Temporal and Spatial Evolution of the Science and Technology Innovative Efficiency of Regional Industrial Enterprises: A Data-Driven Perspective

Yaliu Yang, Yuan Wang (), Cui Wang, Yingyan Zhang and Cuixia Zhang
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Yaliu Yang: Business School, Suzhou University, Suzhou 234000, China
Yuan Wang: Business School, Suzhou University, Suzhou 234000, China
Cui Wang: Business School, Suzhou University, Suzhou 234000, China
Yingyan Zhang: Business School, Suzhou University, Suzhou 234000, China
Cuixia Zhang: School of Mechanical and Electronic Engineering, Suzhou University, Suzhou 234000, China

Sustainability, 2022, vol. 14, issue 17, 1-21

Abstract: This study develops a data-driven, comprehensive evaluation method to improve the science and technology innovative efficiency of industrial enterprises above designated size (hereinafter “industrial enterprises”). Based on an innovation value chain perspective, a two-stage evaluation index system is constructed. Thereafter, the Pearson correlation coefficient method was used to analyze correlations in the constructed index system. A two-stage network data envelopment analysis model with additional intermediate input was constructed to measure and evaluate industrial enterprises’ science and technology innovative efficiency from three aspects—research and development (R&D), commercialization, and comprehensive efficiencies—to reveal the temporal and spatial evolution. The feasibility and effectiveness of the method was verified using the statistical data of industrial enterprises in 16 cities in Anhui Province, China, from 2011 to 2020. The results show that the comprehensive efficiency of the scientific and technological innovation of industrial enterprises in these cities is at a medium level, and the efficiency development of the two stages is uncoordinated; the two-stage efficiency distribution tends to be “high R&D–high commercialization” and “low R&D–low commercialization”, and targeted countermeasures and suggestions are proffered. This study provides a reference for the sustainable development of industrial enterprises in relevant regions.

Keywords: two-stage network DEA; industrial enterprise; science and technology innovative efficiency; 16 cities in Anhui; data driven (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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