An Empirical Study on the Influencing Factors of Carbon Emissions in Rural Areas of Pingdingshan Based on the Improved STIRPAT Model

Studying the impact of regional socioeconomic factors on carbon emissions is the scientific basis and basic guarantee for formulating, implementing and evaluating regional carbon emission reduction strategies. First, stepwise regression was used to select 10 significant explanatory variables from the 25 indicators of dynamic balance panel data in 6 counties under the jurisdiction of Pingdingshan City in the past 20 years, and then the extended STIRPAT model and panel regression were used to quantitatively analyze the effects of different influencing factors on regional carbon. The degree of emission impact is derived from the large to small impacts on carbon emissions in Pingdingshan's rural areas, including GDP, population, and industry. The causes are analyzed. Finally, corresponding policies are formulated based on the actual industry in Pingdingshan to achieve emission reduction targets.