Research on the Evaluation and Regional Differences in Carbon Emissions Efficiency of Cultural and Related Manufacturing Industries in China’s Yangtze River Basin

Zhao, Xing; Zhang, Xin

doi:10.3390/su141710579

Cited by 6 publications

(4 citation statements)

References 57 publications

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“…From the existing essays, the breakthroughs of this paper are as follows: First, the literature samples used in this paper are totally different from the existing ones. Previous studies on CO 2 emissions in the Yangtze River basin mainly took provincial panel data as samples ((Wang et al) [29]; (Zhao X and Zhang X) [30]), and the panel data of prefecture-level cities are used for analysis. The second point is to propel the existing literature analysis processes.…”

Section: Conclusion and Policy Recommendationsmentioning

confidence: 99%

Study on the Spatial Characteristics and Spillover Effects of Carbon Emissions in the Yangtze River (Main Stream) Basin

Liu

Zhao

2023

Energies

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Carbon emissions reduction is crucial to global climate governance and sustainable development. By 2060, China envisioned being carbon-neutral, and it has adopted a series of policies and measures for environmental management, especially in the main stream of Yangtze River basin, where China’s carbon emissions are centered. The spatial distribution characteristics and agglomeration effects of carbon dioxide (CO2) emissions in the main stream of Yangtze River basin are analyzed from 2010 to 2019 based on the perspective of local (city and state) administrative regions, and uses the spatial Durbin model to examine the influencing factors and spatial spillover effects of carbon emissions. The findings discovered from the extensive research are as follows: First, carbon emissions in the main stream of Yangtze River basin present a fluctuating upward trend, and CO2 emissions in the lower reaches are significantly higher than those in the middle and upper reaches, which are closely related to the economic volume. Secondly, carbon emissions have a significant positive spatial correlation among prefecture-level cities, and carbon emissions show a high-high concentration in downstream regions and low-low concentration in upstream regions. Thirdly, regional economic development level, secondary industry development level, and population density have considerable influence on CO2 emissions, among which the Kuznets hypothesis is evidenced by the interaction between economic progress and carbon emissions. Therefore, strengthening regional cooperation efforts and collaborating to promote low-carbon development are the vital ways to achieve carbon emissions reduction.

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Section: Conclusion and Policy Recommendationsmentioning

confidence: 99%

Study on the Spatial Characteristics and Spillover Effects of Carbon Emissions in the Yangtze River (Main Stream) Basin

Liu

Zhao

2023

Energies

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“…Under the dual pressure of resources and environment, the traditional manufacturing industry is constrained by resource constraints and carbon emission reduction. Today, when the concept of green and sustainable development is in the people's hearts, people prefer the development of low-carbon environmental protection industry [60]. The automobile manufacturing industry is an important part of the manufacturing industry.…”

Section: Empirical Analysismentioning

confidence: 99%

Assessment of Enterprise Life Cycle Based on Two-Stage Logistic Model: Exemplified by China’s Automobile Manufacturing Enterprises

Wang

2022

Sustainability

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Enterprises in socio-economic ecosystems, like organisms in natural ecosystems, have life cycles. Since the enterprise life cycle theory was proposed, how to measure the enterprise life cycle has been a hot research topic. In order to assess the life cycle of an enterprise, a two-stage logistic model was proposed in this research, based on ecological theory and a population dynamics model. The first-stage logistic model measures the internal inhibition coefficient, intrinsic growth rate, and theoretical upper limit of enterprise development scale. The second-stage logistic model deals with the theoretical upper limit of enterprise development scale in the declining period, and measures the intrinsic growth rate, internal inhibition coefficient, and the theoretical upper limit of enterprise development scale in the declining period. In this study, an empirical analysis is conducted with Chinese automobile enterprises, which shows that an enterprise should withdraw from the market by insolvency liquidation or restructuring when both the intrinsic growth rate and internal inhibition coefficient are less than zero. Finally, this paper proposes the evaluation matrix of intrinsic growth and market potential. This matrix can intuitively give the evaluation method of the enterprise life cycle.

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“…With the continuous progress in urbanisation and industrial civilisation, production activities mainly based on fossil energy sources have led to a constant rise in carbon emissions, posing significant challenges to the ecosystem and economic development [1]. The emission of greenhouse gases such as carbon dioxide (CO 2 ) increases global air temperature and extreme weather.…”

Section: Introductionmentioning

confidence: 99%

“…The main contributions of this study include the following. (1) The research perspective of this study differs from that of existing studies, which mainly focused on the influences of the traditional urban development model on carbon emission intensity. This study integrates smart city construction and environmental governance into the same research framework to explore the causal relationship between smart city construction and carbon emission intensity.…”

Section: Introductionmentioning

confidence: 99%

Does Smart City Construction Decrease Urban Carbon Emission Intensity? Evidence from a Difference-in-Difference Estimation in China

Zhang

Xiao

2022

Sustainability

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Climatic changes and environmental pollution caused by traditional urban development models have increased due to accelerated urbanisation and industrialisation. As a new model of urban development, smart city construction relies on digital technology reform to achieve intelligent urban governance, which is crucial for reducing carbon emission intensity and achieving regional green development. This paper constructs a multi-period DID model based on panel data from 283 cities from 2007 to 2019 to explore the impact of smart city construction on urban carbon emission intensity. This study found that smart city construction decreased urban carbon emissions intensity significantly and decreased carbon emissions per unit GDP in pilot areas by 0.1987 tonnes/10,000 CNY compared to that in non-pilot areas. According to a heterogeneity analysis, the integration of smart city developments could decrease carbon emission intensity in northern China’s cities and resource-based cities significantly but had an insignificant influence on carbon emission intensity in southern China’s cities and non-resource-based cities. The reason for this finding is that northern cities and resource-based cities have a higher carbon emission intensity and enjoy more marginal benefits from smart city construction. Based on an analysis of the influencing mechanisms, smart city construction can decrease urban carbon emission intensity by stimulating green innovation vitality, upgrading industrial structures, and decreasing energy consumption. These research conclusions can provide directions for urban transformation and low-carbon development, as well as a case study and experience for countries that have not yet established smart city construction.

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Research on the Evaluation and Regional Differences in Carbon Emissions Efficiency of Cultural and Related Manufacturing Industries in China’s Yangtze River Basin

Cited by 6 publications

References 57 publications

Study on the Spatial Characteristics and Spillover Effects of Carbon Emissions in the Yangtze River (Main Stream) Basin

Study on the Spatial Characteristics and Spillover Effects of Carbon Emissions in the Yangtze River (Main Stream) Basin

Assessment of Enterprise Life Cycle Based on Two-Stage Logistic Model: Exemplified by China’s Automobile Manufacturing Enterprises

Does Smart City Construction Decrease Urban Carbon Emission Intensity? Evidence from a Difference-in-Difference Estimation in China

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