1
|
Hu Y, Guo X, Zhang L, Liu P. Environmental regulation, innovation choices, and agricultural green total factor productivity under a multi-regulatory perspective. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:45117-45137. [PMID: 38958862 DOI: 10.1007/s11356-024-34109-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 06/20/2024] [Indexed: 07/04/2024]
Abstract
As environmental challenges escalate, green development is crucial for sustainability. This study analyzes China's county-level agricultural green total factor productivity using SBM and ML index, introducing a comprehensive index to quantify the impact of different types of environmental regulations on productivity. The findings reveal the following: baseline analysis reveals that comprehensive environmental regulation notably boosts agricultural green total factor productivity (AGTFP), with regulatory intensity positively linked to productivity growth. Other factors like policy intervention, industrial structure, savings levels, and per capita GDP also favorably impact productivity. All three types of regulations, command, incentive, and voluntary type, substantially enhance AGTFP. The mediating effect test results show that all three types of regulations directly and positively impact AGTFP. Indirect effects vary: command-type regulation's mediating effect through independent R&D is significant, accounting for 39% of the impact. For incentive type, both industry structure upgrading (23.79%) and independent R&D (3.1%) mediate the effect. For voluntary type, technological advancement via independent R&D mediates about 13.0% of the impact. Heterogeneity analysis reveals distinct impacts of different environmental regulations on AGTFP across regions. Command-type regulation is most effective in the west, while in the central region, both command- and incentive-type regulations have similar promotional effects. In the east, incentive- and voluntary-type regulations show stronger impacts. Robustness tests, including endogeneity testing, dependent variable substitution, sample winsorizing, and model substitution, consistently confirm the baseline finding that environmental regulation significantly boosts AGTFP.
Collapse
Affiliation(s)
- Yuanhong Hu
- School of Economics and Management, Anhui Agricultural University, Hefei, China
| | - Xia Guo
- School of Economics and Management, Anhui Agricultural University, Hefei, China
| | - Liang Zhang
- School of Economics and Management, Anhui Agricultural University, Hefei, China
| | - Pengling Liu
- School of Economics and Management, Anhui Agricultural University, Hefei, China.
| |
Collapse
|
2
|
Tengfei L, Ullah A. Impact of fiscal policies and green financing on firm innovation and firm value for green economic recovery. Heliyon 2024; 10:e30145. [PMID: 38765122 PMCID: PMC11098779 DOI: 10.1016/j.heliyon.2024.e30145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 04/03/2024] [Accepted: 04/20/2024] [Indexed: 05/21/2024] Open
Abstract
The worldwide spread of the COVID-19 epidemic has led to a rise in the costs of natural resources, which has increased production prices, slowed productivity, and threatened financial development. To stimulate the growth of sustainable economies, fiscal and monetary strategies must adopt a prioritized approach towards fostering innovation and development. The study investigates into recovery strategies by examining the influence of minute taxation reductions on power and exploring the incentives and mechanisms that drive innovation. We can estimate and deduce several outcomes by employing a variance-variance method to analyze quarterly data from Chinese companies listed in the market between Q1 2019 and Q2 2021. Enhancing energy efficiency through tax incentives can immensely benefit a company's innovative endeavors, as innovation serves to recover and expand market share. Furthermore, our research suggests that tax credits promoting energy efficiency can alleviate financial barriers and foster increased investment in innovation. Lastly, by endorsing artistic ventures, businesses can reduce costs and bolster internal cash flow. The implications of these findings are insignificant, as they propose that ineffective eco-design fiscal policies may serve as a negligible component of a limited business transformation plan for the post-COVID-19 era.
Collapse
Affiliation(s)
- Long Tengfei
- College of Tourism and E-commerce, Baise University, Guangxi Province, 533000, China
| | - Ahsaan Ullah
- University of Veternary and Animal Sciences, School of Business, Lahore, Pakistan
| |
Collapse
|
3
|
Yuan C, Shang M, Han Z, Wang J. Research on the impact of the national ecological demonstration zone on green total factor productivity: Evidence from China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 356:120421. [PMID: 38490003 DOI: 10.1016/j.jenvman.2024.120421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/29/2024] [Accepted: 02/15/2024] [Indexed: 03/17/2024]
Abstract
China is currently confronted with the dilemma of achieving its green development goals while maintaining economic growth. The National Ecological Demonstration Zones (NEDZs) represent an innovative attempt by local governments to balance economic development with ecological civilisation, potentially offering a solution to this issue. This study calculated the Green Total Factor Productivity (GTFP) for 1925 districts and counties from 1999 to 2018. Using the selection of NEDZs as a quasi-natural experiment, a difference-in-differences model was employed to empirically analyse the impact of NEDZs on GTFP. The results indicated that the establishment of NEDZs led to an average increase in GTFP of 0.2175 compared to the control group. The primary mechanisms involved are innovation, structure, and enforcement. Moreover, the green development effects of the NEDZs exhibited regional heterogeneity. Compared to the western regions, the central and eastern regions showed limited green development effects. Areas with smaller populations, lower human capital, and lower administrative levels demonstrated significant improvements after the implementation of the NEDZ. Further analysis reveals a significant spatial agglomeration pattern of GTFP and the NEDZs exert a strong 'siphon effect' on the GTFP of neighbouring areas. This study provides a new perspective on the GTFP research and offers theoretical and practical evidence for assessing the impact of NEDZs.
Collapse
Affiliation(s)
- Chunlai Yuan
- School of Government, Peking University, Beijing, 100081, China.
| | - Meiling Shang
- Business School, Hohai University, Nanjing, 210000, China.
| | - Zhaojie Han
- Postgraduate student at School of Economics and Management, Harbin Institute of Technology.
| | - Jiating Wang
- Professor at the Research Center for Urban and Regional Economics at Nankai University, Ph.D. in Economics, doctoral supervisor, with research interests in urban and regional economics, land and real estate economics
| |
Collapse
|
4
|
Ren Y, Yu J, Zhang K, Liu S. Unlocking the double-dividend: Evaluating the impact of SO₂ emissions trading scheme on firm's environmental and economic performance. ENVIRONMENTAL RESEARCH 2024; 245:117963. [PMID: 38135099 DOI: 10.1016/j.envres.2023.117963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/10/2023] [Accepted: 12/15/2023] [Indexed: 12/24/2023]
Abstract
The optimal design of environmental instruments demands a balance between environmental enhancement and economic growth. Utilizing microdata from the China Environmental Statistics Database and the China Industrial Firm Database, this study employs the difference-in-differences (DD) methodology to explore the dual effects of the SO₂ Emissions Trading Scheme (ETS) on the environmental and economic performance of micro-firms. The findings suggest that: (1) The SO₂ ETS not only induces emission reduction effects among firms in pilot areas but also improves their industrial added value. (2) The SO₂ ETS exhibits heterogeneous impacts across firms of diverse ownership, export status, and size. (3) While the SO₂ ETS prompts firms to advance technologically, boosting desulfurization capacities and subsequently enhancing total factor productivity, it also inadvertently results in companies offsetting some environmental compliance costs by curtailing employee wages.
Collapse
Affiliation(s)
- Yayun Ren
- School of Economics, Guizhou University of Finance and Economics, Guiyang, 550025, China
| | - Jian Yu
- School of Economics, Guizhou University of Finance and Economics, Guiyang, 550025, China
| | - Kunpeng Zhang
- School of Accounting, Shanghai Lixin University of Accounting and Finance, Shanghai, 201620, China.
| | - Shuxin Liu
- School of Public Administration, South China Agricultural University, Guangzhou, 510630, China; Guangdong Provincial Key Laboratory of Public Finance and Taxation with Big Data Application, Guangzhou, 510320, China.
| |
Collapse
|
5
|
Jiang Y, Guo Y, Bashir MF, Shahbaz M. Do renewable energy, environmental regulations and green innovation matter for China's zero carbon transition: Evidence from green total factor productivity. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 352:120030. [PMID: 38194875 DOI: 10.1016/j.jenvman.2024.120030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/23/2023] [Accepted: 01/02/2024] [Indexed: 01/11/2024]
Abstract
Rapid developments in environmental infrastructure have contributed to significant improvements in green total factor productivity, but further investigation is required to provide a detailed assessment to understand the policy mechanisms involved. This paper analyzes environmental progress in China through MMQR, CCEMG, and AMG as empirical strategies for 30 provinces in China. Our empirical results reveal that energy optimization through renewable energy is the most effective channel to improve green total factor productivity, though it is not the only available option. Since environmental regulations, infrastructure development, and green technology innovation also directly impact energy efficiency, adopting these within policy channels will positively impact environmental sustainability. Our empirical approach helps suggest novel environmental policy suggestions. In particular, policymakers must introduce structural changes within energy developments to foster renewable energy. Furthermore, China must increase environmental spending to upgrade its energy infrastructure further and solve ecological issues. These insights offer valuable policy guidance for decision-makers in China and globally, aiming to foster economic and environmental sustainability and achieve zero-carbon transition goals.
Collapse
Affiliation(s)
- Yongzhong Jiang
- College of Management Science, Chengdu University of Technology, 610051 Chengdu, China.
| | - Ying Guo
- College of Management Science, Chengdu University of Technology, 610051 Chengdu, China.
| | | | - Muhammad Shahbaz
- Department of International Trade and Finance, School of Management and Economics, Beijing Institute of Technology, Beijing, China; Center for Sustainable Energy and Economic Development, Gulf University for Science and Technology, Hawally, Kuwait.
| |
Collapse
|
6
|
Wang L, Li S, Lv Y. Influence of local governments on the greening of the manufacturing sector: A perspective on environmental governance objectives. Heliyon 2024; 10:e23801. [PMID: 38192776 PMCID: PMC10772216 DOI: 10.1016/j.heliyon.2023.e23801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 12/09/2023] [Accepted: 12/13/2023] [Indexed: 01/10/2024] Open
Abstract
The green development of manufacturing industries is significantly impacted by local governments. In this study, we focus on assessing the environmental governance effectiveness by examining the tasks assigned by the central government to each province under the Comprehensive Work Program for Energy Conservation and Emission Reduction. By utilizing panel data from 30 provinces and cities in China from 2011 to 2020, we employ the super-efficient SBM model to evaluate China's manufacturing industry's green total factor productivity. Through various models, including the double-fixed effect and the mediation effect, we investigate the influence of environmental governance targets on the green total factor productivity of the manufacturing industry. Our findings reveal a U-shaped relationship between the environmental governance target and the green total factor productivity of the manufacturing industry. When the pressure of environmental governance targets is below a certain critical value, the green total factor productivity decreases as the target pressure increases. However, once the target pressure surpasses this critical value, the green total factor productivity experiences a positive correlation with the target pressure. Further analysis demonstrates that this U-shaped relationship is observed in regions with low and medium marketization, while regions with high marketization remain unaffected. Moreover, the impact of environmental governance target pressure on green total factor productivity in manufacturing is facilitated by the promotion of green innovation. Furthermore, the relationship between environmental governance target pressure and green total factor productivity in manufacturing is moderated by local government fiscal expenditures. In regions where fiscal expenditures are higher, the influence of environmental governance target pressure on green total factor productivity in manufacturing is more pronounced.
Collapse
Affiliation(s)
- Limin Wang
- Business College, Qingdao University, Qingdao 266071, China
- Qingdao Rural Commercial Bank, Qingdao 266061, China
| | - Shanhong Li
- College of Economics and Management, Xinjiang University, Urumqi, Xinjiang, 83000, China
| | - Yanqin Lv
- College of Economics and Management, Xinjiang University, Urumqi, Xinjiang, 83000, China
| |
Collapse
|
7
|
Jiang B, Du M, Wang D. Is there heterogeneity and moderating effect of carbon trading pilot in promoting total factor productivity? ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:4290-4309. [PMID: 38097841 DOI: 10.1007/s11356-023-31426-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 12/04/2023] [Indexed: 01/19/2024]
Abstract
In order to analyze what factors may affect the role of carbon trading pilot in promoting total factor productivity, this paper constructs DID model combining information of listed companies with city and industry characteristics. The moderating effect model is used to research the influence of firms' induced behavior. The results show that (1) the characteristics of a city can influence the impact of carbon trading pilot, which is associated with the city's dominant industry, resource endowment, and geographical location; (2) the effect of carbon trading pilot is heterogeneous, primarily indicating a stronger effect on high-emission industries, while having no significant impact on high-pollution industries; and (3) the induced behavior of businesses, such as increasing green innovation and environmental protection expenditure, potentially "crowding out" the effects of the carbon trading pilot.
Collapse
Affiliation(s)
- Ben Jiang
- School of Mathematics and Statistics, Liao Ning University, Shenyang, 110036, China
| | - Mingze Du
- School of Mathematics and Statistics, Liao Ning University, Shenyang, 110036, China
| | - Dehui Wang
- School of Mathematics and Statistics, Liao Ning University, Shenyang, 110036, China.
| |
Collapse
|
8
|
Wang Z, Qin F, Liu J, Xia B, Chileshe N. Spatial differentiation of carbon emissions reduction potential for construction and demolition waste recycling. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:122304-122321. [PMID: 37966638 DOI: 10.1007/s11356-023-30953-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 11/03/2023] [Indexed: 11/16/2023]
Abstract
Identifying the regional differences and drivers for carbon reduction of construction and demolition waste (C&DW) recycling is essential to combat climate change. This study aims to calculate the carbon reduction potential for C&DW recycling from 2006 to 2021 in China and investigates the spatial differences and driving factors of carbon reduction potential for C&DW waste by combining the Theil index, Gini coefficient, and geographic detector methods. The carbon reduction potential for C&DW recycling in China was "high in the east and low in the west" overall level, with an average annual growth rate of 6.27%. The overall differences in carbon reduction potential for C&DW recycling are decreasing, mainly due to intraregional differences and inter-provincial differences in Northeast China. The population size, urbanization rate, and technological effect are the key factors influencing carbon reduction potential for C&DW recycling. There are two types of interactions between influencing factor pairs: nonlinear enhancement and two-factor enhancement. This study's results can guide policymakers to devise relevant, regionally specific policies.
Collapse
Affiliation(s)
- Zhenshuang Wang
- School of Investment and Construction Management, Dongbei University of Finance and Economics, Dalian, 116025, China
| | - Fei Qin
- School of Investment and Construction Management, Dongbei University of Finance and Economics, Dalian, 116025, China
| | - Jingkuang Liu
- Department of Construction Management, School of Management, Guangzhou University, Guangzhou, 510006, China.
| | - Bo Xia
- Dept. of Engineering, Architecture and Information Technology, The Queensland University of Technology, Brisbane, 4001, Australia
| | - Nicholas Chileshe
- UniSA STEM, Sustainable Infrastructure and Resource Management (SIRM), University of South Australia, Adelaide, SA, 5095, Australia
| |
Collapse
|
9
|
Wang X, Wang Y, Liu N. Does environmental regulation narrow the north-south economic gap ? - Empirical evidence based on panel data of 285 prefecture-level cities. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 340:117849. [PMID: 37100005 DOI: 10.1016/j.jenvman.2023.117849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/22/2023] [Accepted: 03/29/2023] [Indexed: 05/12/2023]
Abstract
The economic differentiation between the north and the south of China, as a long-standing phenomenon of unbalanced regional economic development, is aggravating, and has gradually become a resistance to the construction of a new development pattern and regional coordinated development. Most of the existing studies focus on the comparison of differences between the Eastern, Central and Western regions of China, but there is little discussion on the economic gap between China's North-South economy. In addition, through the literature review, no attention has been paid to the environmental regulation factor that leads to the economic gap between the North and the South. In view of this, the study constructs a benchmark regression model and a non-linear regression model based on the balanced panel data of 285 cities in China from 2004 to 2019, explores the role that environmental regulation plays in the widening of China's North-South economy gap. The results show that, firstly, environmental regulation is significantly conducive to narrowing the economic gap between the North and the South; In addition, with the greater intensity of environmental regulation, the economic gap shows a trend of "narrowing first, expanding then", that is, There exists positive U-shaped nonlinear relationship between them. Finally, the heterogeneity of urban scale leads to significant differences in the position and shape of the positive U-shaped curve, which exists between environmental regulation and China's North-South economy gap. The test results shows that the inflection point level of the U-shaped curve in the North is higher than that in the South. Based on this, the study proposes to adjust environmental policies accordingly under regional differentiated conditions, increase financial investment in improving environmental regulation tools and promote coordinated environmental governance in the North and South regions, to promote regional coordinated and sustainable development, provide empirical evidence and theoretical reference to improve people's livelihood and well-being and ultimately achieve the goal of common prosperity.
Collapse
Affiliation(s)
- Xiaohua Wang
- School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
| | - Yimeng Wang
- School of Economics and Management, Shihezi University, Shihezi; 832000, China.
| | - Nannan Liu
- Faculty of Educational Studies, Universiti Putra Malaysia, Kuala Lumpur; 43400, Malaysia
| |
Collapse
|
10
|
You F, Li S. Environmental regulations, green development of agriculture, and residents' health-empirical analysis of Yangtze River Economic Belt in China. PeerJ 2023; 11:e15717. [PMID: 37520248 PMCID: PMC10386822 DOI: 10.7717/peerj.15717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 06/16/2023] [Indexed: 08/01/2023] Open
Abstract
Environmental pollution and food safety have become key public health issues to be addressed in China. Since they are closely related to the green development of agriculture, it is of great practical significance to elucidate the intrinsic relationships between green development of agriculture, environmental regulation and residents' health. Based on the panel data of the Yangtze River Economic Belt from 2011 to 2020, this study investigates the impacts of environmental regulation and green development of agriculture on residents' health and the influencing mechanism by applying fixed effects method, mediating effectsmethod and the spatial Dubin method. Results show that the use of chemical fertilizers, pesticides and agricultural films is harmful to residents' health; environmental regulation has a negative correlation with the green development of agriculture and affect residents' health through mediating effects; the green development of agriculture has negative spillover effects on residents' health, indicating that purchasing finished products instead of producing locally reduces the input of production factors such as chemical fertilizers and pesticides and transfers health risks associated with agricultural production activities to neighboring areas. Intensifying command-and-control environmental regulation will induce the expansion of hidden economic activities and harm local residents' health, while intensifying market-incentive environmental regulation will lead to the 'Pollution Haven' phenomenon because of the 'race to the bottom', in government and is harmful to the health of residents in neighboring areas. Therefore, it is necessary to formulate reasonable and feasible policies and strengthen the control and prevention of agricultural pollution to enhance green development of agriculture and improve residents' health.
Collapse
Affiliation(s)
- Fuling You
- School of Management Science and Real Estate, Chongqing University, Chongqing, China
| | - Shilong Li
- School of Management Science and Real Estate, Chongqing University, Chongqing, China
- Research Center for Construction Economics and Management, Chongqing University, Chongqing, China
| |
Collapse
|
11
|
Yin X, Chen D, Ji J. How does environmental regulation influence green technological innovation? Moderating effect of green finance. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 342:118112. [PMID: 37196615 DOI: 10.1016/j.jenvman.2023.118112] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 03/07/2023] [Accepted: 05/04/2023] [Indexed: 05/19/2023]
Abstract
The main factor behind green economic development is green technology innovation (GTI). Environmental regulation and green finance (GF), as important ways to promote ecological civilization construction, run through the entire procedure of GTI. The purpose of this study is to investigate the influence of heterogeneous environmental regulation on GTI and the moderating effect of GF on GTI from both theoretical and empirical perspectives, to provide useful ideas for China's economic reform path selection and environmental governance system optimization. This paper uses information from 30 provinces between 2002 and 2019, and a bidirectional fixed model was constructed. The results show that: First, regulatory environmental regulation (ER1), legal environmental regulation (ER2), and economic environmental regulation (ER3) all have greatly boosted the degree of GTI in each province. Second, GF acts as a highly effective moderator between heterogeneous environmental regulation and GTI. Finally, this article investigates how GF can act as a moderator in various circumstances. The beneficial moderating effect of it is found to be more pronounced in inland areas, areas with weak spending on research and development, and areas with high energy consumption. These research results provide valuable references for accelerating the green development process in China.
Collapse
Affiliation(s)
- Xingmin Yin
- School of Economics, Ocean University of China, Qingdao, 266100, China
| | - Dandan Chen
- School of Economics, Ocean University of China, Qingdao, 266100, China
| | - Jianyue Ji
- School of Economics, Ocean University of China, Qingdao, 266100, China; Institute of Marine Development, Ocean University of China, Qingdao, 266100, China.
| |
Collapse
|
12
|
Yang Y, Gu R, Ma S, Chen W. How does digital technology empower urban green development efficiency in the Beijing-Tianjin-Hebei region-mechanism analysis and spatial effects. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:31471-31488. [PMID: 36449244 PMCID: PMC9713078 DOI: 10.1007/s11356-022-24368-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/17/2022] [Indexed: 04/16/2023]
Abstract
Under the strategy of "Digital China" and "Sustainable Development," the synergistic development of digital economy and green economy has become a crucial topic. Based on the panel data of 13 cities in the Beijing-Tianjin-Hebei (BTH) region from 2011 to 2019, this study investigates the direct effect, intrinsic mechanism, and spatial spillover effect of digital technology development (DTD) on urban green development efficiency (GDE). The empirical results show that (1) DTD significantly improves urban GDE in the BTH region, and it passes the endogeneity test, (2) DTD can enhance urban GDE by improving the environmental regulation intensity and technological innovation level in the BTH region; however, the industrial structure optimization weakens the promotion effect of DTD on urban GDE in the BTH region, which shows a "masking effect," (3) the kernel density estimation method and ArcGIS technology reveal the existence of "digital divide" and GDE differences among cities in the BTH region. Moreover, the spatial distribution pattern of DTD gradually forms "H-H" and "L-L" clusters in the BTH region, and (4) DTD also increases the GDE of neighboring cities through spatial spillover effects in the BTH region, and it passes the robustness test of replacing the spatial weight matrix. This study is important for the BTH region to simultaneously solve economic development and environmental problems in the context of digitalization.
Collapse
Affiliation(s)
- Yangyang Yang
- School of Management, Tianjin University of Technology, Tianjin, 300384 China
| | - Runde Gu
- School of Management, Tianjin University of Technology, Tianjin, 300384 China
| | - Shengbin Ma
- Department of Construction Management, Dalian University of Technology, Dalian, 116024 China
| | - Weike Chen
- School of Management, Tianjin University of Technology, Tianjin, 300384 China
| |
Collapse
|
13
|
Impact of digital economy development on carbon emission intensity in the Beijing-Tianjin-Hebei region: a mechanism analysis based on industrial structure optimization and green innovation. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:41644-41664. [PMID: 36637645 DOI: 10.1007/s11356-023-25140-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 12/31/2022] [Indexed: 01/14/2023]
Abstract
Under the "Digital China" strategy and "Carbon Peaking and Carbon Neutrality" goal, it is significant to explore the carbon reduction effect from the digital economy development in a multi-dimensional way. Based on the panel data of 13 cities in the Beijing-Tianjin-Hebei (BTH) region from 2011 to 2019, this study uses mechanism test model, threshold effect model, and spatial Durbin model which empirically test the influence mechanism and spatial spillover effect of digital economy development on regional CEI. The research found that (1) the digital economy development in the BTH region can reduce regional CEI, and it passes the endogenous test; (2) the digital economy indexes of 13 cities in the BTH region have significantly increased with time evolution, but there is obvious spatial unevenness; the CEI of each city except Tianjin decreases significantly with time evolution, and Tianjin shows a trend of decreasing and then increasing; (3) digital economy has a positive spatial correlation, showing the characteristics of "H-H" and "L-L" clustering. Furthermore, the digital economy has a spatial spillover effect on the CEI of neighboring cities; (4) the digital economy development can promote the industrial structure rationalization and upgrade, improves the urban green innovation quantity and quality, then reduces the regional CEI through them; and (5) the impact strength of digital economy on CEI varies at different threshold intervals of the mechanism variable.
Collapse
|
14
|
Wang M, Liu W. An empirical analysis of the impact of Chinese government investment on high-quality economic development--A study based on spatial Dubin model. PLoS One 2023; 18:e0283073. [PMID: 36921013 PMCID: PMC10016692 DOI: 10.1371/journal.pone.0283073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 02/28/2023] [Indexed: 03/16/2023] Open
Abstract
China's economy has shifted from the stage of high-speed growth to the stage of high-quality development. This paper selects panel data of 30 provinces, municipalities directly under the Central Government and autonomous regions (except Tibet) in mainland China with the time dimension of 2006-2016, selects indicators from five dimensions of innovation, coordination, greenness, openness and sharing, uses principal component analysis to construct a system of indicators of high-quality economic development, and uses the spatial Durbin model to empirically the impact of government investment behavior in the three industries on the regional economic high-quality development was studied. The results show that: first, there is a significant positive spatial correlation between China's economic quality development. Second, government investment in different industries has different effects on the quality development of the economy. Investment in the tertiary industry can boost employment, raise income level, promote economic quality development, and enhance sharing, coordination and innovation; investment in the secondary industry can enhance innovation, but because of the "crowding-out effect", it will reduce openness and sharing, and is not conducive to promoting economic quality development; investment in the primary industry can Investment in the primary industry can significantly improve coordination, but it will reduce innovation, greenness, openness and sharing, which will also have a negative impact on the overall high-quality economic development. Third, there is a significant spatial spillover effect of government investment behavior on regional economic quality development, and the economic quality development of this region will have an impact on neighboring regions. Finally, based on the research results, this paper puts forward countermeasure suggestions for promoting high-quality economic development.
Collapse
Affiliation(s)
- Ming Wang
- Business School, Jiangsu Open University, Nanjing, Jiangsu, China
| | - Weiming Liu
- School of Shipping and Economics, Guangzhou Institute of Navigation, Guangzhou, Guangdong, China
- * E-mail:
| |
Collapse
|
15
|
Yue X, Zhao S, Ding X, Xin L. How the Pilot Low-Carbon City Policy Promotes Urban Green Innovation: Based on Temporal-Spatial Dual Perspectives. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:ijerph20010561. [PMID: 36612887 PMCID: PMC9819387 DOI: 10.3390/ijerph20010561] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/21/2022] [Accepted: 12/26/2022] [Indexed: 05/31/2023]
Abstract
Enhancing green innovation levels is an important objective of the pilot low-carbon city policy (PLCC) in China, but the spatial and temporal heterogeneity of the PLCC policy's effect on green innovation is unclear. Based on panel data from 285 Chinese cities during 2005-2020, this paper assesses the impact of PLCC on regional green innovation using the difference-in-difference (DID) method. The empirical results demonstrate that the PLCC can obviously promote urban green innovation. In terms of the temporal dimension, the policy effect of PLCC on regional green innovation shows an inverted "U" shape and peaks in the seventh year after implementation. From the spatial dimension, the PLCC can promote surrounding cities' green innovation through spatial spillover effects within 200 km, and the spillover effect decreases with increasing distance. Mechanism analysis indicates that the PLCC policy can promote regional green innovation by enhancing regional environmental regulations and alleviating financing constraints. This paper explores the temporal and spatial policy effects of PLCC, which can provide effective paths and policy recommendations for China to achieve its "dual carbon" goals.
Collapse
Affiliation(s)
- Xianghua Yue
- School of Economics and Management, Xiangnan University, Chenzhou 423000, China
| | - Shikuan Zhao
- School of Public Policy and Administration, Chongqing University, Chongqing 400044, China
| | - Xin Ding
- School of Finance, Capital University of Economics and Business, Beijing 100070, China
| | - Long Xin
- School of Economics and Management, Xinjiang University, Urumqi 830046, China
| |
Collapse
|