The Role Model of Inclusive Finance in Regional Economic Development Based on Carbon Neutrality Theory

Yu, Zeyi

doi:https://doi.org/10.1155/2022/2752498

Mobile Information Systems

On this page

Abstract Literature Review Conclusions Data Availability Conflicts of Interest References Copyright Related Articles

Special Issue

Big Data-Driven Mobile IoT Intelligence

View this Special Issue

Research Article | Open Access

Volume 2022 | Article ID 2752498 | https://doi.org/10.1155/2022/2752498

The Role Model of Inclusive Finance in Regional Economic Development Based on Carbon Neutrality Theory

Zeyi Yu¹

Academic Editor: R. Mo

Received21 Jun 2022

Revised04 Jul 2022

Accepted08 Jul 2022

Published30 Jul 2022

Abstract

The most significant global challenge is global climate change; carbon emission reduction and carbon neutralization are the last way to solve global climate change. Achieving carbon neutrality will significantly impact the global economy and the national economy. The “dual carbon goals” proposed by China will also substantially impact the global economy and regional economic development. Focusing on regional economic development, achieving carbon neutrality is not only an opportunity for regional economic development but also a challenge. To achieve the goal of carbon neutrality, there must be institutional innovation and management innovation, which will provide new opportunities for balanced development among regions. With the development of inclusive finance, financial services for many disadvantaged groups and small and medium-sized enterprises have been further developed, thereby promoting economic development. With the development of Internet finance, big data, cloud computing, and other technologies, the development of inclusive finance, etc., the concept has also emerged. However, due to the short time of digital financial inclusion, the imperfect regulatory system, and the low degree of public participation, it is worth investigating whether the development of digital financial inclusion has a catalytic effect on the improvement of economic growth. Using the data of 31 provinces to build a panel regression model, this paper studies the market development, the development degree of digital financial inclusion, and the impact of digital financial inclusion on the relationship between factor markets and product markets and regions from the perspective of factor markets and product markets.

1. Research Background

The economic development of a country or region must adapt to broader development trends to obtain comparative advantages and effects. All countries that can seize this opportunity have achieved great success in the evolution of human society. In a country’s development process, any region that can grasp the opportunities contained in the country’s development trend will gain certain development advantages in the country’s development model. From the point of view of the nation, grasping the trend of world development is the nation’s priority; at the regional level, grasping the trend of national development is the focus of regional development. Climate change is the biggest challenge to world development today. The global response to climate change is an important issue to be solved urgently. However, due to the increase in extreme weather phenomena caused by global climate change, the increasing awareness of climate change among scientists, and the increasing importance of governments around the world about its impact. As an active party to the United Nations Framework Convention on Climate Change, China has not only participated in a series of agreements on temperature control advocated by the Framework Convention but also actively took measures to achieve higher temperature control indicators [1–5]. At the ninth meeting of the National Economic Committee, Xi Jinping conducted in-depth discussions on achieving carbon peaking and carbon neutrality. Carbon neutrality is the ultimate goal we must achieve in these three areas and the only way to combat global climate change.

2. Literature Review

Since the concept of financial inclusion was put forward, its policy effects have received widespread attention from the academic community. Scholars have researched the impact of inclusive finance on regional innovation, increasing residents’ consumption, alleviating the imbalance of urban and rural economic development, improving poverty status, and promoting economic growth. Scholars at home and abroad have various definitions of inclusive finance. Wang defined financial development as the ratio of financial scale to economic scale in their paper on Establishing and measuring the evaluation index system for high-quality development of 15 sub-provincial cities in China in the new era [1]. Tian and Gao used these data to benchmark financial inclusion (the proportion of the population using formal financial services) in the Research on the driving mechanism of technological innovation [2]. Shi clearly defined the three dimensions of the development level of financial inclusion. The purpose of financial inclusion development is to enable all members of the economic society to obtain and use formal financial resources. It facilitates the efficient allocation of productive resources, potentially reducing capital costs [3]. Wei and Zhao believe that inclusive finance is an expansion of microfinance with marginalized and small-scale characteristics. A systematic and formal financial service system has been formed based on microfinance, and its core concept is to serve the low- and middle-income groups and the poor [4]. Qi believe that the practical significance of inclusive finance is to allow all social strata to have equal access to financial services so that financial resources can better support economic development, and areas with better economic development can Use scientific and technological means to promote the development of inclusive finance [5]. The related Research by Qi and Yuan et al. mentioned that digital finance has the advantages of convenient service, accurate matching, and low cost. This innovative digital finance can overcome the dependence of traditional finance on physical outlets, shorten the business chain, and improve the financial business process system [6, 7]. With the widespread application of Internet technology in modern medical care, e-commerce, remote communication, and other daily life, its application value in the financial field has also received widespread attention. With the digital characteristics of Internet technology, the advantages of digital finance have become more and more obvious. People began to think about using Internet technology to make financial inclusion play a greater role. In their Research, Xiao pointed out that the development of the Internet is a necessary condition for the rise of innovative financial services. New Internet financial products such as Yu’ebao and Alipay can only provide financial services such as payment and lending with the help of rich Internet platforms [8]. Digital Finance has broken through the limitations of time and space with its technological advantages to carrying out various financial services. It is a new financial service model that integrates artificial intelligence, mobile payment, and digital technology to realize fast payment, lending, investment, financing, etc. [9]. Sun’s Research pointed out that the focus of financial innovation at this stage is the integration of finance and digital technology, which has changed the development mode of inclusive finance and gave birth to a digital inclusive finance development model. Digital financial inclusion is based on the remote transmission function of Internet technology, which expands the scope of financial services [10].

Since its introduction in China in 2006, inclusive finance has been highly valued by all walks of life. The existing ResearchResearch provides a good reference for this paper. From the review and analysis of existing literature, because the concept of high-quality economic development has been proposed relatively quickly, there are currently few articles on the relationship between inclusive finance, especially digital inclusive finance, and high-quality economic development. Some studies on financial inclusion, especially digital financial inclusion, are mostly based on theoretical discussions. However, the environment facing our country’s financial development is complex, and its effects on the macroeconomy may deviate from micro theories. Therefore, based on theoretical analysis, we should also fully consider our country’s current economic development status to conduct empirical Research. In addition, it will deeply analyze whether the Internet penetration rate will impact the implementation of digital inclusive finance policies to provide ideas and directions for the development of inclusive digital finance, as well as practical guidance for the realization of innovation-driven innovation and high-quality economic development.

3. Carbon Neutrality

Carbon neutrality has become the common goal of the global response to climate change. However, to achieve this goal, we need to face the following challenges: CO₂ emissions are enormous, and the average concentration of CO₂ in the air continues to rise; India, Russia, and other world Powerful countries have not yet committed to the time to achieve carbon neutrality [11]; The energy consumption structure is still dominated by fossil energy, with coal, oil, natural gas, and new energy being “four parts of the world.” The proportion of new energy is relatively low. Energy transformation is facing severe challenges. The global distribution of new energy sources such as solar and wind energy has intermittent and spatial distribution differences, which brings severe challenges to the large-scale development of new energy sources; Hydrogen energy, CCUS, energy storage, etc. The application cost of technology is very high, and there is no large-scale commercial promotion and application. Our country’s energy consumption and CO₂ emissions can be roughly divided into three stages: slow development (gentle slope area), rapid development (steep slope area), and stable development (platform area). From 1980 to 2001, our country’s energy consumption was in a gentle slope area. The annual increase in energy consumption was 0.43 × 108 tons, and the CO₂ emission increased to 0.93 × 108 tons [12]. The annual increase in CO₂ and the energy consumption ratio reached 2.2; China’s energy consumption showed a steep slope from 2002 to 2013, with an annual increase in energy consumption of 2.06 × 108 tons, an annual increase in CO₂ emissions of 4.50 × 108 tons, and the proportion of the annual increase in CO₂ emissions in annual energy consumption was 2.2; the platform area was 2014. For the energy consumption in the period of ∼2020, the annual new energy consumption will be 1.12 × 108 tons of standard coal, the carbon dioxide emission will increase by 0.81 × 108 tons per year, and the annual increase in CO₂ energy consumption ratio will be 0.7. Our country’s energy consumption structure is mainly coal, oil and gas resources are relatively light, and new energy resources are relatively scarce [13]. Figure 1 shows the related carbon neutralization theory technology. In order to achieve carbon neutrality, China must transform the “big three, small” energy structure into a “three small and one big” new energy structure.

4. The Connotation of Carbon Neutrality

“Carbon Neutrality” aims at the dynamic balance between carbon dioxide emissions caused by human activities and the Earth’s carbon cycle and uses carbon-free new energy to replace fossil energy in an orderly manner. The study of minimizing the impact of human activity footprint on the natural environment is an interdisciplinary subject between energy science and social science [14, 15].

“Carbon Neutrality” is a discipline of energy science and energy research idea centered on the interaction and coordinated development of the Earth, energy, and human beings. “Carbon Neutrality” includes three main research contents: (1) In the Earth system, the impact of energy generation and consumption on the Earth’s climate and environment, reflecting the interconnection between the Earth and energy, (2) The Earth’s environment is the evolution of human beings. The product is the impact of human activities on the environment and the interaction between man and nature; (3) The human beings use science and technology to develop energy and develop energy as the driving force, which is the interactive relationship between man and energy.

Establishing a carbon-neutral global energy system is integral to “carbon neutrality” research [16]. The earth’s energy originated from the prosperity, extinction, burial, and evolution of the sun. With the evolution of the Earth system, it finally became an “artificial sun” (controllable nuclear fusion), thus realizing “from the sun, and then back to the sun.” The energy cycle [17]. Under carbon neutrality, a “new energy” + “smart source” system will be formed with clean, carbon-free, intelligent, and efficient energy development goals at the core. Energy technology will be transformed from a resource-based type based on resource advantages to a technology-leading type [18]; our country’s energy structure will be transformed from the direct consumption of single energy to the consumption of secondary energy of electricity from centralized use to intelligent, balanced energy management. The purpose of carbon neutrality is consistent with the purpose of energy research [19]. Figure 2 shows the financial analysis under carbon neutrality theory. The energy perspective reveals the symbiotic distribution of fossil energy and non-fossil energy in the earth system, the orderly replacement and transformation of carbon energy and hydrogen energy, and the harmony between the energy system and green earth—the laws of natural change in development.

5. Empirical Analysis of the Impact of Digital Inclusive Finance on Regional Economic Development Competitiveness Based on Carbon Neutrality

Assuming that there are n decision-making units DMU in this model, each DMU has m types of input items and s output items [20]. The corresponding weight vectors are recorded as and respectively. Among them, the input item vector of the jth is denoted as , , . Among them: is the total input of the jth decision-making unit to the ith type of element, is the total output of the jth decision-making unit to the rth type of product, ; is the input item of the ith type Weight coefficient, is the weight coefficient of the rth output item, . Therefore, the relative efficiency evaluation index of the jth DMU factor input and product output is obtained as follows:

Select suitable input weight A and output weight B to make the jth DMU relative efficiency evaluation index . Perform performance evaluation on the kth DMU, denoted as DMU_k, and take the efficiency index of the kth DMU as the goal to obtain a general DEA optimization model:

In order to simplify the operation of this model, it is transformed into an equivalent linear programming model, and the Archimedes infinitesimal variable is introduced. represents a positive actual number greater than 0 but less than any positive number, which constitutes the model of DEA. The specific dual linear programming model is as follows:

Among them, , 0 is the dual variable; is the m-dimensional unit vector, that is, is the s-dimensional unit vector, that is , and are slack variables, , , , , , , .

Model was initially only set as the constant return to scale of the project production technology. After the continuous improvement of the model by researchers, the assumption of the project production technology was developed into a situation of diminishing returns to scale. If the constant return to scale is assumed () Changed to the variable returns to scale assumption (VRS), the DEA model is perfected as:

The relative efficiency calculated by the model under the assumption of VRS is pure technical efficiency. The relative efficiency calculated under the assumption of the condition is technical efficiency or total efficiency, which includes scale efficiency and pure technical efficiency.

The model shows that when the output of the kth DMU remains unchanged, the input factor should be kept as low as possible in the same proportion. If obtains the best solution, and if , , and are relatively effective at this time, the evaluated DMU is both technically practical and effective in scale; if , , and are not zero vectors at the same time, the evaluated DMU is called weak DEA Effective, the decision-making unit does not satisfy both scale effectiveness and technical effectiveness, solve its VRS model, if , it is said that the evaluated DMU is not DEA effective.

6. The Role of Inclusive Finance in Promoting High-Quality Development

The role of inclusive finance in economic development has two aspects: First, SMEs are an essential link in our country’s economic development. The “China Economic Census Yearbook” shows that by the end of 2019, the scale of small and medium-sized enterprises in China has reached about 70% [21]. In essence, inclusive digital finance is an organic integration of inclusive finance and digital finance, which can accurately mine and analyze user data, provide more accurate financial services, and improve service quality and efficiency. It provides powerful help to solve small and medium-sized enterprises’ complex financing and financing difficulties. At the same time, inclusive development has also provided more financial services for people in remote and backward areas and promoted regional economic development. Essential financial services in China have covered 99% of the population, and the coverage rate of outlets in rural areas has reached 96% [22, 23]. Digital inclusive finance expands the coverage of financial services, lowers the threshold for marginal customers to obtain financial services, broadens the investment and wealth management channels for marginal customers, and increases the channels for marginal customers to obtain benefits. From the perspective of Keynesian economics, the endogenous growth of income can promote residents’ consumption, expand domestic demand, and promote the high-quality development of the region.

6.1. Inclusive Finance Has Played an Essential Role in Promoting the High-Quality Development of the Regional Economy

The factor market is an essential factor in promoting high-quality economic development. In real life, factor markets, labor, capital, and other factor markets and product markets are optimally allocated according to the principle of efficiency to maximize the productivity of the entire society [24]. On this basis, accelerating the construction of the factor market system has great practical significance for promoting the high-quality development of our country’s economy. The balanced development of the product market is conducive to realizing the rational allocation of the industry and the promotion of fair competition in the market, which is an essential factor in promoting the sustainable development of the regional economy and society. The development of the capital factor market can promote the sustainable development of the economy from the aspects of resource allocation, productive investment, and technological progress. At present, China’s capital factor market is operating well. The yield of 10-year treasury bonds is around 3.2%, and good results have been achieved in resource allocation, capital accumulation, and technological progress [25]. Further development of the market is conducive to promoting the high-quality development of our country’s economy. Figure 3 shows the theoretical analysis of financial inclusion under carbon neutrality theory.

Table 1 displays the high-quality economic development index of different provincial-level regions in China from 2011 to 2018. It can be seen from the table that the average value of the high-quality development index of the digital economy every year is close to the median value. Moreover, with time, the values of the two are getting closer and closer, which indicates that the development of digital financial inclusion in various regions has gradually tended to be balanced. At the same time, it can be found that the high-quality development index of China’s digital economy in 2018 has increased by more than seven times that of 2011, with an average annual growth of 33.37% [26]. That shows the rapid growth trend of digital financial inclusion in China. At the same time, according to the different growth rates, it can be divided into three development stages, of which the first 5 years are the accumulation stage of development. At this stage, thanks to the breakthrough development of information technology, the development of inclusive digital finance is also moving toward a big step forward. After this stage, the development growth rate slowed down, and inclusive digital finance encountered a development bottleneck. Most provinces have a small growth rate at this stage, and even Ningxia has declined; 2016–2018 is a stage of stable development. With the introduction of the normative documents for developing inclusive digital finance, China’s digital inclusive finance regulatory system is becoming more and more perfect. The corresponding development of inclusive digital finance has also entered a sustainable and stable development stage [27].

6.2. The Development Level of the Factor and Product Markets Plays an Essential Role in Improving the High-Quality Development of the Regional Economy

The combination of inclusiveness and digital finance will provide new impetus for developing the regional economy. First, promote the development of inclusive finance, promote the improvement of urbanization level, and infrastructure construction, maintain the supply of essential elements, and promote the development of emerging elements. Secondly, the development of inclusive finance can effectively guide the flow of funds to high value-added industries and increase the output of high-value-added products, thereby promoting the high-quality development of the regional economy; Financial markets are increasingly required to provide adequate support for the real economy, and at the same time, there are more and more problems caused by economic development and income disparities between regions [28]. In our country’s middle- and low-income areas, the market for capital factors is relatively low-developed. The number of financial institutions is small, the level of financial services is low, and the people’s financial awareness is poor. The popularization of inclusive finance in our country will provide more financial support for moderately underdeveloped regions and expand the coverage of financial services in poor regions, thereby enhancing the role of the financial market in promoting high-quality regional economic development [29]. Figure 4 shows the data analysis of financial inclusion theory under China’s carbon neutrality theory in 2020.

7. Application Models of Inclusive Finance in Promoting High-Quality Development

7.1. Indicator Selection and Data Description

This paper takes 31 provinces and autonomous regions from 2011 to 2020 as samples, selects the following indices as research variables and uses the Wind database and the yearbooks of various provinces and cities for analysis.

7.1.1. High-Quality Economic Development

This paper firmly grasps the connection between the five development concepts and economic growth, and according to the research ideas of Cheng Xiang et al., shares the indicators of five dimensions, and uses the entropy weight method to establish the evaluation index of the high-quality development of the provincial economy. Among them, the main influencing factor of technological progress is technological progress, and the selected indicators include R&D investment intensity, technology market turnover, the number of invention patents per 10,000 people, and the full-time equivalent of R&D personnel in industrial enterprises above designated size; among them, urban-rural income ratio [30]. The urban–rural consumption ratio, the ratio of the output value of the secondary and tertiary industries to GDP are the coordination dimensions; the green dimension selection indicators include: forest coverage rate, green coverage rate in built-up areas, per capita park green space area, domestic waste harmless treatment rate, environmental protection Expenditure accounts for the proportion of fiscal expenditure, the number of days with air quality reaching or good; the indicators for selecting the open dimension are: trade surplus, the number of foreign-funded enterprises; the number of public library collections in public libraries, the per capita public library collections, and the number of public transport vehicles owned by 10,000 people, the number of urban workers who participate in the endowment insurance and the basic medical insurance for urban workers [31].

7.1.2. Inclusive Finance

The development of provincial-level inclusive finance was evaluated with the indicators of inclusive finance represented by the Institute of Digital Finance of Peking University as an indicator.

7.1.3. Market Development Level

China’s provincial marketization index compiled by experts such as Fan Gang takes the product market development level as an indicator. The factor market contains more content, including financial marketization, human resource supply, marketization of technological achievements, etc. Therefore, we separate the financial market-oriented financial products from the development index of the factor market as a financial market. The development index and the excluded financial marketization index are used as the factor market development score (Factor) [32–49]. In addition to the development level of financial inclusion and the development degree of each market, this paper also introduces some control variables to reduce the estimation error caused by ignoring variables: trade openness (open): the scale of foreign trade affects economic growth. A decisive role. Fiscal Expenditure: As the primary measure for local governments to ensure economic development and maintain economic stability, fiscal expenditure plays an essential role in regional economic development. The article analyzes our country’s fiscal expenditure with the ratio of provincial fiscal expenditure to GDP as an indicator [33]. Urbanization level: In recent years, with the rapid development of urbanization, the role of the urbanization level in the region cannot be ignored. The article selects the urban population ratio of each province as the evaluation index [34].

7.2. Mode Settings

This study aims to explore the impact of different markets and inclusive finance on high-quality development and further examine the impact of the development level of inclusive finance on our country’s high-quality economic development.

In the actual economic operation, the economic activities of any region cannot exist independently, and there will be a certain degree of connection and interaction between economic units in different regions. Existing studies have shown obvious spatial correlations between Paving the way for low-carbon development globally and along the “Belt and Road” report released (Zai Xie) [35] and Supporting green and low-carbon development of economy and society with an interdisciplinary model system (Qu Shen) [36] in different regions. Therefore, this paper uses a spatial econometric model to empirically test the impact of digital finance on high-quality economic development and its spatial spillover effect. Spatial econometric models mainly include Spatial Error Model (SEM), Spatial Autoregressive Model (SAR), and Spatial Durbin Model (SDM). The general expression of the model is shown in formula (5):

Among them: is the high-quality economic development index of the ith region in year t; p is the spatial autocorrelation coefficient of the explained variable; is the set of all explanatory variables in the ith region in year t; is the estimate of the corresponding explanatory variable coefficient; is the spatial autocorrelation coefficient of each explanatory variable; is the spatial weight matrix element of the ith and jth regions; and are the spatial and temporal fixed effects, respectively, is the spatial error term; is each disturbance term of the spatial autocorrelation coefficient. When p = 0, = 0 is the SEM model; = 0, y = 0 is the SAR model; A = 0 is the SDM model.

The results are given in Table 2. It can be seen that the indices of China’s digital finance from 2011 to 2018 were all positive numbers and were statistically significant at the 5% level; the indices of high-quality economic development were also cheerful and were at the 10% level from 2011 to 2015.

The above is significant, indicating a certain spatial autocorrelation between China’s digital finance and high-quality economic development, which is manifested in positive spatial aggregation. Therefore, it is more reasonable to use the spatial econometric model to explore the impact of digital finance on high-quality economic development.

8. Conclusions and Recommendations

From the perspective of factor markets and product markets, this paper uses data from 31 provinces to construct a panel regression model to study market development, the degree of development of digital financial inclusion, and the impact of digital financial inclusion in various factors markets and product markets—relationship with the region. According to our country’s high-quality development level and inclusive finance development level, this paper studies the heterogeneous effects of different development levels in our country. The study found that the development of digital financial inclusion and the development of financial markets will both play a positive role in promoting the high-quality development of the regional economy, and financial inclusion can promote high-quality regional development by optimizing the development of factors, products, and financial markets. Develop. In addition, from the regression analysis of small samples, it can be seen that in areas with high levels of development, the regulation effect of inclusive finance on various markets and high-quality development levels is the most obvious; In contrast, the level of inclusive development in inclusive digital finance continues to improve, Its function of regulating various markets and economic development is also gradually weakening.

Data Availability

The dataset can be accessed upon request.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

References

S. Wang, “Efficiency analysis of Chinese science and technology finance based on the DEA-malmquist model,” in Proceedings of the 2nd International Conference on Economic Development and Innovation (EDI 2021), Hong Kong, December 11-12, 2021.
View at: Google Scholar
L. Tian and J. Gao, “Research on financing modes of catastrophic risks in China:Cross-sectional or inter-temporal,” in Proceedings of the 6th International Conference on Innovation and Management, London Uk, 26th July 2009.
View at: Google Scholar
D. Shi, “Input and output analysis of financial innovation system in China,” in Proceedings of the 6th International Conference on Innovation and Management, Changsha, China, May 17 to 18, 2009.
View at: Google Scholar
W. Jingqiang and Y. Zhao, “A research on Chinese financial sustainable development,” in Proceedings of the 7th International Conference on Innovation and Management, 7-7 July 2010.
View at: Google Scholar
Qi Huang, “Study on rural finance against the background of Internet finance in China,” in Proceedings of the Second International Conference on management, economics and law, China, 11 September 2021, https://doi.org/10.2991/aebmr.k.210909.015.
View at: Google Scholar
H. Qi, “Impact of digital finance on corporate efficient: evidence from empirical research in China,” in Proceedings of the 2nd International Symposium on Economics, Management, and Sustainable Development (EMSD 2021), Hangzhou City, China, July 15-16, 2022.
View at: Google Scholar
B. Yuan, K. Zhao, and X. Shen, “Digital finance and corporate value: an empirical evidence from China,” in Proceedings of the 2nd International Symposium on Economics, Management, and Sustainable Development (EMSD 2021), Hangzhou City, China, July 15-16, 2022.
View at: Google Scholar
Ke Xiao, “The contribution of policy-oriented finance to independent innovation,” in Proceedings of the 6th International Conference on Innovation and Management, Changsha, China, May 17 to 18, 2019.
View at: Google Scholar
M. Yu, “Research on relative efficiency of input and output of sci-tech finance based on DEA model:A case study in shanghai,” in Proceedings of the Fifth International Conference on Economic and Business Management (FEBM 2020), Atlantic Press, China, 14 December 2020.
View at: Publisher Site | Google Scholar
S. Sun, “Development strategy of technology finance industry based on Internet thinking,” in Proceedings of the 2021 International Conference on Intelligent Transportation,Big Data & Smart City(ICITBS 2021)Part, Xi’an, China, 27-28 March 2021.
View at: Publisher Site | Google Scholar
J. Peng, “Research on poverty reduction effect of inclusive finance in China ethnic areas,” in Proceedings of 4th International Conference on Economy, Judicature, Administration and Humanitarian Projects(JAHP 2019)(Advances in Economics, Business and Management Research, vol. 94, Hong Kong, September 2019.
View at: Google Scholar
M. JiangH. Yu, “Guangxi inclusive finance research from the perspective of rural rejuvenation,” in Proceedings of the 2nd International Symposium on Social Science and Management Innovation(SSMI 2019), Xi’an City, China, November 29-30, 2019.
View at: Google Scholar
J. Wang, “Digital inclusive financial and total factor productivity,” in Proceedings of the 2nd International Symposium on Frontiers of Economics and Management Science (FEMS 2021), Dalian City, China, May 15-16, 2021.
View at: Google Scholar
Y. Zhang, “Inclusive financing and labor migration——evidence from China,” in Proceedings of the 2nd International Symposium on Frontiers of Economics and Management Science (FEMS 2021), Dalian City, China, May 15-16, 2021.
View at: Google Scholar
J. Wang, G. Hu, and Y. Lei, “Research on inclusive financial system in China: from the perspective of financial support for disadvantaged fields,” in Proceedings of the 9th International Conference on Innovation and Management, June 25, 2012.
View at: Google Scholar
Y. Li and X. Wei, “The development of inclusive finance in chongqing,” in Proceedings of 4th International Conference on Economy, Judicature, Administration and Humanitarian Projects (JAHP 2019) (Advances in Economics, Business and Management Research,VOL.94), September 2019.
View at: Publisher Site | Google Scholar
B. Wu, J. Yang, T. Duan, and W. Miao, “An analysis of credit risk of middle and small-sized enterprises in the inclusive financial system:an example from China,” in Proceedings of The 2019 World Congress on Computational Intelligence, Engineering and Information Technology (WCEIT 2019), San Francisco, USA, October 22 - 24, 2019.
View at: Google Scholar
C. Chang and C. Fang-Tzu, “Applying data mining in order to motivate inclusive finance,” in Proceedings of 4th International Conference on Humanities Science, Management and Education Technology (HSMET 2019)(Advances in Social Science, Education and Humanities Research,VOL.334), Kunming, China, September 29-30, 2016.
View at: Google Scholar
Y. Wang, “Government behavior in the development of inclusive finance in China from the perspective of historical institutionalism: regulation or boost? Based on international case comparison,” in Proceedings of 2019 3rd International Seminar on Education, Management and Social Sciences (ISEMSS 2019) (Advances in Social Science, Education and Humanities Research, VOL.345), Zhuhai, China, January 14-15, 2017.
View at: Google Scholar
Y. Wang, “Empirical research of poverty alleviation effects of digital inclusive finance from the perspective of internet——based on 2011-2015 provincial panel data,” in Proceedings of the 2018 3rd International Conference on Society Science and Economics Development(ICSSED 2018), Zhuhai, China, October 22-23, 2016.
View at: Google Scholar
C. Zhang and F. Guo, “Financing path of small and micro enterprises of science and technology in China based on Internet finance,” in Proceedings of the International Conference on Communication, Innovation and Economic Management in 2020 (ICCIEM), Samuel Hall, December 26, 2020.
View at: Google Scholar
Z. Fu and J. Jian, “Analysis of the relevancy between the Internet finance and small-and-medium-sized enterprises financing: based on the survey of wuhan E,” in Proceedings of the 14th International Conference on Innovation and Management, 2017.
View at: Google Scholar
Z. Zhou, “Analysis of marketing strategies for related products in China’s financial market from the Internet perspective——taking ant credit pay as an example,” in Proceedings of 2nd International Symposium on Social Science and Management Innovation(SSMI 2019), Xi’an City, China, November 29-30, 2019.
View at: Google Scholar
D. I. Shi, “Output analysis of financial innovation system in China,” in Proceedings of the 6th International Conference on Innovation and Management, Changsha, China, May 17 to 18, 2019.
View at: Google Scholar
H. Qi, “Impact of digital finance on corporate efficient: evidence from empirical research in China,” in Proceedings of the 2nd International Symposium on Economics, Management, and Sustainable Development (EMSD 2021), Hangzhou City, China, November27-28, 2021.
View at: Google Scholar
B. Yuan, K. Zhao, and X. Shen, “Digital finance and corporate value: an empirical evidence from China,” in Proceedings of the 2nd International Symposium on Economics, Management, and Sustainable Development (EMSD 2021), Hangzhou City, China, November27-28, 2021.
View at: Google Scholar
M. Cui, “Research on bank supply chain financial risk management based on game analysis,” Economic Times, vol. 1744, no. 2, p. 022027, 2020.
View at: Google Scholar
H. Li, “Internet financial risk and prevention analysis,” in Proceedings of the 3rd Guangzhou International Forum on Finance (GZIFF 2020), Guangzhou City, China, November 19-22, 2020.
View at: Google Scholar
J. Han, “Risk prevention and countermeasures of Internet finance in China,” in Proceedings of 4th International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2020), Suzhou City, China, December 5-6, 2020.
View at: Google Scholar
S. H. An, E. Ban, I. Y. Chung, Y. H. Cho, and A. Kim, “Antimicrobial activities of pp based topical gels,” Pharmaceutics FEMS, vol. 13, no. 12, p. 2021, 2021.
View at: Publisher Site | Google Scholar
Yu Liu, “Vigorously promoting green and low-carbon development,” China Industrial Economics, vol. 2021, no. 23, p. 223, 2021.
View at: Google Scholar
H. Zhou, “The key to achieving the “dual carbon” goal is green and low-carbon energy development,” Forum of Chinese Party and Government Cadres, vol. 2021, no. 11, p. 554, 2021.
View at: Google Scholar
C. Chan, “New situation, new opportunities, and new challenges for Chengdu to promote urban green and low-carbon development,” Low Carbon Economy, vol. 9, no. 02, pp. 45–61, 2022.
View at: Google Scholar
Na Wen, “Effects, problems, and coping strategies of low-carbon development in Shenyang. Brand and Standardization,” Effects, vol. 2021, no. 03, p. 212, 2021.
View at: Google Scholar
Z. Xie, “Paving the way for low-carbon development globally and along the “Belt and Road” report released,” Comprehensive utilization of resources in China, vol. 2021, no. 05, 2021.
View at: Google Scholar
Qu Shen, “Supporting green and low-carbon development of economy and society with an interdisciplinary model system,” Environmental Management in China, vol. 2021, no. 03, pp. 77–89, 2021.
View at: Google Scholar
S. Jiang, “Countermeasures to promote ecological priority green and low-carbon development in our country,” Journal of Shandong Agricultural Engineering College, vol. 21, no. 07, 2021.
View at: Google Scholar
L. Jin and T. Che, “Research on the green and low-carbon development of Liaoning under the background of carbon neutralization,” Liaoning Economics, vol. 2021, no. 03, p. 27, 2021.
View at: Google Scholar
S. Wang and H. Wang, “Strategy research on the healthy development of China’s digital economy under the background of dual carbon goals,” Contemporary economic management, vol. 22, 2018.
View at: Google Scholar
L. Li, W. Chen, and H. Wang, “Application research of digital RMB in green finance,” Rural Finance Research, vol. 2021, no. 06, 2021.
View at: Google Scholar
Z. Liu, Y. Zhang, and H. Li, “Digital inclusive finance, multidimensional education, and farmers’ entrepreneurial behavior,” Mathematical Problems in Engineering, vol. 2021, p. 6541437, 2021.
View at: Google Scholar
L. Li and C. Mao, “Big data supported PSS evaluation decision in service-oriented manufacturing,” IEEE Access, vol. 8, no. 99, pp. 154663–154670, 2022.
View at: Publisher Site | Google Scholar
L. Zhou and H. Wang, “An approach to study the poverty reduction effect of digital inclusive finance from a multidimensional perspective based on clustering algorithms,” Scientific Programming, vol. 2021, p. 4645596, 2021.
View at: Google Scholar
L. Li, C. Mao, H. Sun, Y. Yuan, and B. Lei, “Digital twin driven green performance evaluation methodology of intelligent manufacturing: hybrid model based on fuzzy rough-sets AHP, multistage weight synthesis, and PROMETHEE II,” Complexity, vol. 2020, no. 6, pp. 1–24, 2020.
View at: Publisher Site | Google Scholar
T. Wang and C. Ji, “How does digital finance affect people’s income: evidence from China,” Security and Communication Networks, vol. 2022, p. 7025375, 2022.
View at: Google Scholar
L. Li, B. Lei, and C. Mao, “Digital twin in smart manufacturing,” Journal of Industrial Information Integration, vol. 26, no. 9, p. 100289, 2022.
View at: Publisher Site | Google Scholar
X. Liu, J. Zhu, J. Guo, and C. Cui, “Changnan. Spatial association and explanation of China’s digital financial inclusion development based on the network analysis method,” Complexity, vol. 2021, p. 6649894, 2021.
View at: Google Scholar
L. Li, T. Qu, Y. Liu et al., “Sustainability assessment of intelligent manufacturing supported by digital twin,” IEEE Access, vol. 8, pp. 174988–175008, 2020.
View at: Publisher Site | Google Scholar
Y. Li, H. Long, and J. Ouyang, “Digital financial inclusion, spatial spillover, and household consumption: evidence from China,” Complexity, vol. 2022, p. 8240806, 2022.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2022 Zeyi Yu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies