Influencing Factors and Mechanism of Rural Carbon Emissions in Ecologically Fragile Energy Areas—Taking Ejin Horo Banner in Inner Mongolia as an Example

Jian Wang, Dongqian Xue, Meng Wang and Weibin Yan
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Jian Wang: School of Humanities, Shaanxi University of Technology, Hanzhong 723001, China
Dongqian Xue: School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
Meng Wang: College of Chemical and Environmental Science, Shaanxi University of Technology, Hanzhong 723001, China
Weibin Yan: School of Humanities, Shaanxi University of Technology, Hanzhong 723001, China

Sustainability, 2022, vol. 14, issue 12, 1-11

Abstract: To achieve carbon neutrality in our country, studying the carbon emissions of rural residents in ecologically fragile energy areas is an important way to scientifically explore a green and low-carbon development mechanism of rural regional systems. Taking Ejin Horo Banner as an example, and based on the survey data drawn from it, this paper analyzes the characteristics and mechanism of carbon emissions in rural regional systems by using the methods of the carbon emissions factor method and multiple stepwise regression. The result showed that: (1) in the total composition of carbon emissions in Ejin Horo Banner, the sources of rural carbon emissions had remarkable characteristics. Energy consumption and livestock and poultry breeding accounted for the largest proportion, 63.89% and 22.72%, respectively. (2) In the family attributes of the rural villages in Ejin Horo Banner, the two factors that had the greatest correlation with the total carbon emissions were age and income. In energy consumption, the largest correlation coefficient with carbon emissions was 0.804 for coal, and the lowest was 0.550 for gasoline. In agricultural inputs, chemical fertilizer had the strongest correlation with carbon emissions, with a correlation coefficient of 0.734, and irrigation had the weakest, with a correlation coefficient of 0.657. In livestock production, cattle had the strongest correlation with carbon emissions, with a correlation coefficient of 0.724. In family life, the factors of daily diet consumption had a strong correlation with carbon emissions, among which the highest was the liquor consumption at 0.784, and the lowest was wastewater treatment at 0.442. (3) The multiple stepwise regression result showed that in the three production and living sectors of energy consumption, agricultural and animal husbandry investment, and household life, 21 factors had a significant predictive power on the carbon emissions in the rural regional systems of Ejin Horo Banner. Through the analysis, it was found that accelerating the popularization of green energy-saving technology, promoting the transformation of rural traditional energy utilization, improving energy efficiency, and advocating a green lifestyle are the important ways to realize rural green development in ecologically fragile energy areas.

Keywords: rural carbon emissions; influencing factors; mechanism; Ejin Horo Banner (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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