Green efficiency loss caused by economic growth goals: Evidence from an emerging economy

Economic Analysis and Policy, Год журнала: 2024, Номер 81, С. 983 - 995

Опубликована: Янв. 26, 2024

Язык: Английский

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How Does the Digital Innovation Ecosystem Enable Green Regional Development? A Dynamic QCA Study in China

Systems, Год журнала: 2024, Номер 12(12), С. 551 - 551

Опубликована: Дек. 11, 2024

The impact of digital empowerment on green innovation is increasingly evident, enabling various subjects to improve the integration elements and enhance efficacy across a broader temporal spatial scope. A comprehensive examination mechanisms that underlie this process required. This paper constructs ‘elements-subjects-environments’ research framework ecosystems, collecting data from 30 provinces in China 2017 2021 using total factor productivity (GTFP) evaluate level regional development. In study, dynamic qualitative comparative analysis (QCA) method employed analyze intricate causal configurations development are driven by ecosystems both perspectives. results show that: (1) requires interaction multiple elements, subjects, environment, single condition does not constitute necessary condition; (2) there four pathways with different for high-level development: elements-driven enterprise application innovation, enterprise-user co-creation, multi-collaborative environment-driven university basic innovation; (3) dimensions China’s heterogeneous: significance fostering increasing; configuration facilitating eastern central regions, whereas western northeastern regions progressing at relatively slow pace. study provides theoretical practical insights promote

Язык: Английский

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Evolutionary characteristics and influencing mechanisms of green development efficiency in Chinese urban agglomerations: Analysis of the Yangtze River Delta urban agglomeration

Journal of Environmental Management, Год журнала: 2025, Номер 375, С. 124236 - 124236

Опубликована: Янв. 24, 2025

Язык: Английский

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Nexus of Foreign Direct Investment in Services, Digital Transformation, and Enterprise Green Total Factor Productivity: Evidence from China

Sustainability, Год журнала: 2025, Номер 17(4), С. 1401 - 1401

Опубликована: Фев. 8, 2025

Despite the recognized importance of green total factor productivity (GTFP) in literature, there remains a scarcity studies examining impact foreign direct investment (FDI) on GTFP at level service enterprises, particularly regarding role DT this relationship. To address gap, we utilize data from listed enterprises China to examine FDI enterprise and digital transformation (DT) link. The results indicate that enhanced significantly decreases GTFP. Moreover, negative is primarily attributable decline technological innovation. Additionally, alleviates detrimental effect services Furthermore, moderated mediation tests reveal exerts moderate mediating latter segment pathway linking These insights offer valuable guidance harnessing for higher GTFP, informing practical policy recommendations.

Язык: Английский

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Rural Financial Development, Agricultural Mechanization, and Total Factor Productivity

Finance research letters, Год журнала: 2025, Номер unknown, С. 107288 - 107288

Опубликована: Март 1, 2025

Язык: Английский

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Spatial–temporal dynamics of land use carbon emissions and drivers in 20 urban agglomerations in China from 1990 to 2019

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(49), С. 107854 - 107877

Опубликована: Сен. 23, 2023

Язык: Английский

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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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How Does Regional Cooperation Affect Green Total Factor Productivity?—Evidence from the Guangdong-Hong Kong-Macao Greater Bay Area in China

Heliyon, Год журнала: 2024, Номер 10(19), С. e38598 - e38598

Опубликована: Сен. 27, 2024

As a key regional development strategy, cooperation affects the sustainable of city-regions. This study uses social network analysis, spatial and negative binomial regression analysis to investigate impacts on green total factor productivity (GTFP) in Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The main findings are as follows. First, is growing closer, unfolding trend networked polycentric patterns GBA. Second, GTFP most cities exhibits an upward trend, indicating continuous improvement economic Third, different types have heterogeneous GTFP, with being essential for GTFP. Overall, this provides systematic comprehensive environmental effects cooperation.

Язык: Английский

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Spatiotemporal coupling analysis between green total factor productivity and urban e-commerce development in China’s eight urban clusters

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Окт. 1, 2024

Язык: Английский

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Research on the Influence Mechanism of Factor Misallocation on the Transformation Efficiency of Resource-Based Cities Based on the Optimization Direction Function Calculation Method

Sustainability, Год журнала: 2023, Номер 15(12), С. 9800 - 9800

Опубликована: Июнь 19, 2023

Reasonable evaluation of the transformation efficiency resource-based cities can provide a reliable basis for correcting factor misallocation and optimizing allocation. This study improves directional distance function from aspects direction vector endogeneity, relative exogenous weight. Based on improved model, data China’s prefecture-level 2003 to 2018 are used measure compare non-resource-based cities. By setting different weights, considering total only energy obtained. Further comparative analysis shows that two efficiencies lower than those cities, keep same change trend. Whether it is city or city, level considers factors lower. Further, this decomposes according three dimensions finds efficiency, output environmental different, in conservation, economic growth friendliness also different.

Язык: Английский

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