Jin Hu

ORCID: 0000-0002-4705-9523
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About
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Research Areas
  • Energy, Environment, Economic Growth
  • Environmental Sustainability in Business
  • Energy, Environment, and Transportation Policies
  • Climate Change Policy and Economics
  • Service-Oriented Architecture and Web Services
  • Fiscal Policy and Economic Growth
  • Sustainable Supply Chain Management
  • Forest, Soil, and Plant Ecology in China
  • Environmental Impact and Sustainability
  • Neural Networks and Applications
  • Corporate Social Responsibility Reporting
  • Land Use and Ecosystem Services
  • Energy and Environment Impacts
  • China's Socioeconomic Reforms and Governance
  • Organizational and Employee Performance
  • Innovation Diffusion and Forecasting
  • Air Quality and Health Impacts
  • Urban Transport and Accessibility
  • Impact of AI and Big Data on Business and Society
  • Business Process Modeling and Analysis
  • Cultural, Linguistic, Economic Studies
  • Energy Efficiency and Management
  • Smart Cities and Technologies
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications

Shenyang Normal University
2025

Ministry of Public Security of the People's Republic of China
2025

Ministry of Natural Resources
2025

Fudan University
2024

Guizhou University of Finance and Economics
2022-2024

Chongqing Jiaotong University
2022-2024

Jiangsu University of Science and Technology
2014

Qinghai University for Nationalities
2014

City College
2014

City College of New York
2014

10.1016/j.jenvman.2023.117755 article EN Journal of Environmental Management 2023-03-20

Abstract Low‐carbon sustainable development is considered an essential strategy for achieving economic growth and environmental protection, requiring a fundamental transformation of the industrial structure, including developing clean technologies, promoting energy efficiency, adopting production consumption patterns. Simultaneously, evolving digital economy acknowledged as driver in optimizing structure. Therefore, can reshape structure lead to low‐carbon development? The main purpose this...

10.1002/bse.3584 article EN Business Strategy and the Environment 2023-10-11

Innovation in green technologies is the key force behind development. We employed difference-in-differences model to evaluate influences of ecological civilization construction (ECC) on technology innovation. The study discovered that development significantly increased innovation pilot area. Because utility patents (GUP) have a positive spatial spillover while invention (GIP) siphon effect causes negative overflow, promotion GUP larger. Along with its direct effects, can also bring...

10.1016/j.eti.2022.102960 article EN cc-by-nc-nd Environmental Technology & Innovation 2022-11-17

10.1016/j.jclepro.2023.138395 article EN Journal of Cleaner Production 2023-08-09

10.1007/s11356-022-24514-3 article EN Environmental Science and Pollution Research 2022-12-06

Industrial structure transformation is important for realizing Chinese modernization, and ecological civilization necessary building a beautiful China. How to use the construction of realize industrial major issue economic development China other developing countries. The difference-in-differences method was used evaluate impact pilot policy (ECPP) on transformation. three-stage mediating effect explore mechanism channel. Through heterogeneity discussion spatial spillover analysis method,...

10.1016/j.ecolind.2023.111053 article EN cc-by-nc-nd Ecological Indicators 2023-10-10

Abstract Based on panel data from 2010 to 2019, this study examines the relationship between defense science and technology innovation high‐quality economic development at provincial level in China. Using gray correlation analysis method of an evaluation index system development, we calculate coefficient decompose its time‐series degree cross‐sectional. Our findings indicate that China is generally stable during 2010–2019. However, Beijing stands out as exception with a less than 0.5....

10.1002/mde.3925 article EN Managerial and Decision Economics 2023-06-04

Abstract Sustainable and inclusive development aims to achieve long‐term economic growth while ensuring environmental social sustainability. This study investigates the significance of Belt Road Initiative (B&R) in promoting sustainable Chinese provinces along its route, considering it a quasi‐natural experiment. To assess effects, we construct an index system that captures critical dimensions development. The results reveal B&R has positively influenced route. impact is facilitated...

10.1002/sd.2705 article EN Sustainable Development 2023-07-30

This paper builds a theoretical model of government performance functions for poverty alleviation using county-level panel data from 81 counties in China 2014 to 2019. It uses Panel-Tobit and mechanism tests verify the effect fiscal policies on reduction, consolidates robustness results through series extended methods, such as endogeneity treatment, tests, heterogeneity analysis. The show that (1) poverty-related allocations can significantly reduce incidence, reduction is more pronounced...

10.1016/j.heliyon.2023.e17451 article EN cc-by-nc-nd Heliyon 2023-06-28

This study employs the undesirable output super-efficiency SBM-DEA model to reassess green innovation efficiency (GIE) of 30 Chinese provinces from 2011 2020. We pioneer examination public attention (PA) influence on GIE and spatial spillover effects, employing Durbin model. Additionally, a mediation model, incorporating big data technology as mediator, is adopted. Key findings are follows: 1) Significant correlations exist in PA GIE. 2) Improved one province can help enhance neighboring but...

10.1080/09640568.2023.2298249 article EN Journal of Environmental Planning and Management 2024-01-19

Abstract Efficient energy utilization stands as a linchpin for national security and sustainable development, particularly in developing countries. The transformative potential of big data driving regional economic growth is pivotal advancing the goals sustainability carbon neutrality. This study employs advanced Generalized Difference‐in‐Differences methods to investigate enduring influence establishing Big Data Comprehensive Experimental Areas (BDCEAs) on efficiency within experimental...

10.1002/sd.3112 article EN Sustainable Development 2024-07-04
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