Green Development Index Research Articles

The Study on the impact of clean energy development on green economy

Based on the data from 2010-2020 in China, the green economy development index evaluation system is constructed through three dimensions of social life, economic development situation and ecological environment, and the entropy value method is used to measure the level of green economy development, and the panel Tobit model is used for regression analysis. The study shows that clean energy has a significant promotion effect on the improvement of green economy; the per capita clean energy power generation, local financial general budget expenditure, and the value-added index of tertiary industry all show a positive promotion effect on the development of green economy; the daily treatment capacity of urban sewage, electricity consumption and the development of green economy all show an inverse relationship. Therefore, the country should accelerate the construction of energy modernization industrial system, improve people's clean energy usage, and then promote the development of green economy.

Does fiscal decentralization support green economy development? Evidence from China.

China, as the world's largest energy consumer, has made the green economy a central component of its economic development strategy. However, how to effectively play the government's crucial role in promoting the development of the green economy has become the focus of research by a significant number of economic experts. This paper uses the Super-SBM model to measure the green economy development index by introducing carbon dioxide emissions and industrial "three wastes" emissions and analyzes the relationship between fiscal decentralization, green technology innovation, and the green economy from the vantage point of local government behavior. It is discovered that fiscal decentralization significantly inhibits the development of the green economy, and local green technology innovation activities in the last period will amplify this negative impact. The above findings pass the robustness test. After introducing comparative analysis of economic growth indicators that are measured by the stochastic frontier analysis (SFA), the results show that only in the eastern region does fiscal decentralization both drive economic growth and do not inhibit green economy development by local government officials' political promotion motives and self-interested preferred expenditures, but overall economic promotion and green economy inhibition caused by fiscal decentralization exist simultaneously in the Yangtze River Economic Belt region, and significant heterogeneity differences exist in the rest of the regions. The findings suggest that regulating local government fiscal behavior and improving fiscal transparency are very important to promote the development of China's green economy.

基于主体功能区的长江经济带绿色发展评价与问题区域识别

PDF HTML阅读 XML下载 导出引用 引用提醒 基于主体功能区的长江经济带绿色发展评价与问题区域识别 DOI: 10.5846/stxb202204221098 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 中国科学院战略性先导科技专项（A类）（XDA23040504）；2022年江苏省研究生科研与实践创新计划项目（1812000024808） Green development evaluation and problem areas identification of the Yangtze River Economic Belt from the perspective of major function oriented zones Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:长江经济带已成为我国推进绿色发展的重要阵地。基于主体功能区视角，构建以水系统为纽带的长江经济带绿色发展评价指标体系，采用综合加权法、空间自相关、耦合协调度模型等方法探究2018年长江经济带130个城市绿色发展及各子系统耦合协调水平的空间格局，并对绿色发展的问题区域进行分类识别。结果表明：（1）长江经济带绿色发展水平呈由下游、中游至上游递减趋势；各主体功能区绿色发展指数表现为优化开发区 > 限制开发区 > 重点开发区。（2）绿色发展各子系统耦合协调度值位于0.365-0.656之间，多处于濒临失调和勉强协调的临界区间，耦合协调水平整体偏低。（3）从长江经济带整体来看，长江中上游地区绝大部分城市绿色发展主要受资源利用和产业发展水平偏低，及由此带来的生态和生活问题限制，且长江中上游地区各省会或直辖市对区域内其他城市绿色发展带动能力不足。从主体功能区视角来看，优化开发区以生态问题为主，仅上海和嘉兴两市；重点开发区以生态和生产问题为主，集中于武汉都市圈和成渝双城经济圈内部；限制开发区以生产和生活问题为主，主要位于省际边界型城市地区。最后综合问题识别结果，分别对长江经济带各主要问题区域绿色发展路径提出具体对策建议。 Abstract:The Yangtze River Economic Belt has become an important region for promoting green development in China. From the perspective of major function oriented zones, the green development evaluation index system of the Yangtze River Economic Belt with the water system as the link was constructed. The spatial pattern of green development and the level of coupling and coordination of each subsystem in 130 cities in the Yangtze River Economic Belt in 2018 was explored by using the comprehensive weighting method, spatial autocorrelation and coupling and coordination model, and the problem areas of green development were identified by classification. The results show that:1) the green development level of Yangtze River Economic Belt indicates a decreasing trend from downstream, midstream to upstream. The green development index of each major function oriented zone is shown as optimized development zone>restricted development zone>key development zone. 2) The value of coupling coordination of green development subsystems is between 0.365-0.656, which is mostly in the critical range of near disorder and barely coordinated, and the overall level of coupling coordination is low. 3) From the perspective of the Yangtze River Economic Belt as a whole, the green development of most cities in the middle and upper reaches of the Yangtze River is mainly limited by the low level of resource utilization and industrial development, and the consequently ecological and living problems. The ability of each provincial capital or municipality directly under the central government in the middle and upper reaches of the Yangtze River to drive the green development of other cities in the region is insufficient. From the perspective of major function oriented zones, the optimized development zones are dominated by ecological issues, with only Shanghai and Jiaxing; the key development zones are dominated by ecological and production issues, concentrated within the Wuhan metropolitan area and the Chengdu-Chongqing economic circle; and the restricted development zones are dominated by production and living issues, mainly located in inter-provincial border city areas. Finally, the problem identification results are integrated and specific countermeasures are proposed for the green development path of each major problem area in the Yangtze River Economic Belt respectively. 参考文献 相似文献 引证文献

Green finance and industrial pollution: Empirical research based on spatial perspective

Green finance is an important means to promote industrial pollution reduction. This paper uses the entropy method and the TOPSIS model to calculate the green finance development index and industrial pollution index of 30 provinces in China from 2011 to 2019, and further uses the panel regression model and SDM model to test the impact of green finance on industrial pollution. The study found that there is a significant positive spatial correlation between green finance and industrial pollution; At the same time, green finance generally inhibits industrial pollution. The effect decomposition results show that the former has a significant negative direct effect and spatial spillover effect on the latter.

The positive effect of green agriculture development on environmental optimization: Measurement and impact mechanism

According to the study of the environmental impact of green agricultural development, this paper selects 12 basic indicators from the three dimensions of “ecological agriculture, green production, and output benefits” for the construction of China’s green agricultural development index. There are eight basic indicators used in the construction of the environmental index system, including the area of nature reserves and the level of environmental protection expenditures. It is based on the panel data of 13 provinces in China from 2011 to 2019. For the calculation and analysis of the green agricultural development index and the environmental index, the entropy weight method is used. The calculation results show that there are significant differences in the development level of green agriculture and environmental development among these 13 major provinces; the green agriculture level and environmental development level of Jiangsu Province and Sichuan Province are in the leading position; further using dynamic panel regression, the results show that the development of green agriculture has a significant role in promoting the improvement of the environment, and in the early stage of green agriculture development, the effect of improving the environment is more obvious; the index of green agriculture development can be further divided into ecological agriculture index, green production index and output benefit index. As a result, the improvement of ecological agriculture, green production, and output benefits can contribute to the optimization of the ecological environment. As well, the development of green agriculture has some intermediary effects on the optimization of the environment. It is the intermediary effect of promoting environmental optimization through guiding residents’ green consumption that has the greatest effect, while the intermediary effect of promoting industrial structure upgrading and enterprise technology innovation has a relatively small effect. The empirical results presented in this paper suggest that a variety of measures can be taken to improve the environment, including improving green agriculture development in various regions, increasing government expenditures, and promoting the transformation of economic structures in order to improve the environment.

Green development level, resource utilization, and ecological protection across China from 2006 to 2017: Based on the national standard indicator system

Scientific assessment of green development is of great indicative significance for guiding national and provincial green transformation and deepening the process of ecological civilization in China. However, very few studies measure the degree of green development, including dimensions of resource utilization and ecological protection, using the national standard indicator system. Therefore, this paper has conducted a systematic study on evolving characteristics of green development level in China's provinces from 2006 to 2017, standing on the authoritative method of national green development index with a little debugging. The outcome indicates green development level in China's provinces are on the rise; on the whole, the difference of green development among the eastern, central, and western region still exist, but the green development level difference between the top ten developed provinces and bottom ten developing provinces has been reduced noticeably. In most provinces, resource utilization and the ecological protection level also show an increasing trend. Therefore, China should improve the entire level of the country's green development in a well-rounded way by promoting the provincial green development level in coordination.

Research on the temporal evolution track and influence of green development from 2010 to 2019.

This study aims to analyze the balance and coordination during green and sustainable development and estimates the evolution track of the green development system from 2010-2019. The projection pursuit model (PPM), as well as the system gray prediction model GM (1, N) and other measurement methods, were used to construct an evaluation system accounting for green fortune, growth, and benefits to analyze the temporal evolution, developmental trends, and influencing factors of the ecological engineering construction area in Baoshan, Yunnan Province. The results revealed a relatively good green development system, with an upward trend, an average growth rate of 18.3%, and a synergistic coupling effect among the three subsystems. Regional green development has achieved remarkable progress, but challenges and pressure among the three subsystems remain. The prediction analysis also showed that the green development index in Baoshan will continue to increase over the next two years, suggesting that the regional green development system is effective. Green development is primarily affected by environmental pollution, industrial structure, urbanization, population, market, and other factors from the three subsystems of ecology, economy, and social benefits. This study provides practical reference values for prompting regional ecological advancement and green development, along with regional support for the post-2020 Global Biodiversity Framework and the achievement of the United Nations Sustainable Development Goals.

Regional green development level and its spatial spillover effects: Empirical evidence from Hubei Province, China

• A regional green development index system is established based on the “driver-pressure-state-impact-response” model. • The level of regional green development in Hubei, China, is rising, and the gap between regions is narrowing. • The inter-regional spillover effect of green development is greater than the intra-regional spillover effect. • Technological innovation and the living environment have a positive spillover effect on green development. Green development strives to harmonize economic and social development with environmental protection. It is an innovative development model for people to follow in response to global climate change. This paper first combines the “driver-pressure-state-impact-response” (DPSIR) model with the entropy weighting method to measure the level of green development in Hubei Province from 2010 to 2018. Then, the spatial Durbin model (SDM) is used to analyse in depth the spatiotemporal evolutionary pattern and spatial spillover effects. The results indicate that after 2014, the levels of green development increased significantly and that regional differences gradually shrank. ρ = 0.409 indicates that the green development level has a positive spatial spillover effect, and the spillover effect between regions is greater than that within a region. The spatial spillover effects of the industrial structure and growth efficiency are −2.17 and −8.64, respectively, while the spatial spillover effects of technological innovation and the living environment are 7.35 and 0.32, respectively. Based on our findings, we provide several policy recommendations for developing countries to achieve green, coordinated and sustainable development.

Impact of Environmental Regulations on High-Quality Development of Energy: From the Perspective of Provincial Differences

Environmental regulation plays an important role in the green development of energy, and there are different classifications of environmental regulations in academic circles. This paper attempts to divide environmental regulation into “pure” formal environmental regulations and informal environmental regulations. By selecting the official statistical data samples of 30 provinces, autonomous regions and municipalities in China from 2005 to 2020, and by referring to the Malmquist productivity index method and the mediation effect model, we explore pure environmental regulations. By analyzing the influence mechanism of “pure” formal environmental regulations and informal environmental regulation on energy green development, it is concluded that: (1) Informal environmental regulations have direct and indirect roles in promoting the energy green development index. (2) There is a “U-shaped” relationship between “pure” formal environmental regulations and green energy development. Based on the above conclusions, relevant suggestions are put forward. At the same time, through this division of environmental regulations, on the one hand, it provides a basis for the government to accurately formulate environmental policies, and on the other hand, it provides strong support for the government to scientifically implement environmental policies.

Urbanization, green development and residents' happiness: The moderating role of environmental regulation

The fundamental goal of development is to continuously improve people's well-being. Studying the relationship between urbanization, green development and well-being can better promote people's happiness index. This paper matches the Chinese General Social Survey (CGSS)2017 data with the urbanization data of 28 provinces and the inter-provincial green development index and employs the Ordered Probit model to examine the relationship between urbanization, green development and residents' happiness (RHAP). On this basis, the mediating effect of green development and the moderating effect of environmental regulation intensity are further studied. The research results indicate that the level of economic urbanization and social service urbanization significantly promote the RHAP, while the level of population urbanization has a significant negative impact. There are significant differences in the level of RHAP needs due to the heterogeneity of regions, urban and rural areas, and income levels. The social service level has a stronger role in promoting the RHAP in eastern regions and cities, and the level of economic development is more obvious for residents in central and western regions and rural areas. Moreover, green development plays a partial mediating role in the relationship between urbanization and RHAP, and environmental regulation positively regulates the relationship between urbanization and green development. This study provides new ideas for the government to effectively formulate policies and improve RHAP.

The impact of green credit policy on enterprises' financing behavior: Evidence from Chinese heavily-polluting listed companies

The enterprise's financing response to the green credit policy is of great significance. It is related to whether green finance can successfully accelerate enterprises' technological upgrading and transformation. Based on Propensity Score Matching-Difference in Difference (PSM-DID) model, this paper studies the impact of green credit policy on financing behavior of the heavily-polluting listed companies in China from 2008 to 2020. The results show that the illiquid debt financing behavior of heavily-polluting enterprises has a clear downward trend since China's "Green Credit Guidelines" were implemented, while liquid debt and commercial credit, as alternative financing methods for enterprises, have increased significantly. Through further analysis, we found that state-owned enterprises (SOE) are more affected by green credit policy than non-state-owned enterprises (NSOE), and companies in regions with a lower green development index are more affected by green credit policy than companies in higher green developing regions. Although China's green credit policy has a certain inhibitory effect on the illiquid debts financing behavior of heavily-polluting enterprises, it has failed to allocate the capital flow effectively due to the firm-level alternative financing response to the green credit policy. From the managerial significance of the policy, the signal guidance of green finance needs to be strengthened for enterprises. • Explore the impact on financing behavior of green credit policy. • Green credit policy is effective in reducing the illiquid debt of heavily-polluting enterprises. • Green credit policy has led to an increase in alternative financing for enterprises. • Explore the impact of green credit policies on different green development index regions.

Inhibition or Promotion?-The Effect of Agricultural Insurance on Agricultural Green Development.

Based on China's provincial panel data from 2007 to 2019, this article discusses the impact of agricultural insurance on agricultural green development, and discusses the issue of regional heterogeneity. This article first studies the impact mechanism of agricultural insurance on agricultural green development, calculates the agricultural green development index, and empirically analyzes the impact of agricultural insurance on agricultural green development. The empirical results show that agricultural insurance has an inhibitory effect on agricultural green development, and that the impact of agricultural insurance on agricultural green development in the three functional areas is heterogeneous. Finally, it puts forward countermeasures and suggestions to build a low-carbon subsidy mechanism for agricultural insurance, enrich agricultural insurance products, improve the coverage of agricultural insurance, and build an agricultural production mode of internal planting and breeding combined with recycling through policy incentives.

The Coupling and Coordinated Development of Green Builds and Financial Development in China.

As a labor-intensive industry with a strong industrial driving force and high-technology integration, green buildings offer some comparative advantages. Driven by the concept of green development, green buildings are ushering in a period of opportunity for integrated development among multiple fields. Therefore, this research will select the panel data of the financial industry and the green buildings industry in 2014 and 2018, respectively, in 31 provinces in China (excluding Hong Kong, Macao and Taiwan) and, through the method of factor analysis, will innovatively construct a financial industry development index and a green building Development Index for each province in China. Through the coupling coordination model, it studies the development level of the financial industry and green buildings in various provinces, in order to deeply explore the path and mechanism of coordinated development between the two. The results show that the financial industry and green buildings in the eastern coastal areas have a high level of coupling, and the coupling and coordinated development have a greater degree of correlation. The potential for coupling and coordination in Central China is developing for the better, while volatility in the Northeast and Northwest regions is relatively large. From the time dimension angle, the degree of coupling and coordination between green buildings and the financial industry in China is generally low, and in the transitional stage, from the brink of unbalanced development to a primary stage of coordinated development. Accordingly, this paper proposes that local government should pay attention to the coordination relationship between green buildings and financial industry development and formulate a coordination mechanism between their growth according to local conditions, so as to promote the correct interactive advancement of the two.

Can China's carbon emissions trading scheme promote balanced green development? A consideration of efficiency and fairness

The carbon emission trading scheme (ETS) is an important market-based tool for achieving carbon neutrality. The existing research on the policy effect of ETS focuses on emission reduction effect and economic effect respectively. In view of this, based on the connotations of green development, we embed fairness toward the environment into the green development system to construct a balanced green development index to measure two dimensions, namely, efficiency and fairness. Theoretically understand the synergistic development effect of economic growth and ecological environment quality produced by the implementation of ETS, and analyze the impact of carbon market on balanced green development. A multiperiod difference-in-differences (DID) model explores the impact of China's carbon ETS on the green equilibrium level by using Chinese provincial panel data for the period 2008–2018. First, the results demonstrate that China's balanced green development level is weakly coordinated overall and there is a global spatial agglomeration effect. Second, the carbon ETS has significantly improved the level of balanced green development which promotes the degree of coordination between green economic growth and environmental fairness, offering an effective path that includes efficiency and fairness for green development. Third, there are regional differences in the impact of the carbon ETS on green equilibrium levels. The effect on the western region of China was significantly higher than that of the central and eastern regions of China. Compared with the existing research, the study breaks the single research perspective. From the perspective of efficiency and fairness, we propose improvements in the construction of a national unified carbon emissions trading market to strengthen the balanced green development. This paper provides a theoretical basis and policy reference for deepening China's green and high-quality development under the “carbon peaking and carbon neutrality” goal.

Comprehensive Evaluation and Spatial-Temporal Pattern of Green Development in Hunan Province, China

Hunan Province in China is in the initial stage of green development. Human activities and urban construction lead to ecological environmental problems. Based on the physical geography, environmental quality and socio-economic data from 2005 to 2020, this study established a green development evaluation system based on the DPSIR model by analyzing the logical relationship of green development in Hunan Province. In addition, we explored the change characteristics of the green development level, and evaluated the green development in Hunan Province from the time and space dimensions. The results showed that there are significant spatial differences in the green development level of counties in Hunan Province, showing a pattern of “strong in the east, weak in the central and western regions”. In addition, from 2005 to 2020, the county’s green development index showed agglomeration distribution. The driving forces and pressure systems have a significant role in promoting the green development of the county, while the state and impact systems also have a certain role in promoting the green development of the county. Based on the evolution mechanism of green development in Hunan Province, this paper studied the new green development evaluation system and proposed green development policy recommendations, aiming to provide a scientific basis for the construction of ecological civilization in the region.

Mitigating carbon emissions by accelerating green growth in China

This study empirically examines the carbon emissions effect of green development. The study first constructs a green development index and then examines the green development effect on carbon dioxide (CO2) emissions. In addition, it explores the asymmetric effect and transmission mechanism in the green development–CO2 nexus. The study mainly finds that (1) green development has achieved its preliminary objectives in China during the sample period; (2) green development has a negative correlation with CO2 emissions in China, implying that by accelerating the green transition, the economy can help mitigate the greenhouse effect; (3) CO2 emissions and their determinants have significant asymmetric effects; and (4) green development affects CO2 emissions by accelerating the economic development, improving energy efficiency, and facilitating the industrial transition. Finally, the study proposes a series of policy implications such as stronger energy technical innovation and faster industrial transition for better carbon emission reduction and green development.

The Spatial Correlation Between Green High-Quality Development and Technology Finance

Based on an analysis of the function of technology finance for green high-quality development, this paper selects 35 basic indicators from the five dimensions of innovation, coordination, greenness, openness, and sharing to construct an Green High-quality Development Index. Moreover, 14 basic indicators are selected from the three dimensions of technology finance resources level, technology finance input level, and technology finance output level to construct a technology finance development evaluation system. Then, using the entropy method, panel data from the period 2000–2020 from China’s 30 provinces was employed to assess the Economic Quality Development Index and the Technology Finance Development Index. The results show that provinces and cities with a good economic development level have a relatively high level of strong economic and technology finance development, including Beijing, Shanghai, and Jiangsu. Moreover, the results reveal a certain gap between different provinces. Multiple regression, static panel regression, dynamic panel regression, the static space Dubin model, the dynamic space Dubin model, and the semi-parametric space lag model were used to test the effect of technology finance on China’s green high-quality development. This study found that technology finance has significantly enhanced green high-quality development of China’s as a whole through a non-linear promotion effect. To better promote green high-quality development, the following measures are recommended: 1) improving the level of technological and financial development, 2) increasing the scale of government expenditures, 3) strengthening infrastructure construction, 4) accelerating the construction of new urbanization, and 5) improving the level of human capital.

Does green finance mitigate the effects of climate variability: role of renewable energy investment and infrastructure.

Few researches have inspected the task of green finance in reducing CO2 emissions, while earlier studies have inspected the influence of economic development on carbon emissions. A green finance development index is built using four indicators to fill in this knowledge gap: green credit, green insurance, green securities, and green investing. Using data spanning the years 2005–2019, a panel quantile regression is applied to investigate the links between green finance, renewable energy, and CO2 emissions. Increases in renewable energy use and advances in the green finance development index have contributed to a reduction in CO2 emissions from BRICS countries. CO2 emissions on the other hand slowed the growth of renewable energy use, slowed the flow of investment to green projects, and ultimately hampered the development of green finance. There was also a clear policy-driven influence on renewable energy spending in the countries of the BRICS region. Green finance policies, on the other hand, have consistently failed to have a long-term impact. Therefore, rising the consumption of renewable energy and creating a carbon trading market are all part of this study’s recommendations for green finance policy improvement.

Study on the Coupling Relationship between Environmental Quality and Green Financial Economy Based on the Grey Correlation Analysis Model

Since the reform and opening up, there has been a great demand vacancy in the market. The development of green finance can just meet many market demands. Let it stand out among many financing schemes. As an innovative financial model that can effectively promote the global economy, green finance is of great significance to the global ecological economy and environmental state. In this article, we will discuss the economic coupling relationship between environmental quality and green finance. Because we lack a relatively perfect economic evaluation system, therefore we integrate green finance and environmental quality indicators, introduce them into relevant and suitable evaluation system indicators, and mainly analyze and judge based on the grey relational analysis model. The results show the following: (1) investigate the environmental quality and green financial comprehensive benefit development index of A, B, and C cities, judge the lagging types of the three cities, and evaluate the specific development status of the cities. (2) Collect data and calculate the coupling degree and coordination degree of cities. Their coupling levels and coordination types are summarized, respectively. (3) The higher the correlation between urban environmental quality and green financial indicators, the closer the relationship between the two indicators and the greater the mutual influence. (4) Sort them by grey relational degree. The correlation between Y1 and Z3 is the least, which is 0.55 and 0.552, respectively. Y3 can be correlated up to 0.655. The results of this paper are very good, and we get the result that green finance can promote the effective improvement of environmental quality.

Whether Green Finance Can Effectively Moderate the Green Technology Innovation Effect of Heterogeneous Environmental Regulation.

As an essential way to promote ecological civilization, green finance is attracting wide attention. However, whether green finance can successfully regulate the green technology innovation effect of heterogeneous environmental regulations and boost green technology innovation in coordination with heterogeneous environmental regulations remains unclear. Based on the re-measurement of the green finance development index of various provinces and cities in China, this study uses the spatial Durbin model to test the above problems empirically. The results show that green finance and “market incentive” environmental regulations can promote regional green technology innovation, while “command and control” environmental regulations inhibit regional green technology innovation. Green finance plays a negative regulatory role in the mechanism of heterogeneous environmental regulations affecting green technology innovation. Green finance alleviates the negative impact of “command and control” environmental regulations on green technology innovation and weakens the positive impact of “market-incentive” environmental regulations on green technology innovation. In terms of spillover effects, green finance can effectively promote green technology innovation in neighboring regions, while heterogeneous environmental regulations have a crowding-out effect on green technology innovation in neighboring regions.