scholarly journals Empirical Research on Decoupling Relationship between Energy-Related Carbon Emission and Economic Growth in Guangdong Province Based on Extended Kaya Identity

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Wenxiu Wang ◽  
Yaoqiu Kuang ◽  
Ningsheng Huang ◽  
Daiqing Zhao
Keyword(s):  
Economic Growth ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Carbon Sink ◽  
Quantitative Model ◽  
Total Production ◽  
Economic Output ◽  
Population Urbanization ◽  
Kaya Identity ◽  
Land Urbanization

The decoupling elasticity decomposition quantitative model of energy-related carbon emission in Guangdong is established based on the extended Kaya identity and Tapio decoupling model for the first time, to explore the decoupling relationship and its internal mechanism between energy-related carbon emission and economic growth in Guangdong. Main results are as follows. (1) Total production energy-related carbon emissions in Guangdong increase from4128×104 tC in 1995 to14396×104 tC in 2011. Decoupling elasticity values of energy-related carbon emission and economic growth increase from 0.53 in 1996 to 0.85 in 2011, and its decoupling state turns from weak decoupling in 1996–2004 to expansive coupling in 2005–2011. (2) Land economic output and energy intensity are the first inhibiting factor and the first promoting factor to energy-related carbon emission decoupling from economic growth, respectively. The development speeds of land urbanization and population urbanization, especially land urbanization, play decisive roles in the change of total decoupling elasticity values. (3) Guangdong can realize decoupling of energy-related carbon emission from economic growth effectively by adjusting the energy mix and industrial structure, coordinating the development speed of land urbanization and population urbanization effectively, and strengthening the construction of carbon sink.

scholarly journals Impact of Land Urbanization on Carbon Emissions in Urban Agglomerations of the Middle Reaches of the Yangtze River

2021 ◽  
Vol 18 (4) ◽  
pp. 1403
Author(s):  
Di Zhang ◽  
Zhanqi Wang ◽  
Shicheng Li ◽  
Hongwei Zhang
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Yangtze River ◽  
Carbon Emission ◽  
Energy Intensity ◽  
Urban Expansion ◽  
The Yangtze River ◽  
Identity Model ◽  
Kaya Identity ◽  
Land Urbanization

The urban agglomerations in the middle reaches of the Yangtze River (MYR-UA) are facing a severe challenge in reducing carbon emissions while maintaining stable economic growth and prioritizing ecological protection. The energy consumption related to land urbanization makes an important contribution to the increase in carbon emissions. In this study, an IPAT/Kaya identity model is used to understand how land urbanization affected carbon emissions in Wuhan, Changsha, and Nanchang, the three major cities in the middle reaches of the Yangtze River, from 2000 to 2017. Following the core idea of the Kaya identity model, sources of carbon emissions are decomposed into eight factors: urban expansion, economic level, industrialization, population structure, land use, population density, energy intensity, and carbon emission intensity. Furthermore, using the Logarithmic Mean Divisia Index (LMDI), we analyze how the different time periods and time series driving forces, especially land urbanization, affect regional carbon emissions. The results indicate that the total area of construction land and the total carbon emissions increased from 2000 to 2017, whereas the growth in carbon emissions decreased later in the period. Energy intensity is the biggest factor in restraining carbon emissions, followed by population density. Urban expansion is more significant than economic growth in promoting carbon emissions, especially in Nanchang. In contrast, the carbon emission intensity has little influence on carbon emissions. Changes in population structure, industrial level, and land use vary regionally and temporally over the different time period.

scholarly journals Factors Affecting Energy-Related Carbon Emissions in Beijing-Tianjin-Hebei Region

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Jing-min Wang ◽  
Yu-fang Shi ◽  
Xue Zhao ◽  
Xue-ting Zhang
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Energy Structure ◽  
Factors Affecting ◽  
Economic Output ◽  
Level Model ◽  
The Impact ◽  
The Relationship

Beijing-Tianjin-Hebei is a typical developed region in China. The development of economy has brought lots of carbon emissions. To explore an effective way to reduce carbon emissions, we applied the Logarithmic Mean Divisia Index (LMDI) model to find drivers behind carbon emission from 2003 to 2013. Results showed that, in Beijing, Tianjin, and Hebei, economic output was main contributor to carbon emissions. Then we utilized the decoupling model to comprehensively analyze the relationship between economic output and carbon emission. Based on the two-level model, results indicated the following: (1) Industry sector accounted for almost 80% of energy consumption in whole region. The reduced proportion of industrial GDP will directly reduce the carbon emissions. (2) The carbon factor for CO2/energy in whole region was higher than that of Beijing and Tianjin but lower than that of Hebei. The impact of energy structure on carbon emission depends largely on the proportion of coal in industry. (3) The energy intensity in whole region decreased from 0.79 in 2003 to 0.40 in 2013 (unit: tons of standard coal/ten thousand yuan), which was lower than national average. (4) The cumulative effects of industrial structure, energy structure, and energy intensity were negative, positive, and negative, respectively.

An Analysis of the Effects of Economic Growth, Industrial Structure and Energy Efficiency on Carbon Emission of Jilin Province

2014 ◽  
Vol 675-677 ◽  
pp. 1789-1792 ◽  
Author(s):  
Feng Lian Sun ◽  
Wei Du
Keyword(s):  
Economic Growth ◽  
Energy Efficiency ◽  
Green Function ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Var Model ◽  
Energy Transformation ◽  
Efficiency Change ◽  
Structure Changes ◽  
Emission Growth

Based on VAR model, the effects of economic growth, industrial structure and energy efficiency on Jilin province’s carbon emission have been analyzed. It is found out that economic growth and energy efficiency change in the opposite direction of carbon emission, while industrial structure changes in the same direction of it, which are main reasons for carbon emission growth. According to this, government should apply its “green function” so as to adjust industrial structure, improve energy transformation and energy efficiency.

scholarly journals Urbanization and Economic Growth in China—An Empirical Research Based on VAR Model

2017 ◽  
Vol 9 (3) ◽  
pp. 210 ◽  
Author(s):  
Li Yang Zi
Keyword(s):  
Economic Growth ◽  
Series Data ◽  
Var Model ◽  
Resident Population ◽  
Urbanization Rate ◽  
Population Urbanization ◽  
Positive Effect ◽  
Land Urbanization

This paper takes the relation between urbanization and economic growth in China as the object of study. By using the time series data ranging from 1982 to 2014 and building VAR model, it analyzes, respectively, the dynamic relations between economic growth and the urbanization rate of resident population, the urbanization rate of land and the quality of urbanization. The paper comes up with the following conclusions: there exists a unidirectional causality between resident population urbanization and China’s economic growth, the former promoting the long-term growth of the latter; unidirectional causality also exists between land urbanization rate and China’s economic growth. However, different from resident population urbanization rate, it is the economic growth of China that promotes the increase of land urbanization rate and the increase of land urbanization rate cannot promote China’s economic growth; the relation between the quality of urbanization and China’s economic growth is a two-way causality. The improvement of urbanization quality has a cumulative positive effect on the economic growth of China, while economic growth has a negative effect on the improvement of urbanization quality in the short term and positive effect on economic growth in the long term.

Decomposition analysis of the decoupling process between economic growth and carbon emission in Beijing city, China: A sectoral perspective

2019 ◽  
Vol 31 (6) ◽  
pp. 961-982 ◽  
Author(s):  
Min Su ◽  
Shasha Wang ◽  
Rongrong Li ◽  
Ningning Guo
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
National Level ◽  
Decomposition Analysis ◽  
Transport Sector ◽  
Beijing City ◽  
Emission Mitigation ◽  
Economic Output ◽  
Industrial Sectors

Cities play a major role in decoupling economic growth from carbon emission for their significant role in climate change mitigation from national level. This paper selects Beijing (economic center and leader of emission reduction in China) as a case to examine the decoupling process during the period 2000–2015 through a sectoral decomposition analysis. This paper proposes the decoupling of carbon emission from economic growth or sectoral output by defining the Tapio decoupling elasticity, and combined the decoupling elasticity with decomposition technique such as Logarithmic Mean Divisia Index approach. The results indicate that agriculture and industrial sectors presented strong decoupling state, and weak decoupling is detected in construction and other industrial sectors. Meanwhile, transport sector is in expansive negative decoupling while trade industry shows expansive coupling during the study period. Per-capita gross domestic product, industrial structure, and energy intensity are the most significant effects influencing the decoupling process. Agriculture and industry are conducive to decoupling of carbon emissions from economic output, while transport and trade are detrimental to the realization of strong decoupling target between 2000 and 2015. However, construction and other industrial sectors exerted relatively little minor impact on the whole decoupling process. Improving and promoting energy-saving technologies in transport sector and trade sector should be the key strategy adjustments for Beijing to reduce carbon emissions in the future. The study aims to provide effective policy adjustments for policy makers to accelerate the decoupling process in Beijing, which, furthermore, can lay a theoretical foundation for other cities to develop carbon emission mitigation polices more efficiently.

scholarly journals Coupling Coordinated Development and Exploring Its Influencing Factors in Nanchang, China: From the Perspectives of Land Urbanization and Population Urbanization

Land ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 178 ◽  
Author(s):  
Tiangui Lv ◽  
Li Wang ◽  
Xinmin Zhang ◽  
Hualin Xie ◽  
Hua Lu ◽  
...  
Keyword(s):  
Industrial Structure ◽  
Economic Transition ◽  
Positive Impact ◽  
Coordinated Development ◽  
Coordination Model ◽  
Per Capita ◽  
Negative Impacts ◽  
Population Urbanization ◽  
Land Urbanization ◽  
Coordination Degree

The coordination relationship between land urbanization and population urbanization is crucial for achieving sustainable development under economic transition. Moreover, the balance between land urbanization and population urbanization is essential to guarantee the urbanization process of an entire city. This paper empirically analyzes the interaction between land urbanization and population urbanization in Nanchang from 2002 to 2017 based on the coupling coordination model (CCM). The impacts of the coordination degree on coordinated development are quantified by multivariate linear regression (MLR). The results show the following: (1) The indices of land urbanization and population urbanization in Nanchang showed an upward trend, and therefore the coordination degree in Nanchang increased significantly from 2002 to 2017. (2) The coordinated development of urbanization underwent two stages: disordered and moderately disordered. (3) The urban population proportion and the supporting capability of agricultural production had a positive impact on coordinated development. Meanwhile, the results also show that per capita education expenditures and the per capita public green area had negative impacts on the coordination degree, while economic development and the urban industrial structure were positive contributors to the coordination degree. Finally, this paper proposes that policies should be formulated to achieve coordinated development of urbanization. It can be concluded that the results regarding coordinated development of urbanization can help decision makers formulate effective measures to achieve coordinated development in the future.

Study on Low-Carbon Emission Economic Pattern Based on Transformation and Upgrading of Zhenjiang's Industrial Structure

2013 ◽  
Vol 291-294 ◽  
pp. 1395-1401
Author(s):  
Wen Li ◽  
Qiang Mei ◽  
Meng Yun Wu
Keyword(s):  
Economic Growth ◽  
Economic Model ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Regional Economics ◽  
Low Carbon ◽  
Multiple Perspectives ◽  
Industrial Structures ◽  
Input Structure ◽  
Low Carbon Emission

This paper analyzes the industrial structure of Zhenjiang city with multiple perspectives in Jiangsu province in China, such as: input structure, output structure and their contributions to GDP. The study focuses on the industrial structures themselves and the relations among them with the drawing of industrial economics theory, regional economics and priority economic growth theory. The shifting mode about Zhenjiang's industrial structures during the 10th Five-Year and the 11th Five-Year plans are presented in detail and in depth in this paper. The contribution to economic growth caused by upgrading of industrial structures in low-carbon emission economic model is analyzed. Finally, it is proposed an economic model system based on the transformation and upgrading of industrial structures.

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