Heterogeneous strategy and performance decomposition of regional industries in China: From the perspective of resource misallocation

Abstract The rapid expansion of China's industrial sector has been accompanied by energy consumption and environmental pollution. Accurately identifying the sources of inefficiency of industrial sector is crucial for achieving sustainable development. To address this issue, this study develops a novel decomposition approach that combines the concepts of natural and managerial disposability with an aggregate directional distance function approach to measure the performance of regional industries in China from 2006 to 2019. In the proposed approach, the overall inefficiency is decomposed into technical inefficiency and structural inefficiency. The latter component, which captures inefficiency associated with resource misallocation within a country, is further divided into mix and scale elements. The results show that there remains much room for potential improvement in both the operational and environmental performance of China's industrial system, particularly in the central area. Furthermore, structural inefficiency is the primary contributor to the overall inefficiency of Chinese industry under natural disposability, whereas technical inefficiency appears as the main source of the inefficiency under managerial disposability. The results also reveal great disparities in terms of the overall inefficiency and the sources of inefficiency of Chinese industrial sector among regions between different mitigation strategies. Given the substantial structural effect on the performance of Chinese industries across regions, it is necessary to accelerate the establishment of market mechanisms to promote efficient allocation of resources.

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Publication Details

Journal
Natural Resources Forum
Published
2024-10-02
DOI
https://doi.org/10.1111/1477-8947.12568
Citations
1
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.49
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article

Heterogeneous strategy and performance decomposition of regional industries in China: From the perspective of resource misallocation

Kangjuan Lv, Siwei Zhu, Bin Su, Yu Cheng
1 citations
Natural Resources Forum
Efficiency Analysis Using DEA
0.49
article

Heterogeneous strategy and performance decomposition of regional industries in China: From the perspective of resource misallocation

Kangjuan Lv, Siwei Zhu, Bin Su, Yu Cheng
article en
1 citations

Abstract

Abstract The rapid expansion of China's industrial sector has been accompanied by energy consumption and environmental pollution. Accurately identifying the sources of inefficiency of industrial sector is crucial for achieving sustainable development. To address this issue, this study develops a novel decomposition approach that combines the concepts of natural and managerial disposability with an aggregate directional distance function approach to measure the performance of regional industries in China from 2006 to 2019. In the proposed approach, the overall inefficiency is decomposed into technical inefficiency and structural inefficiency. The latter component, which captures inefficiency associated with resource misallocation within a country, is further divided into mix and scale elements. The results show that there remains much room for potential improvement in both the operational and environmental performance of China's industrial system, particularly in the central area. Furthermore, structural inefficiency is the primary contributor to the overall inefficiency of Chinese industry under natural disposability, whereas technical inefficiency appears as the main source of the inefficiency under managerial disposability. The results also reveal great disparities in terms of the overall inefficiency and the sources of inefficiency of Chinese industrial sector among regions between different mitigation strategies. Given the substantial structural effect on the performance of Chinese industries across regions, it is necessary to accelerate the establishment of market mechanisms to promote efficient allocation of resources.

Natural Resources ForumVol. 50(1)
Shanghai University (CN), National University of Singapore (SG)
Openalex Percentile: Top 30%
Efficiency Analysis Using DEA
0.49
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