The Culture of Sustainable Governance for Green Economic Development

It is of great significance to analyze coupling coordination feature between urban spatial functional division (USFD) and green economic development for the realization of regional high-quality sustainable development. However, few studies have investigated the coupling between USFD and green economic development. Therefore, based on the analysis of the coupling and coordination mechanism between USFD and green development, this paper innovatively calculates the indicators of USFD and green economic development of 108 cities in the Yangtze River Economic Belt (YREB) from 2009 to 2019. Moreover, we explore the spatiotemporal patterns, evolution characteristics of the coupling degree between the USFD and green economic development using the improved entropy method, coupling model, kernel density estimation and spatial autocorrelation method, and further analyzes the influence factors with the Tobit regression method. The study found that: 1) During the study period, the development level of USFD and green economy in the YREB showed a fluctuating upward trend, but the development level was still low and there was a large space for improvement. 2) During the study period, the coupling coordination degree of USFD and green economy development in the YREB shows a favorable development trend of fluctuating growth, but it is still in the stage of moderate coupling and coordination development. The coupling degree shows a trend of polarization and the phenomenon of “high-value difference and low-value convergence” over time. 3) The spatial distribution of coupling coordination degree in each region is obviously different, and the middle and lower reaches are significantly higher than the upper reaches, and there are “club convergence” phenomenon and obvious H-H and L-L spatial agglomeration characteristics. 4) Technological innovation, industrial structure and physical capital have a significant positive impact on the coupling degree of the two systems, while human capital has a restraining effect on the growth of the coupling degree. There is heterogeneity in the extent and direction of the influence of each factor on the degree of coupling between the three agglomerations. These findings have significant policy implications for the region to facilitate rational division of labor and coordinated development of the green economy.

Green technological innovation is one of the endogenous drivers of green economic growth, and digitalization can promote green economic development in the form of industrial empowerment. The interactive relationship and the degree of influence between digitalization, technological innovation, and green economic development is thus an urgent issue to be addressed. Based on the panel data of 30 Chinese provinces from 2011 to 2019, we measured digitalization, technological innovation, and green economic development for the first time using the entropy method and included them in the same analytical framework by constructing a PVAR model to empirically test their interrelationship and degree of influence. Our findings suggest that: (1) There is an inertial development and self-reinforcing mechanism among the three variables. (2) The impact of digitalization on green economic development has a positive promotion effect, while the impact of technological innovation on green economic development is not significant. (3) The impact of green economic development on technological innovation has a positive promotion effect in the short term, but this effect gradually declines and tends to zero in the long term. Finally, based on the findings, several practical suggestions are made.

BackgroundGreen economic development refers to reducing pollution emissions and increasing production efficiency while promoting economic growth. Although the renewable energy consumption is “green,” it may not promote green economic development due to the constraints of existing technical conditions. Therefore, the technological advancement approach that can help coordinate the relationship between renewable energy consumption and green economic development should be identified. That is, determining whether to develop new technologies or improve existing technologies should be paid more attention in the context of continuous increase in renewable energy consumption.Results(1) The inverted N-shaped relationship between renewable energy consumption and green economic development under the existing technical conditions. The degree of renewable energy consumption can merely promote green economic development in the interval of 0.67–10.87. That is, the renewable energy consumption (% of total energy consumption) is less than 0.67% or greater than 10.87%, which is not conducive to green economic development. (2) Developing new technologies can stimulate the positive effect of renewable energy consumption on green economic development. However, the improvement of existing technologies fails to exhibit an effective impact on the relationship between renewable energy consumption and green economic development. (3) Coordinating the relationship between renewable energy consumption and green economic development can also be achieved by reducing the dependence of Gross Domestic Product (GDP) on fossil fuels. (4) The stage of economic development might impact the effect of renewable energy on green economic development.ConclusionsIt is particularly important to improve technological innovation capabilities, especially in countries with a high proportion of renewable energy consumption. In addition, the government should guide the funds and resources to the renewable energy industry through the credit rationing system to promote the transition of the industrial structure to an environmentally friendly direction. For countries with relatively low levels of economic development, this does not mean that these countries should reduce their demand for renewable energy. Instead, these countries need to take more proactive measures, such as increasing technological innovation capabilities and optimizing industrial structure to coordinate the relationship between renewable energy consumption and green economic development.

Green development has recently become the theme of global economic development. Focusing on green development, this paper uses China’s interprovincial panel data from 2003–2022 to construct a spatial Durbin model to study the impact of the allocation of financial resources between the virtual economy and the real economy on green development. The findings are as follows: (1) The “virtual and real” allocation of financial resources has a significant effect on the green development of the economy; on the whole, the increase in financial resources in the virtual economy reduces the quality of green economic development. (2) The “virtual and real” allocation of financial resources has an obvious spatial spillover effect on green economic development; the increase in financial resources flowing into the virtual economy in one province (city) reduces the proportion of financial resources flowing into the virtual economy in neighboring provinces, which is conducive to the green economic development of the neighboring provinces. (3) Due to the differences in economic structure, industrial structure, and financial development level among provinces and regions, the “virtual and real” allocation of financial resources has a significant effect on the green economic development of central, eastern, and western China.

As a special category of investment, environmental protection investment can provide important funds and technological support for a region, achieve green production, and promote green development. This article uses a benchmark regression model based on panel data from 30 provinces in China from 2007 to 2020 to analyze the impact of environmental protection investment on the level of green development. It specifically examines the effects of urban environmental infrastructure investment, industrial pollution control investment, and completion of environmental protection acceptance projects on the level of green development. It also explores how different regions can make use of environmental protection investment according to local conditions. Additionally, due to the spatial spillover effect of environmental protection investment, this article introduces the spatial Durbin model to study the spillover effects. Furthermore, in order to effectively promote green economic development through environmental protection investment, it is necessary to upgrade the industrial structure. Therefore, this article also uses the mediation effect model to explore the relationship between environmental protection investment, industrial structure upgrading, and the level of green development. The research findings are as follows: 1) environmental protection investment can promote the development of green level; 2) the various components of environmental protection investment have different effects on the level of green development. Urban environmental infrastructure investment has a promoting effect on the level of green economic development, while industrial pollution control investment and completion of environmental protection acceptance projects have a restraining effect; 3) environmental protection investment has a positive spillover effect in spatial terms, promoting the green development of surrounding areas while driving the local green development level; 4) as an important driving force for promoting green economic development, environmental protection investment relies on the support of industrial structure upgrading, and further optimization and upgrading of the industrial structure can achieve green economic development. Based on these findings, this article proposes that each region should increase environmental protection investment, implement the concept of green development, and leverage the positive impact of each component of environmental protection investment on local green development according to local conditions. At the same time, each region should also pay attention to the role of industrial structure upgrading and make rational use of environmental protection investment to promote green development.

Of all the countries presently industrializing, both going green and going smart ideas can be likened to green development, in that they are helping to address or identify new routes out of environment and development conflicts. Environmental pollution issues loom large for China, and the scale of its transformation makes its proposed solutions of widespread interest. China has begun to decouple some environmental pressure from economic growth, and an innovation-driven strategy is proposed to deal with the synergic development between the economy and environment. Considering both positive and negative effects of the innovation-driven strategy on green economic development, the aim of this paper is to find out the influence path and mechanism of policies and measures of the innovation strategy on green economic development, through the empirical analysis of panel data of 47 pilot smart cities in China from 2009 to 2017. The results show that the innovation-driven strategy has a positive effect on green development, while different innovation-driven indicators play different roles in the promotion of economic green development. Practically, this research provides a decision-making reference for sustainable development policy formulation in developing countries, especially in emerging economies.

By organically combining principal component analysis, spatial autocorrelation algorithm and two-dimensional graph theory clustering algorithm, the comprehensive evaluation model of regional green economy is explored and established. Based on the evaluation index system of regional green economy, this paper evaluates the development of regional green economy comprehensively by using principal component analysis, and evaluates the competitive advantage of green economy and analyzes the spatial autocorrelation based on the evaluation results. Finally, the green economy and local index score as observed values, by using the method of two-dimensional graph clustering analysis of spatial clustering. In view of the fuzzy k –modes cluster membership degree measure method without considering the defects of the spatial distribution of object, double the distance and density measurement of measure method is introduced into the fuzzy algorithm of k –modes, thus in a more reasonable way to update the membership degree of the object. Vote, MUSH-ROOM and ZOO data sets in UCI machine learning library were used for testing, and the F value of the improved algorithm was better than that of the previous one, indicating that the improved algorithm had good clustering effect. Finally, the improved algorithm is applied to the spatial data collected from Baidu Map to cluster, and a good clustering result is obtained, which shows the feasibility and effectiveness of the algorithm applied to spatial data. Results show that the development of green economy using the analysis method of combining quantitative analysis and qualitative analysis, explores the connotation of green economy with space evaluation model is feasible, small make up for the qualitative analysis of the green economy in the past, can objective system to reflect the regional green economic development level, will help policy makers scientific formulating regional economic development strategy, green integrated development of regional green economy from the macroscopic Angle, the development of network system.

IntroductionMeasuring the coupling coordination degree between the innovation factor allocation system and the green economy development system, and deeply exploring the changing trends in the coupling coordination between innovation factors allocation, including their subsystems, and green economy development, are essential prerequisites for achieving a high degree of coupling coordination between the two systems.MethodsThis paper, based on panel data from 30 provincial regions in China from 2013 to 2022, measures the coupling coordination degree between innovation factor allocation and green economy development, including their subsystems, and explores the spatial differentiation characteristics of this coupling coordination across the provinces in China and its three major regions. First, an evaluation index system for the innovation factor allocation system and the green economy development system is constructed from both input and output perspectives. The entropy weighted TOPSIS method and the coupling coordination degree model are then employed to explore the temporal characteristics of the coupling coordination between innovation factor allocation and green economy development. Second, Dagum's Gini coefficient is used to reveal the directional distribution of coupling coordination and the sources of spatial disparities. Third, kernel density estimation and spatial Markov chain methods are applied to uncover the dynamic evolution of this coupling coordination.Results and discussionThe study finds that the overall coupling coordination degree between innovation factor allocation and green economy development in China is relatively low, but it exhibits a continuous upward trend. From the perspective of regional disparities, the coupling level between innovation factor allocation and green economy development across Chinese provinces shows an imbalanced spatial distribution, characterized by higher levels in the east and lower levels in the west, with spatial disparities tending to widen. Inter-regional differences are the primary source of these spatial disparities, followed by intra-regional differences. While internal disparities within Eastern China are narrowing, they are expanding within the Central and Western China. The development processes in these regions are often influenced by neighboring spatial spillover effects. Finally, recommendations are proposed to enhance the coupling coordination degree between innovation factor allocation and green economy development in China.

Green development is a crucial tactic for attaining sustainable development since, in the setting of the world economy's rapid expansion, environmental challenges are playing a bigger role in human development. Since the advent of the digital era, green economic development and digital technology have been progressively integrated. It is not only important to save the environment and maintain ecological balance, but it's also a crucial step in advancing economic modernization and transformation and attaining sustainable development. It is a significant factor propelling China's economic expansion. China, with the second largest economy in the world, needs to promote a green economy to support long-term development goals. The importance of the digital economy on green development is examined in this research. Through literature review methods, this article investigates how the digital economy can improve resource efficiency and reduce energy consumption and emissions through technological innovation and management optimization. The study found that the digital economy significantly contributes to the green development of various industries, but it also faces challenges such as increasing energy consumption and data security. In the future, to create a situation where the economy and the environment benefit from each other, it will be required to further integrate the digital economy with green development, foster technological innovation, and enhance the legislative framework.

Regional green development can commendably abide by the theory of dissipative structure. The relative dissipative characteristics taken on by regional development are analyzed, in which the energy factors and resources factors are incorporated into the green economic development and green environment support subsystems (2GE system) in line with the definite input characteristics. A more representative indicator system is established, with positive and negative entropy indexes involved. As Brusselator model and information entropy method are employed to calculate the data of 30 China’s provinces from 2008 to 2015, the findings bespeak that green development in China lays particular stress on green economic development assuming higher environment pressure and cost. The development among various regions is getting progressively and evidently different, which is manifested as potent economic base and abundant natural resources in the Eastern China; the backward green economic development and the progress of green environment in Central China; the pursuit of green economic development at the expense of the green environment in Western China and Northeastern China.

Accurately assessing the impact of low-carbon urban construction on green economic development has great significance for achieving economic development with environmental protection, and for building an ecological civilization and a beautiful China. Based on panel data for 271 cities in China from 2004 to 2019, multi-period and spatial difference-in-difference econometric models were used to comprehensively investigate the impact of three batches of low-carbon city pilot policies on green economic development, finding the following: The contribution of low-carbon urban construction on urban green economic development is significant and positive, and still holds under a series of robustness tests. Parallel trend tests also show a lag in the policy effect, and the effect is strengthened over policy implementation time. Green orientation of technological progress, green transformation of industry, and green upgrade of consumption are important channels for the effect of the policies. The promotion effect of low-carbon city construction is stronger in the central and northern cities, and in cities with high green economic development, than in western and southern cities, and those with low green economic development. Construction of low-carbon pilot cities not only promotes their own green economic development, but also that in neighboring cities, exerting a demonstration effect. This effect is greater in urban areas. This study provides empirical support for policy planning to promote low-carbon urban construction across the country.

BackgroundOptimizing the energy consumption structure (ECS) is conducive to promoting the efficiency and quality of regional green economic development (GED). This paper discusses the current situation of green economic development (GED) in China and how optimizing the energy consumption structure (ECS) can promote green economic development (GED).MethodsA systematic literature search (from January 2013 to July 2024) was conducted using the keywords “green economic development” and “energy consumption structure” in the following databases: Web of Science, Embase, Science Direct, and PubMed. In this paper, the entropy method was used to measure the GED indicator system, Arcgis drawing was applied to show the current status of GED development, and the theme of this paper was investigated by constructing the basic regression model, Spatial Durbin model, mediating effect model, and moderating effect model. Two researchers independently screened and extracted data.ResultsThe analysis of empirical tests in 30 provinces yielded the following results: The overall development of China’s GED shows a fluctuating upward trend. However, there is a regional development imbalance, and the development level of the eastern region is significantly higher than that of the central and western regions. The optimization of ECS contributes significantly to the improvement of GED. And the effect of optimizing ECS on GED has an apparent spatial spillover effect. The optimization of ECS in neighboring regions also promotes the increase of GED in the region, and this feature is more obvious in the central and western regions. The spatial effect of ECS optimization on GED is shown as Central Region > Western Region > Eastern Region. The total effect of the upgrading of the energy consumption structure and its impact on surrounding areas is shown in the following regions: Western region > Central region > Eastern region. The analysis of the mechanism effect shows that upgrading industrial structure is the main mechanism for optimizing ECS on GED.DiscussionThe results show that the optimization and upgrading of ECS is the driving force behind the development of GED, and that there is a need to break down barriers between regions to promote the common development of GED, as well as to play a role in the mechanism of industrial structure.

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.

Green economic development is an inevitable trend of social progress. The target of “carbon neutrality” can’t be achieved simply by conserving energy and reducing emissions, but needs to realize a higher-level development under the “low carbon” threshold. As the key and essence of national development, how to give a full play to the economic function and achieve green economic development is not only a realistic requirement of social high-quality development but also an indispensable important component of green economic development. This paper studied the concept of “carbon neutrality” and green economy, the necessity of green economic development, the merit of realizing green economic development under the background of “carbon neutrality”, and the development path of green economy under the carbon neutrality target, in order to provide some reference for China’s green economic development.

In recent years, the Party and State have paid great attention to promoting green economy, circular economy and sustainable development. Thereby, many policies have been issued to orient economic development towards sustainability, environmental protection, climate change adaptation, improving investment quality and efficiency, and focusing on attracting high-quality projects. However, in reality in Vietnam, the trend of green economic development is only at the starting point, the green economic development process is still lacking in synchronization and facing barriers in terms of capital, human resources, science and technology resources... In the face of environmental and social consequences, from developing the brown economy, countries have gradually shifted to a green economy - an economy that cares about happiness, social justice and the environment in addition to economic goals. Vietnam is no exception to this trend. Green economic development has been of interest to the Party and the State since the early years of the Doi Moi period and has achieved certain successes. However, the construction of a green economy in Vietnam still faces many limitations due to many reasons, such as: lack of capital resources, labor quality, science and technology level not meeting requirements... This poses synchronous and long-term solutions with each specific step towards a green economy. The article reflects the current situation and solutions for green economic development in Vietnam. Keywords: Sustainability, Green Economy, Digital Transformation.