Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China

Du, Junliang; Liu, Yong; Diao, Wei-xue

doi:10.3390/ijerph16060940

Cited by 133 publications

(107 citation statements)

References 33 publications

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“…First, government support is conducive to promoting sustainable economic development in various regions. The government's support for sustainable economic activities in the region is mainly reflected in the implementation of grants or tax incentives, which can reduce the cost of corporate green emission reduction activities, stimulate the enthusiasm of enterprises to adopt low-carbon technologies, and have a positive impact on carbon emissions reduction [6,53]. We choose the ratio of local fiscal expenditure to GDP as a proxy variable (GOV).…”

Section: Variables and Data Sourcesmentioning

confidence: 99%

“…As a responsible developing country, China put forward its goal at the 2015 Paris Climate Conference: To achieve a peak in CO 2 emissions around 2030, with carbon intensity reduced by 60% to 65% compared to 2005. Therefore, under the background of increasingly tight carbon emission reduction constraints, how to reduce carbon emissions while ensuring high-quality economic development is the core issue under the "new normal" [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?

Han

Feng

et al. 2019

Sustainability

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Climate change poses unprecedented challenges for humanity. Reducing carbon intensity is an inevitable choice for tackling climate change and promoting sustainable development. China has made some emission reduction commitments in the international community to promote the decoupling of China’s economic development from carbon emissions. The realization of the industrial structure from the “single-wheel drive” of the manufacturing to the “two-wheel drive” economic development model of the service industry and the manufacturing has become a key measure to achieve China’s economic intensive development. According to resource misallocation situation in different regions, this paper explored the impact of the collaborative agglomeration between producer services and manufacturing (hereinafter referred to as industrial co-agglomeration) on carbon intensity. The research results show that the carbon intensity is decreasing year by year, and the degree of intensification of China’s economic growth continues to increase. Moreover, the effect of industrial co-agglomeration to promote carbon emission reduction is significantly limited by the degree of misallocated resources, and there is a double threshold effect. Specifically, in areas where resource allocation is reasonable, industrial co-agglomeration can produce significant agglomeration effects and promote carbon intensity reduction. Once the degree of misallocated resources exceeds a threshold level, the agglomeration effect will turn into a crowding effect, resulting in an inability to reduce carbon intensity. We comprehensively analyzed the driving factors for reducing carbon intensity and proposed policy pathways for achieving China’s carbon intensity target.

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Section: Variables and Data Sourcesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?

Han

Feng

et al. 2019

Sustainability

View full text Add to dashboard Cite

show abstract

“…(3) While the ER purifies the logistics environment in the logistics process, it is suggested to consider the greening of both forward logistics links and the reverse logistics system in the supply chain [43,44,48]. In accordance with the concept of sustainable development, a reverse logistics system for processing products and packaging should be established.…”

Section: Conclusion and Suggestionsmentioning

confidence: 99%

“…On the contrary, some scholars believed that ER has a negative effect on the promotion of GTFP. Jiang [41], Jin [42], and Du et al [43] studied the effect of ER on the industrial GTFP and the GTFP of high-energy-consumption industries, respectively. They all reached the conclusion that increasing ER intensity could produce a certain effect of innovation compensation, but it was not enough to make up for the ER-induced compliance costs of enterprises.…”

Section: Introductionmentioning

confidence: 99%

Study on the Effect of Environmental Regulation on the Green Total Factor Productivity of Logistics Industry from the Perspective of Low Carbon

Liang

Chiu

et al. 2019

Sustainability

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Under the low-carbon background, with the aid of the Malmquist–Luenberger SBM (Slack-based Measure) model of unexpected output, the green total factor productivity (GTFP) of the logistics industry in Jiangsu Province, China, was measured and decomposed in this study based on the reality and experience of logistics industry development in 13 cities in three regions of Jiangsu Province in the years 2006–2018 by taking resource consumption into the input system and discharged pollutants into the output system. It is concluded that the environmental regulation (ER) has a significant positive effect on the growth of the GTFP of the logistics industry, and technological progress has become an important endogenous force that promotes the GTFP of the logistics industry in Jiangsu Province. On this basis, a dynamic GMM (Generalized method of moment) model and a Tobit model were constructed to further study the possible temporal and spatial effects of ER on the GTFP of the logistics industry. The research results reveal that the ER can exert both promoting and inhibitory effects on the GTFP of the logistics industry, and there is a temporal turning point for the effects. Besides, the effects notably differ spatially and temporally. Finally, some policies and advice for the green sustainable development of the logistics industry were proposed. For example, the government and enterprises should pay attention to the green and efficient development of the logistics industry and dynamically adjust the ER methods. They should consider the greening of both forward logistics links and reverse logistics system in the supply chain.

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“…Data envelopment analysis (DEA) is a suitable technique for assessing the performance of green economy. Considering multiple inputs and outputs, this method constructs a multifactor performance evaluation model using linear programming to derive a production frontier for measuring efficiency [38]. However, the performance changes across periods could not be well evaluated by this method [20].…”

Section: Samples and Data Collectionmentioning

confidence: 99%

From Catch‐Up to Transcend: The Development of Emerging Countries’ Green Economy

Lin

Wang

2019

Mathematical Problems in Engineering

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As domestic concerns on clean economic growth arise, promoting green economy has become an urgent issue for emerging countries that are facing serious environment problems in industrialization. Through international imitation, emerging countries have the opportunity to adopt clean techniques of developed countries. Because of different industrial structures, it is unachievable to learn the green technology across all fields. Previous studies consider that innovations could create green production models to improve the production capacity that reduces energy input and waste discharge. However, while evaluating emerging countries’ economic growth, the environment indicators were often neglected. Empirical investigation of the role of innovation in green economy’s growth is still rare. The first objective of this study is to adopt an integrated framework to investigate emerging countries’ green economy by considering environmental factors. Secondly, environmentally sensitive productivity growth index was employed to decompose the productivity progress of green economy into catch-up effect, innovation effect, and technical leadership to examine the role of innovation. Thirdly, implications were provided for the policy makers in relation to green growth. Thirty-nine emerging countries were chosen as samples, which were divided into America, Asia, and Europe according to their locations. We found that America is still an imitator in developing green economy. In contrast, Asia starts to transition to innovation, which has become another critical promoter for green growth. Europe was found to lead on the technology frontier because of proper industrial planning and technology accumulation. The progress to innovation and technical leadership could ensure a stable green growth in the future. This research could be a route to open up the possibility of extending current study of green economy.

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Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China

Cited by 133 publications

References 33 publications

Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?

Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?

Study on the Effect of Environmental Regulation on the Green Total Factor Productivity of Logistics Industry from the Perspective of Low Carbon

From Catch‐Up to Transcend: The Development of Emerging Countries’ Green Economy

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