Search

Green development is an important aspect of the new development concept, and innovation is an important driving force of green development. Based on the panel data of 277 cities from 2006 to 2019, this paper used the EBM-GLM model to calculate and decompose green total factor productivity and the multi-period DID model to test whether innovative city policies could promote green development. Furthermore, from the perspective of urban network externalities, this paper used the spatial DID model to analyze the spillover effects of pilot policies and explore the mechanism of the innovative city policy in the promotion of urban green development. The study found that: ① The construction of innovative pilot cities could significantly improve the level of urban green development and reduce pollutant emissions. ② The construction of innovative pilot cities could significantly advance urban green technology, but had no significant effect on the improvement of urban green technology efficiency. ③ Due to the existence of urban network externalities, the construction of innovative pilot cities could have a negative spillover effect on the green development level of neighboring cities. Furthermore, this negative spillover effect was mainly reflected in the green technology progress of neighboring cities, and the spillover effect on the green technology efficiency of neighboring cities was not significant. ④ The construction of innovative pilot cities could significantly improve the level of green urban development by improving the level of science and technology, enhancing the strength of financial support, and promoting the intermediary effect of industrial structure upgrading. To promote the development of innovative cities, it is necessary to pay attention to the importance of urban network externalities, strengthen the coordination of different green development transmission paths, and construct the green development system of innovative cities. [ABSTRACT FROM AUTHOR]

Promoting rural environmental planning is an important measure to optimize the allocation of spatial resources, balance economic development and ecological protection, and realize the green transformation of agriculture and rural areas. It is a specific starting point to address the current problems that are hindering increasing farmers′ income, and agricultural development and rural stability, in order to realize the coordinated development of living, ecological, and agricultural environments. It is also an inevitable requirement for realizing the rural revitalization strategy and promoting the green and sustainable development of agriculture and rural areas. At present, rural development is subject to the drawbacks of the development of China ′ s urban-rural dual structure, in which long-term industrialization and urbanization have given rise to a series of significant problems, including rural aging, pollution, and emptying, and have become key bottlenecks to green sustainable development. Therefore, in order to achieve the necessary planning requirements, this paper deconstructs all elements of the current rural environmental planning process as a systematic overall plan, defines the development orientation and objectives of the current policy system, elucidates the basic connotation of rural environmental planning, and proposes a theoretical system of rural environmental planning, which includes agricultural, human settlement, and ecological environments. In the context of rural environmental planning alongside green development, our analysis identified problems and shortcomings in current practices, including a lack of connection between different types of rural environmental planning, a lack of scientific and technological innovation, and a lack of understanding with regards to new development concepts. To address these issues, problem-oriented corresponding solutions and management approaches are put forward to provide theoretical and policy support for the better construction of rural ecological environments and the realization of rural green development goals. [ABSTRACT FROM AUTHOR]

Green credit is an important financial tool to promote the transformation of the low-carbon economy. On the basis of clarifying the theoretical mechanism of the impact of green credit on carbon emission reduction, this paper used the fixed effect stochastic frontier model containing unexpected output to measure the total factor carbon productivity of 156 cities in China from 2000 to 2019 and empirically tested the carbon emission reduction effect of green credit and its mechanism from the three dimensions of productivity, intensity, and total amount. The research found that: ① Green credit development significantly improved total factor carbon productivity and reduced carbon emission intensity, but the average impact on total carbon emissions was not significant. The above conclusions were still valid after a series of robustness tests and treatments of endogeneity problems. ② The carbon emission reduction effect of green credit was heterogeneous due to differences in regional location, resource endowment, and financial efficiency. In the central region, non-resource-based cities, and cities with higher financial efficiency, green credit had significant carbon reduction effects in both carbon productivity and carbon intensity dimensions, while green credit in the eastern region, resource-based cities, and cities with lower financial efficiency only reduced carbon intensity. ③ The stimulation of green innovation and the reduction of energy intensity were the most effective channels for green credit to reduce carbon emissions, whereas the mediating effect of the structural transformation channel was not yet significant. Green credit was more effective in promoting green innovation and generating positive spillovers in the green innovation channel. However, green credits were more effective in improving carbon emission efficiency in the energy intensity channel, but the role of supporting low-carbon technologies must be enhanced. ④ Environmental regulations had two moderating mechanisms, 'positive compensation' and 'negative offset,' for the carbon reduction effect of green credit. When the demand and supply of financial resources were low, strengthening environmental regulations would weaken the incentive effect of green credit on low-carbon economic transformation. The above conclusion not only provides a new research perspective and supplementary empirical evidence for understanding the environmental effects of green credit, but also provides a useful reference for further improving green credit policies and promoting the development of a low-carbon economy. [ABSTRACT FROM AUTHOR]

Saving energy resources and reducing energy intensity are crucial to promoting China' s major strategic goals of reaching peak carbon emissions and achieving carbon neutrality, and are hence key to the promotion of green transformation and development in the new development stage. As an important practice, the policy of establishing pilot zones for green finance reform and innovations in China aims to promote green finance reform in depth, construct ecological civilization, and realize green economic transformation. Can the policy reduce energy intensity and contribute to energy conservation? What is its impact mechanism? There is a shortage of systematic analysis in academia on these issues. With panel data from Chinese cities from 2007 to 2020 and a generalized synthetic control method, this paper evaluated how the establishment of pilot zones for green finance reform and innovations affected energy intensity and analyzed its impact mechanisms. The results showed that: ① The implementation of the policy significantly reduced the energy intensity of the pilot zones, and the energy-saving effect exhibited 'policy first' and timeliness characteristics. ② The policy-induced energysaving effect was achieved by improving green innovation, easing financing constraints, optimizing industrial structure, and strengthening environmental governance. ③ The policy' s energy-saving effect was more remarkable in areas with better marketization and a higher education level. The findings suggest that the government should fully consider the differences in aspects such as institutional environment and resource endowment among varying regions, design distinct measures to attract more market players to participate in the green finance system oriented by energy efficiency improvement, energy structure transformation, and environmental governance, and create a much better market-oriented environment for green innovation and corporate financing. [ABSTRACT FROM AUTHOR]

It is of theoretical and practical significance to study the impact of mixed-ownership reform, the core measure of stateowned enterprise (SOE) reform, on the green innovation of SOEs. Using the data of SOEs listed in the China A-share stock market from 2010 to 2019, this study empirically tested the impact, mechanisms, and heterogeneous impact of mixed-ownership reform on the green innovation of SOEs through a Propensity Score Matching+Difference-in-Differences (PSM-DID) model based on the shareholding ratio of non-state-owned shareholders among the top ten shareholders of state-owned enterprises. On this basis, this paper further explored the spillover effect of mixed-ownership reform on the green innovation of SOEs. The results showed that: ① Mixed-ownership reform could effectively promote the green innovation of SOEs. After using the placebo test and instrumental variable method to alleviate the endogenous problem and replacing the matching basis for the robustness test, the conclusion was still valid. ② The mechanism test showed that the improvement of corporate governance level and the knowledge spillover effect were important channels for mixed ownership reform to promote the green innovation of SOEs. The profit-seeking nature of non-state-owned shareholders might have a dampening effect on the green innovation of SOEs in mixed-ownership reform. ③ The heterogeneity analysis of industry characteristics showed that in competitive industries and environmental protection industries, mixed-ownership reform had a more obvious impact on promoting the green innovation of SOEs. ④ Although the mixed-ownership reform promoted the green innovation of SOEs, it was not the higher the better in terms of the proportion of non-state-owned shareholders. When non-state-owned shareholders accounted for 15% to 30%, the promotion effect on the green innovation of SOEs was most obvious. ⑤ The mixed-ownership reform had a spillover effect on the green innovation of unreformed SOEs, effectively promoting the substantive green innovation of these SOEs in the same industry. Therefore, the study proposes that the important role of mixed-ownership reform in green development should be fully recognized and the mixed-ownership reform of SOEs should be further promoted. We should promote the formation of a mutually balanced equity structure and rationally allocate the proportion of non-state-owned capital. At the same time, we should avoid the ‘one-size-fits-all’ mixed-ownership reform and adhere to the classification and stratification of orderly progress. [ABSTRACT FROM AUTHOR]

Big data, a vital driving force of high-quality economic development in China, improves both the speed and efficiency of information exchange and knowledge dissemination. Existing studies have conducted a series of discussions on the dividend effect of big data development, but few have analyzed it from the perspective of corporate green development. Based on the theoretical analysis of the impact of big data development on the internal mechanisms of corporate green technology innovation and on the regulatory role of intellectual property protection, in light of the exogenous policy shock from the ‘National Big Data Comprehensive Pilot Zones,’ this paper studied the A-share listed companies in Shanghai and Shenzhen by adopting the difference-in-differences model (DID) to evaluate the impact of big data development on corporate green technology innovation and the moderating effect of intellectual property protection between them. The research results showed that the development of big data significantly promoted corporate green technology innovation, and that the conclusion still held after a series of robustness tests. Heterogeneity tests showed that the promoting effect of big data development on corporate green technology innovation was more observable in large-scale enterprises, state-owned businesses, and companies with high-level access to data from local governments. The mechanism test indicated that the development of big data could promote corporate green technology innovation by improving the intensity of regional environmental regulation, easing the financing constraints of enterprises, and improving their human capital level. The moderating effect test showed that intellectual property protection played a significant positive moderating role between big data development and corporate green technology innovation. Accordingly, the government should improve the big data development policies to promote deep integration of big data and the real economy in a consistent manner, reinforce the system design concerning corporate green technology innovation guided by policies of big data development, and combine big data development with green development goals such as achieving peak carbon emissions and carbon neutrality. Meanwhile, policies should be refined based on different types of enterprises in different regions so that a long-term mechanism can be established to support corporate green innovation development. It is also necessary to strengthen the construction of an intellectual property protection system so as to accelerate corporate green technology innovation and green development more effectively. [ABSTRACT FROM AUTHOR]

Faced with the high-quality demand for low-carbon and green development, we need to know if the construction of an intellectual property system (CIPS) can be a covert force to restrain the industrial pollution of Chinese cities. This paper regarded the establishment of intellectual property demonstration cities as a quasi-natural experiment. Based on explaining the impact mechanisms of CIPS on industrial emissions, this study adopted the panel data of 108 cities in the Yangtze River Economic Belt from 2003 to 2019 and empirically tested the emission reduction effect of CIPS and its mechanisms by using the difference-in-differences (DID) method. The heterogeneity, dynamic effects, and spatial spillover effects were also explored. The results showed that: ① At the urban level of the Yangtze River Economic Belt, the CIPS significantly reduced industrial pollution emissions, and the emission reduction effect kept in‑ creasing. This conclusion was still valid under a series of robustness tests, such as continuous DID and instrumental variable methods (IV). ② Heterogeneity analysis showed that the CIPS had good emission reduction performance in the upper, middle, and lower reaches of the Yangtze River and large and medium-sized cities, and the emission reduction effect was better in the upper reaches of the Yangtze River and large cities. The CIPS had more obvious inhibitory effects on water pollution and gas pollution than on soot pollution. ③ Spatial spillover effect analysis showed that the CIPS restrained the industrial pollution of the demonstration cities and their neigh‑ boring cities, the policy effect showed spatial spillover, and the indirect effect was greater than the direct effect. ④ Mechanism analysis showed that the CIPS could lead to urban industrial upgrading and allocation optimization through technological innovation, indirectly inhibit industrial pollution emissions, and directly promote industrial pollution control through green innovation. Based on this, this pa‑ per proposes to promote the CIPS, explore and implement differentiated intellectual property governance policies, and strengthen ex‑ changes and cooperation on intellectual property among cities, in order to drive the high-quality development of the Yangtze River Economic Belt through innovation. [ABSTRACT FROM AUTHOR]

In the context of China' s active construction of a multi-party environmental governance system, it is worth discussing how environmental regulation policies affect the market contractual relationship. In fact, government environmental regulation can trigger interactions between enterprises. When an enterprise gets environmental penalties such as fines and halts production, this enterprise will affect the customers, and the customers may adjust their buying strategies or replace this supplier in order to avoid risks. Given that environmental regulation will increase the risk of polluting enterprises and further affect the operation of downstream customers, this paper empirically tested the impact of environmental regulation on market contractual relationship based on the data of Chinese A-share listed companies from 2009 to 2019. We found that: ① The strengthening of environmental regulation on suppliers would cause the customers to reduce the purchase quantity; thus, environmental regulation could trigger a negative market response. ② Between 2015 and 2019, with the overall and long-term tightening of environmental regulation, enterprises usually increased investment and innovation in environmental protection, resulting in a weakening of the negative market response. ③ When customers had a green reputation or the suppliers belonged to a polluting industry, the customers' negative response was significantly stronger, but when the suppliers were state-owned enterprises, customers were no longer sensitive to their environmental risks. ④ Further analysis showed that environmental regulation affected customers' adjustment of purchase share through 'risk' mechanism and 'environmental governance' mechanism. This article reveals that the government environmental regulation will impact the market contractual relationship, which complements and enriches the relevant literature on environmental governance from the micro perspective, and makes a solid attempt to promote corporate environmental governance from the perspective of the supply chain. The policy implication of this article is that we should strengthen the fairness of the implementation of environmental regulation policies and encourage the development of green supply chains. The conclusion of the study has certain implications for further improving the government environmental regulation, motivating corporate environmental governance, and realizing the multi-party co-governance environmental governance system. [ABSTRACT FROM AUTHOR]

The system as a whole is composed of various interrelated sub-systems. The effect of a system will be affected by the coordination of other systems associated with it. Only when the complementarity and coordination between systems increase can the implementation effect of the system be fully brought into play. As an informal system, social trust can affect the implementation effect of formal environmental regulations, but there are few studies on the moderating effect of social trust on the impact of environmental regulations on carbon emissions. Based on this, the panel data of 281 prefecture-level cities in China from 2010 to 2019 were selected as research samples. The moderating effect model and mediated moderating effect model were used to study the moderating effect and mechanism of social trust on the impact of environmental regulations on carbon emissions. In addition, the heterogeneity of this moderating effect was tested by region. The results showed that: ① The impact of environmental regulations on carbon emissions showed an inverted Ushaped nonlinear relationship, and the promotion effect of environmental regulations on carbon emissions was dominant in the present stage. FDI, the upgrading of industrial structures, and R&D innovation were important mediating channels for environmental regulations to affect carbon emissions. ② As a moderating variable, social trust positively moderated the impact of environmental regulations on carbon emissions and accelerated the arrival of the inflection point of the inverted U-shaped curve. ③ In terms of the mediating effect, the moderating effect of social trust on the impact of environmental regulations on carbon emissions was realized through the mediating effect of FDI, the upgrading of industrial structures, and R&D innovation, and the impact of social trust on the inflection points of the three intermediary channels was heterogeneous. ④ The moderating effect of social trust had regional heterogeneity. In small cities, the impact of social trust on environmental regulations on carbon emissions was greater than that in large and medium-sized cities. The moderating effect of social trust was greater in the cities without environmental protection than in the cities with environmental protection. The above conclusions were still valid after a series of robustness tests. It is hoped that this paper can enrich the relevant research on environmental regulations and social trust and be helpful for local governments to formulate relevant policies according to local conditions, improve the carbon emission reduction effect of environmental regulation, and accelerate the green development and transformation of Chinese cities. [ABSTRACT FROM AUTHOR]

The innovative application of green credit policy as a means of financial regulation in the field of environmental governance is an important attempt to balance the relationship between environmental protection and economic development. It reshapes the credit financing environment of high-pollution enterprises, forces them to transform and upgrade, and arouses their enthusiasm for green development. At the same time, it can profoundly affect their ‘real-to-virtual’ transformation, that is, the financialization of real enterprises. Based on the wide application of the green credit policy and rapid development of the financial market, this paper selected the empirical data of A-share listed companies in China from 2008 to 2019, and used the DID method to test the differences in financialization between high-pollution enterprises and non-high-pollution enterprises before and after the implementation of the Green Credit Guidelines. Benchmark regression showed that, compared with non-high pollution enterprises, green credit policy significantly inhibited the finan‑ cialization of high-pollution enterprises. After a series of robustness tests such as the parallel trend test, the placebo test, and PSM-DID, the results were still valid. The mechanism test showed that, this benefited from the technological innovation promotion and agency cost reduction resulting from the green credit policy. Heterogeneity test further showed that the inhibition effect on the financialization of high-pollution enterprises varied with the nature of the property rights of these enterprises and the intensity of the enforcement of regional environmental laws. Compared with state-owned enterprises and enterprises in areas with weak environmental law enforcement, the inhibition effect on the financialization of enterprises was more obvious in non-state-owned enterprises and areas with strong environmental law enforcement. The result confirms the effectiveness of the application of green credit policy at the micro level, which could help policymakers evaluate the policy effect, formulate and implement the incentive and restraint mechanisms of green credit policy, as well as remind the high-pollution enterprises of the importance of strengthening technological innovation, seeking green transformation, and rationally investing in financial assets. [ABSTRACT FROM AUTHOR]

Urban agglomerations are spatial combinations of cities and the main spatial carrier for China to promote new urbanization and implement the concept of green development. Does their polycentricity help to improve the efficiency of regional green development and achieve coordinated development? This paper used satellite-monitored night light data to identify the polycentricity of each urban agglomeration in China, and used three major pollution emission indicators as undesired outputs respectively to calculate the Malmquist-Luenberger dynamic decomposition index and to examine the dynamic changes of the green development efficiency of urban agglomerations and their member cities. Based on the panel data of 14 key urban agglomerations from 2004 to 2018 to study the impact of polycentricity on the green development efficiency of member cities, this research found that: ① The polycentricity of urban agglomerations had a significant threshold effect on the green development efficiency of member cities, and the improvement of polycentricity could improve the green total factor productivity of eastern urban agglomerations, but it had a negative effect on central and western urban agglomerations. ② Polycentricity had an ‘inverted U-shaped’ influence on the urban agglomerations. The transmission mechanism found that the ‘inverted U-shaped’ influence was mainly achieved through knowledge spillover, technological innovation, and human capital. ③ The improvement of polycentricity had a negative effect on the green total factor productivity of medium sized cities, but a positive effect on the green total factor productivity of cities in the lower rank, and its effect gradually decreased with the fall of the city􀆳 s economic rank. After changing the polycentricity index, using topographic relief and data of railway opening in 1933 as instrumental variables, and using the panel Tobit model and panel threshold model, the results obtained were basically the same, which confirmed the robustness of the results. Therefore, at the present stage, with China's spatial distribution of urbanization focusing on the tradeoff between the development of big cities and small cities, the heterogeneity of spatial units should be comprehensively considered, and differential urban agglomeration policies should be formulated and implemented. [ABSTRACT FROM AUTHOR]

External financing is a key factor affecting the enterprises' green technology innovation. Based on the reference point theory, this paper has analyzed the relationship between external financing and green technology innovation with the fixed-effect threshold model of firm size. It is found out that firm size has significant threshold effects between green innovation and equity financing, debt financing as well as government subsidies. When firm size is below the threshold, the impacts of external financing towards green technology innovation are not significant, while there exists significant boost effect of external financing if firm size rise above threshold. Compared with private enterprises, the quantitative value of threshold is higher in state-owned enterprises, but the positive effects would be more intense if the firm size is within threshold. This paper can enrich the research of sci-tech finance, and can provide practical basis for manufacturing enterprises' innovative financing and green development. [ABSTRACT FROM AUTHOR]

As a major institutional innovation in the practice of the green development concept, the energy‑consuming transaction system is a major measure to promote the reform of the ecological civilization system. The implementation of the energy‑consuming transaction system is important for improving energy utilization efficiency and achieving ‘dual control’ of energy consumption and intensity. Using the energy‑consuming transaction system pilots as an entry point, and based on the panel data from 30 provinces in China from 2006 to 2019, this paper used the difference‑in‑differences method to examine the impact and mechanism of energy‑consuming transaction system on energy efficiency. The research results showed that the energy‑consuming transaction system could significantly improve energy utilization efficiency. Specifically, it could reduce the energy consumption per unit of GDP in the pilot provinces by 5.78%. The mechanism test showed that the energy‑consuming transaction system mainly improved energy utilization efficiency by promoting green technology innovation. Heterogeneity analysis showed that the energy‑consuming transaction system would have a diminishing effect on energy utilization efficiency along with the energy saving potential. The energy ‑consuming transaction system could play a significant role in promoting the energy utilization efficiency of Henan and Sichuan, while the impact on Zhejiang and Fujian was not significant. In addition, this article also found that the energy‑consuming transaction system had environmental dividends, which could effectively reduce sulfur dioxide and carbon dioxide emissions while promoting energy efficiency. After parallel trend test, structural breakpoint test, PSM‑DID, placebo test, and other robustness tests, the conclusion of this article was still valid. This study has the following implications: In the process of building the energy‑consuming transaction market, it is necessary to promptly summarize the pilot experience, gradually expand the piloting scope, constantly improve the regulatory mechanism to reduce institutional transaction costs, promote efficient energy allocation and rational use, and at the same time, adhere to local conditions and set out to formulate and implement supporting measures for energy‑consuming transactions with local characteristics. [ABSTRACT FROM AUTHOR]

With the trend of green development of natural gas industry, the quality of natural gas products is upgrading rapidly. Thus the level of analysis technology of total sulfur content as a key indicator needs to be improved to meet the production demand of online monitoring. Based on the extensive investigation and analysis of the development trend of natural gas industry and technical indicator s, this paper introduces the international standardization research results of total sulfur detection technology, and carries out the experimental research on the detection limit, repeatability and consistency of three on-line detect ion methods of total sulfur (GC-μTCD, GC-IMS, GC-FPD). The results show that the three methods are applicable to detect total sulfur in natural gas, which provides the foundation for the selection and optimiziltion of the on-line analysis method of total sulfur in the future. Finally, it is pointed out that the realization of online detection of total sulfur in natural gas is the trend of future development. Tn the next step, we will continue to c<1rry out on line total sulfur detection by chromatography technology and take part in the international standardization, in order to further establish China's leading position in this field, and provide technical support and standardation guarantee for the green development of natural gas. [ABSTRACT FROM AUTHOR]

BACKGROUND:Under the background of coordinated development of resources, environment and economy, the development of green mining has become a national strategic focus and has been widely recognized. Environmental investigation and evaluation is one of the main content in investigation and assessment of large lithium metallic mineral bases in Sichuan Province, which will play an important role in solving the bottleneck problems, such as prospecting deployment and environmental protection in the ecologically fragile district of the Western Sichuan Plateau. OBJECTIVES:To put forward the green investigation method and to establish an index system of environmental evaluation and demonstration of typical mining areas. METHODS:Green investigation and environmental assessment were combined, an indicator framework in four levels was constructed, and the status quo and change information of the ecological environment through 3S technology were extracted. Based on three years of surface water, soil and other multi-environmental media field survey and analysis data, a mature evaluation method has been optimized, and a large-scale lithium resource base environment evaluation model based on support vector machine was established by using a more compatible and scalable Python language programming. RESULTS:Using this model, the current status of large-scale bases was divided into four categories:environmentally poor areas, general environmental areas, better environmental areas, and good environmental areas. The overall accuracy rate was 97.77%. CONCLUSIONS:The set of a targeted evaluation index system established and reported on in this paper effectively evaluates the environmental status of large-scale lithium resource bases in Western Sichuan, and realizes the visual level of ‘pixel-level’ environmental status of large-scale lithium resource bases through technological innovation. The method objectively reflects the development and environmental impacts of the Jiajika mining area and surrounding resources, and to a certain extent, can assist in regulating the management and decision-making of the development and utilization of large-scale mineral resources. [ABSTRACT FROM AUTHOR]

The green development of industry is of great significance to the construction of industrial system that is efficient, low- cost, green and circular development, and to the realization of sustainable economic development. This paper constructs the comprehensive evaluation index system of the green development of industry in Guangdong province from three dimensions of industrial green growth, resource and environmental carrying capacity and government policy support, using the entropy method, measures the comprehensive levels of Guangdong province and its respective cities from 2005 to 2015, and uses the exploratory spatial data analysis method to analyze the spatial correlation characteristics of the green development of industry of the cities in Guangdong province, on the basis of the spatial error model, discusses the influencing factors of industry ecology in Guangdong province. The results show that: (1) On the whole, the comprehensive level of the green development of industry in Guangdong province presents a sustainable growth trend. (2) From the perspective of spatial distribution, the overall spatial pattern of the Pearl River Delta presents a structure of "Core-edge", with the Pearl River Delta as the core and the peripheral areas of the Pearl River Delta as the edge. (3) From the perspective of spatial evolution, the spatial differences of the green development of industry in the cities of Guangdong province are slightly enlarged from 2005 to 2015, but the overall pattern remains relatively stable. (4) From the perspective of spatial correlation characteristics, the agglomeration pattern of the spatial distribution of the green development of industry in the cities of Guangdong province is stable. The cities in the Pearl River Delta present high- high agglomeration phenomenon, while some cities in the eastern and mountainous areas of the peripheral areas present low- low agglomeration phenomenon. (5) Globalization, marketization, residents' income level, government regulation, as well as science and technology level all have a significant influence on the green development of industry in Guangdong province, while the influence of urbanization is not significant. [ABSTRACT FROM AUTHOR]