Analysis of the Synergistic Development of Rural Carbon Intensity and Rural Revitalisation in China
Based on the measurement of China's rural carbon emission intensity and the development level of rural revitalisation from 2010 to 2020,the study explores the degree of coupling and coordination between the two,conducts spatial autocorrelation analyses,and uses the PVAR model to support the interactive effects of rural carbon emission intensity and rural revitalisation.The results of the study show that:China's rural carbon emission intensity fluctuates down,the development level of rural revitalisation continues to rise,but the inter-regional development is more differentiated;the degree of coordination between the two couplings is steadily increasing,from the medium coordination at the beginning of the period to the high-quality coordination state,with positive spatial correlation,which mainly manifests itself in the distribution of two types of high-high agglomeration and low-low agglomeration,and the degree of agglomeration is decreasing year by year;the long-term stable covariance exists between the intensity of rural carbon emission and rural revitalisation.There is a long-term stable cointegration relationship between rural carbon emission intensity and rural revitalisation,rural carbon emission intensity and rural revitalisation have a larger impact effect on themselves,and the inhibitory effect of rural carbon emission intensity on the development of rural revitalisation is stronger than the promotional effect of rural revitalisation on rural carbon emission intensity.Based on the empirical analysis,it is recommended to strengthen the construction of the policy system,enhance the regulation of carbon emissions,implement the subsidy policy,and promote the innovation of agricultural technology in order to promote the transformation of agricultural production methods to low-carbon,so as to achieve the synergistic development of rural carbon emissions and rural revitalisation.
rural carbon emissionsrural revitalizationcoupling coordinationPVAR modelsynergistic development