eng. Manag. 2018, 7, 1000262. [Google Scholar] [CrossRef]
  27. Jiao, L.Y. Research on the Application of Activity-Based Costing in M Company. Master’s Thesis, Chang’an University, Xi’an, China, 2022. [Google Scholar]
  28. Liu, X.F. Cost Control Research of A Logistics Enterprises Based on Activit-Based Costing. Master’s Thesis, Xi’an University of Technology, Xi’an, China, 2021. [Google Scholar]
  29. Stopka, O.; Stopkova, M.; Rybicka, I.; Gross, P.; Jeřábek, K. Use of activity-based costing approach for cost management in a railway transport enterprise. Sci. J. Sil. Univ. Technol. Ser. Transp. 2021, 111, 151–160. [Google Scholar] [CrossRef]
  30. Gui, P.F.; Na, S.Y. Empirical Study on the Application of Activity-Based Cost Model in Marine Third-Party Logistics Cost Management. J. Coast. Res. 2019, 98, 195–198. [Google Scholar] [CrossRef]
  31. Zhang, M. Optimization of Cost Management for Fresh Logistics Enterprises under the Development Concept of “Carbon Neutrality”—Aking a Cold Chain as an Example. China Logist. Purch. 2022, 18, 65–66. [Google Scholar]
  32. Liu, R.; Liu, Z.; Zhao, J.Y.; Cui, D.D.; Jiang, H. Research on Carbon Emission Accounting Methods of Logistics Industry at Home and Abroad. Transp. Energy Conserv. Environ. Prot. 2023, 3, 64–71. [Google Scholar]
  33. Zhao, C. Optimization Strategy Selection of China’s Commercial Circulation System from the Perspective of Carbon Neutrality. China J. Commer. 2023, 2, 4–6. [Google Scholar]
  34. Chen, B.L.; Zhang, Z.Y.; Li, W.H. Optimization Research on Vehicle Routing Problem of Low-carbon Cold Chain Joint Distribution Based on the Single Distribution Center. Logist. Sci-Tech 2022, 7, 150–154. [Google Scholar]
  35. Ren, F. How to achieve low-carbon development in cold chain logistics. Logist. Mater. Handl. 2022, 27, 12–15. [Google Scholar]
  36. Jia, K.Y. Research on the Efficiency of Low-Carbon Logistics for Countries along “The Belt and Road”. Master’s Thesis, Chongqing University of Posts and Telecommunications, Chongqing, China, 2021. [Google Scholar]
  37. Deng, H.X.; Zhou, J.; Hu, Y. Optimization model of the cold chain logistics distribution path of fresh agricultural products considering carbon emission. J. Chongqing Univ. Technol. Nat. Sci. 2023, 37, 289–297. [Google Scholar]
  38. Wang, M.X. Research Progress of Low-Carbon Cold Chain Logistics System. Build. Technol. 2022, 3, 11–13. [Google Scholar]
  39. Long, J.R.; Zhong, C.B.; Ahmad, B.; Irfan, M.; Nazir, R. How do green financing and green logistics affect the circular economy in the pandemic situation: Key mediating role of sustainable production. Econ. Res. Ekon. Istraz. 2022, 35, 3836–3856. [Google Scholar]
  40. Fang, W.T. Study on Optimization of Cold Chain Logistics Distribution Path Considering Green Cost. Master’s Thesis, Xidian University, Xi’an, China, 2020. [Google Scholar]
  41. Li, Y.; Lim, M.K.; Hu, J.Y.; Tseng, M.L. Investigating the effect of carbon tax and carbon quota policy to achieve low carbon logistics operations. Resour. Conserv. Recycl. 2020, 154, 104535. [Google Scholar] [CrossRef]
  42. Yang, A.; Liu, J.; Wang, Y. Research on Optimization Strategy of Cold-chain Logistics Car Scheduling. J. Phys. Conf. Ser. 2021, 1910, 012033. [Google Scholar] [CrossRef]
Figure 1. Logistics Cost Accounting Process for Cold Chain Logistics Enterprises.
Figure 1. Logistics Cost Accounting Process for Cold Chain Logistics Enterprises.
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Table 1. Logistics cost of operation link.
Table 1. Logistics cost of operation link.
Cost TypeSpecific TypesAmount of Funding
(CYN)
Total Provision
(CYN)
Labor costsDirect labor costs-45,000162,500
Indirect labor costsWages87,000
Benefit allowance30,500
Material costsDirect material costs-76,000214,000
Indirect material costsMaterial and tool costs138,000
Maintenance costsIndirect expensesEquipment maintenance costs17,200220,700
Insurance fee4300
Road and bridge expenses45,000
Warehouse rental85,500
Depreciation68,700
General expensesIndirect expensesOffice expenses17,50039,500
Travel expenses12,500
Communication expenses9500
Special fundingIndirect expensesInventory-related expenses20,50020,500
Total657,200657,200
Table 2. Direct costs of the operating process of YS Cold Chain Logistics Company.
Table 2. Direct costs of the operating process of YS Cold Chain Logistics Company.
ClassificationSpecific TypeDirect Cost (CYN)Total (CYN)
Operation aspectDirect labor costs H145,000121,000
Direct material costs R176,000
Carbon emission aspectLow-carbon equipment S150,00080,000
Low-carbon technology S220,000
Public welfare and environmental protection S310,000
Table 3. Indirect costs of the packaging activity center.
Table 3. Indirect costs of the packaging activity center.
Cost Type Amount of Cost
(CYN)
Resource DriverAmount of
Resource Driver
Indirect Cost of Activity Center
(CYN)
Labor costs45,000Number of employees3/527,000
Material costs60,000Number of employees3/536,000
Maintenance costs85,000Number of employees3/551,000
General expenses7000Number of employees3/54200
Special provisions5000Number of employees3/53000
Total202,000Operation center overhead costs af1121,200
Table 4. Indirect costs of the inbound and outbound activity centers.
Table 4. Indirect costs of the inbound and outbound activity centers.
Cost TypeAmount of Cost
(CYN)
Resource DriverAmount of
Resource Driver
Indirect Cost of Activity Center
(CYN)
Labor costs45,000Number of employees2/518,000
Material costs60,000Number of employees2/524,000
Maintenance costs85,000Number of employees2/534,000
General expenses7000Number of employees2/52800
Special provisions5000Number of employees2/52000
Total202,000Operation center overhead costs af280,800
Table 5. The quantity and rate of drivers in each activity center.
Table 5. The quantity and rate of drivers in each activity center.
Activity Center j Activity DriverAmount of
Activity Driver bfj
Indirect Cost of
Activity Center (CYN) afj
Distribution Ratio of the Activity Driver cfj
Order processing activitiesNumber of times610,2001700
Inbound and outbound activitiesWeight (kg)200,00080,8000.404
Storage activitiesWeight (kg)200,00075,0000.375
Packing activitiesWeight (kg)200,000121,2000.606
Shipping activitiesWeight (kg)6141,00023,500
Loading and unloading activitiesBatch24108,0004500
Table 6. Allocation of indirect costs for the operating aspect.
Table 6. Allocation of indirect costs for the operating aspect.
Activity Center j Distribution Ratio of
the Activity Driver cfj
Xuancheng Customers ( i = 1)Huangshan Customers ( i = 2)
Amount of
Activity Driver
bf1j
Indirect Cost
(CYN)
eaf1j
Amount of
Activity Driver
bf2j
Indirect Cost
(CYN)
eaf2j
Order processing activities17002340046800
Inbound and outbound activities0.404100,00040,400100,00040,400
Storage activities0.375100,00037,500100,00037,500
Packing activities0.606100,00060,600100,00060,600
Shipping activities23,500247,000494,000
Loading and unloading activities4500836,0001672,000
Total operating indirect costs (CYN) kmfi224,900 311,300
Table 7. Indirect costs of carbon emissions in the activity center.
Table 7. Indirect costs of carbon emissions in the activity center.
Activity CenterCost TypeAmount of Cost
(CYN)
Resource DriverAmount of
Resource Driver
Indirect Cost of
Carbon Emission
(CYN)
Total
(CYN)
TransportationFuel costs15,000Number of transportation115,00027,000
Refrigeration costs20,000Number of equipment3/512,000
Lighting costs10,000Electricity degrees00
StorageFuel costs15,000Number of transportation0018,000
Refrigeration costs20,000Number of equipment2/58000
Lighting costs10,000Electricity degrees110,000
Table 8. Amount and rate of drivers of carbon emission.
Table 8. Amount and rate of drivers of carbon emission.
Activity Center j Activity DriverAmount of
Activity Driver bgj
Indirect Cost of
Carbon Emission (CYN) agj
Activity Driver
Rate cgj
TransportationNumber of transports615,0002500
Number of equipment312,0004000
Electricity degrees100
StorageNumber of transports000
Number of equipment280004000
Electricity degrees110,00010,000
Table 9. Allocation of indirect costs of carbon emission.
Table 9. Allocation of indirect costs of carbon emission.
Activity Center j Activity Driver cgjXuancheng Customer ( i = 1)Huangshan Customer ( i = 2)
Amount of
Activity Driver
bf1j
Carbon Emission
Indirect Cost (CYN)
eag1j
Amount of
Activity Driver
bg2j
Carbon Emission
Indirect Cost (CYN)
eag2j
Transportation250025000410,000
40001400028000
00000
Storage00000
40001400014000
10,0009/20450011/205500
Total indirect cost of carbon emissions (CYN) kmgi17,500 27,500
Table 10. Operating indirect costs.
Table 10. Operating indirect costs.
Activity CenterXuancheng Operating
Indirect Costs
Huangshan Operating
Indirect Costs
Difference between the Two
(CYN)
Order processing activities34006800−3400
Inbound and outbound activities40,40040,4000
Storage activities37,50037,5000
Packing activities60,60060,6000
Shipping activities47,00094,000−47,000
Loading and unloading activities36,00072,000−36,000
Total operating indirect costs224,900311,300−86,400
Table 11. Indirect costs of carbon emissions.
Table 11. Indirect costs of carbon emissions.
Activity CenterCost TypeCarbon Emissions Indirect
Costs of Xuancheng Project
Carbon Emissions Indirect
Costs of Huangshan Project
Difference between
the Two (CYN)
TransportationFuel costs500010,000−5000
Refrigeration costs40008000−4000
Lighting costs000
StorageFuel costs000
Refrigeration costs400040000
Lighting costs45005500−1000
Total indirect cost of carbon emissions17,50027,500−10,000
Table 12. Logistics cost comparison.
Table 12. Logistics cost comparison.
Activity CenterXuancheng Indirect
Costs (CYN)
Huangshan Indirect
Costs (CYN)
Difference between
the Two (CYN)
The Proportion
of Differences between the Two
Order processing activity34006800−34003.53%
Inbound and outbound activity40,40040,40000.00%
Storage activity46,50047,000−5000.52%
Packing activity60,60060,60000.00%
Shipping activity55,500112,000−56,50058.61%
Loading and unloading activity36,00072,000−36,00037.34%
Total Cost242,400338,800−96,400100.00%
Table 13. Activity hours used while consuming each resource. Unit: Hour.
Table 13. Activity hours used while consuming each resource. Unit: Hour.
Transport ActivityStorage ActivityNot UsedTotal
Fuel6 × 3 = 18020 × 6/60 = 220
Refrigeration6 × 3 = 187395 × 60/60 = 5762
Electricity031 × 24 × 85% = 632.431 × 24 × 15% = 111.6744
Table 14. The volume and rate of drivers in each resource center.
Table 14. The volume and rate of drivers in each resource center.
FuelRefrigerationLighting
Resource cost (CYN)15,00020,00010,000
Amount of resource driver (Hour)20762744
Resource driver rate (CYN/Hour)75026.2513.44
Table 15. Actual consumption cost.
Table 15. Actual consumption cost.
Resource Driver Rate (CYN/Hour)Driver Volume of Resources Used (Hour)Resources Used (CYN)
TransportationStorageTransportationStorage
Fuel75018013,5000
Refrigeration26.2518739472.4419,396.33
Lighting13.440632.408500
Table 16. The carbon emission cost of wasting resources.
Table 16. The carbon emission cost of wasting resources.
Resource Driver Rate (CYN/Hour)Drivers Volume of Wasted Resource (Hour)Wasted Resources (CYN)Activity-Based Cost (CYN)Cost Rate of Carbon Emissions from Wasted Resources (%)
Fuel7502150015,00010
Refrigeration26.255131.2320,0000.66
Lighting13.44111.6150010,00015
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Yang, Y.; Jiang, J.; Wang, R.; Xu, G.; Gu, J. Study on the Application of Activity-Based Costing in Cold Chain Logistics Enterprises under Low Carbon Environment. Sustainability 2023, 15, 13808. https://doi.org/10.3390/su151813808

AMA Style

Yang Y, Jiang J, Wang R, Xu G, Gu J. Study on the Application of Activity-Based Costing in Cold Chain Logistics Enterprises under Low Carbon Environment. Sustainability. 2023; 15(18):13808. https://doi.org/10.3390/su151813808

Chicago/Turabian Style

Yang, Yujie, Jinde Jiang, Rong Wang, Guoyin Xu, and Jing Gu. 2023. "Study on the Application of Activity-Based Costing in Cold Chain Logistics Enterprises under Low Carbon Environment" Sustainability 15, no. 18: 13808. https://doi.org/10.3390/su151813808

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