Does financial agglomeration promote the green development in China? A spatial spillover perspective

Yuan, Huaxi; Zhang, Tianshu; Feng, Yidai; Liu, Yaobin; Ye, Xinyue

doi:10.1016/j.jclepro.2019.117808

Cited by 88 publications

(55 citation statements)

References 38 publications

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“…(2) GD is more focused on economic development [10]. Originating from the notions of green economy, most theories on GD focus on the circular economy, low-carbon economy, and ecological economy [59].…”

Section: Comparison With the Sd Indexmentioning

confidence: 99%

Proposed Green Development Reporting Framework for Enterprises from a Life-Cycle Perspective and a Case Study in China

2019

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Green development is becoming prioritized in industrial settings and manufacturing. Under the current trend of green development, the status of the green development of enterprises is not clear. Evaluation indicators of green development are required, especially given that China has issued many green development policies, as well as special funding support. Reporting is an important tool to foster communication among governments, the public, enterprises, and stakeholders, as well as to assess advances in, and provide guidance, toward realizing green development. The purpose of the present study was to establish a green development report framework and green development indicators for enterprises, with an application to a case study of a textile company in China. The green development reporting framework was based on a life-cycle assessment method, which is an index system constructed to combine quantitative and qualitative indicators, process control and outcome-oriented indicators within the scope of both life-cycle and factory boundaries. This index system included definitions and calculations methods of environmental and resource indicators that can comprehensively reflect green development. By using empirical data from 2017 in the case study, the framework and indicators were further described, and the effects of relevant terms were noted. The green development reporting framework and case study herein can help enterprises understand the concept of green development, self-inspection, self-comparison, communicate advancements, and ultimately improve their level of green development.

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Section: Comparison With the Sd Indexmentioning

confidence: 99%

Proposed Green Development Reporting Framework for Enterprises from a Life-Cycle Perspective and a Case Study in China

2019

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“…These areas do not have abundant resources like provinces in the Western region do, and because they are located inland, inconvenient transportation causes their economic development to lag far behind that of coastal cities. Yuan et al (2019) also proved that the level of financial agglomeration and green development in the Eastern and Western areas is higher than that in the Central areas, showing a clear trend of spatial convergence. We take energy efficiency as a dependent variable, and its influencing factors are divided into institutional and economic factors.…”

Section: Datamentioning

confidence: 80%

Can fiscal decentralisation regulate the impact of industrial structure on energy efficiency?

Wang

Hua

et al. 2020

Economic Research-Ekonomska Istraživanja

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This study applies the slack-based measure-data envelopment analysis (SBM-DEA) method to measure energy efficiency and tests the spatial spill-over effects of fiscal decentralisation, industrial structure and energy efficiency using the spatial Durbin model. The results show that China's energy efficiency presents a clear geographical step distribution, and the Eastern and Western regions have higher energy efficiency than the Central region. Fiscal decentralisation has a positive effect on the energy efficiency of the Eastern and Central regions by upgrading the industrial structure. In addition, fiscal decentralisation has significant, positive externalities on the surrounding areas, promoting environmental protection and energy conservation in all regions of China. The results are in line with the tenets of environmental federalism (Oates & Schwab): through the allocation and transfer of industrial factors, fiscal decentralisation affects energy governance. Therefore, local governments should formulate policies and targets according to their regions' different economic development levels, and the Central and Western areas, which have greater space for improvement and low energy efficiency, should receive attention to balance regional differences.

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“…Local spatial autocorrelation is used to measure the degree of similarity (i.e., positive correlation) or difference (i.e., negative correlation) of a certain attribute at its local position with its neighboring spatial unit attributes. The heterogeneous characteristics of spatial elements can be understood more fully, including how spatial dependence changes with location [45]. The use of local spatial autocorrelation methods to explore the spatial distribution characteristics of the regional innovation capability and the green technology efficiency of Chinese manufacturing was applied.…”

Section: Local Indicators Of Spatial Association (Lisa)mentioning

confidence: 99%

Effects of Regional Innovation Capability on the Green Technology Efficiency of China’s Manufacturing Industry: Evidence from Listed Companies

Supriyadi

Wang

et al. 2020

Energies

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The purpose of the “Made in China 2025” strategy is to enhance the innovation capabilities of the local manufacturing industry and achieve green and sustainable development. The role of innovation in the development of manufacturing is a hotspot in academic research, though only a few studies have analyzed the interaction between green technology manufacturing efficiency and its external innovation capabilities. This study used the 2011–2017 Chinese A-share listed manufacturing companies as samples to discuss whether regional innovation capabilities can promote the improvement of green technology manufacturing efficiency. The results showed that a significant spatial correlation between regional innovation capability and green technology manufacturing efficiency was prevalent within spatial heterogeneous bounds. In addition, regional innovation capability directly promoted the effective manufacturing of green technology efficiency, which was strongest in the eastern region of the country. Regional innovation capabilities also had a positive effect on human capital and government revenue, thereby further enhancing the green technology efficiency of manufacturing through the intermediary effect. Based on the above conclusions, some policy recommendations are put forward to facilitate the improvement of China’s regional innovation capabilities in terms of green technology efficiency in manufacturing.

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Does financial agglomeration promote the green development in China? A spatial spillover perspective

Cited by 88 publications

References 38 publications

Proposed Green Development Reporting Framework for Enterprises from a Life-Cycle Perspective and a Case Study in China

Proposed Green Development Reporting Framework for Enterprises from a Life-Cycle Perspective and a Case Study in China

Can fiscal decentralisation regulate the impact of industrial structure on energy efficiency?

Effects of Regional Innovation Capability on the Green Technology Efficiency of China’s Manufacturing Industry: Evidence from Listed Companies

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