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January 12, 2022SHILAP Revista de lepidopterologíaOpen Access

Research on Regional Differences and Influencing Factors of Chinese Industrial Green Technology Innovation Efficiency Based on Dagum Gini Coefficient Decomposition

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Authors

LZLiyuan ZhangXMXiang MaYOYoung-Seok Ock

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Overview

Spatial panel analysis reveals narrowing regional disparities in Chinese industrial green innovation efficiency, indicating significant spatial spillover and policy-driven growth.

Key Points

  • To measure the efficiency and regional differences of industrial green technology innovation across Chinese provinces and identify key socioeconomic influencing factors and spatial spillover effects.
  • Analyzed Chinese provincial panel data spanning 2005 to 2018.
  • Employed a super-efficiency slacks-based measure (SBM) accounting for undesirable outputs and applied Dagum Gini coefficient decomposition to evaluate inter- and intra-regional disparities.
  • Constructed spatial econometric models to identify the effects of firm size, government support, foreign openness, environmental regulation, education level, and industrial structure.
  • Industrial green technology innovation efficiency exhibited three distinct phases (stationary, recession, and growth) with regional performance consistently following an eastern > central > western hierarchy.
  • Overall regional disparities tended to narrow over time, driven primarily by inter-regional differences, while intra-regional variations in the western region showed a fluctuating downward trend.
  • Firm size, government support, openness, environmental regulations, and education levels significantly promoted innovation efficiency with noticeable spatial spillovers, whereas industrial structure exerted an inhibitory effect.

Cite This Study

Zhang et al. (2022) studied this question.

synapsesocial.com/papers/69da0fbcba6014a02e835847https://doi.org/10.3390/land11010122
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