Next Article in Journal
What Color Does the Consumer See? Perceived Color Differences in Plastic Products in an LED-Lit Environment
Previous Article in Journal
Carbon Footprints and Consumer Lifestyles: An Analysis of Lifestyle Factors and Gap Analysis by Consumer Segment in Japan
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Experience, Dilemma, and Solutions of Sustainable Development of Inclusive Finance in Rural China: Based on the Perspective of Synergy

1
School of Economics and Management, Tongji University, Shanghai 200092, China
2
College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(21), 5984; https://doi.org/10.3390/su11215984
Submission received: 3 October 2019 / Revised: 20 October 2019 / Accepted: 25 October 2019 / Published: 28 October 2019

Abstract

:
Inclusive finance is an important development direction in the future of finance. The development of inclusive finance in China’s rural areas has provided valuable experience as well as exposing the various limitations of sustainable development. One of the key reasons for such limitations is the existence of cooperative resistance from multiple parties in the finance system. In this study, relevant data from the World Bank Inclusive Finance Database 2011–2017 and the CBRC Website were selected to analyze the current development level of inclusive finance in China in order to perform longitudinal time and horizontal international comparisons. The article summarizes the Chinese experience with inclusive finance and points out the dilemma of sustainable development. Then, based on the new perspective of synergy, the article breaks down financial institutions by type and provides an analysis of the cooperative resistance among the three major parties considering their behavioral motivations. Finally, we put forward the corresponding countermeasures to the dilemma of the sustainable development of inclusive finance in rural China by numerical simulations.

1. Introduction

After more than 30 years of rapid development since reform and opening-up, China’s financial market is at a low ebb under the macro background of the economy being hampered by trade wars and other factors. Inclusive finance, as a new financial concept, was first explicitly proposed by the United Nations in 2005 as a financial system that effectively and comprehensively serves all groups and sectors of society, especially the poor and low-income populations. Inclusive finance plays an important role in regional and individual income growth and national industrial upgrading [1], solves the problem of financing difficulties for small- and medium-sized enterprises, helps to reduce poverty rates and social inequality [2], and also vigorously drives financial markets out of a downturn. In order to deepen inclusive financial reform, governments actively support it at the policy level. In 2013, the Third Plenary Session of the 18th Central Committee of the Communist Party of China included inclusive finance in the Party’s resolution for the first time. In 2015, the Government Work Report further proposed to vigorously develop inclusive finance. In early 2016, the State Council issued the paper “On Promoting Inclusive Financial Development Planning (2016–2020)”, which promotes inclusive finance as part of the national strategy. The abovementioned policy support indicates the growing importance that China attaches to inclusive finance.
Inclusive financial services are aimed at all sectors of society with financial needs. Since agriculture plays a considerable role China’s national economy, the 2018 Central Document No. 1 states that inclusive finance should focus on rural areas. Rural inclusive finance refers to economic activities that provide financial products and services to everyone at affordable costs based on the principles of equal opportunity and business sustainability. The necessity of developing rural inclusive finance lies in the fact that it is an inevitable requirement for China to build a well-off society in a comprehensive manner, which is conducive to promoting the sustainable and balanced development of the financial industry, promoting public entrepreneurship and innovation, and also promoting social equity and harmony. Developing rural inclusive finance is feasible because the penetration of financial products and services in rural China is low and the scale and structure of consumption lags behind other areas, which indicates that there is broad space for development.
Rural inclusive finance in China has made great progress. Inclusive finance plays a positive role in alleviating financial poverty [3], promoting urban and rural integration [4], and increasing farmers’ income [5]. However, there have also been some obstacles, such as the lack of innovation in the rural financial system [6], regional development imbalance, imperfect top-level design, lack of financial institutions, lack of targeted financial products and services, lack of financial knowledge, low penetration rate, the serious financial exclusion phenomenon, and the fragile financial ecological environment. These obstacles have led to the slow development of rural inclusive finance [7]. Scholars have tried to provide solutions for sustainable development from the perspectives of national policy [8], financial institutions [9], the financial supply mode [10], the education level of users [11], the behavior preferences of users [12], and so on; however, progress has been limited. This paper argues that the root of such problems lies in the lack of coordination and cooperation among the internal elements. The development of inclusive finance involves the cooperation of multiple sectors and subjects. Especially because of the distinct nature of rural customer groups and the policy orientation of financial products, inclusive finance has a more complex coordination problem than traditional finance. Therefore, based on the new perspective of synergy theory, this paper puts forward the corresponding coordinated countermeasures by segmenting the types of financial institutions and analyzing the cooperative resistance among the subjects in the system.
The contributions of this paper are as follows. Theoretically, this paper innovatively expands the application scenario of synergy theory to research on rural inclusive finance. A systematic consideration of the interaction between the subjects contributes to the sustainable development of rural inclusive finance. Practically, one contribution is the summary of the experience of China’s rural inclusive financial development, which can provide support to other countries that are developing rural inclusive finance. The second contribution is that this work provides a new research perspective for researchers in this field, that is, studying the operation mode and cooperation of the subjects in the system, as well as classifying the financial institutions according to the national political financing tasks and considering the differences in motivation caused by the heterogeneity of financial institutions. The third contribution is that this paper provides guidance for government departments and financial institutions, which is also helpful for rural users to understand and support inclusive finance. The remainder of the paper is organized as follows: Section 2 provides a theoretical review. Section 3 summarizes the experience of China and describes the current dilemma through vertical and horizontal comparisons. Section 4 analyzes the cooperative resistance among the subjects from the perspective of synergy theory. Solutions to reduce cooperative resistance are proposed in Section 5, and Section 6 discusses the limitations of the article and the plan of further research.

2. Literature Review

Rural inclusive finance is the continuation and deepening of rural finance. Rural financial theory includes the theories of agricultural credit subsidy, rural financial markets, and incomplete competition [13,14,15]. The theory of agricultural credit subsidy is based on the peculiarity of the agriculture industry, which assumes that rural residents have no ability to save, so government agencies are encouraged to inject low-interest-rate funds into rural areas. However, funds from the government not only make rural finance lose its internal vitality, but it also becomes a financial burden. Thus, it is an unsustainable financial mechanism. Actually, rural residents have the desire and ability to save. The theory of rural financial markets emphasizes the importance of the market mechanism, holding that we should tap the endogenous power of rural finance, so as to activate the rural financial market. However, in the case of full marketization, the high cost of financial services and the requirement of collateral will greatly limit the full access of small holders and poor farmers to financial services. The government still needs to intervene to satisfy the financial needs of this group. The theory of incomplete competition was proposed in order to remedy market failure and to find a balance between government intervention and market liberalization to cultivate an efficient financial market. After the development of microcredit and microfinance, inclusive finance has been formally put forward on the basis of the above-discussed theory and practice.
Since then, the academic community has mainly studied inclusive finance from three aspects. First, there is the concept and measurement of inclusive finance. Globally, there are two main evaluation systems for assessing the development level of inclusive finance. One is the evaluation index designed by the International Monetary Fund (IMF) from the dimension of formal finance accessibility and utilization. The other is the global inclusive finance core index developed by the World Bank [16]. Researchers have also measured the level of inclusive financial development [17,18,19] from different dimensions. Second, there are the antecedent variables of inclusive finance, that is, the factors that affect its development and implementation. Research on the antecedent variables is mainly from the perspectives of the main characteristics of financial demand [20,21], the characteristics of financial service supply [22,23,24], and the social environment [25]. Third, there are the consequence variables of inclusive finance, that is, what will be affected and what kind of impact will be produced. Research on inclusive financial consequence variables includes promoting economic growth [26], improving the efficiency of financial intermediation [27], remedying the financial exclusion of some groups, and so on [28].
However, most studies on the antecedent variables of inclusive finance are based on a certain subject dimension or research situation in the financial system, and few studies have focused on the interaction among various elements of the system. In order to build a complete and systematic rural inclusive financial system, it is necessary to change the current state of “fragmentation” and enhance overall effectiveness through “cooperation” among multiple factors. The synergy elements of rural inclusive financial system include three main subjects: government, financial institutions, and users. According to synergy theory, the collaborative behavior of the three subjects determines the efficiency and effectiveness of the system. The operation of financial institutions has always been the focus of such research, while research on other subjects is relatively scarce. Thus, exploration of the “synergy mechanism” is obviously insufficient, which is precisely the biggest obstacle in the process of making finance more inclusive in rural China. It directly affects the cultivation of the driving force to develop inclusive finance in rural areas. This paper holds that cooperation among subjects is conducive to the development of inclusive finance in rural areas.

3. Experience and Dilemma

Inclusive finance in rural China has made impressive progress in recent years. In order to have a clearer understanding at the global level, we made a horizontal international comparative analysis among China and four control groups. The control groups were selected based on a paper called “Inclusive Finance in China from a Global Perspective: Practice, Experience and Challenges” issued by the People’s Bank of China. The four control groups are G-20 high-income countries (G-20 HIC), G-20 middle-income countries (G-20 MIC), large middle-income countries in East Asia and the Pacific (EAP L-MIC), and other large middle-income countries (Other L-MIC). The basic information of the control groups is shown in Table 1.

3.1. Experience of China

The most prominent achievement of China’s practice lies in the high availability of financial services, which is the core element and driving force, including the full coverage of physical service outlets and the high opening rate of trading accounts. Like other countries, China’s traditional financial service providers used to be limited and geographically uneven. The experience of China can be summarized in three points: First, importance was attached to the construction and development of rural credit cooperatives. Second, an agency service network was established. Third, characteristic bank branches were set up.

3.1.1. Attention to the Reform of Rural Credit Cooperatives

Rural credit cooperatives in China are not only the most widely distributed financial service providers in rural areas but also the key institutions for achieving the goal of inclusive finance. The Chinese government attaches significance to rural credit cooperatives by active policy support and continuous reforms. In 2003, the government deepened the reform of rural credit cooperatives and created two new organizational forms—rural commercial banks and rural cooperative banks—which were transformed into commercially sustainable business models. Since then, rural credit cooperatives have entered their fastest growth period in history. In 2016, the national rural credit cooperatives system achieved a net income of CN¥51.9 billion, a nonperforming loan ratio of 7.3%, a capital adequacy ratio of 8.4%, and agricultural loan balances of CN¥2.7 trillion, as shown in Table 2.

3.1.2. Agency Service Network

Physical availability is a key element of inclusive finance, which mainly includes the dimensions of branches, ATMs, and agencies. As shown in Figure 1, the physical availability of China’s financial sector is even higher than the median level of the G-20 high-income countries, mainly due to China’s extensive network of agencies, which is well above the median level of the other control groups. By the end of 2018, there were 865,000 agricultural withdrawal service points nationwide, with a coverage of 98.2% in villages.

3.1.3. Establishment of Characteristic Branches of Commercial Banks

The establishment of characteristic branches makes commercial banks more geographically dispersed and provides professional and convenient financial services to communities as well as small- and micro-sized enterprises. Community branches and small- and micro-sized branches are two types of characteristic branches.
By the end of January 2018, national joint-stock banks had set up 5153 community branches and small- and micro-sized branches. Characteristic branches generally avoid being located in areas where financial services are highly concentrated, such as urban centers, but actively extend to counties, towns, and villages. For example, in Zhejiang Province in south China, about 48% of the established branches are located in townships and 22% in rural areas. The establishment of characteristic branches has effectively shortened the distance to customers, and some urban commercial banks have further expanded the grassroots market by setting up outlets in urban fringe areas and urban villages.

3.2. Dilemma of Inclusive Finance in Rural China

In order to adequately solve the problem, it is necessary to understand the present situation. As mentioned above, the global inclusive finance core index includes four dimensions: the general development level, obstacles, loan sources, and motivation of savings. The general development level of inclusive finance was selected for this article. The details include the accounts possession rate in formal financial institutions, whether deposits have been made or not in formal financial institutions during the past 12 months, and whether loans were obtained or not from formal financial institutions during the past 12 months, which are referred to below as the formal accounts rate, the formal savings rate, and the formal credit rate, respectively. Using data from the World Bank Global Inclusive Finance Database, we implemented longitudinal and horizontal analyses of inclusive financial development in rural China.
The results of the longitudinal analysis are shown in Figure 2. During the period from 2011 to 2017, the formal accounts rate was on an upward trend, from 0.580 to 0.777. The formal credit rate increased annually, from 0.069 to 0.089. However, the formal savings rate rose first but then fell, reflecting a decline in the willingness to save.
The results of the horizontal comparison are shown in Table 3. The formal accounts rate and the formal savings rate show that China is slightly lower than the G20 high-income countries but significantly higher than other control groups. It fully demonstrates that saving in formal financial institutions is still preferred for rural residents in China, which is consistent with the structure of rural financial markets dominated by the Chinese banking system. The data show that only 8.9% of respondents have borrowed from formal financial institutions in the past year, which is lower than other control groups. Comparing the formal savings rate, it is obvious that the pumping effect is still significant in the rural financial system of China.

4. Subjects and Cooperative Resistance

The collaborative mechanism of inclusive finance in China’s rural areas needs to be established, maintained, and dynamically optimized promptly. From the perspective of subject motivation, it is necessary to sort out the cooperative resistance between subjects, paying attention to and grasping the difficulties accurately and dynamically as well as determining the key points, so as to promote effective collaboration among the subjects.

4.1. Three Subjects

4.1.1. Government

As one of the two driving wheels of economic development [29], the government guides and regulates the construction of inclusive finance in rural areas. There are two main views on the role of government in inclusive financial development. First, Solo [30] took Mexico, Sri Lanka, Brazil, the United States, and Bolivia as examples and found the positive role of government in developing inclusive finance. Second, Devarajan et al. [31] claim that the actions of the government may be ineffective or even reduce social welfare [32]. This paper holds that the “visible hand” of the government has the ability to create an excellent financial ecology, provide convenient investment and financing policies and systems, build a platform for agriculture-related subjects and capital suppliers, and mobilize various elements and resources of the financial market. However, if the government intervenes too much, there will be “government failure” [33]. The government intervention index model of Tanz shows that, in a certain range, government intervention can improve net income, but beyond a certain range, government intervention will bring adverse effects. Therefore, it is important to moderate government intervention and find the best degree of intervention.

4.1.2. Financial Institutions

Financial institutions are the main providers of inclusive financial services in rural areas. According to the different intensities of undertaking the task of national political financing, financial institutions can be divided into four types, from strong to weak: policy oriented, developmental, cooperative, and commercial. Policy-oriented and developmental financial institutions are the embodiment of the will of the government, as opposed to taking profit maximization as their business objective. Cooperative financial institutions, such as rural credit cooperatives, are the “main force” in the rural financial market, the basic economic characteristics of which are voluntary, mutual aid, democratic management, and nonprofit. However, due to the special political background, under the management of local governments and the inertia of dependence on national “aid expectations”, there is a tendency for “de-agricultural variation” [34]. Because of the high financial risk and low rate of return in rural areas, commercial financial institutions often hold a negative attitude towards the development of inclusive finance for the purpose of maximizing their own interests, resulting in “market failure”. Presently, China has formed the structure of rural financial markets, including agricultural development banks, agricultural banks of China, rural credit cooperatives, rural cooperative banks, rural commercial banks, postal savings banks, village banks, loan companies, and rural mutual cooperatives.

4.1.3. Users

Users in rural areas are the demanders of inclusive finance, including farmers and small- and micro-sized enterprises. Users in rural areas are considered to have the following characteristics. Firstly, their activities to produce and consume are affected by scale and seasonality, resulting in an unstable consumption level of financial products. Secondly, they lack knowledge of finance, including the nature, functions, policies, and products of finance. Thirdly, due to the lack of information, knowledge, and entrepreneurial innovation ability, rural users’ financial literacy is low [35]; thus, they lack the enthusiasm to participate in the financial market with fully rational financial behavior. However, with the development of China’s rural industry and the adjustment of the industrial structure, new business entities have emerged, such as large farmers, family farms, farmers, and rural tourism owners. Since farmers are changing into new professional farmers, it is necessary to consider the new changes in the characteristics of these users and their needs in the study of inclusive finance.

4.2. Cooperative Resistance

4.2.1. Government and Financial Institutions: Conflict of Objectives

The biggest cooperative resistance between government and financial institutions lies in the imbalance between social and business goals, since their different motivational orientations are determined by their social nature. Under the condition of China’s socialist market economy, the government mainly has four economic functions: regulating the economy, providing public services, supervising the market, and managing society. From the perspective of behavior objectives, the government generally serves the public. Therefore, from the perspective of coordinating urban and rural development and narrowing the gap between the rich and the poor, the government places more emphasis on the benefit of inclusive finance to rural users. According to the above classification of different types of financial institutions, we analyzed the cooperative resistance between the government and different types of financial institutions.
Policy-based and development-oriented financial institutions are basically the embodiment of the will of the government, and there is little or even no resistance between them. Cooperative financial institutions are mainly joint-stock cooperative local financial institutions composed of economic individuals and legal persons with their shares. They mainly serve the economic development of rural farmers in the region, in line with the will of the government for social responsibility. Despite being actively supported by national policies, their development is limited for the following reasons: the layout of the network is not standardized, the personnel equipment is not perfect, the operation has been in a state of overload for a long time, the financial strength is lacking, and the performance of the service of “agriculture, rural areas, and farmers” is powerless.
The biggest source of cooperative resistance between the government and financial institutions is the resistance between the government and commercial financial institutions. The source of resistance can be analyzed from the risk-and-profit nature of commercial financial institutions. From the perspective of risk, financial institutions face three kinds of risks—market risk, credit risk, and operational risk—of which the first two are more critical. Market risk is due to the fact that the economy in rural areas is generally scattered, the degree of industrialization is low, and agricultural production is greatly affected by the weather and other uncertain factors, so it faces greater natural risks. Credit risk is due to the imperfect rural credit system and the lack of available collateral for rural users. When there is a natural disaster or a depression in the agricultural market, financial institutions face greater systematic risks. From the perspective of income, the income of financial institutions to develop inclusive finance in rural areas is low. On the one hand, the higher transaction frequency leads to higher transaction costs, which depends on the characteristics of farmers’ demands for funds: the scale of capital demand is small, and it has certain seasonal and emergency demands. On the other hand, the inconvenient transportation and weak infrastructure in rural areas lead to high costs for financial institutions to provide inclusive services in rural areas.
To sum up, inclusive finance in rural areas has high risk and low income, and commercial financial institutions are unwilling to develop inclusive finance because of their profit-making goal. However, the function and nature of the government forces it to attach importance to rural inclusive finance. Therefore, the social goal of the government is in conflict with the commercial goal of commercial financial institutions. The trade-off between the two goals has become the biggest source of resistance to coordination between government and financial institutions.

4.2.2. Financial Institutions and Users: Imbalance Between Supply and Demand

The cooperative resistance between financial institutions and users lies in the imbalance between supply and demand. There are almost 3000 financial institutions in China, but most of them are not willing to carry out financial services in rural areas, resulting in insufficient supply of rural financial resources. Here, we specifically analyzed the quantity and quality of the supply of financial institutions.
From the perspective of supply quantity, the current rural financial supply is weak [36], which is reflected in two aspects: (1) Service layout deviates from the countryside. By the end of 2017, there were nearly 700 townships without financial institutions, and even the most basic financial needs of some farmers had not been met. (2) Service objects deviate from farmers. In practice, financial institutions highlight service to large agricultural households and leading enterprises in industrialization. By the end of 2016, the service coverage rates of the Agricultural Bank of China to state-level and provincial agricultural leading enterprises had reached 82% and 61%, respectively. Farmers are supposed to be the main body of inclusive financial users, but they have not received extensive and preferential financial services. From the perspective of supply quality, the current types of financial products are unable to meet the diversified needs of users. Credit products often have the characteristics of “standardization” and “one size fits all”. Due to the various examination and approval procedures and long approval cycle, credit funds are often unable to solve the urgent needs of farmers.
There are many reasons for the imbalance between supply and demand, among which the information asymmetry between lenders and borrowers is an important factor [37]. At present, there are the following problems in the rural credit system. First, the collection of farmers’ credit information encounters a bottleneck, which hinders the acquisition of financial services. Second, the sustainability of the construction of farmers’ credit file system is insufficient, which limits financial coverage. Third, the credit information evaluation system lacks overall planning and unified standards, which affects the quality of financial services. Fourth, farmers’ credit information system lacks relevant systems and regulations.

4.2.3. Government and Users: Difficulties in Power Transformation

The cooperative resistance between the government and users lies in the difficultly of transforming external power into endogenous power. The government encourages financial institutions to provide a wide range of preferential inclusive financial services to users in rural areas, which is an exogenous driving force and is beneficial but not sustainable. The sustainable development of rural inclusive finance needs to rely on endogenous power, which comes from users and is spontaneous and sustainable. At present, the construction of inclusive finance depends more on the external support of the government, while the participation of users is not enough. The reasons that hinder users from using inclusive financial services are not only the objective imbalance between supply and demand but also the exclusion of users themselves. Lack of financial knowledge, lack of credit data, lack of collateral, low income level, and traditional rural customs are all obstacles to participation for users.
In rural areas, informal finance is still the main channel of financing for farmers. As can be seen from Figure 3, 45% of adults in rural China have borrowed money in the past year, of which 20% have borrowed from financial institutions or used credit cards in the form of formal borrowing, compared with 48% in G-20 high-income countries, and 31% of respondents opted for informal finance, such as borrowing from family or friends, which is far higher than the 16% in the G20 high-income countries. This shows that in China’s rural areas, private lending is an important source of funds for the rural economy [38]. On the one hand, the traditional “relationship” culture has led to the formation of this phenomenon. On the other hand, it reflects the great resistance between rural users and formal finance. This resistance may come from the high threshold of financial institutions, or it may be a lack of motivation for users to understand formal finance.

5. Solutions

5.1. Government and Financial Institutions

The key to reducing the cooperative resistance between the government and financial institutions is to motivate the willingness of financial institutions. According to the previous analysis, financial institutions are reluctant to develop inclusive finance because of the high risks and low returns. Therefore, cooperative resistance can be reduced by policy support from the government as well as the reduction of costs and risks by financial institutions.

5.1.1. Measures for the Government to Motivate Financial Institutions

The government can macro-legislatively protect the rights and interests of financial institutions and the prospect of sustainable development, specifically by considering the following four aspects. Firstly, implement the guiding role of the inclusive finance concept and build a comprehensive and systematic legal guarantee system for the development of inclusive finance in rural areas. Build a legal framework system with “The Promotion of Rural Financial Development Law” as the head and rural commercial financial law, rural policy financial law, rural cooperative financial law, and folk financial law as the branches. Further, construct the basic system considering the three dimensions of the control of inclusive finance development in rural areas, the protection of the financial rights of vulnerable groups in rural areas, and the guarantee of system implementation [39]. Secondly, carefully analyze the costs and benefits of taxes on inclusive finance and formulate preferential tax policies based on the actual situation to stimulate the development of the inclusive finance business of financial institutions. For example, the interest income of small loans can be exempted from VAT, the loan reserve for agriculture-related and small- and medium-sized enterprises can be deducted before tax for enterprise income tax, and the loan contracts signed by financial institutions and small- and micro-sized enterprises can be exempted from stamp duty [40]. Thirdly, provide appropriate fiscal subsidies, but be aware of the nonindependence of financial institutions due to excessive subsidies. Fourthly, strengthen infrastructure construction. For example, strengthen the construction of transportation facilities to reduce high transaction costs. Strengthen the construction of communication facilities to reduce information asymmetry and provide a path for sustainable development.

5.1.2. Measures for Financial Institutions to Increase Motivation

The development of inclusive finance by financial institutions can be carried out from the perspective of reducing costs and risks. With the advent of the era of big data, the importance of digital inclusive finance is becoming increasingly prominent. The development of digital inclusive finance, which is the way to make inclusive finance sustainable, has become the consensus of all countries worldwide. Financial institutions can reduce costs by developing digital inclusive finance, while risk reduction can be combined with big data by updating loan model to reduce the rate of nonperforming loans.
Firstly, from the perspective of cost reduction, financial institutions should follow the trend of the big data era and actively develop digital inclusive finance. Digital inclusive finance breaks the time and location limitations of financial services [41], decreases transaction costs [42], and effectively alleviates the problem of information asymmetry [43]. Further, it improves the credit environment in poor rural areas and broadens the channels of investing and financing in such places, which guarantees the sustainable development of inclusive finance and also makes it possible to combine the profit-making goals of financial institutions and the social objectives of the government.
Presently, China’s digital inclusive finance is developing soundly and has broad room for expansion. For this article, the data of rural areas in the Global Findex 2017 database were selected, which shows the development of digital inclusive finance in China’s rural areas compared to the previously mentioned matched groups and the indicator of digital payment. As shown in Figure 4, among Chinese rural residents over 15 years old, 33% have received digital payments while 56% have used digital payments in the past year. In addition, 34% of the respondents said they had paid their bills on the Internet in the past year, while 41% had shopped on the Internet in the past year. These data show that China, in terms of digital payments, far outperforms the G20 middle-income countries, the big middle-income countries in East Asia and the Pacific, and other big middle-income countries. However, China is still lagging behind the G20 high-income countries, which demonstrates that there is room for development of digital inclusive finance.
Secondly, from the perspective of risk reduction, financial institutions should improve the flexibility of mortgage borrowing. To be specific, there are two points. First, adjust the existing service mechanism, eliminating the dependence on collateral and adapting the credit loan model to farmers. Second, by means of fintech tools, build up the credit big data of farmers to allow the timely tracking of credit status, which will reduce the cost of obtaining farmers’ information and identifying their risk, as well as reduce the possibility of non-performing loans.

5.2. Financial Institutions and Users

The key to reducing synergy resistance between financial institutions and users is to match supply and demand. The mismatch between supply and demand is reflected in the following two aspects. First, users with demand for financial services are still excluded from existing financial services and products. Second, financial services and products are limited in terms of quantity and variety. Reducing the imbalance between supply and demand should start with supply-side reform. Financial institutions should start by increasing the quantity and improving the quality of the supply, while users increasing the use of online financial instruments and strengthening credit construction.

5.2.1. Measures for Financial Institutions to Provide Sufficient Supply

From the perspective of increasing the quantity of the supply, financial institutions should reasonably develop service networks in rural areas, fill the gap of financial services, and accurately focus on users who genuinely lack access to financial services to provide inclusive financial services. This mainly starts with increasing the accessibility of inclusive finance services by accelerating the construction of physical service networks offline, such as increasing the number of ATM and POS machines and branches. In order to visually demonstrate the impact of financial services availability on the financial needs of rural users, this paper uses Matlab software to carry out numerical simulations about the impact of POS and ATM supply on the loans of “agriculture, rural areas, and farmers”. Figure 5a–c are the results of the POS machines amounting to the agricultural loan balance, the rural (county and sub-county) loan balance, and the farmer’s loan balance; Figure 6a–c are the results of ATM machines amount to the agricultural loan balance, rural (county and sub-county) loan balance and the farmer’s loan balance. The horizontal x-axis in the figure is the number of ATM or POS machines per 10,000 persons in rural areas and the unit of the vertical Y-axis is trillion yuan. The data is from 2015 to 2018, and the data source is the official website of the People’s Bank of China and the China Financial Yearbook.
Table 4 is the equation coefficients generated during numerical simulations. The optimal fit function is a linear function, where P1 represents the slope and P2 is the constant term. R-square represents the explanatory power of the model fitting. It can be seen that the three models in Figure 5a–c have a strong explanatory power, and the explanatory powers of the three models in Figure 6a–c are acceptable. The slope coefficients of the six models are all positive, indicating that increasement of POS machines and ATM machines is indeed beneficial to increase financial availability in rural areas.
From the perspective of increasing the quality of the supply, financial institutions should conduct thorough client surveys, discern the real financing service needs in rural areas, and provide a targeted launch of inclusive financial products tailored to consumer needs. On the one hand, professionals can be hired to design appropriate inclusive financial products so as to integrate users’ needs and to adapt to the seasonal and nonrecurrent financial needs of users in rural areas. On the other hand, fintech tools can be used to develop more user-friendly digital inclusive financial products in rural areas to meet the diversified financial needs.
Additionally, according to the features of the new types of agricultural business entities, financial institutions can be rooted in industry planning in poor areas and implement the strategy of “One County, One Industry, One Village, One Product”, focusing on developing and designing financial products for the ecological aquaculture industry, economic forest and wood industry, leisure tourism, agro-products processing industry, and folk tourism. They can develop a new industrial chain financing model of “enterprise and peasant household”, “leading enterprises and peasant household”, and “professional cooperatives and peasant household” and continuously improve the penetration and suitability of financial services.

5.2.2. Measures for Users to Make Use of the Supply

The use of online financial instruments such as bank accounts and bank cards, as well as the use of online financial tools such as the Internet and mobile phones, is helpful to expand access to financial services and meet their financial needs. It will also help improve the profitability of financial institutions and enhance the sustainable development of inclusive finance in rural areas. In order to visually show the impact of the use of financial instruments on the profitability of financial institutions, this paper uses Matlab software to carry out numerical simulations. The explanatory variables are the number of mobile banking opened in rural areas (100 million households), the number of online banking opened in rural areas (100 million households), the number of bank cards per person in rural areas, and the number of bank settlement per person in rural areas (household).The interpreted variable is the after-tax profit of rural commercial banks (100 million yuan). The data for Figure 7a,b is from 2015 to 2017, while for Figure 7c,d is from 2015 to 2018. The data is from the official website of the People’s Bank of China and Almanac of China’s Finance and Banking.
Table 5 is the equation coefficients generated during numerical Simulation. According to the R-square index, the four models explain well. The slope coefficient is positive, indicating that the use of mobile banking, online banking, bank cards, and personal bank settlement accounts by rural users will help increase the profitability of financial institutions in rural areas.
Credit construction can be done in both active and passive ways. Active credit construction requires users’ own behavioral norms and strengthens self-credit management. The construction of passive credit needs to take the form of supervision, punishment, or moral restraint. The credit problem is mainly caused by information asymmetry. The first solution is to learn from the experience of India [44] by building a perfect credit system to enhance the availability of formal credit and alleviate the imbalance of financial development in different regions. The second solution is a new mode of increasing credit and guarantees called credit guarantee [45], which relies on a society of rural acquaintances and depends on the relationship of industry, consanguinity, and geography.

5.3. Government and Users

The key to reducing the cooperative resistance between the government and users is to tap the endogenous motivation of the users. Like the proverb, “Give a man a fish and you feed him for a day. Teach a man to fish and you feed him for a lifetime”, the government’s support for inclusive finance in rural areas can only help in the short term, and the government subsidy is the “fish.” The practice of increasing users’ income, improving users’ financial literacy, and developing rural areas is the teaching how “to fish”, which is the long-term policy for the sustainable development of inclusive finance in rural areas.

5.3.1. Measures for Government to Motivate Users

The government can proceed considering three aspects: policy support, financial education of rural users, and consummation of a rural credit system. Firstly, the government should provide positive policy support; adhere to the rural revitalization strategy; support agriculture, rural areas, and farmers; improve the social security system; and objectively improve access to financial services for users. Secondly, the government should strengthen the financial education of rural users and increase their willingness to participate in inclusive financial construction. Financial education includes fundamental financial knowledge, financial culture, and financial philosophy, among which financial culture is one of the important soft strengths of inclusive finance construction in rural areas. Rural financial culture takes credit culture as the core; makes modern contract consciousness deeply popular; and gradually leads farmers and rural financial institutions to form correct codes of conduct, ways of thinking, and concepts of values. Thirdly, the government should improve the rural credit system. The first step is that the local government should actively carry out rural credit rating activities; comprehensively promote the construction of credit towns, credit villages, and credit users; and help farmers to cultivate sound credit awareness and achievement. The second step is to standardize the rural credit rating market and provide accurate and effective credit information services for relevant departments. At the same time, a disciplinary mechanism should be established for those organizations that intentionally deceive or issue false information to improve the market credibility and social influence of the rural credit rating industry. The third step is to establish a credit information collection and sharing mechanism for small- and medium-sized enterprises and consummate the evaluation system of their information collection, credit evaluation, results application, news releasing, and financing. Further, increase information exchange and sharing between relevant departments, improve the accuracy of information collection, and realize the standardized operation of a financial credit information database.

5.3.2. Measures for Users to Cultivate Endogenous Power

First of all, users should cooperate with the government’s work and actively improve their learning ability, cognitive ability regarding consumption, and their own financial literacy. In addition, learning to cultivate their own power is particularly crucial [46], because “the ability of subjects will affect the power contrast among the subjects of financial markets as well as the interest game in financial activities, which is related to the financial market entry, financial transactions, and the fairness of financial welfare distribution”. Finally, users should keep up with the pace of the Internet era, master the basic skills of digital inclusive finance, use the Internet to understand the latest government policy, and be a new type of farmer in line with the trend of the times.

6. Research Limitations and Prospects

To sum up, based on the theory of synergy, this work analyzed the behavior motivation and cooperative resistance of the three subjects in the rural inclusive financial system—the government, financial institutions, and users—and put forward corresponding countermeasures for sustainability. Figure 8 reflects the three subjects of China’s rural inclusive financial system and the cooperative resistance.
The limitations of this paper are as follows. One is that this paper draws conclusions using the kind of descriptive statistical analysis used in most studies. For the analysis of cooperative resistance, it is difficult to carry out an empirical test because the research is biased at the macro level. For example, the influence of the government on financial institutions or users was mainly determined through measures such as policy implementation and supervision, but such measures are not easy to quantify into intuitive data forms. Even if a comparative analysis had been carried out before and after the implementation of the policy, it would still have been difficult to design the model and select suitable control variables. In order to address the above limitations, a numerical simulation was used to enhance the reliability of the results. However, this is still not as rigorous and persuasive as empirical results. The other limitation is the lack of sufficient discussion of the potential endogeneity issue and its remedies. Some empirical articles consider endogeneity problems, which has an important impact on the authenticity of the results [47]. Since this work did not conduct empirical research, endogenous problems were not considered.
Finally, the prospect of future research is as follows. After defining the subjects in the system, subsequent research can proceed from the perspective of the “lubricant” in the inclusive financial system, that is, the circulation and feedback mechanism of credit and capital flows. There have been many studies on capital flow in inclusive financial systems, but the related research on credit flow is scant. The study of credit flow can be carried out from the perspective of how to define, accumulate, and provide feedback for the credit of the served users in the financial system; how to interact with capital flow; how to form a dynamic cycle; and so on. Currently, the importance of credit is becoming increasingly obvious. The construction of a credit system in most developed countries has been thorough, but in most developing countries, the credit system is scarce, especially in rural areas of China. The root cause of the lack of motivation for financial institutions to provide services to rural users is the existence of bad debt risk caused by a breach of trust. Putting forward constructive suggestions in any step of credit flow will be a major breakthrough in research on inclusive finance in rural areas.

Reference

Author Contributions

Conceptualization, T.S.; Formal Analysis, T.S. and Y.C.; Resources, J.Z.; Data Curation, Y.Y. and Y.C.; Writing-Original Draft Preparation, T.S. and Y.Y. and Y.C. and J.Z.; Writing-Review & Editing, J.Z.; Supervision, T.S.

Funding

This research was funded by National Natural Science Foundation of China—grant number 71872128, Humanities and Social Science Fund of Ministry of Education of China—grant number 18YJA630139.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bruhn, M.; Love, I. The Real Impact of Improved Access to Finance: Evidence from Mexico. J. Financ. 2014, 69, 1347–1376. [Google Scholar] [CrossRef]
  2. Jeanneney, S.G.; Kpodar, K. Financial Development and Poverty Reduction: Can There be a Benefit without a Cost? J. Dev. Stud. 2011, 47, 143–163. [Google Scholar] [CrossRef]
  3. Zhou, M.L.; Peng, Y.T. The Theory and Countermeasures of Financial Poverty Alleviation in China—Based on the Perspective of Inclusive Finance. Reform Strategy 2015, 12, 40–44. [Google Scholar]
  4. Xie, S.F.; Lu, W.Z. Effect Measurement of Rural Inclusive Finance Coordinating Urban and Rural Development—Based on the Investigation of 18 Counties (Cities) in Six Provinces of Central China; Hubei Social Sciences: Wuhan, China, 2014; Volume 11, pp. 59–64. [Google Scholar]
  5. Tian, J.; Tao, J.P. The Impact of Rural Inclusive Financial Development on Chinese Farmers’ Income—An Empirical Analysis of Panel Data from 1877 Counties (Cities). J. Financ. Econ. 2012, 2, 57–63. [Google Scholar]
  6. Dong, X.L.; Zhu, M.J. Reform of rural financial supply side and construction of inclusive financial system. J. Nanjing Agric. Univ. (Soc. Sci. Ed.) 2016, 6, 14–18. [Google Scholar]
  7. Liu, P.P.; Zhong, Q.B. Analysis of the Difficulties and Transformation Paths of Rural Inclusive Financial Development in China. J. Sichuan Norm. Univ. (Soc. Sci. Ed.) 2014, 6, 33–40. [Google Scholar]
  8. Wang, J.; Hu, G.H. Development Evaluation and Influencing Factors of China’s Inclusive Finance. Financ. Forum 2013, 18, 31–36. [Google Scholar]
  9. Lou, F.P. The Path Choice of Financial Internet Development for Inclusive Finance. Financ. Econ. 2014, 4, 33–36. [Google Scholar]
  10. Jiao, J.P.; Huang, T.T.; Wang, T.L.; Zhang, S.H.; Wang, Q. China’s Pratt & Whitney Financial Development Process and Empirical Study. Shanghai Financ. 2015, 4, 12–22. [Google Scholar]
  11. Demirguec-Kunt, A.; Klapper, L. Measuring Financial Inclusion: Explaining Variation in Use of Financial Services across and within Countries. Brook. Pap. Econ. Act. 2013, 1, 279–340. [Google Scholar] [CrossRef]
  12. De Koker, L.; Jentzsch, N. Financial Inclusion and Financial Integrity: Aligned Incentives? World Dev. 2013, 44, 267–280. [Google Scholar] [CrossRef]
  13. Yao, Y. The Evolution of Rural Finance Theory and Its Practice in China. Financ. Teach. Res. 2005, 5, 2–4. [Google Scholar]
  14. Cao, X. Review on the Main Stages of Rural Financial Theory Development. J. Financ. Econ. 2008, 11, 27–35. [Google Scholar]
  15. Stiglitz, J.E. Peer Monitoring and Credit Markets. World Bank Econ. Rev. 1990, 4, 351–366. [Google Scholar] [CrossRef]
  16. Gu, N.; Liu, Y. Analysis of the Micro-Characteristics of the Development of Inclusive Finance in Rural China. Agric. Technol. Econ. 2018, 1, 48–59. [Google Scholar]
  17. Sarma, M. Index of Financial Inclusion, Working Paper No. 215. 2008. Available online: http://www.icrier.org/pdf/Working_Paper_215.pdf (accessed on 11 June 2019).
  18. Arora, R.U. Measuring financial access. 2010. Available online: https://www120.secure.griffith.edu.au/research/file/fd0408e2-75c5-c430-ea2d-2fe7274a467f/1/2010-07-measuring-financial-access.pdf (accessed on 24 May 2019).
  19. Gupte, R.; Venkataramani, B.; Gupta, D. Computation of financial inclusion index for India. Procedia Soc. Behav. Sci. 2012, 37, 133–149. [Google Scholar] [CrossRef]
  20. Osili, U.O.; Paulson, A.L. What can we learn about financial access from U.S. immigrants? SSRN Electron. J. 2006, 22, 431–455. [Google Scholar] [CrossRef]
  21. Swamy, V. Financial inclusion, gender dimension, and economic impact on poor households. World Dev. 2014, 56, 1–15. [Google Scholar] [CrossRef]
  22. Claessens, S. Access to financial services: A review of the issues and public policy objectives. World Bank Res. Obs. 2006, 21, 207–240. [Google Scholar] [CrossRef]
  23. Beck, T.; Demirguc-Kunt, A.; Martinez, P.M.S. Reaching Out: Access to and Use of Banking Services across Countries; The World Bank: Washington, DC, USA, 2005. [Google Scholar]
  24. Beck, T.; Demirguc-Kunt, A.; Martinez, P.M.S. Banking Services for Everyone? Barriers to Bank access and Use around the World; The World Bank: Washington, DC, USA, 2006. [Google Scholar]
  25. Arora, R.U. Financial Inclusion and Human Capital in Developing Asia: The Australian connection. Third World Q. 2012, 33, 179–199. [Google Scholar] [CrossRef]
  26. Beck, T.; Levine, R.; Loayza, N. Finance and the sources of growth. J. Financ. Econ. 2000, 58, 261–300. [Google Scholar] [CrossRef] [Green Version]
  27. Prasad, E.S. Financial sector regulation and reforms in emerging markets: An overview. Natl. Bur. Econ. Res. 2010. [Google Scholar] [CrossRef]
  28. Allen, F.; Demirguc-Kunt, A.; Klapper, L.; Peria, M.S.M. The foundations of financial inclusion: Understanding ownership and use of formal accounts. J. Financ. Intermed. 2016, 27, 1–30. [Google Scholar] [CrossRef] [Green Version]
  29. Fuchs, W.; Skrzypacz, A. Government interventions in a dynamic market with adverse selection. J. Econ. Theory 2015, 158, 371–406. [Google Scholar] [CrossRef] [Green Version]
  30. Solo, T.M. Financial exclusion in Latin America-or the social costs of not banking the urban poor. Environ. Urban. 2008, 20, 47–66. [Google Scholar] [CrossRef]
  31. Devarajan, S.; Swaroop, V.; Zou, H.F. The composition of public expenditure and economic growth. J. Monet. Econ. 1996, 37, 313–344. [Google Scholar] [CrossRef] [Green Version]
  32. Lusk, J.L. Distributional Effects of Crop Insurance Subsidies. Appl. Econ. Perspect Policy 2017, 39, 1–15. [Google Scholar] [CrossRef]
  33. Tan, W. Construction of Rural Inclusive Financial System Based on the Perspective of “Trinity”. J. Hunan Univ. Sci. Technol. (Soc. Sci. Ed.) 2013, 16, 85–88. [Google Scholar]
  34. Chen, Y. Five Core Issues of Rural Financial Development in China. China Financ. 2010, 19, 87–89. [Google Scholar]
  35. Zhang, H.; Xiong, X. Research on Rural Residents’ Financial Literacy Assessment and Influencing Factors——Based on Survey Data of Hubei and Henan Provinces. China Rural Surv. 2017, 3, 131–144. [Google Scholar]
  36. Liu, P.; Zhong, Q. Analysis on the Dilemma and Transformation Path of Inclusive Financial Development in Rural China. J. Sichuan Norm. Univ. (Soc. Sci. Ed.) 2014, 41, 38–39. [Google Scholar]
  37. Leland, H.E.; Pyle, D.H. Informational Asymmetries, Financial Structure, and Financial Intermediation. J. Financ. 1977, 32, 371–387. [Google Scholar] [CrossRef]
  38. Turvey, C.G.; Kong, R.; Huo, X.X. Borrowing amongst friends: The economics of informal credit in rural China. China Agric. Econ. Rev. 2010, 2, 133–147. [Google Scholar] [CrossRef]
  39. Tan, Z. Construction of the Legal Guarantee System for the Development of Rural Inclusive Finance in China. Truth 2018, 2, 97–108. [Google Scholar]
  40. Wang, X.; Ye, N.; Li, Z. Policy Orientation and Guidance of Inclusive Finance—Taking Taxation as an Example. Macroecon. Res. 2018, 2, 21–29. [Google Scholar]
  41. Wu, X. Internet Finance: The Logic of Growth. Financ. Trade Econ. 2015, 2, 5–15. [Google Scholar]
  42. Wang, G.; Zhang, Y. Discrimination of Internet Finance. Financ. Trade Econ. 2015, 1, 5–16. [Google Scholar]
  43. Zhou, L. Four Major Problems in Rural Financial Market and Their Evolutionary Logic. Financ. Trade Econ. 2007, 2, 56–63. [Google Scholar]
  44. Burgess, R.; Pande, R. Do rural banks matter? Evidence from the Indian social banking experiment. Am. Econ. Rev. 2005, 95, 780–795. [Google Scholar] [CrossRef]
  45. Akerlof, G.A. The market for “lemons”: Quality uncertainty and the market mechanism/Uncertainty in economics. Uncertain. Econ. 1978, 235–251. [Google Scholar]
  46. Hu, W. Inclusive Financial Development Research: From the Perspective of Financial Consumer Protection. Econ. Soc. Syst. Comp. 2015, 1, 91–101. [Google Scholar]
  47. Li, F. Endogeneity in CEO power: A survey and experiment. Invest. Anal. J. 2016, 45, 149–162. [Google Scholar] [CrossRef]
Figure 1. Median of physical service points per 100,000 adults. Sources: IMF FAS 2016; WBG GPSS 2016; relevant state departments.
Figure 1. Median of physical service points per 100,000 adults. Sources: IMF FAS 2016; WBG GPSS 2016; relevant state departments.
Sustainability 11 05984 g001
Figure 2. Longitudinal analysis of rural inclusive financial development.
Figure 2. Longitudinal analysis of rural inclusive financial development.
Sustainability 11 05984 g002
Figure 3. Borrowing situation of Chinese rural residents in 2017.
Figure 3. Borrowing situation of Chinese rural residents in 2017.
Sustainability 11 05984 g003
Figure 4. Development of digital inclusive finance in 2017.
Figure 4. Development of digital inclusive finance in 2017.
Sustainability 11 05984 g004
Figure 5. Linear graph of POS supply in rural areas and loans of (a) “agriculture”, (b) “rural areas”, and (c) “farmers”.
Figure 5. Linear graph of POS supply in rural areas and loans of (a) “agriculture”, (b) “rural areas”, and (c) “farmers”.
Sustainability 11 05984 g005
Figure 6. Linear graph of ATM supply in rural areas and loans of (a) “agriculture”, (b) “rural areas”, and (c) “farmers”.
Figure 6. Linear graph of ATM supply in rural areas and loans of (a) “agriculture”, (b) “rural areas”, and (c) “farmers”.
Sustainability 11 05984 g006
Figure 7. Linear graph of user financial instruments and rural commercial banks’ post-tax profit in rural areas. (a) Mobile banking service; (b) Online banking service; (c) Bank card; (d) Settlement account.
Figure 7. Linear graph of user financial instruments and rural commercial banks’ post-tax profit in rural areas. (a) Mobile banking service; (b) Online banking service; (c) Bank card; (d) Settlement account.
Sustainability 11 05984 g007aSustainability 11 05984 g007b
Figure 8. The model of the inclusive financial system.
Figure 8. The model of the inclusive financial system.
Sustainability 11 05984 g008
Table 1. Basic information of control groups.
Table 1. Basic information of control groups.
Control GroupAbbreviationCountries in the GroupProportion of Rural Population (%)National Income Per Capita (US$)
ChinaChina40.8 9470
G-20 high-income countriesG-20 HICArgentina, Australia, Canada, France, Germany, Italy, Japan, Korea, Russia, Saudi Arabia, United Kingdom, United States18.0 36,699
G-20 middle-income countriesG-20 MICBrazil, India, Indonesia, Mexico, South Africa, Turkey33.7 6713
Large middle-income countries in East Asia and the PacificEAP L-MICMalaysia, Philippines, Thailand, Vietnam47.8 5825
Other large middle-income countriesOther L-MIC Algeria, Bangladesh, Colombia, Egypt, Iran, Kenya, Nigeria, Pakistan, Peru, Sudan, Ukraine, Uzbekistan45.5 2975
Source: World Development Indicators 2018. Note: “Large countries” refers to countries with an adult population of more than 20 million; “middle income” is defined by the World Bank Group income classification criteria; the G-20 high-income country control group and the middle-income control group do not include China and the European Union; and national income per capita was calculated using the Atlas method, which is based on the present value of the US dollar.
Table 2. Annual performance of the National Rural Credit Union System.
Table 2. Annual performance of the National Rural Credit Union System.
YearNet Income (Billion, ¥)Capital Adequacy Ratio (%)Nonperforming Loan Rate (%)Agricultural Loan BalanceNumber of Rural Credit CooperativesNumber of Rural Banks
2002−5.8−8.336.935,5403
2005188.4514.827,03670
200922.82.915.322443056239
201265.49.17.231291927484
201566.487.831961373930
201651.98.47.3267911251154
Source: website of the China Banking Regulatory Commission.
Table 3. The general development level of inclusive finance in rural China in 2017.
Table 3. The general development level of inclusive finance in rural China in 2017.
IndicatorsChinaG-20 HICG-20 MICEAP L-MICOther L-MIC
Formal accounts rate0.7770.8880.6010.5360.443
Formal savings rate0.3200.4530.1670.2260.105
Formal credit rate0.0890.1830.1050.1480.093
Table 4. Summary Table 1 of diagram coefficients in numerical simulation.
Table 4. Summary Table 1 of diagram coefficients in numerical simulation.
FigureP1P2R-SquareAdj R-SquareRMSE
Figure 5a6.991−1.9710.7740.6611.297
Figure 5b4.166−7.8880.7740.6610.772
Figure 5c0.6671.2680.8410.7620.099
Figure 6a0.570−17.2600.4630.1941.998
Figure 6b0.349−17.6900.4890.2341.161
Figure 6c0.055−0.2110.5080.2620.175
Table 5. Summary Table 2 of diagram coefficients in numerical simulation.
Table 5. Summary Table 2 of diagram coefficients in numerical simulation.
FigureP1P2R-SquareAdj R-SquareRMSE
Figure 7a196.800984.0000.9440.88981.954
Figure 7b272.500553.3000.9520.90476.295
Figure 7c573.300208.5000.9260.88990.574
Figure 7d570.500−424.9000.8990.849105.461

Share and Cite

MDPI and ACS Style

Su, T.; Yu, Y.; Chen, Y.; Zhang, J. The Experience, Dilemma, and Solutions of Sustainable Development of Inclusive Finance in Rural China: Based on the Perspective of Synergy. Sustainability 2019, 11, 5984. https://doi.org/10.3390/su11215984

AMA Style

Su T, Yu Y, Chen Y, Zhang J. The Experience, Dilemma, and Solutions of Sustainable Development of Inclusive Finance in Rural China: Based on the Perspective of Synergy. Sustainability. 2019; 11(21):5984. https://doi.org/10.3390/su11215984

Chicago/Turabian Style

Su, Taoyong, Yuzhu Yu, Yongheng Chen, and Jian Zhang. 2019. "The Experience, Dilemma, and Solutions of Sustainable Development of Inclusive Finance in Rural China: Based on the Perspective of Synergy" Sustainability 11, no. 21: 5984. https://doi.org/10.3390/su11215984

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop