Driving factors analysis of agricultural carbon emissions based on extended STIRPAT model of Jiangsu Province, China

2020 ◽  
Vol 51 (3) ◽  
pp. 1401-1416 ◽  
Author(s):  
Chuanhe Xiong ◽  
Shuang Chen ◽  
Liting Xu
Keyword(s):  
Carbon Emissions ◽  
Jiangsu Province ◽  
Driving Factors ◽  
Stirpat Model ◽  
Factors Analysis

scholarly journals Examining the Driving Factors of the Direct Carbon Emissions of Households in the Ebinur Lake Basin Using the Extended STIRPAT Model

2021 ◽  
Vol 13 (3) ◽  
pp. 1339
Author(s):  
Ziyuan Chai ◽  
Zibibula Simayi ◽  
Zhihan Yang ◽  
Shengtian Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Driving Factors ◽  
Series Data ◽  
Lake Basin ◽  
Stirpat Model ◽  
Consumption Structure ◽  
Ebinur Lake ◽  
Ebinur Lake Basin

In order to achieve the carbon emission reduction targets in Xinjiang, it has become a necessary condition to study the carbon emission of households in small and medium-sized cities in Xinjiang. This paper studies the direct carbon emissions of households (DCEH) in the Ebinur Lake Basin, and based on the extended STIRPAT model, using the 1987–2017 annual time series data of the Ebinur Lake Basin in Xinjiang to analyze the driving factors. The results indicate that DCEH in the Ebinur Lake Basin during the 31 years from 1987 to 2017 has generally increased and the energy structure of DCEH has undergone tremendous changes. The proportion of coal continues to decline, while the proportion of natural gas, gasoline and diesel is growing rapidly. The main positive driving factors affecting its carbon emissions are urbanization, vehicle ownership and GDP per capita, while the secondary driving factor is residents’ year-end savings. Population, carbon intensity and energy consumption structure have negative effects on carbon emissions, of which energy consumption structure is the main factor. In addition, there is an environmental Kuznets curve between DCEH and economic development, but it has not yet reached the inflection point.

scholarly journals Effects of straw’s comprehensive utilization-technology on agricultural carbon emission in Jiangsu Province

2021 ◽  
Vol 267 ◽  
pp. 01014
Author(s):  
Xue Qin ◽  
Jun Yan ◽  
G.Y. Zhu
Keyword(s):  
Influencing Factors ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Explanatory Variable ◽  
Inhibitory Effect ◽  
Jiangsu Province ◽  
Stirpat Model ◽  
Comprehensive Utilization ◽  
The Core

Straw resources are abundant in Jiangsu province, the utilization and burning of straw is an important problem in agriculture carbon emission reduction. In order to analyze the effect of straw’s comprehensive utilization technology on agricultural carbon emission, the STIRPAT model is introduced, which takes straw utilization technology as the core explanatory variable while other influencing factors as control variables, and the ridge regression is adopted to conduct an empirical analysis on the influencing factors of agricultural carbon emission in Jiangsu province from 2008 to 2018. The results demonstrate that for every 1% increasing of straw’s comprehensive utilization technology, agriculture carbon emission will be reduced by 0.17%; the labor force is the biggest driver of agriculture carbon emissions; agriculture economic development, energy consumption takes a certain inhibitory effect on agriculture carbon emissions, but not very great.

scholarly journals Trend Prediction and Decomposed Driving Factors of Carbon Emissions in Jiangsu Province during 2015–2020

2016 ◽  
Vol 8 (10) ◽  
pp. 1018 ◽  
Author(s):  
Decai Tang ◽  
Tingyu Ma ◽  
Zhijiang Li ◽  
Jiexin Tang ◽  
Brandon Bethel
Keyword(s):  
Carbon Emissions ◽  
Jiangsu Province ◽  
Driving Factors ◽  
Trend Prediction

Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang

2017 ◽  
Vol 67 ◽  
pp. 51-61 ◽  
Author(s):  
Changjian Wang ◽  
Fei Wang ◽  
Xinlin Zhang ◽  
Yu Yang ◽  
Yongxian Su ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Driving Factors ◽  
Stirpat Model ◽  
Model Based

scholarly journals An Analysis of Disparities and Driving Factors of Carbon Emissions in the Yangtze River Economic Belt

2019 ◽  
Vol 11 (8) ◽  
pp. 2362 ◽  
Author(s):  
Decai Tang ◽  
Yan Zhang ◽  
Brandon J. Bethel
Keyword(s):  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Yangtze River ◽  
Energy Intensity ◽  
Driving Factors ◽  
The Yangtze River ◽  
Stirpat Model ◽  
Per Capita Gdp ◽  
Positive Effects ◽  
Per Capita

As one of the “three major strategies” for China’s regional development, the Yangtze River Economic Belt (YREB) is under severe pressure to reduce carbon dioxide emissions, this paper analyzes the spatiotemporal disparities, and driving factors of carbon emissions based on energy consumption and related economic development data in the YREB over the 2005–2016 11-year period. Using the Stochastic Impacts Regression on Population, Affluence and Technology (STIRPAT) model, we empirically test the factors affecting YREB carbon emissions and key drivers in various provinces and municipalities. The main findings are as follows. First, per capita GDP, both industrial structure and energy intensity have positive effects on increasing carbon emissions. Second, per capita GDP and energy intensity have the largest impact on the increase of carbon emissions, and the urbanization rate has the largest inhibitory effect on carbon emissions.

scholarly journals Spatio-temporal variation and driving factors analysis of PM2.5 health risks in Chinese cities

2021 ◽  
Vol 129 ◽  
pp. 107937
Author(s):  
Qian Liu ◽  
Zheyu Zhang ◽  
Chaofeng Shao ◽  
Run Zhao ◽  
Yang Guan ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Health Risks ◽  
Driving Factors ◽  
Chinese Cities ◽  
Factors Analysis ◽  
Spatio Temporal

Driving Factors Analysis of Carbon Dioxide Emissions in China Based on STIRPAT Model

2013 ◽  
Vol 734-737 ◽  
pp. 1910-1914 ◽  
Author(s):  
Qiao Zhi Zhao ◽  
Qing You Yan
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
Carbon Dioxide Emission ◽  
Urbanization Process ◽  
Stirpat Model ◽  
Factors Analysis ◽  
Secondary Industry

China is developing at relatively high speed, not only the regional development speed should be focused upon, but also the environmental impact of economic growth should be paid attention to, especially the level change of carbon dioxide emission. To some degree, quantity of carbon dioxide emission has become one of the most important indexes for measuring quality of a nations economic growth. Thus, this thesis is trying to analyze the driving relations between economic growth and carbon dioxide. Upon STIRPAT model, ridge regression method and elasticity theory are applied to analyze the influencing factors of carbon dioxide quantity such as the population quantity, Chinas urbanization process, per capita GDP, energy density and the percentage of the secondary industry. Correspondingly, based on the different influencing variables to carbon dioxide emission quantity, needy measures are brought out to control and decrease emissions. Feasible suggestions are trying to improve Chinas economic development quality.

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