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Evaluation and spatiotemporal evolution of green innovation efficiency in China: a two-stage value chain perspective

Author

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  • Li Minjie

    (School of Economics and Trade, Fujian Jiangxia University, No. 2 Xiyuangong Road, University Town, Fuzhou City, Fujian Province, 350108, China)

  • Chen Yihui

    (College of Digital Economy, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Cangshan District, Fuzhou City, Fujian Province, 350002, China)

Abstract

As the global problems of environmental pollution and ecological degradation are becoming important obstacles to the realisation of sustainable development, green technological innovation (GTI) has received wide attention in the academic and practical communities worldwide. Commonly, the GTI process can be divided into two stages: green technology R&D and green achievement transformation. The contribution of GTI to economic development and environmental protection depends to a large extent on green innovation efficiency (GIE). Based on the panel data on inputs and outputs of 30 provinces in China from 2007 to 2021, this study applied the super efficiency SBM model considering undesirable outputs to evaluate green technology R&D efficiency (GTRDE) and green achievement transformation efficiency (GATE). Additionally, this study adopted the global and local Moran’s I index for spatial autocorrelation analysis. First, GTRDE showed a trend of “eastern > western > central > northeastern”, while GATE showed a trend of “eastern > central > western > northeastern”. Second, although GATE was higher than GTRDE in most provinces, the differences between provinces were significantly larger for the former than for the latter. Third, global spatial autocorrelation in GIE across provinces was significant only in a few years, while local spatial autocorrelation existed only in a few provinces. Based on the two-stage value chain perspective, the green innovation process is divided into green technology R&D and green achievement transformation. This paper also introduces a super-efficiency SBM model that considers undesirable outputs when calculating GIE. This is in line with the basic laws of GTI and development in reality. Thus, to enhance the efficiency of green innovation, governments and enterprises should raise awareness of GTI, enhance inter-regional exchanges and collaboration, and take a variety of measures to narrow the gap between regions.

Suggested Citation

  • Li Minjie & Chen Yihui, 2024. "Evaluation and spatiotemporal evolution of green innovation efficiency in China: a two-stage value chain perspective," Engineering Management in Production and Services, Sciendo, vol. 16(4), pages 48-68.
    • Handle: RePEc:vrs:ecoman:v:16:y:2024:i:4:p:48-68:n:1004
    DOI: 10.2478/emj-2024-0033
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