The impact of industrial aggregation on carbon emission intensity: evidence from the grain and oil processing sector
Youshuai Feng (),
Shuchao Miao and
Rong Du
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Youshuai Feng: Huzhou University
Shuchao Miao: Nanjing University of Posts and Telecommunications
Rong Du: Nanjing University of Finance and Economics
Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2025, vol. 27, issue 1, No 70, 2025-2053
Abstract:
Abstract Industrial aggregation, energy savings, and emission reduction are the key factors in determining whether green and high-quality development for China's grain and oil processing sector can be realized. This study examines the relationship and influence mechanism between grain and oil processing industrial aggregation (GOPIA) and carbon emission intensity (CEI) using China's 30 provinces data spanning from 2008 to 2019. Then, we investigate the mediating mechanism of composite technical efficiency and the regulating mechanism of environmental regulation. The result shows a significant positive association between GOPIA and CEI. The heterogeneity analysis shows that the GOPIA in the western region and the edible vegetable oil processing industrial aggregation significantly increases the CEI. The mechanism analysis shows that GOPIA can increase CEI by improving composite technical efficiency, where scale efficiency dominates the mediating mechanism of composite technical efficiency. In addition, environmental regulation deepens the aggravating effect of GOPIA on CEI. Therefore, achieving low-carbon development in the grain and oil processing sector should strengthen the support efforts for leading enterprises, promote collaboration along the industrial chain's upstream and downstream sectors, accelerate research and development toward green technologies, and reasonably adjust the standard of environmental regulation.
Keywords: Grain and oil processing industrial aggregation; Carbon emissions; Composite technical efficiency; Mediating effect model; Moderating effect model (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10668-023-03954-y
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