Analysis of the spillover effect of energy intensity among provinces in China based on space-time lag model

Han, Ying; Qi, Xiaoyuan; Yang, Yuanfan

doi:10.1007/s11356-020-08169-6

Cited by 15 publications

(6 citation statements)

References 33 publications

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“…Elements, such as knowledge, technology, and information, are concentrated in space, and there are more and more opportunities to contact and communicate with each other. In this case, different companies and different regions will form a stable foundation for communication and cooperation and gradually build a platform for technological exchange and cooperation [21]. The knowledge spillover effect generated by such external economies of scale can break through the limitations of space and improve the development level of manufacturing and producer services in the surrounding areas, thereby helping to alleviate regional environmental pollution.…”

Section: Hypothesismentioning

confidence: 99%

Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data

Zhuang

Feng

2021

IJERPH

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Industrial co-agglomeration plays a significant role in the moving up of the manufacturing industry in the value chain and in transforming China from a manufacturing giant into a world manufacturing power. This study establishes a co-aggregation index to explore spatio-temporal changes of the co-agglomeration between manufacturing and producer services in 30 provinces of China from 2004 to 2019. Furthermore, we use spatial Durbin model to analyze the impact of industrial co-agglomeration on air pollution reduction. We find that (1) the co-agglomeration index varies remarkably at spatio-temporal scale; (2) high co-agglomeration index is mainly distributed in eastern and central China, while low co-agglomeration index is mainly located in the western region; (3) the co-agglomeration index presents a cluster pattern among provinces, with the cluster of high value in eastern China and the cluster of low value in western China; and (4) the co-agglomeration between manufacturing and producer services is proven effetely to reduce air pollution, which is accompanied with spatial spillover effect. We also provided policy implications in line with diverse industries, multi hierarchies, and different regions, promoting the coordination of manufacturing and producer services and improving air quality.

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Section: Hypothesismentioning

confidence: 99%

Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data

Zhuang

Feng

2021

IJERPH

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“…Climate change has emerged as the most serious threat to human growth. It not only causes frequent extreme weather, rising sea levels, natural hazards, and public health catastrophes, but it also disrupts the economy and society's progress (Han et al, 2020; Watts et al, 2018). The Global Risks Report 2020 issued by the World Economic Forum (WEF) highlights that all five global risks in 2020 are environmental risks for the first time, at a time when the world faces the greatest risk of climate change, and the greatest risk is failing to act on climate change mitigation and adaptation (WEF, 2020).…”

Section: Introductionmentioning

confidence: 99%

Evolutionary game equilibrium in the downstream carbon market: Evidence from the household size in China

Han

Jin

2023

Manage Decis Econ

Self Cite

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Carbon trading downstream, as a key strategy for decreasing carbon emissions, has the potential to hasten the entire society's decarbonization. Taking the government, household, and carbon trading management center as stakeholders, this paper constructs a tripartite evolutionary game model, examines and stimulates evolutionary stability strategies, and then proposes some policy implications. Findings show that the downstream carbon market faces a complex evolutionary process. The promotion of the policy can be split into two periods: policy promotion and policy stability implementation. And proper household size management is a crucial and effective strategy to encourage downstream carbon trading programs and emission reduction.

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“…The rapid development of the global economy and anthropogenic climate change have precipitated a series of environmental issues (Li G et al, 2022;Zhang et al, 2022), including rising sea levels, melting glaciers, species extinction, and newly emerging diseases. These problems pose a considerable challenge for the sustainable development of human society (Holden et al, 2014;Han et al, 2020;Zhu et al, 2021). Global warming is currently the most remarkable driver of global environmental change.…”

Section: Introductionmentioning

confidence: 99%

Spatial differences, distributional dynamics, and driving factors of green total factor productivity in China

Zhao

et al. 2022

Front. Environ. Sci.

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Analysis of the spillover effect of energy intensity among provinces in China based on space-time lag model

Cited by 15 publications

References 33 publications

Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data

Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data

Evolutionary game equilibrium in the downstream carbon market: Evidence from the household size in China

Spatial differences, distributional dynamics, and driving factors of green total factor productivity in China

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