Is there a ripple effect in environmental regulation in China? – Evidence from the local-neighborhood green technology innovation perspective

Dong, Zhiqing; He, Yongda; Wang, Hui; Wang, Linhui

doi:10.1016/j.ecolind.2020.106773

Cited by 120 publications

(62 citation statements)

References 23 publications

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“…The Porter Hypothesis holds that reasonable ER can stimulate enterprises to improve their production, operation, and technology levels and optimize the efficiency of internal resource allocation. At the same time, it can maximize the ecological compensation effect of enterprises to offset the costs caused by compliance with regulations and thus improve the competitiveness of enterprises [ 57 , 58 ].…”

Section: Methodsmentioning

confidence: 99%

“…First, there is a complex interactive relationship between the three dimensions of green development, empirical studies can consider taking this factor into consideration. Second, not all technological progress can reduce the demand for resources [ 62 ], and TI can be divided into green TI and non-green TI, green TI can maximize the effective use of relevant resources [ 58 , 63 ], and the heterogeneous impact of green TI and non-green TI on green development can be further examined in the future.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

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Does Technological Innovation Promote Green Development? A Case Study of the Yangtze River Economic Belt in China

Zeng

Cao

et al. 2021

IJERPH

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The role of technological innovation (TI) in green development is controversial. Based on 2003–2017 panel data of 108 cities in the Yangtze River Economic Belt (YREB), this study constructed an index system to evaluate urban green development and analyzed the role of TI on urban green development with the help of a panel econometric model. The results show that: (1) From 2003 to 2017, the levels of TI and green development of cities in the YREB have gradually improved, but the core–periphery structure is obvious, and the levels of TI and green development in the lower reaches are significantly higher than those in the middle and upper reaches. (2) TI has a significant positive role in promoting green development, showing a U-shaped nonlinear relationship, and this relationship varies from region to region. (3) TI has a significant impact on green development with direct and indirect effects. In the economic and social dimensions, TI has a positive impact on green development, while in the ecological dimension, the direct effect and indirect effect have opposite relationships. (4) TI has a significant threshold effect on green development, and there are differences in threshold characteristics between the three dimensions. These findings provide a scientific basis for policymaking about innovation-driven regional green development, and it can enrich the related theories of environmental economic geography.

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Section: Methodsmentioning

confidence: 99%

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

Does Technological Innovation Promote Green Development? A Case Study of the Yangtze River Economic Belt in China

Zeng

Cao

et al. 2021

IJERPH

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“…Generally, there are strong spatial correlations between economic and environmental activities in different regions (see Shao et al 2020 ; Yuan et al 2020 ; Zhang et al 2020 ). Dong et al ( 2020b ) showed that environmental regulation not only affected the green technology progress in the local regions but also changed the innovation of green technology in the neighboring regions. From the perspective of green finance, Li and Gan ( 2021 ) showed that the development of green finance improved the ecological environment in the surrounding areas.…”

Section: Institutional Background and Literature Reviewmentioning

confidence: 99%

The local-neighborhood effect of green credit on green economy: a spatial econometric investigation

Lei

Wang

Zhao

et al. 2021

Environ Sci Pollut Res

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Green credit is one of the most important financial instruments to promote sustainable development. Taking the provincial panel dataset of China as the research sample, this paper investigates the spatial impacts of green credit on the green economy. The super slack-based measure (Sup-SBM) model with undesirable outputs is employed to calculate the level of green economy within China. On this basis, we establish spatial Durbin models to study the impact of green credit on green economy and its transmission mechanisms. The results show that green credit exhibits a local-neighborhood effect on green economy; that is, the green credit can not only improve the local green economy but also generate spatial spillover effect to promote the development of green economy in surrounding areas. The above conclusion still holds after the robustness test by replacing spatial weight matrices and alternative measurement for the explained variable. Furthermore, enhancing innovation efficiency and optimizing energy structure are important ways for green credit to promote green economy. The findings of this study not only provide a new perspective for understanding the economic consequences of green credit policy but also provide empirical evidence for the important role of green finance in achieving the win-win goals of economic growth and environmental protection. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-15419-8.

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“…While the internal determinants include corporate governance (Amore and Bennedsen, 2016), corporate capabilities (Albort-Morant et al, 2016;Cuerva et al, 2014;Li et al, 2017), executive characteristics (Hao et al, 2019;Ren et al, 2021), literature on green innovation emphasized external determinants such as political capital (Lin et al, 2014), institutional pressure (Chen et al, 2018;Leenders and Chandra, 2013), outward foreign direct investment (Yang, Z. et al, 2020). At the region level, the role of environmental policy tools on green innovation has been explored (Shen et al, 2020), especially environmental regulation (Cai et al, 2020;Dong et al, 2020;Hu and Liu, 2019;Pan, X. et al, 2020;Song et al, 2020). Besides, there is evidence that fiscal decentralization has an effect on green innovation (Zhou et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Does Environmental Decentralization Improve Regional Green Innovation? Evidence from China

Yang¹,

Liu²

2021

Preprint

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Green innovation is critical for sustainable development. The reform of environmental management system plays an important role in improving environmental pollution and technology progress. Working from a heterogeneous perspective, this study investigates the effects of different types of environmental decentralization on regional green innovation using statistical data from 30 provinces in China over the period of 2000–2015. The results show that environmental decentralization (ED) promotes regional green innovation. Furthermore, according to different environmental management of levels and affairs, we divide environmental decentralization into provincial-level environmental decentralization (PED), municipal-level environmental decentralization (MED), and county-level environmental decentralization (CED); environmental administrative decentralization (EAD), environmental monitoring decentralization (EMD), and environmental supervision decentralization (ESD), respectively. There is also evidence suggesting that different types of environmental decentralization have varied effects on regional green innovation. These findings set out in this study are robust when different methods are employed. A further investigation indicates that the effects of different types of environmental decentralization on green innovation apparently differ across Chinese different regions. Some policy recommendations will help policymakers to determine more effective environmental decentralization.

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Is there a ripple effect in environmental regulation in China? – Evidence from the local-neighborhood green technology innovation perspective

Cited by 120 publications

References 23 publications

Does Technological Innovation Promote Green Development? A Case Study of the Yangtze River Economic Belt in China

Does Technological Innovation Promote Green Development? A Case Study of the Yangtze River Economic Belt in China

The local-neighborhood effect of green credit on green economy: a spatial econometric investigation

Does Environmental Decentralization Improve Regional Green Innovation? Evidence from China

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