Research on the Regional Differences and Emission Reduction Pathways of Environmental Pollution in China's Textile Industry
As a pillar industry of national economic and social development,environmental pollution control in the textile industry is crucial for the comprehensive establishment of China's green and low-carbon industrial development pattern.In this paper,the improved factor analysis method and Dagum Gini coefficient were uesd to examine the environmental pollution status and regional differences of China's textile industry,the simultaneous equation regression was used for conducting scenario analysis of textile industry environmental policies and exploring emission reduction paths.The results showed that from 1998 to 2021,the environmental pollution index of the textile industry at the national level slightly decreased.There were significant differences in environmental pollution in the textile industry among the eight comprehensive economic zones,but the overall Gini coefficient showed a downward trend.At the national level,increasing investment in environmental governance,strengthening environmental regulations,and increasing foreign direct investment had not effectively promoted pollution reduction in the textile industry.Policies of reducing energy consumption had effectively promoted pollution reduction in the textile industry,but they had also affected the growth of the textile economy to a certain extent.Based on this,a general path for pollution reduction in China's textile industry was proposed.From the average environmental pollution index of the textile industry in various economic zones,the middle reaches of the Yangtze River Economic Zone had the highest value,while the rest were ranked from high to low in the eastern coastal economic zone,southern coastal economic zone,northern coastal economic zone,southwestern economic zone,northwestern economic zone,the middle reaches of the Yellow River Economic Zone,and northeast economic zone.Based on this,a differentiated path for pollution reduction in China's textile industry was proposed.
万方数据
维普
