Spatial-temporal heterogeneity of green innovation in China

Zhou, Xia; Yu, Yu; Yang, Fan; Shi, Qinfen

doi:10.1016/j.jclepro.2020.124464

Cited by 73 publications

(42 citation statements)

References 42 publications

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“…From the perspective of innovation economics, green innovation can improve economic performance by optimizing an enterprise's efficiency of factor allocation (Andersén, 2021;Girod et al, 2017;Ma et al, 2021). On the other hand, green innovation can reduce the environmental legal costs of production, or the default costs of production, thereby improving economic performance indirectly (Ma et al, 2021;Sharma et al, 2021;Sun et al, 2020;Zhou et al, 2021). Rehman et al (2021) empirically find that green innovation leads to higher environmental performance.…”

Section: Theoretical Background and Hypothesis Developmentmentioning

confidence: 99%

The impact of green innovation on manufacturing small and medium enterprises corporate social responsibility fulfillment: The moderating role of regional environmental regulation

Jiang

Wang

2022

Corp Soc Responsibility Env

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Researchers have found that small and medium enterprises (SMEs) are also socially responsible, but corporate social responsibility (CSR) literature has been predominantly examined of larger enterprises. Besides, SMEs experience mo re difficulty than larger enterprises in CSR fulfillment. Based on resource‐based theory and green innovation theory, this paper contributes to CSR literature by examining the impact of SMEs’ green innovation on their CSR and the moderating roles of governmental regulations. By analyzing the questionnaire data from 269 manufacturing SMEs, we empirically find that: (1) There is an inverse U‐shaped curve between green innovation and manufacturing SMEs CSR; (2) Command‐and‐control environmental regulations and market‐based environmental regulations both have a moderating effect on the relationship between green innovation and manufacturing SMEs CSR fulfillment. The conclusions can effectively guide the executives of SMEs to fulfill their CSR and guide the formulation of relevant environmental policies for local government.

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Section: Theoretical Background and Hypothesis Developmentmentioning

confidence: 99%

The impact of green innovation on manufacturing small and medium enterprises corporate social responsibility fulfillment: The moderating role of regional environmental regulation

Jiang

Wang

2022

Corp Soc Responsibility Env

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“…The possible reason for this is that the eastern region has a much higher level of economic development than the central region and has a relatively larger scale of green innovation investment [ 58 ], which implies a higher green innovation efficiency. The relative backwardness of economic development in the central region not only implies insufficient investment in innovation capital, but also further leads to technology brain drain [ 59 ].…”

Section: Resultsmentioning

confidence: 99%

The “Local Neighborhood” Effect of Environmental Regulation on Green Innovation Efficiency: Evidence from China

Lyu

Zhang

Yang

et al. 2022

IJERPH

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Current research has generally concentrated on the motivations of environmental policies on local green innovation while ignoring the effect they may have on green innovation in neighboring places. To obtain a thorough understanding and explanation of the influencing mechanism of environmental regulation (ER) on green innovation efficiency (GIE), the super-slack based measure-data envelopment analysis (Super-SBM-DEA) method was applied to evaluate Chinese provinces’ GIE, a spatial Durbin model was developed to evaluate the effect of ER on GIE from the perspective of the “local neighborhood” effect, and a mediating effect model was built to analyze the transmission mechanism of the neighborhood effect of ER on GIE. The study indicated that China’s regional GIE is high in the east and low in the west, with large spatial variability and significant positive spatial clustering characteristics. The effect of ER on local GIE is “U” shaped, while the influence on green innovation efficiency in neighboring areas is an inverted “U” shape. The influence of environmental regulation on GIE in neighboring areas is mainly achieved through the transfer of local polluting industries to neighboring areas. Based on the results, policy recommendations from the perspectives of choosing environmental regulation tools and transferring polluting industries are made to promote and realize the coordinated development of ER and green innovation.

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“…Overall, SO 2 emissions in the YREB have slowed down and the pollution caused by SO 2 emissions in these provinces (Jiangsu, Yunnan, and Hubei) has improved with regional economic development. For these regions, the political measures that the Chinese government was committed to promoting, such as technological innovation, market-oriented reform, and environmental regulations [ 48 ], have achieved good results. The progress of green technology and the improvement of production efficiency promoted by economic development [ 49 ] can also greatly reduce SO 2 emissions.…”

Section: Discussionmentioning

confidence: 99%

Quantitative Analysis of Sulfur Dioxide Emissions in the Yangtze River Economic Belt from 1997 to 2017, China

Guo

Zhou

Zhang

et al. 2022

IJERPH

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Economic development is responsible for excessive sulfur dioxide (SO2) emissions, environmental pressure increases, and human and environmental risks. This study used spatial autocorrelation, the Environmental Kuznets Curve (EKC), and the Logarithmic Mean Divisia Index model to study the spatiotemporal variation characteristics and influencing factors of SO2 emissions in the Yangtze River Economic Belt (YREB) from 1997 to 2017. Our results show that the total SO2 emissions in the YREB rose from 513.14 × 104 t to 974.00 × 104 t before dropping to 321.97 × 104 t. The SO2 emissions from 11 provinces first increased and then decreased, each with different turning points. For example, the emission trends changed in Yunnan in 2011 and in Anhui in 2015, while the other nine provinces saw their emission trends change during 2005–2006. Furthermore, the SO2 emissions in the YREB showed a significant agglomeration phenomenon, with a Moran index of approximately 0.233–0.987. Moreover, the EKC of SO2 emissions and per capita GDP in the YREB was N-shaped. The EKCs of eight of the 11 provinces were N-shaped (Shanghai, Zhejiang, Anhui, Jiangxi, Sichuan, Guizhou, Hunan, and Chongqing) and those of the other three were inverted U-shaped (Jiangsu, Yunnan, and Hubei). Thus, economic development can both promote and inhibit the emission of SO2. Finally, during the study period, the technical effect (approximately −1387.97 × 104–130.24 × 104 t) contributed the most, followed by the economic (approximately 27.81 × 104–1255.59 × 104 t), structural (approximately −56.45 × 104–343.90 × 104 t), and population effects (approximately 4.25 × 104–39.70 × 104 t). Technology was the dominant factor in SO2 emissions reduction, while economic growth played a major role in promoting SO2 emissions. Therefore, to promote SO2 emission reduction, technological innovations and advances should be the primary point of focus.

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Spatial-temporal heterogeneity of green innovation in China

Cited by 73 publications

References 42 publications

The impact of green innovation on manufacturing small and medium enterprises corporate social responsibility fulfillment: The moderating role of regional environmental regulation

The impact of green innovation on manufacturing small and medium enterprises corporate social responsibility fulfillment: The moderating role of regional environmental regulation

The “Local Neighborhood” Effect of Environmental Regulation on Green Innovation Efficiency: Evidence from China

Quantitative Analysis of Sulfur Dioxide Emissions in the Yangtze River Economic Belt from 1997 to 2017, China

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