Impacts of city size change and industrial structure change on CO2 emissions in Chinese cities

Li, Li; Lei, Yalin; Wu, Sanmang; He, Chunyan; Chen, Jiabin; Yan, Dan

doi:10.1016/j.jclepro.2018.05.208

Cited by 76 publications

(34 citation statements)

References 20 publications

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“…In terms of econometric methods, STIRPAT models are widely used to analyze the effects of population, affluence and technology on CO 2 emissions [23,24]. and Zhou et al (2013) constructed a panel regression method to estimate impacts of these three factors and institutional factors on CO 2 emissions [25,26]. Qin et al (2019) employed a geographically weighted regression method to investigate the effects of population, economy and transportation on CO 2 emissions [27].…”

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confidence: 99%

Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China

et al. 2020

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Energy-rich cities tend to rely on resource-based industries for economic growth, which leads to a great challenge for its low-carbon and sustainable economic development. The contiguous area of Shanxi and Shaanxi Provinces, and the Inner Mongolia Autonomous Region (SSIM) is one of the most important national energy bases in China. Its development pattern, dominated by the coal industry, has led to increasingly prominent structural problems along with difficult low-carbon transition. Taking energy-rich cities in the contiguous area of SSIM as examples, this study analyzes the main drivers of CO2 emissions and explores the role of economic structure transformation in carbon emission reduction during 2002–2012 based on structural decomposition analysis (SDA). The results show that CO2 emissions increase significantly with the coal industry expansion in energy-rich cities. Economic growth and structure are the main drivers of CO2 emission increments. An energy structure dominated by coal and improper product allocation structure can also cause CO2 emission increases. Energy consumption intensity is the main factor curbing CO2 emission growth in energy-rich cities. The decline of agriculture and services contributes to carbon emission reduction, while the expansion of mining and primary energy processing industries has far greater effects on CO2 emission growth. Finally, we propose that energy-rich cities must make more efforts to transform energy-driven economic growth patterns, cultivate new pillar industries by developing high-end manufacturing, improve energy efficiency through more investment in key technologies and the market-oriented reform of energy pricing and develop natural gas and renewable energy to accelerate low-carbon transition.

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confidence: 99%

Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China

et al. 2020

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“…Tian et al (2014) proved that the disparity in regional industrial structure substantially affects regional carbon emissions, and regions with relatively developed industrial structures are more likely to improve energy efficiency through advanced technology. Using the industrial data of 50 cities of different sizes in China from 2005 to 2014, Li et al (2018) found that smaller cities cannot benefit from the externalities of industry agglomeration, leading to a reduction in energy efficiency, and secondary industries have the largest carbon emissions of the three industries (primary, secondary and tertiary industries 2 ). The government should adjust the industrial structure with priority given to the tertiary industry to improve the energy efficiency of China's cities.…”

Section: Industrial Structure and Energy Efficiencymentioning

confidence: 99%

“…This project promoted the adjustment of China's energy structure and turned the resource advantage of the Western region into a source for economic growth. In 2009, Premier Wen pledged at the Copenhagen conference that China's carbon dioxide emissions would be 40% to 45% lower by 2020 than in 2005 (Li et al, 2018). Thereafter, new changes occurred in China's energy supply and demand situation, and the pace of industrialisation and urbanisation accelerated.…”

Section: Datamentioning

confidence: 99%

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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“…While Duarte and Restuccia (2010) and Gan et al (2011) thought that the proportion of the added value of the tertiary industry may not be suitable for calculating the industrial structure upgrading of all countries except for China. Li Lei et al chose an index of structural upgrading with the ratios of the output values in the primary industry and the secondary industry (PI1, SI1) accounting for GDP (Li et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Effect of Industrial Transformation of Resource-Based Cities in Northeast China

et al. 2019

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Based on the development of the industrial structure of prefecture-level resource-based cities in Northeast China, this paper selects three indicators of industrial structure—diversification, rationalization and upgrading—conducting empirical analysis on the transformation of the industrial structure of these resource-based cities. The effects of the industrial transformation of resource-based cities of the same kind are analysed and the development of industrial structure in different provinces is compared. It indicates that the transformation process and adjustment effect of the industrial structures in resource-based cities of Northeast China were different and were not very satisfactory on the whole and the secondary industry was still the leading industry in most cities. In addition, the article analyses the impact of the industrial transformation on the economic growth of resource-based cities in Northeast China. It can be concluded that the rationalization and upgrading of industrial structure generally promoted the cities’ economic growth. The promotion of industrial structure rationalization was greater than that of upgrading. In order to promote the sustainable development of resource-based cities’ economy in Northeast China and solve problems in the process of the cities’ development, two suggestions are proposed. One is to pay attention to the rational development of the industrial structure, so it is necessary to strengthen the overall planning of resource-based cities in the Northeast region, promote regional coordination and rationally arrange and adjust the industrial structure from the overall scope of the region. Another is to continue to promote the process of industrial structure upgrading by introducing high-tech industries through preferential policies and to develop relevant industries based on the advantages of the cities, instead of just extending the original industry.

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Impacts of city size change and industrial structure change on CO2 emissions in Chinese cities

Cited by 76 publications

References 20 publications

Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China

Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China

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

Analysis of the Effect of Industrial Transformation of Resource-Based Cities in Northeast China

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