Cultural Industry Agglomeration and Carbon Emission Performance: Empirical Analysis Based on 276 Cities in China

Tinglei Hao, Jiajie Ren, Chuanming Sun, Lu Chen () and Tao Liu ()
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Tinglei Hao: School of Management, Wuhan Polytechnic University, Wuhan 430048, China
Jiajie Ren: School of Management, Wuhan Polytechnic University, Wuhan 430048, China
Chuanming Sun: National Research Center of Cultural Industries, Central China Normal University, Wuhan 430079, China
Lu Chen: School of Management, Wuhan Polytechnic University, Wuhan 430048, China
Tao Liu: National Research Center of Cultural Industries, Central China Normal University, Wuhan 430079, China

Sustainability, 2024, vol. 16, issue 20, 1-20

Abstract: This study investigated the influence of cultural industry agglomeration on the energy carbon emission performance (CEP). Based on panel data from 276 cities in China, we used the Super-SBM model to measure the CEP. We then used the Tobit regression model to calculate the influence coefficient of cultural industry agglomeration and eight control variables on the CEP and analyzed the complex effects of cultural industry agglomeration on the CEP. The results showed that there is the phenomenon of “diseconomies of agglomeration” in cultural industry agglomeration, which cannot improve the CEP. For each unit of cultural industry agglomeration increase, the CEP decreases by 0.055; however, this phenomenon is not linear. Further research showed that the effects of cultural industry agglomeration showed a trend from good to inferior in the order of east, central, and west and did not improve with time. Finally, we used the panel quantile regression model and found that as the CEP levels rise, the negative impact of cultural industry agglomeration improves. Our research results show that strengthening the technical level to promote the upgrading of the cultural industry is the best way to achieve sustainable development. Governments at all levels should pay attention to the emission reduction potential of cultural industry agglomeration under high CEP levels and strengthen the benign agglomeration of the cultural industry.

Keywords: carbon emission performance; cultural industry agglomeration; diseconomies of agglomeration; panel quantile regression model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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