Sustainability

13 pages, 355 KiB

Open AccessArticle

Exploring How to Optimise Transformative Pro-Environmental Behaviour Changes via Nudging on Shared Values Crystallisation

by Rahel N. Tening, Chike C. Ebido and Marie K. Harder

Sustainability 2024, 16(22), 9773; https://doi.org/10.3390/su16229773 (registering DOI) - 8 Nov 2024

Abstract

Transformative learning processes that can trigger deep and long-lasting behaviour changes are highly sought after for targeted improvements ranging from human diet and health to pro-environmental behaviours. A step forward was the reporting of a method that reliably produces transformative learning outcomes (TLOs) [...] Read more.

Transformative learning processes that can trigger deep and long-lasting behaviour changes are highly sought after for targeted improvements ranging from human diet and health to pro-environmental behaviours. A step forward was the reporting of a method that reliably produces transformative learning outcomes (TLOs) as an (incidental) effect of group shared values crystallisation, but the theme of the TLOs could not be targeted, e.g., for pro-environmental behaviours. A recent exploratory study bolted on environmentally themed pre-Nudging and unexpectedly produced a heavy bias towards pro-environmental behaviour changes. Here, we investigated more systematically the influences of different Nudging types upon TLO themes produced using two further case study designs created for comparability with earlier studies and using the same process (WeValue InSitu) and post-event data collection of TLOs categorised as environmental/not and behavioural/not. Our findings show that most Nudging had no effect, including raising the profile of environmental photos and the materials used in the crystallisation process, having participants reflect on their environmental identities, or emphasising environmental topics before going home. However, Nudging which involved answering written questions on specific personal pro-environmental actions such as recycling, applied early on, was linked to desired results. This has pragmatic significance for sustainability practitioners and raises questions for further research on the mechanisms of both active learning and Nudging. Full article

(This article belongs to the Section Environmental Sustainability and Applications)

15 pages, 1459 KiB

Open AccessArticle

Predicting Ride-Hailing Demand with Consideration of Social Equity: A Case Study of Chengdu

by Xinran Chen, Meiting Tu, Dominique Gruyer and Tongtong Shi

Sustainability 2024, 16(22), 9772; https://doi.org/10.3390/su16229772 (registering DOI) - 8 Nov 2024

Abstract

In the realm of shared autonomous vehicle ride-sharing, precise demand prediction is vital for optimizing resource allocation, improving travel efficiency, and promoting sustainable transport solutions. However, existing studies tend to overlook social attributes and demographic characteristics across various regions, resulting in disparities in [...] Read more.

In the realm of shared autonomous vehicle ride-sharing, precise demand prediction is vital for optimizing resource allocation, improving travel efficiency, and promoting sustainable transport solutions. However, existing studies tend to overlook social attributes and demographic characteristics across various regions, resulting in disparities in prediction fairness between areas with plentiful and limited transportation resources. In order to achieve more accurate and fair prediction, an innovative Social Graph Convolution Long Short-Term Memory framework is proposed, incorporating demographic, spatial, and transportation accessibility information into multiple functional graphs, including functional similarity, population structure, and historical demand graphs. Furthermore, Mean Percentage Error indicators are employed in the loss function to balance prediction accuracy and fairness. The findings indicate that there is an enhancement in both prediction accuracy and fairness by at least 8.9% and 12.9%, respectively, compared to base models. Additionally, the predictions for rush hours in both privileged and underprivileged regions exhibit greater precision and rationality, supporting sustainable transport practices. The proposed framework effectively captures the demands of diverse social groups, thereby contributing to the advancement of social equity and long-term sustainability in urban mobility. Full article

14 pages, 706 KiB

Open AccessArticle

The “Ruined Landscapes” of Mediterranean Islands: An Ecological Framework for Their Restoration in the Context of SDG 15 “Life on Land”

by Reeya Ghose Roy, Leanne Camilleri and Sandro Lanfranco

Sustainability 2024, 16(22), 9771; https://doi.org/10.3390/su16229771 (registering DOI) - 8 Nov 2024

Abstract

The “ruined landscapes” of the Mediterranean littoral are a consequence of millennia of human impact and include abandoned agricultural lands, deforested areas, and degraded coastal areas. One of the drivers is the historical pattern of land use, which has resulted in the clearing [...] Read more.

The “ruined landscapes” of the Mediterranean littoral are a consequence of millennia of human impact and include abandoned agricultural lands, deforested areas, and degraded coastal areas. One of the drivers is the historical pattern of land use, which has resulted in the clearing of vegetation, soil erosion, and overgrazing. These have caused significant damage to natural ecosystems and landscapes leading to soil degradation, loss of biodiversity, and the destruction of habitats. The UN Sustainable Development Goal 15 “Life on Land” recommends a substantial increase in afforestation (SDG 15.2). Whilst this goal is certainly necessary in places, it should be implemented with caution. The general perception that certain ecosystems, such as forests, are inherently more valuable than grasslands and shrublands contributes to afforestation drives prioritising quick and visible results. This, however, increases the possibility of misguided afforestation, particularly in areas that never supported forests under the present climatic conditions. We argue that in areas that have not supported forest ecosystems, targeted reinforcement of existing populations and recreation of historical ones is preferable to wholesale ecosystem modification disguised as afforestation. We present a possible strategy for targeted reinforcement in areas that never supported forests and that would still achieve the goals of SDGs 15.5 and 15.8. Full article

(This article belongs to the Special Issue Advances in Sustainability Research at the University of Malta)

18 pages, 3183 KiB

Open AccessArticle

Determine the Profiles of Power Consumption in Commercial Buildings in a Very Hot Humid Climate Using a Temporary Series

by E. Catalina Vallejo-Coral, Ricardo Garzón, Miguel Darío Ortega López, Javier Martínez-Gómez and Marcelo Moya

Sustainability 2024, 16(22), 9770; https://doi.org/10.3390/su16229770 (registering DOI) - 8 Nov 2024

Abstract

With the growth of the nations, the commercial and public services sectors have recently seen an increase in their electricity usage. This demonstrates how crucial it is to understand a building’s behavior in order to lower its usage. This requires on-site data collection [...] Read more.

With the growth of the nations, the commercial and public services sectors have recently seen an increase in their electricity usage. This demonstrates how crucial it is to understand a building’s behavior in order to lower its usage. This requires on-site data collection by qualified professionals and specialized equipment, which represents high costs. However, multiple studies have demonstrated that it is possible to find electricity-saving strategies from the study of electricity usage, recorded in an hourly period or less, captured by smart meters. In this context, the present study applies a methodology to determine useful information on the operation and characteristics of public buildings on the Ecuadorian coast based on the data gathered over a period of five consecutive months from smart meters. The methodology consists of four steps: (1) data cleaning and filling, (2) time-series decomposition, (3) the generation of consumption profile and (4) the identification of the temperature influence. According to the results, the pre-cooling of spaces accounts for 5% of all electricity used in the commercial buildings, while prolonged shutdown uses 10%. Approximately USD 1100 per month would be spent on the main building and USD 78 on the agency as a result. Full article

(This article belongs to the Special Issue Digital Twinning of Energy and Thermal Systems for Urban Sustainability)

► Show Figures

Figure 1

24 pages, 1825 KiB

Open AccessReview

Sustainability in Long-Term Surface Mine Planning: A Systematic Review of Operations Research Applications

by Mehri Aghdamigargari, Sylvester Avane, Angelina Anani and Sefiu O. Adewuyi

Sustainability 2024, 16(22), 9769; https://doi.org/10.3390/su16229769 (registering DOI) - 8 Nov 2024

Abstract

The mining industry, critical for global resource supply, has historically been linked to significant environmental degradation and social challenges, including habitat disruption, water and soil contamination, as well as fatalities. But recently, the industry has been undergoing a transformative change to meet evolving [...] Read more.

The mining industry, critical for global resource supply, has historically been linked to significant environmental degradation and social challenges, including habitat disruption, water and soil contamination, as well as fatalities. But recently, the industry has been undergoing a transformative change to meet evolving environmental and societal expectations. Operations Research (OR) provides essential tools and techniques to optimize decision-making processes in this context. This paper presents a comprehensive review of different OR methods and their applications in balancing economic, social, and environmental objectives in surface mine planning. Of the 63 papers reviewed, 45 were published by researchers from three main countries: Canada, the United States, and Australia, with 73% of these papers appearing in journals. This review highlighted that linear programming (LP), dynamic programming (DP), Lagrangian relaxation (LR), stochastic programming, and metaheuristics are among the most widely applied methods in surface mine planning within a sustainable development (SD) context. By evaluating the strengths and limitations of these techniques, this review offers valuable insights for researchers and practitioners aiming to improve production efficiency and sustainability through advanced planning strategies. Full article

(This article belongs to the Special Issue Modelling and Optimization for Sustainable Resource Development)

► Show Figures

Figure 1

19 pages, 3794 KiB

Open AccessArticle

Are We on the Same Page? Chinese General Visitors’ Perception of the Role of Museums in Sustainable Development

by Xingyu Zhao, Ruohan Mao and Jingfang Ai

Sustainability 2024, 16(22), 9768; https://doi.org/10.3390/su16229768 (registering DOI) - 8 Nov 2024

Abstract

The issue of sustainability has emerged as a focal point within the museum sector. This article aims to investigate the perceptions and attitudes of Chinese general visitors towards museums and sustainability. To achieve this, we employed a visitor evaluation approach, with inhabitants of [...] Read more.

The issue of sustainability has emerged as a focal point within the museum sector. This article aims to investigate the perceptions and attitudes of Chinese general visitors towards museums and sustainability. To achieve this, we employed a visitor evaluation approach, with inhabitants of the Chinese mainland serving as the target population. We conducted a survey using an online questionnaire, yielding a total of 1260 valid samples. The study finds that most museum visitors in mainland China see a strong link between museums and sustainable development, with factors like age, gender, education, familiarity with sustainable development, and museum interaction shaping these perceptions. The results indicate that large segments of the Chinese visitors hold a favourable perception of the significance of museums in terms of environmental, social, economic, and cultural sustainability. However, the visitor generally does not wish to sacrifice their own visiting experience to enhance museums’ sustainable development capacities. The article examines the relationship between museums and sustainability and offers recommendations for museum practice and policymaking in China and beyond. Full article

(This article belongs to the Section Tourism, Culture, and Heritage)

► Show Figures

Figure 1

23 pages, 1116 KiB

Open AccessArticle

Evaluation of Spatial and Temporal Distribution of Carbon Emissions in Power Grid Based on Cloud Theory

by Pingzheng Tong, Xue Cui, Junlin Li, Xuehan Dang and Qiang Yu

Sustainability 2024, 16(22), 9767; https://doi.org/10.3390/su16229767 (registering DOI) - 8 Nov 2024

Abstract

In order to clearly determine the carbon emission distribution of regions, lines or nodes in the power grid, this paper applies cloud theory to the evaluation of the distribution of carbon emissions in the power grid. Based on the theory of carbon emission [...] Read more.

In order to clearly determine the carbon emission distribution of regions, lines or nodes in the power grid, this paper applies cloud theory to the evaluation of the distribution of carbon emissions in the power grid. Based on the theory of carbon emission flow in the whole life cycle, five indicators that can reflect the spatial and temporal distribution of carbon emissions are constructed from the two dimensions of space and time. Cloud theory is used to establish the standard cloud of the carbon emission distribution level to quantify the randomness and fuzziness of the data to be evaluated. The bilateral constraint cloud theory and data-driven cloud transformation are combined to construct five comprehensive standard clouds of excellent, good, medium, poor and inferior, which are used as the evaluation interval of the evaluation index of carbon emission distribution. The reverse cloud is used to convert multiple sets of data into cloud droplets. Through the similarity measurement algorithm based on cloud model overlap, the comprehensive evaluation level of carbon emission distribution state in the time dimension is determined. Taking the IEEE 39 system as the research object, the spatial and temporal distribution of carbon emissions is evaluated, and the rationality and effectiveness of the proposed model are verified. Finally, the influence of the new energy penetration rate and power supply structure on the carbon emission distribution of the power grid is discussed by using cloud computing. Based on this, the targeted carbon reduction strategies for different types of nodes and the method of measuring the optimal new energy penetration rate are proposed and can provide a decision-making reference for optimizing the carbon emissions of the power grid. Full article

22 pages, 728 KiB

Open AccessReview

Sustainable Agricultural Practices in Sub-Saharan Africa: A Review of Adoption Trends, Impacts, and Challenges Among Smallholder Farmers

by Ally Sithole and Oluwasogo David Olorunfemi

Sustainability 2024, 16(22), 9766; https://doi.org/10.3390/su16229766 (registering DOI) - 8 Nov 2024

Abstract

Sustainable agricultural practices (SAPs) remain the panacea to addressing challenges relating to climate change, low rainfall, and low agricultural productivity in many rural parts of sub-Saharan Africa (SSA). These practices include but are not limited to crop rotation, intercropping, cover cropping, and conservation [...] Read more.

Sustainable agricultural practices (SAPs) remain the panacea to addressing challenges relating to climate change, low rainfall, and low agricultural productivity in many rural parts of sub-Saharan Africa (SSA). These practices include but are not limited to crop rotation, intercropping, cover cropping, and conservation tillage. The aforementioned practices have been scientifically proven to enhance crop productivity while safeguarding environmental resources. This review assesses the trends, effectiveness, and challenges associated with the adoption and utilization of SAPs among smallholder farmers in the SSA region, analyzing the literature and reports from 2000 to 2024 sourced from databases such as Google Scholar and Scopus. The inclusion criteria focused on key concepts such as SAPs, adoption, and challenges. Findings indicate that crop rotation, intercropping, improved seed varieties, manure, and mulching are among the most adopted practices. In reality, practices such as conservation tillage, agroforestry, and water harvesting systems remain the least adopted practices in many rural parts of SSA. The review further reveals that challenges relating to land tenure insecurity, lack of knowledge, training, and limited access to financial institutions all have a direct or indirect influence on farmers’ choice of adoption. Overcoming the aforementioned challenges through policy interventions and capacity building is vital for improved crop productivity and rural livelihoods. Full article

(This article belongs to the Special Issue Sustainability Assessment of Agricultural Cropping Systems)

19 pages, 433 KiB

Open AccessArticle

Outsourcing of Agricultural Machinery Operation Services and the Sustainability of Farmland Transfer Market: Promoting or Inhibiting?

by Yangxiao Lu and Suhao Wei

Sustainability 2024, 16(22), 9765; https://doi.org/10.3390/su16229765 (registering DOI) - 8 Nov 2024

Abstract

The agricultural machinery operation services (AMOS) market and the farmland transfer market are regarded by policymakers as complementary goals for promoting agricultural development in China. Nonetheless, the farmland transfer market in China is confronted with the threat of sustainable development. The relationship between [...] Read more.

The agricultural machinery operation services (AMOS) market and the farmland transfer market are regarded by policymakers as complementary goals for promoting agricultural development in China. Nonetheless, the farmland transfer market in China is confronted with the threat of sustainable development. The relationship between AMOS and farmland transfer is not always complementary. To analyze the relationship between the AMOS market and the sustainability of the farmland transfer market, methods such as conditional mixed process, the Heckman two-step method, and the Sobel test were employed to explore the influence of AMOS on farmland transfer and its underlying mechanisms. The empirical results show the following: (i) AMOS inhibits farmland transfer-out but promotes farmland transfer-in, which will intensify the market competition of farmland transfer. This result remains valid after correcting for the potential endogenous bias and selective bias and is consistent across different variables and samples. This conclusion suggests that AMOS has emerged as a factor restricting the sustainable development of the farmland transfer market in China. (ii) The heterogeneity analysis results indicate that AMOS has a greater inhibitory effect on the farmland transfer-out of small-scale farmers, part-time farmers, and elderly farmers, and a greater incentive effect on the farmland transfer-in of large-scale farmers, professional farmers, and non-elderly farmers. (ⅲ) Labor allocation and agricultural capital allocation are the potential mechanisms for AMOS to affect farmland transfer. AMOS indirectly inhibits farmland transfer-out and promotes farmland transfer-in by farmland operation ability of labor force and benefits of farmland operation. These results imply that there is a complementary relationship and substitution relationship between the AMOS market and the farmland transfer market. The substitution relationship may sometimes frustrate policies aimed at stimulating the farmland transfer market. The Chinese government is required to be wary of the potential menace that AMOS brings to the sustainability of China’s farmland transfer market. Full article

24 pages, 635 KiB

Open AccessReview

Electrochemical Methods for Nutrient Removal in Wastewater: A Review of Advanced Electrode Materials, Processes, and Applications

by Juwon Lee, Giorgio Antonini, Ahmed Al-Omari, Christopher Muller, Jithin Mathew, Katherine Bell, Joshua M. Pearce and Domenico Santoro

Sustainability 2024, 16(22), 9764; https://doi.org/10.3390/su16229764 (registering DOI) - 8 Nov 2024

Abstract

In response to the increasing global water demand and the pressing environmental challenges posed by climate change, the development of advanced wastewater treatment processes has become essential. This study introduces novel electrochemical technologies and examines the scalability of industrial-scale electrooxidation (EO) methods for [...] Read more.

In response to the increasing global water demand and the pressing environmental challenges posed by climate change, the development of advanced wastewater treatment processes has become essential. This study introduces novel electrochemical technologies and examines the scalability of industrial-scale electrooxidation (EO) methods for wastewater treatment, focusing on simplifying processes and reducing operational costs. Focusing on the effective removal of key nutrients, specifically nitrogen and phosphorus, from wastewater, this review highlights recent advancements in electrode materials and innovative designs, such as high-performance metal oxides and carbon-based electrodes, that enhance efficiency and sustainability. Additionally, a comprehensive discussion covers a range of electrochemical methods, including electrocoagulation and electrooxidation, each evaluated for their effectiveness in nutrient removal. Unlike previous studies, this review not only examines nutrient removal efficiency, but also assesses the industrial applicability of these technologies through case studies, demonstrating their potential in municipal and industrial wastewater contexts. By advancing durable and cost-effective electrode materials, this study emphasizes the potential of electrochemical wastewater treatment technologies to address global water quality issues and promote environmental sustainability. Future research directions are identified with a focus on overcoming current limitations, such as high operational costs and electrode degradation, and positioning electrochemical treatment as a promising solution for sustainable water resource management on a larger scale. Full article

25 pages, 720 KiB

Open AccessArticle

Digital Inclusive Finance, Rural Loan Availability, and Urban–Rural Income Gap: Evidence from China

by Jianwei Gao, Yuxin Wu and Haiwei Li

Sustainability 2024, 16(22), 9763; https://doi.org/10.3390/su16229763 (registering DOI) - 8 Nov 2024

Abstract

Reducing the urban–rural income gap stands as a pivotal factor in attaining sustainable economic development. Policymakers and researchers have focused on whether digital inclusive finance can narrow the urban–rural income gap. Utilizing provincial-level panel data from 31 regions in China, this paper empirically [...] Read more.

Reducing the urban–rural income gap stands as a pivotal factor in attaining sustainable economic development. Policymakers and researchers have focused on whether digital inclusive finance can narrow the urban–rural income gap. Utilizing provincial-level panel data from 31 regions in China, this paper empirically tests the impact of digital inclusive finance on the urban–rural income gap across different areas of China, specifically analyzing the mediation effect of rural loan availability. The findings indicate that (1) the expansion of digital inclusive finance can enhance the inclusiveness of financial services in rural areas and narrow the urban–rural income gap; (2) the effect of digital inclusive finance on the urban–rural income gap exhibits regional heterogeneity; (3) the rural loan availability has a mediation effect on the urban–rural income gap, but its growth will weaken the narrowing effect of digital inclusive finance on urban–rural income gap; and (4) the reduction in the urban–rural income gap attributable to digital inclusive finance exhibits a nonlinear relationship with the level of urbanization. This paper recommends guiding the digital transformation of rural financial institutions and enhancing farmers’ financial literacy to increase the availability of loans in rural areas. Furthermore, implementing region-specific policies and regulations could effectively narrow the urban–rural income gap. Full article

21 pages, 285 KiB

Open AccessArticle

Green Finance Mechanisms for Sustainable Development: Evidence from Panel Data

by Licong Xing, Bisharat Hussain Chang and Salem Hamad Aldawsari

Sustainability 2024, 16(22), 9762; https://doi.org/10.3390/su16229762 (registering DOI) - 8 Nov 2024

Abstract

The nexus between environmental degradation, green finance, and sustainable development has been analyzed in a number of studies. Despite attempts by different studies to fill the gap in the existing literature, they have all failed to do so. This study further extends the [...] Read more.

The nexus between environmental degradation, green finance, and sustainable development has been analyzed in a number of studies. Despite attempts by different studies to fill the gap in the existing literature, they have all failed to do so. This study further extends the existing literature by applying robust techniques such as the system-GMM method and applying various proxies to measure green finance, which other studies have failed to examine. For this purpose, we employ panel data for the period of 1985–2021. Our findings support our hypothesis: while green funding tends to have a positive effect on sustainable development, environmental degradation has exactly the opposite effect. These findings are supported by a wide range of statistical methods, including the system-GMM technique. Our work underlines the major contribution bound to be made by green resources toward legislative frameworks in an attempt to aid the effort of reducing the negative impact of environmental degradation and building a sustainable development path. Full article

17 pages, 3088 KiB

Open AccessArticle

Digital Government Transformation and Sustainable Development Goals: To What Extent Are They Interconnected? Bibliometric Analysis Results

by Anna Sanina, Evgeny Styrin, Eran Vigoda-Gadot, Maria Yudina and Anna Semenova

Sustainability 2024, 16(22), 9761; https://doi.org/10.3390/su16229761 (registering DOI) - 8 Nov 2024

Abstract

The increasing prevalence of digital technologies has sparked interest in the relationship between digital transformation and sustainable development, leading to a surge in theoretical and practical research on this topic. This study conducts a bibliometric analysis of publications in the Web of Science [...] Read more.

The increasing prevalence of digital technologies has sparked interest in the relationship between digital transformation and sustainable development, leading to a surge in theoretical and practical research on this topic. This study conducts a bibliometric analysis of publications in the Web of Science database to examine the extent to which sustainable development goals are integrated into digital government transformation discourses. Using statistical properties of the citation network and the main path approach to identify key publication clusters, the analysis reveals limited research explicitly focusing on the link between digital government transformation and sustainable development goals. Furthermore, articles exploring this interconnection are notably scarce in public administration journals, indicating a significant gap in the literature that requires further investigation. Full article

(This article belongs to the Section Sustainable Management)

► Show Figures

Figure 1

30 pages, 1123 KiB

Open AccessArticle

A Matching Policy to Address ESG and Non-ESG Risks Impacted by a Relocation Policy in China’s Chemical Industry

by Xudong Ren, Khanh Linh Dong, Jackson Ewing, Jie Zheng and Lei Shi

Sustainability 2024, 16(22), 9760; https://doi.org/10.3390/su16229760 (registering DOI) - 8 Nov 2024

Abstract

China’s chemical industry has faced severe environmental, social, and governance (ESG) issues, such as high safety and environmental accidents and risks. To address these issues and promote industrial upgrading, China’s central government has issued a national relocation and improvement policy targeting its chemical [...] Read more.

China’s chemical industry has faced severe environmental, social, and governance (ESG) issues, such as high safety and environmental accidents and risks. To address these issues and promote industrial upgrading, China’s central government has issued a national relocation and improvement policy targeting its chemical industry. However, its countrywide policy implementation may also lead to other ESG risks during the relocation of chemical enterprises, namely industrial transfer. The typical ESG risks that appear to occur in developed eastern region provinces include a one-size-fits-all solution and unemployment, while less developed central and western region provinces may encounter pollution transfer, carbon leakage, environmental injustice, and health disparities. These ESG risks might overlap with other economic and financial (non-ESG) risks, like stranded assets, industry hollowing-out, and debt sustainability issue. These ESG and non-ESG risks could result from potential mismatches between chemical enterprises and chemical parks, categorized as mismatching errors explained by social-ecological systems, behavioral economics, and information economics. To better manage these risks, we propose an ESG matching policy comprising a national standardized ESG scoring and ranking system, a deferred acceptance mechanism, and a score announcement instrument. Such a policy innovation aims at achieving fair and efficient chemical enterprise–chemical park pairs, which would help manage both ESG and non-ESG risks and provide a just transition toolkit for China and other developing countries. Full article

(This article belongs to the Section Economic and Business Aspects of Sustainability)

► Show Figures

Figure 1

15 pages, 3225 KiB

Open AccessArticle

Application of the Life Cycle Assessment (LCA) Method in Assessing the Environmental Impact of New Materials Derived from Waste Polymers in Terms of Sustainability

by Wioletta M. Bajdur, Maria Włodarczyk-Makuła and Agata Krukowska-Miler

Sustainability 2024, 16(22), 9759; https://doi.org/10.3390/su16229759 (registering DOI) - 8 Nov 2024

Abstract

Sustainable socioeconomic development should provide humans with a suitable environment for safe living. It can be debated whether the term “environment” should be used due to the significant anthropogenic transformation of the environment. Therefore, an essential part of solving environmental problems is innovation. [...] Read more.

Sustainable socioeconomic development should provide humans with a suitable environment for safe living. It can be debated whether the term “environment” should be used due to the significant anthropogenic transformation of the environment. Therefore, an essential part of solving environmental problems is innovation. Climate, resource conservation, and environmental protection are recognized worldwide as common challenges. Thus, it is necessary to implement solutions that simultaneously protect the environment and the climate with sustainable and rational use of resources. Related to this issue is the principle of a loop/closed-loop economy. Among other things, it refers to using waste to prepare materials that can be used for other purposes. The use of tools such as LCA (life cycle analysis) contributes to supporting environmental protection. With the LCA method, it is possible to analyze environmental risks and compare new technological alternatives. LCA is a methodology that has been used around the world with great success, especially for studying individual stages of the entire product life cycle. The results of studies that have been conducted in various research centers confirm the possibility of also using the LCA technique for the environmental assessment of new technologies or existing modernized technological processes. The purpose of this study was to assess the feasibility of using the LCA method to determine the environmental impact that the potential production and use of new materials will have. Full article

(This article belongs to the Special Issue Green Deal Strategies towards Sustainability of Water, Raw Materials and Energy)

► Show Figures

Figure 1

15 pages, 646 KiB

Open AccessArticle

Antecedent and Consequence of Innovation Output: Evidence from Thailand

by Muttanachai Suttipun and Krittiga Insee

Sustainability 2024, 16(22), 9758; https://doi.org/10.3390/su16229758 (registering DOI) - 8 Nov 2024

Abstract

The study aims to examine the impact of research and development (R&D) investment (the antecedent) on competitive advantage (the consequence) for the innovation output of private firms in Thailand. The population of this study includes all private Thai firms which have registered with [...] Read more.

The study aims to examine the impact of research and development (R&D) investment (the antecedent) on competitive advantage (the consequence) for the innovation output of private firms in Thailand. The population of this study includes all private Thai firms which have registered with the Office of National Higher Education Science Research and Innovation Policy Council. Path analysis and factor confirmation, including correlation matrix, are used to test the mediator effect of innovation output on the relationship between R&D investment and firm performance competitive advantage. The research data are tested and analyzed by the structure equation model. The results reveal that R&D investment was not found to directly influence competitive advantage, while R&D investment indirectly affects competitive advantage through innovation output. The findings of this study demonstrate that innovative output plays a mediating role between R&D investment and competitive advantage. In addition, dynamic capability theory can be used to explain the influences of R&D investment and innovation output on competitive advantage for private firms in Thailand. Full article

► Show Figures

Figure 1

18 pages, 985 KiB

Open AccessArticle

The Impact of Green Supply Chain Management on Green Innovation, Environmental Performance, and Competitive Advantage

by Emel Gelmez, Eren Özceylan and Beata Mrugalska

Sustainability 2024, 16(22), 9757; https://doi.org/10.3390/su16229757 (registering DOI) - 8 Nov 2024

Abstract

Environmental issues are increasing in importance for businesses day by day. Businesses are undergoing an environmentally focused transformation in all their activities within the value chain. Therefore, the necessity of integrating and maintaining the concept of “green” in all processes such as production, [...] Read more.

Environmental issues are increasing in importance for businesses day by day. Businesses are undergoing an environmentally focused transformation in all their activities within the value chain. Therefore, the necessity of integrating and maintaining the concept of “green” in all processes such as production, technology development, marketing, and supply chains has emerged. Topics such as environmentally sensitive production systems, green supply, and green innovation (GI) are both accepted in practice in various sectors and are examined in the literature. When the impact of green practices on the performance items of businesses is taken into consideration, it is important to examine the issue from this perspective. In this context, the aim of this study is to examine the impact of green supply chain management (GSCM) practices on GI, environmental performance (EP), and competitive advantage (CA). Within the framework of this aim, a survey was conducted on 283 businesses producing plastic, packaging, and textile products in Gaziantep (169) and Konya (114) provinces in Türkiye. In this study, where the quantitative research method was adopted, the hypotheses established were tested by using structural equation modeling (SEM). SPSS 22.0 package program and AMOS 22.0 program were used in the analysis. Within the scope of the analysis, the measurement model (confirmatory factor analysis) was first tested. As a result of the analysis, GSCM practices have a positive impact on GI and CA; GSCM has a positive impact on EP; GI has a positive impact on CA; and EP has not a positive impact on CA. This study is significant as it examines the combined impact of GSCM, GI, EP, and CA. Also, this study is important as it is the first study to examine the impact of GSCM practices on GI, EP, and CA in Türkiye. Full article

(This article belongs to the Section Sustainable Products and Services)

► Show Figures

Figure 1

33 pages, 9390 KiB

Open AccessArticle

Seasonality and Predictability of Hydrometeorological and Water Chemistry Indicators in Three Coastal Forested Watersheds

by Andrzej Wałęga, Devendra M. Amatya, Carl Trettin, Timothy Callahan, Dariusz Młyński and Vijay Vulava

Sustainability 2024, 16(22), 9756; https://doi.org/10.3390/su16229756 (registering DOI) - 8 Nov 2024

Abstract

Forests are recognized for sustaining good water chemistry within landscapes. This study focuses on the water chemistry parameters and their hydrological predictability and seasonality (as a component of predictability) in watersheds of varying scales, with and without human (forest management) activities on them, [...] Read more.

Forests are recognized for sustaining good water chemistry within landscapes. This study focuses on the water chemistry parameters and their hydrological predictability and seasonality (as a component of predictability) in watersheds of varying scales, with and without human (forest management) activities on them, using Colwell indicators for data collected during 2011–2019. The research was conducted in three forested watersheds located at the US Forest Service Santee Experimental Forest in South Carolina USA. The analysis revealed statistically significant (α = 0.05) differences between seasons for stream flow, water table elevation (WTE), and all water chemistry indicators in the examined watersheds for the post-Hurricane Joaquin period (2015–2019), compared to the 2011–2014 period. WTE and flow were identified as having the greatest influence on nitrogen concentrations. During extreme precipitations events, such as hurricanes or tropical storms, increases in WTE and flow led to a decrease in the concentrations of total dissolved nitrogen (TDN), NH₄-N, and NO₃-N+NO₂-N, likely due to dilution. Colwell indicators demonstrated higher predictability (P) for most hydrologic and water chemistry indicators in the 2011–2014 period compared to 2015–2019, indicating an increase in the seasonality component compared to constancy (C), with a larger decrease in C/P for 2015–2019 compared to 2011–2014. The analysis further highlighted the influence of extreme hydrometeorological events on the changing predictability of hydrology and water chemistry indicators in forested streams. The results demonstrate the influence of hurricanes on hydrological behavior in forested watersheds and, thus, the seasonality and predictability of water chemistry variables within and emanating out of the watershed, potentially influencing the downstream ecosystem. The findings of this study can inform forest watershed management in response to natural or anthropogenic disturbances. Full article

(This article belongs to the Section Sustainable Water Management)

► Show Figures

Figure 1

13 pages, 254 KiB

Open AccessArticle

The Role of Employee Competencies in the Sustainable Development and Energy Efficiency of Agile Organizations

by Maria Kocot, Artur Kwasek, Magdalena Maciaszczyk, Małgorzata Golińska-Pieszyńska, Igor Protasowicki, Krzysztof Kandefer and Janusz Soboń

Sustainability 2024, 16(22), 9755; https://doi.org/10.3390/su16229755 - 8 Nov 2024

Abstract

The aim of this study was to examine how the development of employee competencies affects the efficiency of green energy utilization in organizations and how these activities support the sustainable development of enterprises. This research focused on identifying the specific agile competencies that [...] Read more.

The aim of this study was to examine how the development of employee competencies affects the efficiency of green energy utilization in organizations and how these activities support the sustainable development of enterprises. This research focused on identifying the specific agile competencies that have the greatest impact on energy efficiency and on integrating these competencies with sustainable development goals. Quantitative and qualitative analyses were conducted based on data collected through online surveys among employees of companies using green energy. The research results indicate a significant relationship between the level of agility in employee competencies and the energy efficiency in enterprises. Most companies achieve better results through the application of agile practices. This study’s findings confirm that investments in the development of agile employee competencies and the integration of renewable energy sources can significantly contribute to improving energy efficiency and increasing the competitiveness and innovation of organizations. Moreover, the need for further research on methods for assessing and implementing agile practices in various operational settings, with a focus on sustainability aspects, was emphasized. Full article

Journal Description

Sustainability

Latest Articles

Journal Menu

Journal Browser

Highly Accessed Articles

Latest Books

E-Mail Alert

News

Topics

Conferences

Special Issues

Topical Collections

Further Information

Guidelines

MDPI Initiatives

Follow MDPI