Would the Urban Environmental Legislation Realize the Porter Hypothesis? Empirical Evidence Based on Panel Data of Chinese Prefecture Cities

Zhang, Fan; Yang, Yiwu; Ahmad, Mahmood; Shao, Junjie

doi:10.3389/fenvs.2022.944383

Cited by 3 publications

(2 citation statements)

References 73 publications

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“…However, with improvements in technological innovation, its innovation effect will gradually emerge. The impact of environmental regulation on the upgrading of industrial structure is in a "U"-shaped relationship in the central and western regions, which is inconsistent with Zhang and Lin (2022). This shows that with the improvement of environmental regulation intensity, pollution-intensive industries face higher compliance and cost and have stronger internal motivation to carry out technological innovation and optimize the structure, which is conducive to promoting the advanced industrial structure.…”

Section: Discussionmentioning

confidence: 94%

“…Wang et al (2022) found that the interaction between ER and technological innovation strengthens the role of technological innovation and environmental regulation in the upgrading and rationalization of industrial structures. Zhang and Lin (2022) found that formal environmental regulations weaken the industrial structure adjustment effect of technological innovation. He and Zheng (2023) found that technological innovation is an important means for environmental regulation to promote industrial advancement.…”

Section: Literature Reviewmentioning

confidence: 99%

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Synergistic effects of technological innovation, industrial structure upgrading, and ecological environment optimization—evidence from China

Yang

Wang

2023

Front. Ecol. Evol.

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The benign interaction between technological innovation, industrial structure, and ecological environment optimization is important for the sustainable development of China’s economy. Based on panel data from 30 provinces (municipalities) in China from 2003 to 2019, a coupling coordination degree (CCD) model was adopted to evaluate the coordinated development level of the technological innovation-industrial structure-ecological environment system (TIE). Fixed-effect models were used to explore the subsystem impact on the coupling coordination level. A fully modified least-squares (FMOLS) method was used to analyze TIE subsystem interactions. The results show the following: (1) The coordinated development level of TIE has steadily improved. The CCD of the TIE was high in the east, flat in the center, and low in the west. (2) Subsystem development significantly and positively affected the degree of coupling coordination. The ecological environmental impact on the coordinated development level was the largest in the eastern regions and the influence of technological innovation on the coordinated development level was the largest in the central and western regions. (3) Industrial advancement had a positive impact on technological innovation in 30 provinces as a whole, and in the eastern, central, and western regions. A “U”-shaped relationship was found between technological innovation and industrial advancement in all 30 provinces, and in the eastern, central provinces. Industrial rationalization, industrial advancement, and technological innovation can promote the improvement of the ecological environment in all 30 provinces, and the eastern, central, and western regions.

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Section: Discussionmentioning

confidence: 94%

Section: Literature Reviewmentioning

confidence: 99%

Synergistic effects of technological innovation, industrial structure upgrading, and ecological environment optimization—evidence from China

Yang

Wang

2023

Front. Ecol. Evol.

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Does ESG performance bring to enterprises’ green innovation? Yes, evidence from 118 countries

Fu,

Zhao,

Chang

2023

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Research background: The sustainable development and innovation economics theory and related literature place a lot of emphasis on the relationship between environment, society, and governance (ESG) and green innovation. Purpose of the article: The purpose of this paper is to understand what the factors are that influence green innovation and why there is a big disparity in green innovation capabilities between nations. In addition, this paper aims to investigate the impact of ESG performance of green innovation by using unbalanced panel data covering 118 sample countries during the period of 1999–2019. Methods: Panel fixed effect model; Instrumental variable (IV) method; First-differencing (FD) method; Kinky least-squares (KLS) approach. Findings & value added: ESG performance provides evidence for its positive and significant impact on such innovation. Among the ESG factors, governance seems to have the most important influence on green innovation. Moreover, the positive influence of ESG performance is more evident in higher income and wealthy nations. Furthermore, we also conclude that ESG performance can affect green innovation through FDI, human capital, financial development and trade openness. These conclusions hold up after a number of robustness tests and taking into account any potential endogenous issues. Overall, policymakers should pay close attention to the findings.

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Spatial Evolutionary Characteristics and Influencing Factors of Urban Industrial Carbon Emission in China

Zhang

Shen

Luan

et al. 2022

IJERPH

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Climate warming caused by carbon emissions is a hot topic in the international community. Research on urban industrial carbon emissions in China is of great significance for promoting the low-carbon transformation and spatial layout optimization of Chinese industry. Based on ArcGIS spatial analysis, Markov matrix and other methods, this paper calculates and analyzes the temporal and spatial evolution characteristics of industrial carbon emissions in 282 cities in China from 2003 to 2016. Based on the spatial Dubin model, the influencing factors of urban industrial carbon emissions in China and different regions are systematically analyzed. The study shows that (1) China’s urban industrial carbon emissions generally show a trend of first growth and then slow decline. The trend of urban industrial carbon emissions in the western, central, northeastern and eastern regions of China is basically consistent with the overall national trend; (2) In 2003, China’s urban industrial carbon emissions were dominated by low carbon emissions. In 2016, China’s urban industrial carbon emissions were dominated by high carbon emissions, and the spatial trend is gradually decreasing from the eastern region to the central region to the northeast region to the western region; (3) In 2003, the evolution pattern of China’s urban industrial carbon emissions was “low carbon-horizontal expansion” dominated by positive growth, and in 2016, it was “low carbon-vertical expansion” dominated by scale growth; (4) China’s urban industrial carbon emissions have spatial viscosity, and the spatial viscosity decreases with the increase of industrial carbon emissions. (5) In 2004, the relationship between urban industrial carbon emissions and gross industrial output value in China is mainly weak decoupling. In 2016, various types of decoupling regions are more diversified and dispersed, and strong decoupling cities are mainly formed from weak decoupling cities in southwest China and eastern coastal areas; (6) From a national perspective, indicators that are significantly positively correlated with industrial carbon emissions are urban industrial structure, industrial agglomeration level, industrial enterprise scale and urban economic development level, in descending order. Indicators that are significantly negatively correlated with urban industrial carbon emissions are industrial structure and industrial ownership structure, in descending order. Due to the different stages of industrial development and industrial structure in different regions, the influencing factors are also different.

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Would the Urban Environmental Legislation Realize the Porter Hypothesis? Empirical Evidence Based on Panel Data of Chinese Prefecture Cities

Cited by 3 publications

References 73 publications

Synergistic effects of technological innovation, industrial structure upgrading, and ecological environment optimization—evidence from China

Synergistic effects of technological innovation, industrial structure upgrading, and ecological environment optimization—evidence from China

Does ESG performance bring to enterprises’ green innovation? Yes, evidence from 118 countries

Spatial Evolutionary Characteristics and Influencing Factors of Urban Industrial Carbon Emission in China

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