Impact of Artificial Intelligence on Regional Green Development under China’s Environmental Decentralization System—Based on Spatial Durbin Model and Threshold Effect

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(22), P. 14776 - 14776

Published: Nov. 10, 2022

Artificial intelligence (AI) is the core technology of digital economy, which leads transition to a sustainable economic growth approach under Chinese-style environmentally decentralized system. In this paper, we first measured green total factor productivity (GTFP) 30 Chinese provinces from 2011 2020 using super-efficiency slacks-based measure (SBM) model, analyzed mechanism effect AI on GTFP environmental decentralization regime, and secondly, empirically investigated spatial evolution characteristics constraining impact Durbin model (SDM) threshold regression model. The findings reveal: U shape correlation with GTFP; acts as positive moderator linking Moran index demonstrates constraint technological innovation regional absorptive capacity variables, over U-shaped. This paper provides useful reference for China accelerate formation digital-driven economy development

Language: Английский

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A configurational analysis of innovation environment and industrial green total factor productivity

Journal of Environmental Planning and Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26

Published: May 14, 2024

This paper examines the necessary and sufficient influence of innovation environment, which incorporates various variables, on IGTFP from a configurational standpoint. utilizes fuzzy qualitative comparative analysis condition methodologies. A total 11 models are found to be driven by environment for IGTFP. Technological output is thus fundamental factor in models. The effects wages human capital also relatively significant. Longitudinally, there no consistent environment-driven model. reveals intricate associations between ecosystem while elucidating mechanism variable influenced varying spatio-temporal environments, significantly amplifies current comprehension mean effect link two. Concurrently, article furnishes methodological direction subsequent investigation into complexity relationships relevant variables.

Language: Английский

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Influence Mechanism of Industrial Agglomeration and Technological Innovation on Land Granting on Green Total Factor Productivity

Sustainability, Journal Year: 2022, Volume and Issue: 14(6), P. 3331 - 3331

Published: March 11, 2022

The influence of land granting on green total factor productivity (GTFP) and its mechanisms remain under-explored. Based dynamic spatial panel data 30 provincial administrative regions in China from 2007 to 2017, this study attempts establish the framework a transmission mechanism among granting, manufacturing agglomeration technological innovation, productivity, measures their interactions by mixed directional distance function Global Malmquist–Luenberger index model containing undesirable output. Then, paper empirically estimates impacts industrial innovation with mediating effect model. results show that development paradigm China’s economy is characterized path dependence, GTFP has significant effect. Local governments rely low-price competition obtain cost advantages facilitate local industries, promote impact negotiation through agglomeration. There exists non-linear relationship between GTFP. acquired promoting technology will foster intermediary innovation. No obvious observed grant “Tender, Auction Listing” no GTFP, conduction industry not established. Industrial structure, government management infrastructure significantly improvement while level transportation inhibit Through intervention low-production capacity departments, can integrate regional resource endowments, give play comparative achieve structure upgrades core competitiveness, which be conducive High-level conditions increase energy consumption greenhouse gas emissions operation, makes contribution enhancement

Language: Английский

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A Study of the Spatial Structure and Regional Interaction of Agricultural Green Total Factor Productivity in China Based on SNA and VAR Methods

Sustainability, Journal Year: 2022, Volume and Issue: 14(12), P. 7508 - 7508

Published: June 20, 2022

As regional interaction increases in an open economy, a region’s green total factor productivity agriculture must be considered alongside relationships with other regions. In this study, the slack-based model (SBM) global Malmquist–Luenberger (GML) index is used to measure of each province China, and social network analysis (SNA) vector autoregressive (VAR) impulse response function (IRF) are examine spatial structure interactivity. The research confirms that absolute value concentration agricultural generally higher south than north but peak lower north. density China from 2008 2019 shows increase, cut-off values mean, 10, 50, 100 treated as 4.97%, 2.57%, 3.30%, 2.43%, respectively. From 2019, central potentials entry exit China’s show “V”-shaped inverted evolution path, respectively, cohesive subgroups growing, which demonstrates Chinese has experienced evolutionary path polycentric monocentric conditions. different intensifying certain degree self-stability. terms interaction, siphon effect east on development western regions significant, trickle-down not obvious, between catalytic efficiency economy both It recommended targeted policies introduced support flow factors industrial division labour north, taking into account actual situation. novelty paper it focuses combines innovative use paradigm analyse country dynamic perspective. A limitation methodology its poor applicability closed analysis.

Language: Английский

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Distribution of Spatial and Temporal Heterogeneity of Green Total-Factor Productivity in the Chinese Manufacturing Industry, and the Influencing Factors

Sustainability, Journal Year: 2023, Volume and Issue: 15(4), P. 2919 - 2919

Published: Feb. 6, 2023

This paper considers GTFP of energy consumption and environmental pollution from a sustainable perspective as measure the evolutionary efficiency manufacturing industries. It uses super-efficiency SBM model to calculate values industries in 30 Chinese provinces 2011 2019. Moran’s index GTWR were used study spatial correlation impact factors GTFP. The results found that following. (1) overall level China’s industry 2019 rose progressively, between different regions gradually reduced. (2) is significantly positive, with positive spillover effect. (3) affected by economic development, investment, other factors. (4) There spatiotemporal heterogeneity According empirical research focusing on goal it proposed increase use clean reduce pollution. To carry out green development according local conditions, eastern region will strengthen new continue investment innovation, central western supervision, accelerate industrial transformation, attract more foreign investment.

Language: Английский

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Examining the effects of economic growth pressure on green total factor productivity: evidence from China

Economic Change and Restructuring, Journal Year: 2023, Volume and Issue: 56(6), P. 4309 - 4337

Published: Aug. 23, 2023

Language: Английский

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Spatial-Temporal Evolution of Total Factor Productivity in Logistics Industry of the Yangtze River Economic Belt, China

Sustainability, Journal Year: 2022, Volume and Issue: 14(5), P. 2740 - 2740

Published: Feb. 25, 2022

The logistics industry plays a great role in the sustainable economic development of Yangtze River Economic Belt (YREB). This paper measures total factor productivity (TFP) by using DEA-Malmquist index method and analyzes its spatial-temporal evolution characteristics based on panel data 11 provinces cities YREB 2003–2017. Lastly, spatial autocorrelation analysis was conducted conjunction with exploratory (ESDA) model. results show that overall has been relatively good, an inverted “N” shape trend over years. Technological progress is main reason for growth TFP. From regional perspective, it shows distribution pattern high east low west, upward TFP levels. correlation between levels each province city gradually increasing, but coordinated regions still limited. Finally, according to conclusions, policy recommendations are proposed accelerate innovative modern industry.

Language: Английский

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Factores clave en la evaluación de la productividad: estudio de caso

Revista CEA, Journal Year: 2021, Volume and Issue: 7(15), P. e1800 - e1800

Published: Aug. 31, 2021

La productividad es una condición inicial para obtener crecimiento económico, y tener mejores condiciones de vida: se debe partir ser eficientes eficaces, siendo esta la combinación óptima los recursos, pues, eficiencia más eficacia igual a productividad. El objetivo investigación fue examinar las percepciones empleados en distintas organizaciones del sur Valle Aburrá: Envigado, Itagüí, Sabaneta, Estrella Caldas el departamento Antioquia (Colombia), frente factores asociados con Como metodología, utilizó un sistema categorial que reunió 10 como determinantes productividad, cual construyó rastreo bibliográfico. enfoque tipo mixto. Para trabajo campo aplicaron encuestas estructuradas preguntas cerradas 17 organizaciones, utilizando escala Likert, obteniendo respuestas 65 empleados. Posteriormente tabularon cuestionarios hizo análisis respectivo cada pregunta, donde aplicó estadística descriptiva matriz correlación, arrojando resultado categorías decisivas son: variable laboral, articulación políticas, infraestructura física, innovación, avance tecnológico. Se concluye motivación tiene mayor cantidad vínculos correlacionales fuertemente lineales demás factores.

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Influence of local governments on the greening of the manufacturing sector: A perspective on environmental governance objectives

Heliyon, Journal Year: 2023, Volume and Issue: 10(1), P. e23801 - e23801

Published: Dec. 16, 2023

The green development of manufacturing industries is significantly impacted by local governments. In this study, we focus on assessing the environmental governance effectiveness examining tasks assigned central government to each province under Comprehensive Work Program for Energy Conservation and Emission Reduction. By utilizing panel data from 30 provinces cities in China 2011 2020, employ super-efficient SBM model evaluate China's industry's total factor productivity. Through various models, including double-fixed effect mediation effect, investigate influence targets productivity industry. Our findings reveal a U-shaped relationship between target When pressure below certain critical value, decreases as increases. However, once surpasses experiences positive correlation with pressure. Further analysis demonstrates that observed regions low medium marketization, while high marketization remain unaffected. Moreover, impact facilitated promotion innovation. Furthermore, moderated fiscal expenditures. where expenditures are higher, more pronounced.

Language: Английский

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Examining the impact of green technological specialization and the integration of AI technologies on green innovation performance: evidence from China

Frontiers in Artificial Intelligence, Journal Year: 2024, Volume and Issue: 6

Published: April 25, 2024

China's commitment to achieving carbon neutrality by 2060 has sparked scholars' interest in examining the environmental ramifications of green technologies digital era. While plenty them provide eco-efficiency policy such as increasing R&D investment or stimulating exports, little attention been paid firm-level technological management and recombination strategies differentiation/specialization portfolios along with AI integration, which can significantly impact pace net-zero transitions. To address these gaps, this study investigates moderating effect specialization on levels integration into estimated green-AI distance enterprises' innovation performance Chinese contemporary contexts. Regression results fixed-effect model patent data (2011–2020) indicate that is improved integrates more due legitimacy inability appropriate values. Interestingly, specialized green-technological enterprises demonstrate superior integrating distant technologies. This occurrence could potentially be driven governments' incentives organization's risk attitudes, shaping outcomes. Hence, underscores importance considering both outcomes amidst

Language: Английский

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