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This paper aims to research the relationship between income gap (IG) and green economic growth based on the perspective of economic inequality.

Based on the panel data of 283 prefecture-level cities in China from 2011 to 2020, this paper uses the super slack based model (Super-SBM) to measure the efficiency of regional green economic growth, and constructs a regression model of the IG and regional green economic growth.

Firstly, the IG has an inhibitory effect on the growth of regional green economy (GE). Secondly, the relationship between the IG and regional green economic growth will be affected by the threshold value of income level. Thirdly, environmental regulation and government competition will increase the inhibitory effect of the IG.

According to the characteristics of China's regional economy, the researchers construct an empirical model of the IG and green economic growth to study their relationship, the threshold effect of income level and the moderating effect of environmental regulation and local government competition. The research content, methods and conclusions of this paper provide new evidence for the sustainable growth of China's regional GE.

This study uses data from the Chinese banking sector to explore the relationship between green credit and risk-taking in commercial banks. It also examines whether the level of regional green development acts as a moderator regarding this relationship.

Using a dataset composed of annual observations from 57 Chinese commercial banks between 2008 and 2021, this study employs both piecewise and curvilinear models.

Our results indicate that when the scale of green credit is low (<0.164), it increases the risk-taking of commercial banks. Conversely, when the scale of green credit is high (>0.164), it reduces the risk-taking of commercial banks. Moreover, this nonlinear relationship impact exhibits bank heterogeneity. Furthermore, the results show that the level of regional green development and local government policy support negatively moderate the relationship between green credit and commercial bank risk-taking. Furthermore, we find that green credit can directly enhance the net interest margin of commercial banks.

This study is the first to provide evidence of a nonlinear relationship between green credit and risk-taking in commercial banks, and it identifies the significant roles of regional green development level and local government policy support in the Chinese context.

The purpose of this paper is to analyze the influence of the green talent dividend on China’s economic growth and regional differences using a theoretical derivation of the Cobb–Douglas production function.

This study develops a measurement model with human capital based on Chinese inter-provincial panel data for 2001–2017, and analyzes the influences on economic growth of employees’ education level, per capita material capital, green labor participation rate and green jobs. The study explores the impact of the green talent dividend on regional economic growth for different regions.

Employees’ education level, per capita material capital, green labor participation rate and green jobs promote China’s economic growth. The dependency ratio hinders economic growth. The green labor participation rate impacts economic growth more than green jobs do. Furthermore, the scale of green talent in China and its dividend effect are regionally unbalanced. Therefore, to fully release the dividend of green talent, the green labor participation rate should be improved to promote the rational flow of talent among regions.

These findings shed light on the talent dividend, provide a theoretical basis for the formulation of relevant talent policies, and show that the demographic dividend can be transformed into the green talent dividend, which has practical significance for the sustainable development of China’s economy given its aging population.

This study provides a macro perspective on the green talent dividend’s impact on economic growth. The Cobb–Douglas production function in this study differs from the traditional micro perspective on green labor.

This study aims to propose a refined dynamic network slacks-based measure (DNSBM) to evaluate the efficiency of China's regional green innovation system which consists of basic research, applied research and commercialization stages and explore the influencing factors of the stage efficiency.

A two-step procedure is employed. The first step proposes an improved DNSBM model with flexible settings of stages' input or output efficiency and uses second order cone programming (SOCP) to solve the non-linear problem. In the second step, least absolute shrinkage and selection operator (LASSO) and Tobit models are used to explore the influencing factors of the stage efficiency. Global Dynamic Malmquist Productivity Index (GDMPI) and Dagum Gini coefficient decomposition method are introduced for further discussion of the productivity change and regional differences.

On average, Chinese provincial green innovation efficiency should be improved by 24.11% to become efficient. The commercialization stage outperforms the stages of basic research and applied research. Comparisons between the proposed model and input-oriented, output-oriented and non-oriented DNSBM models show that the proposed model is more advanced because it allows some stages to have output-oriented model characteristics while the other stages have input-oriented model characteristics. The examination of the influencing factors reveals that the three stages of the green innovation system have quite diverse influencing factors. Further discussion reveals that Chinese green innovation productivity has increased by 39.85%, which is driven mainly by technology progress, and the increasing tendency of regional differences between northern and southern China should be paid attention to.

This study proposes an improved dynamic three-stage slacks-based measure (SBM) model that allows calculating output efficiency in some stages and input efficiency in the other stages with the application of SOCP approach. In order to capture productivity change, this study develops a GDMPI based on the DNSBM model. In practice, the efficiency of regional green innovation in China and the factors that influence each stage are examined.

This paper aims to analyze the spatiotemporal heterogeneity of regional total factor productivity (TFP) growth and explores how haze pollution and different levels of new-type urbanization affect China’s economic growth.

This paper constructs an index for evaluating the TFP growth of China’s 31 provinces by integrating slack-based measures and the Global Malmquist (GM) productivity index. Meanwhile, the panel threshold estimation method is used to examine the complex relationships among haze pollution, new-type urbanization and TFP growth.

The results reflect conspicuous spatiotemporal heterogeneity in TFP growth in China. Interestingly, the influence of haze pollution on TFP growth is limited by the “critical mass” of new-type urbanization in China. When new-type urbanization does not cross the first threshold, haze pollution has a negative but non-significant effect on TFP growth. When new-type urbanization crosses the first threshold but not the second, haze pollution has a significant positive impact on TFP growth. When new-type urbanization crosses the second threshold, haze pollution significantly and positively affects TFP growth with the strongest positive effect.

This study innovates by combining haze pollution and TFP growth and proposing an integrated framework from the perspective of new-type urbanization, providing insight into how different degrees of new-type urbanization impact the mechanism between haze pollution and TFP growth. Using panel data in China and emphasizing green development, a sustainable economy and new-type urbanization, this study contributes to the current studies on haze pollution and economic development based on developed countries.

The study analyzes a survey of 372 businesses operating in the East Midlands and reveals the trends of engagement with green growth, demand for green skills development and pro-environmental business support. The findings confirm major differences in how large and small businesses engage with green growth and the challenges they face. Sectorial characteristics are of significance in growth trends and confirm manufacturing companies derive more turnover from the green products when compared to services. Manufacturing companies are also more proactive than services in integrating the green growth ambitions with the business strategy. Green skills and information gaps are major obstacles to business engagement with green growth. Business support agencies are urged to broaden the scope and availability of the pro-environmental enterprise support. Policy community is advised to develop support mechanisms that reduce skills and information gaps. A transformative approach to enterprise support is advocated in order to catalyze the contribution of the business community to sustainable regional development.

This study explores how to develop high-tech industries in Hunan province and enhance regional competitiveness. Through the comprehensive quantitative analysis of the development status of the high-tech industry in Hunan province, this paper provides a reference for the development of the high-tech industry in China and the world.

This study constructs a comprehensive evaluation index system of regional competitiveness in Hunan province from the five dimensions of innovation, coordination, green, openness and sharing of the “new development concept.” Through the screening and analysis of relevant economic indicators in Hunan province from 2011 to 2020, the principal component analysis method is used to measure the five development dimensions, verify the hypotheses in the study and finally draw the conclusion.

Hunan's high-tech industry is positively correlated with Hunan's regional innovation development competitiveness, regional coordinated development competitiveness, regional green development competitiveness, regional open development competitiveness and regional shared development competitiveness. Among them, the promotion effect on innovation development is the best, followed by the promotion effect on green development, coordinated development and shared development dimension. In contrast, the promotion effect on the open development dimension is relatively weak.

The statistical data selected in this study have certain timeliness. At the same time, the current economic environment is affected by the new corona pneumonia epidemic, showing specific particularity. In this context, it is bound to cause changes in the impact of high-tech industries on regional competitiveness. In addition, this paper studies the regional competitiveness of Hunan's high-tech industry from a macro perspective. Although relevant studies are conducted from five dimensions, there is a lack of micro-level research.

From five aspects of the new development concept, this study provides suggestions for developing high-tech industries in Hunan province and even China and the path to enhance regional competitiveness.

Up to now, no article measures regional competitiveness with the five development dimensions of new development: innovation, coordination, green, openness and sharing, and quantitatively analyses regional competitiveness on this basis.

The public‐university‐government triple helix for sustainable development has been proposed, through introducing a new element (public) into the triple helix model while retaining the balance between economic growth and eco‐system development (Etzkowitz and Zhou). This study aims to explore the future roles and influences of science and technology parks (STPs) on green growth in China, which is now releasing about six billion tons of CO₂ a year (Maplecroft) as GDP keeps over an 8 percent growth rate.

The regular research methodology in social sciences is taken including data collections, interviews, and some investigation to construct the theoretical conception and findings.

Economic growth and environmental sustainability are not in conflict, but are mutually promoting. The green growth approach seeks to create an economic framework which opens up increased opportunities for maximizing the eco‐efficiency, such as sharing and transferring knowledge and technologies for eco‐efficient production processes, for renewable resource use and for integrated natural resources management as well as for creating new job opportunities.

The theme of the paper lies in that a triple helix must be built in order to achieve sustainable development (green growth). The triple helix embodies a couple of objectives of the innovation for economic growth and sustainable development‐triple helix twin. Its most important practical implication is to balance economic growth and sustainability and achieve green growth. STPs' roles should be emphasized.

University‐public‐government triple helix for sustainability is a creative development of triple helix study, which is based on the study in university‐industry‐government triple helix for innovation. The paper uses the idea originally to explore how to get green growth in China though the roles of science parks.