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Green Total Factor Productivity Measurements and Spatial Association Network Characteristics of Manufacturing Industry in Shandong Province, China

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DOI: 10.23977/msom.2022.030304 | Downloads: 17 | Views: 636

Author(s)

Shenglei Song 1, Xiuyan Yu 1

Affiliation(s)

1 College of Management, Shandong University of Technology, Zibo, Shandong, 255000, China

Corresponding Author

Shenglei Song

ABSTRACT

The level of green total factor productivity in manufacturing industry is an important basis for testing the green development of manufacturing industry in Shandong province. Based on this, this paper measures the green total factor productivity of manufacturing industry in Shandong province from 2010 to 2019 using the super-efficient SBM model containing non-expected output and the global Mamquist (GML) index, and analyzes the structural characteristics of the spatially linked network of manufacturing industry in Shandong province in 2019 using social network analysis in three dimensions: overall, individual and cohesive subgroups. The purpose is to provide a reference for the high-quality development of manufacturing industry in Shandong Province.

KEYWORDS

Green Total Factor Productivity, DEA, Social Network Analysis, Spatially Linked Networks

CITE THIS PAPER

Shenglei Song, Xiuyan Yu, Green Total Factor Productivity Measurements and Spatial Association Network Characteristics of Manufacturing Industry in Shandong Province, China. Manufacturing and Service Operations Management (2022) Vol. 3: 37-45. DOI: http://dx.doi.org/10.23977/msom.2022.030304.

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