The effects of urban agglomeration economies on carbon emissions: Evidence from Chinese cities

Han, Feng; Xie, Rui; Ya, LU; Fang, Jiayu; Liu, Yu

doi:10.1016/j.jclepro.2017.09.273

Cited by 216 publications

(61 citation statements)

References 37 publications

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“…Third, the scale effect of manufacturing agglomeration can increase residential income and fiscal revenue through improved regional labor productivity. Residents in manufacturing agglomeration regions may have more strict environmental requirements in their local areas, thereby forcing the government to adopt more stringent environmental regulations and invest more in environmental pollution control (Jie, 2006, Han, 2018 [76,77]. In this case, the agglomeration effect of specialized agglomeration plays a dominant role and enhances its positive environmental externalities.…”

Section: Results Of the Panel Threshold Regressionmentioning

confidence: 99%

Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data

2018

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Industrialization and urbanization has rapidly advanced in China. Therefore, clarifying the relationship between industrial agglomeration and environmental pollution resolves questions if intensive or dispersed development should be adopted for the future Chinese industry or not. By distinguishing between specialized and diversified agglomeration, this paper adopts the threshold regression method to investigate the differentiated influence of industrial agglomeration stages on pollution emission reduction. This was based on panel data from 2003 to 2016 on 285 prefecture-level cities in China. The result indicates that moderate degrees of industrial agglomeration and suitable agglomeration modes are conducive for the reduction of pollution emission. From a perspective of environmental protection, the development of diversified agglomeration is superior to that of specialized agglomeration. Specifically, a "U-shaped" relationship was found between specialized agglomeration and environmental pollution, suggesting that the former first mitigated and then worsened environmental pollution. This staged evolution of diversified agglomeration exerts a more-complex influence on environmental pollution. The following policy implications have been proposed: The currently implemented industrial growth pole strategy in China should fully utilize the "self-purification" effect of agglomeration to achieve energy conservation and emission reduction. Furthermore, differentiated agglomeration policies should be formulated in response to various growth poles according to different stages of industrial agglomeration. In addition, efforts should be made towards creating an interactive early warning mechanism for the spatial distribution of both economic activities and pollution.

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Section: Results Of the Panel Threshold Regressionmentioning

confidence: 99%

Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data

2018

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“…where

G_{i}

and

G_{j}

are the average GDP per capita of city

i

and city

j

between 2001and 2015, respectively. However, either the geographical proximity or the economic relevance alone do not capture the close spatial linkages and spatial interactions, which are affected by both the geographical distance and economic behaviour (Han, Xie, Lu, Fang, & Liu, ). This study constructs a gravity model matrix

(W_{italicgra})

to capture both the social and econometric linkages between cities based on the gravity model as follows:

W_{italicgra} = \{\begin{matrix} false(G_{i} * G_{j} false) / d_{italicij}^{2} & i \neq j \\ 0 & i = j \end{matrix}

…”

Section: Methods and Datamentioning

confidence: 99%

Innovation efficiency and spatial spillover in urban agglomerations: A case of the Beijing‐Tianjin‐Hebei, the Yangtze River Delta, and the Pearl River Delta

et al. 2019

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Based on panel data of innovation inputs and outputs in 53 cities of the three major Chinese urban agglomerations (UAs) spanning the 2001–2015 period, this study examines the influence of the spatial spillover effect among cities on innovation efficiency in UAs using the SFA method and a spatial econometric model. Three main conclusions can be draw from the empirical results. First, the innovation efficiency in the three UAs has increased over the research period, but there is enormous potential for improvement. Second, owing to the close socioeconomic linkages and the flow of innovation resources, there is a significantly positive spatial spillover effect between cities on innovation efficiency in the three UAs. In other words, innovation efficiency in a local city was positively influenced by the other cities in the UA. Particularly, the innovation efficiency in a local city is influenced by factors related to not only the city itself but also other cities in the UA. Third, as the geographical distance increases, the spillover effect on innovation efficiency shows nonlinear variations, indicating that the excessive expansion in UAs may not be attributed to innovation development.

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“…Han et al, (2018) [28] The local and neighboring cities in China emit more carbon due to specialization and diversification industry.…”

Section: Environmental Science and Policymentioning

confidence: 99%

“…China needs to adopt energy saving, carbon emission reduction technology, and clean renewable energy technology through strengthening research and innovation in some key areas with potential and competitive advantages [49]. There are a number of scopes to develop low carbon technology in China like carbon intensity reduction, reducing carbon emission, increasing use of renewable energy and reducing energy consumption [28]. The industrial and consumption structure in China is based on high energy consumption and low energy saving technologies due to low energy intensity and energy efficiency [31].…”

Section: Opportunities For China's Low Carbon Economy Developmentmentioning

confidence: 99%

Practices of Low Carbon Economy in China: Challenges and Opportunities for Economic Development

Sarker¹,

Hossin²,

Anusara³

et al. 2018

LCE

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Global warming is a major concern in the globalized world in the aspect of industrialization. Low carbon practices are the major strategies to control global warming. Low carbon economy is the fundamental pattern of the mainstream economy in the perspective of ecology. The aim of this study is to explore the status of low carbon economy of China through assessing low carbon practices. It also finds out the challenges and opportunities of low carbon practices for sustainable economic development. An extensive literature review with meta-analysis has been done considering various indicators of low carbon practices. The study explores that China already adopted some policy, strategy, and practices regarding low carbon economy. China already set its policy regarding control of carbon emission by 2030. Research and innovation in low carbon practices, low carbon industrial structure, low carbon technology adoption and emphasizes on environmental sustainability are the major initiatives of China for low carbon economy. Major challenges regarding low carbon practices are heavy pressure on carbon emission, heavy industrialization, extensive development stream, resource endowment, unplanned industrial structure and trade, and confusion regarding industrial transformation. This study suggests that vigorous and efficient planning in industrialization, improved technology adoption, ecological consideration in every project and sufficient finance are necessary to obtain better low carbon economy in China.

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The effects of urban agglomeration economies on carbon emissions: Evidence from Chinese cities

Cited by 216 publications

References 37 publications

Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data

Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data

Innovation efficiency and spatial spillover in urban agglomerations: A case of the Beijing‐Tianjin‐Hebei, the Yangtze River Delta, and the Pearl River Delta

Practices of Low Carbon Economy in China: Challenges and Opportunities for Economic Development

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