Impacts of Industrial Agglomeration and Energy Intensity on Industrial Eco-Efficiency-Analysis Based on Spatial Correlation and Mediating Effect

Abstract

As a measuring tool of industrial sustainable development, industrial eco-efficiency works as a link between economic benefit and environmental pressure. Industrial agglomeration and energy have always been considered an important influence factor on industrial eco-efficiency. The Chinese government is facing the challenge of reaching a Carbon Peak by the 2060s, within this context, it is critically important to explore the relationship between industrial agglomeration and industrial eco-efficiency, moreover, energy intensity may play a key role between them, which should not be ignored. Therefore, based on the STIRPAT model, this paper constructs a spatial autocorrelation model (SAC model) to analyze the provincial panel dataset from 2009 to 2018, and it is found that: First, the industrial agglomeration has an inverted N-shaped relationship with industrial eco-efficiency, and industrial eco-efficiency indeed have a positive spatial spillover effect. Second, energy intensity plays a mediating role, industrial agglomeration would affect industrial eco-efficiency through energy intensity. Therefore, it is suggested that the government should introduce differentiated industrial agglomeration policies as well as energy-saving policies. In addition, this paper suggests that policymakers should adhere to consistent industrial sustainable development policies.

Evaluation of County Agricultural Eco-Efficiency in Chongqing and Analysis of Its Spatiotemporal Differentiation under the Dual Carbon Target

“…The second aspect of the study focuses on the examination of the spatiotemporal evolution characteristics of AEE. This investigation primarily employs analytical techniques such as kernel density estimation analysis [13], a spatial autocorrelation model [14,15], and the building of a spatial Markov probability transfer matrix [16]. The third aspect pertains to the examination of the many components that exert influence on AEE.…”

Identifying impacts of industrial co-agglomeration on carbon emissions: Evidence from China

“…The final category of literature has made the assertion that the nexus between IC and environmental pollutant emission issues is non-linear in different development stages from the diversity perspectives ( 18 – 20 ). For example, a typical non-linear shaped nexus between IC and green development ( 21 ), haze pollution ( 22 ), and industrial eco-efficiency ( 23 ) have been proposed in recent research. In addition, the multiform nonlinear relationship between IC and carbon emissions is also gradually being proposed and proved by scholars, such as inverted N-shaped nexus ( 24 , 25 ), an inverse U-curve nexus ( 8 , 26 ), a U-curve nexus ( 7 , 20 ), and so on.…”

The Effect of Industrial Agglomeration on Agricultural Green Production Efficiency: Evidence from China

“…First, industrial agglomeration promotes agricultural green production efficiency [8]; that is, industrial agglomerations have effects such as scale and knowledge spillover, which can continuously stimulate the endogenous momentum of agricultural green development by improving technological innovation, boosting regional competitiveness, optimizing resource allocation, and specializing the division of labor, among other things. Second, industrial agglomeration prevents increases in agricultural green production efficiency [9]. The congestion effect, which occurs when resource consumption exceeds the environment's capacity, is triggered by excessive industrial agglomeration.…”