Dynamic Green Growth Assessment of China’s Industrial System with an Improved SBM Model and Global Malmquist Index

Fenfen Li, Bo Dai and Qifan Wu
Additional contact information
Fenfen Li: School of Public Administration, Hunan University of Finance and Economics, Changsha 410205, China
Bo Dai: School of Management, Hunan University of Technology and Business, Changsha 410205, China
Qifan Wu: School of Business, Central South University, Changsha 410083, China

Mathematics, 2021, vol. 9, issue 20, 1-26

Abstract: This study proposes a method for resource management and optimisation in the industrial sector of China. Differing from previous research on the green assessment of industrial systems focusing on “black box” evaluation, our approach contributes to the two-stage structure of an industrial system that consists of an industrial production process and a pollution treatment process. The corresponding network slack-based model (SBM) is proposed to analyse the performance of China’s provincial industry sector. Based on our network SBM, the global Malmquist index is built to analyse the total factor productivity changes of system and individual processes to evaluate the consistency of sustainable development where dynamic green growth assessment is realized. The results show that the whole system and its pollution treatment process performance are poor and disorganised, while the industrial production process maintains a stable ranking for the 30 regions in China. We find that the main cause of this phenomenon is the variable technical efficiency change in the 30 regions, which reflects the immaturity of the management of the pollution treatment process. System performance is also highly related to regionalism.

Keywords: efficiency evaluation; undesirable inputs/outputs; DEA; global Malmquist index (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/9/20/2594/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/20/2594/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:9:y:2021:i:20:p:2594-:d:657184

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().