This paper studies the border effects and sensitivity of the economic output of manufacturing in Jiangsu, China, caused by meteorological and environmental factors. The meteorological data, environmental data and annual manufacturing data of Jiangsu from 1993 to 2011 are used as input for this paper. Based on the Douglas production function and the grey correlation analysis method, this paper discusses the typical relationship among meteorological disaster factors, environmental regulations and the economic output of manufacturing in Jiangsu, China. The empirical analysis shows that the development of typical manufacturing in Jiangsu, China, is influenced by meteorological and environmental factors. 相似文献
Technical change has a pivotal role to play in low-carbon development. Recent research has offered different insights regarding the effect of technical change on CO2 emissions but ignored the bias of technical changes which lead to changes in CO2 emissions. To fill the gap, this paper uses the 2008 to 2015 provincial-level data on China’s 22 industrial sub-sectors to investigate both the effect of directed technical change on CO2 emissions and its heterogeneity. We find that the technical change in most industrial sectors in China was capital-biased, although a labor-biased trend was evident. Labor-biased technical change is conducive to CO2 reduction, while capital-biased technical change has the opposite effect. Moreover, this effect is different by developmental periods, industries, and regions. Therefore, we propose that the government promotes labor-biased technical change based on the differentiated characteristics.