Carbon Dioxide Emissions Stimulation and Analysis Based On City Industrial Structure and DMSP-OLS Nighttime Light Data

The coordination development of economy-energy-environment was discussed with traditional environmental loads model, combined with "decoupling" theory. Considering the possibilities of social and economic development, this paper set out three scenarios, and analyzed quantitatively the indexes, which affected carbon dioxide emissions, including population, per capita GDP, industrial structure and energy structure. Based on this, it forecasted carbon dioxide emissions in China in future. By comparing the prediction results, it held that policy scenario was the more realistic scenario, what’s more it can achieve emission reduction targets with the premise of meeting the social and economic development goals. At last, it put forward suggestions to implement successfully policy scenario, from energy structure, industrial structure, low-carbon technology and so on.

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An Examination of Green Credit Promoting Carbon Dioxide Emissions Reduction: A Provincial Panel Analysis of China

Sustainability ◽

10.3390/su13137148 ◽

2021 ◽

Vol 13 (13) ◽

pp. 7148

Author(s):

Wenjie Zhang ◽

Mingyong Hong ◽

Juan Li ◽

Fuhong Li

Keyword(s):

Carbon Dioxide ◽

Carbon Emissions ◽

Carbon Dioxide Emissions ◽

Industrial Structure ◽

Emissions Reduction ◽

Green Finance ◽

Carbon Emissions Reduction ◽

Negative Effect ◽

Emissions Intensity ◽

The Impact

The implementation of green finance is a powerful measure to promote global carbon emissions reduction that has been highly valued by academic circles in recent years. However, the role of green credit in carbon emissions reduction in China is still lacking testing. Using a set of panel data including 30 provinces and cities, this study focused on the impact of green credit on carbon dioxide emissions in China from 2006 to 2016. The empirical results indicated that green credit has a significantly negative effect on carbon dioxide emissions intensity. Furthermore, after the mechanism examination, we found that the promotion impacts of green credit on industrial structure upgrading and technological innovation are two effective channels to help reduce carbon dioxide emissions. Heterogeneity analysis found that there are regional differences in the effect of green credit. In the western and northeastern regions, the effect of green credit is invalid. Quantile regression results implied that the greater the carbon emissions intensity, the better the effect of green credit. Finally, a further discussion revealed there exists a nonlinear correlation between green credit and carbon dioxide emissions intensity. These findings suggest that the core measures to promote carbon emission reduction in China are to continue to expand the scale of green credit, increase the technology R&D investment of enterprises, and to vigorously develop the tertiary industry.

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Carbon Dioxide Emissions, Urbanization Level and Industrial Structure: Empirical Evidence from North China

10.21203/rs.3.rs-342919/v1 ◽

2021 ◽

Author(s):

Zhuoya Siqin ◽

Dongxiao Niu ◽

Mingyu Li ◽

Hao Zhen ◽

Xiaolong Yang

Keyword(s):

Carbon Dioxide ◽

Carbon Dioxide Emissions ◽

North China ◽

Industrial Structure ◽

Unit Root Test ◽

Panel Cointegration ◽

Test Panel ◽

Causality Test ◽

Cross Sectional ◽

Urbanization Level

Abstract This paper aims to examine the nexus among carbon dioxide (CO2) emissions, urbanization level and industrial structure in North China over the period 2004–2019, according to an expanded Cobb-Douglas production function. The panel econometric techniques are employed to complete the empirical analysis, including cross-sectional correlation test, panel unit root test, panel cointegration test and panel Granger causality test. The empirical results support the long-term equilibrium relationship among CO2 emissions, urbanization level and industrial structure in North China, and the urbanization level contributes most to CO2 emissions, followed by fossil energy consumption. Furthermore, the bidirectional causality between CO2 emissions and urbanization level and unidirectional causality from industrial structure to CO2 emissions are found in North China, indicating that urbanization level and industrial structure have significant impacts on CO2 emissions. Finally, according to the empirical findings, several policy suggestions are proposed for the purpose of reducing CO2 emissions in North China.

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Industrial Structure and Source of Carbon Dioxide Emissions in East Asia: Estimation and Comparison

Energy & Environment ◽

10.1177/0958305x9800900505 ◽

1998 ◽

Vol 9 (5) ◽

pp. 509-533 ◽

Cited By ~ 21

Author(s):

Hyun-Sik Chung

Keyword(s):

Carbon Dioxide ◽

Carbon Dioxide Emissions ◽

Lower Cost ◽

Industrial Structure ◽

Fuel Efficiency ◽

Industrial Sector ◽

Asian Countries ◽

Absolute Term ◽

Joint Effort ◽

Production Techniques

This study estimates and compares carbon dioxide (CO2) emissions of three East Asian countries; China, Japan and South Korea by using the well-known input-output model. The differences in CO2 emissions between countries are then analyzed by a decomposition method. The sources of differences in CO2 emissions are attributed to various factors such as different fuel efficiency, production techniques, consumption patterns and the size of the economy. It is argued that an industrial sector with high total emission intensity (TEI) can reduce pollution at lower cost than others with low TEI, assuming that the reduction in emissions entails reduction in output. In this connection, China provides a challenging case for a potential regional joint effort towards the CO2 reduction, because her emissions are shown to be the largest, both in the absolute term and in terms of average TEI.

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