Analysis of Spatial-Temporal Evolution and Its Influencing Factors of Cities’ Green Economic Efficiency: A Case Study of Shandong Province, China

Polish Journal of Environmental Studies, Год журнала: 2024, Номер 33(5), С. 5473 - 5483

Опубликована: Май 22, 2024

Based on panel data from 16 prefecture-level cities in Shandong Province 2011 to 2020, the paper utilizes super-efficiency SBM model with undesirable outputs measure green economic efficiency of each city.Spatial autocorrelation analysis and natural breaks method are applied analyze spatial-temporal evolution efficiency.Lastly, a Tobit is used factors affecting efficiency.The study's outcomes as outlined below: (1) The economy showed an overall increasing trend 2020.However, there noticeable disparity among cities, developed exhibiting relatively higher levels efficiency.(2) proportion high steadily increases, these highefficiency regions gradually cluster around provincial capital eastern coastal areas.While heterogeneous clustering efficiency, degree this heterogeneity decreases over time.(3) Social security, development, technological advancement significantly enhance whereas industrial structure noticeably impedes efficiency.Environmental regulations urbanization have less pronounced impact efficiency.Drawing findings, chapter presents targeted policy recommendations.

Язык: Английский

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Measuring the gap between optimal and observed energy structure: evidence from 36 OECD countries

Journal of Cleaner Production, Год журнала: 2024, Номер 459, С. 142526 - 142526

Опубликована: Май 8, 2024

Язык: Английский

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Influence of environmental technologies and income on the environment in OECD member countries transitioning to low carbon societies

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(22), С. 32301 - 32319

Опубликована: Апрель 22, 2024

Язык: Английский

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