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Xin L. Green supply chain management influence on the economic and environmental aspects in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:21144-21156. [PMID: 38388969 DOI: 10.1007/s11356-024-31853-w] [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: 08/25/2023] [Accepted: 01/01/2024] [Indexed: 02/24/2024]
Abstract
In China's rapid industrial development, the adoption and impact of green supply chain practices (GSCP) have become pivotal. This research employs a non-radial, non-angle SBM-DEA model to examine the intricate relationship between environmental sustainability and economic advancement. The observation suggests that companies adopting the global sustainable consumption and production (GSCP) framework demonstrate a more substantial alignment with China's sustainable goals. However, this alignment is accompanied by a fundamental conflict between the need for economic growth and the need for environmental caution. This study highlights China's sincere efforts to adhere to global ecological norms, as the environmental outcomes (ENVO) demonstrated. The findings on organizational culture (O.C.) present a complex depiction of China's direction, highlighting the intersection between its longstanding traditions with the pressing demands of modern environmentally sustainable corporate practices. The presence of regulatory variations across provinces highlights the regional differences within the nation, thus causing organizations to adopt adaptable environmental policies. The complex network of supply chains in China and the careful management of financial resources underscore the diverse range of difficulties and opportunities that firms face. This research ultimately provides a comprehensive understanding of the crucial balancing process that characterizes China's path toward environmental sustainability. It highlights the importance of effectively managing these factors, since it is essential for enterprises to achieve enduring and sustainable success.
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Affiliation(s)
- Li Xin
- Business School, Chongqing City Management College, Chongqing, 401331, China.
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Houssam N, Ibrahiem DM, Sucharita S, El-Aasar KM, Esily RR, Sethi N. Assessing the role of green economy on sustainable development in developing countries. Heliyon 2023; 9:e17306. [PMID: 37389081 PMCID: PMC10300370 DOI: 10.1016/j.heliyon.2023.e17306] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 05/10/2023] [Accepted: 06/13/2023] [Indexed: 07/01/2023] Open
Abstract
Purpose Over the last few years, the green economy (GE) notion has been realized as a key tool for achieving sustainable development (SD) in both developing and developed nations. Therefore, the current study tries to investigate the role of GE in achieving SD in developing countries. Through empirically examining the relationship between the GE and three different dependent variables which are GDP per capita, total unemployment rate, and poverty level, using cross-sectional data for 60 developing countries in 2018. Design/methodology/approach Applying generalized least square (GLS) approach. The four dimensions of the Global Green Economy Index (GGEI) are the key independent variables that measure the accomplishment of nations in aspects of the global green economy. Findings The empirical results showed the existence of a positive statistically significant relationship between the GE and GDP per capita and the level of total unemployment, while there is a negative statistically significant relationship between the GE and the poverty rate in developing countries. Implication policy This study recommends that both the private and public sectors continue to endorse and adopt GE in the future for SD, job creation, and poverty alleviation.The original value of the study: It is the first research for developing countries that explores the relationship between GE and SD using three indicators of SD using a GLS approach according to our information. Also, this study categorized the dataset of the developing countries based on their income level for addressing the heteroskedasticity problem.
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Affiliation(s)
- Nourhane Houssam
- National Center for Social and Criminological Research, Giza, 11561, Egypt
| | - Dalia M. Ibrahiem
- Faculty of Economics and Political Science, Cairo University, Giza, 12613, Egypt
| | - Sanhita Sucharita
- Department of Economics and Development Studies, Central University of Jharkhand, Cheri-Manatu, Ranchi, Jharkhand 835222, India
| | - Khadiga M. El-Aasar
- Faculty of Economics and Political Science, Cairo University, Giza, 12613, Egypt
| | - Rehab R. Esily
- Faculty of Commerce, Damietta University, Damietta, 22052, Egypt
- School of Economics and Management, Beijing University of Technology, Beijing, 100022, China
| | - Narayan Sethi
- Department of Humanities and Social Sciences, National Institute of Technology Rourkela, Rourkela, Odisha, 769008, India
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Sun Y, Ding G, Li M, Zhang M, Agyeman FO, Liu F. The spillover effect of green finance development on rural revitalization: an empirical analysis based on China's provincial panel data. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:58907-58919. [PMID: 37002516 PMCID: PMC10066002 DOI: 10.1007/s11356-023-26655-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 03/22/2023] [Indexed: 05/07/2023]
Abstract
With the overall victory of poverty alleviation in China, the focus of rural work has been transformed into rural revitalization. Therefore, based on the panel data of 30 provinces and cities in China spanning 2011 to 2019, this research used the entropy-TOPSIS method to calculate the weights of each index of the two rural revitalization and green finance systems. This research also constructs the spatial Dubin model to empirically analyze the direct effects and spatial spillover effects of green finance development on the level of rural revitalization. Additionally, this research calculates the weight of each indicator of rural revitalization and green finance using entropy-weighted TOPSIS. This research reveals that the current state of green finance is not conducive to increasing local rural revitalization and does not significantly affect all provinces. Further, the number of human resources can improve the local level of rural revitalization, not the entire province. These dynamics benefit the growth of local rural revitalization in the surrounding areas if employment and technology levels are developed domestically. Moreover, this research reveals that education level and air quality have a spatial crowding effect on rural revitalization. Thus, when developing rural revitalization and development policies, it is vital to prioritize the high-quality development of finance to be closely monitored by local governments at the respective levels. Furthermore, the stakeholders must pay critical attention to the connection between supply and demand and between financial institutions and agricultural enterprises in the provinces. Again, the policymakers must also increase policy preference, deepen regional economic cooperation, and improve the supply of essential rural elements to play a more significant role in green finance and support rural revitalization.
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Affiliation(s)
- Yu Sun
- Zhenjiang College, Zhenjiang, 212013 China
- School of Management, Jiangsu University, Zhenjiang, 212013 China
| | - Gang Ding
- Zhenjiang College, Zhenjiang, 212013 China
| | - Mingxing Li
- School of Management, Jiangsu University, Zhenjiang, 212013 China
- Research Center for Green Development and Environmental Governance, Jiangsu University, Zhenjiang, 212013 China
| | - Mengjuan Zhang
- School of Management, Jiangsu University, Zhenjiang, 212013 China
| | | | - Fengqing Liu
- Law School of Jiangsu University, Jiangsu University, Zhenjiang, 212013 China
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Fahim F, Mahadi B. Green supply chain management/green finance: a bibliometric analysis of the last twenty years by using the Scopus database. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:84714-84740. [PMID: 35789465 PMCID: PMC9255549 DOI: 10.1007/s11356-022-21764-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 06/27/2022] [Indexed: 05/24/2023]
Abstract
Mostly, the product manufacturer and activities related to transportation have a greater influence on the supply chain and the environment. Hence, the green investment in water, biodiversity protection, waste treatment, resources, and climate change alleviation help in enhancing industrial production. Thus, for the enhancement of green growth, the industries must adopt green financing by making investments in ecology, climate change, and carbon reduction. Despite having the greatest growth in green supply chain management, still, the implementations of greening the product and processes have not been seen properly in many industries. A bibliometric analysis was conducted through VOS viewer version 1.6.7. of last twenty years (2001-2021). A total of 2385 articles were retrieved from the Scopus database. The results revealed that China, India, Iran, and Taiwan have a vast collection of articles and have very strong international collaborations. The most cited authors were Sarkis, J., Zhu, Q., and Khan, S.A.R. The results also suggest that green supply chain management research was related to the field of engineering, environmental science, energy sciences, social sciences, and business management. Some new areas are discovered like green innovation, green information technology, green productivity, corporate environmental responsibility, green investments, green credit, and green credit policy. As evidenced from our bibliographic database search, it is observed that integrated work on green supply chain management and green finance is limited, and this makes this research work to be novel. This study is beneficial for credit managers and policymakers.
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Affiliation(s)
- Faryal Fahim
- Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Skudai, Johor Malaysia
| | - Batiah Mahadi
- Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 Skudai, Johor Malaysia
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Ding X, Jing R, Wu K, Petrovskaya MV, Li Z, Steblyanskaya A, Ye L, Wang X, Makarov VM. The Impact Mechanism of Green Credit Policy on the Sustainability Performance of Heavily Polluting Enterprises-Based on the Perspectives of Technological Innovation Level and Credit Resource Allocation. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192114518. [PMID: 36361399 PMCID: PMC9653786 DOI: 10.3390/ijerph192114518] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 05/29/2023]
Abstract
Green credit policy (GCP), as one of the key financial instruments to achieve 'carbon peaking' and 'carbon neutrality' targets, provides capital support for the green development of enterprises. This paper explores the impact mechanism of GCP on the sustainability performance of heavily polluting enterprises (HPEs) from the perspectives of technological innovation level (TIL) and credit resource allocation (CRA), using panel data for Chinese A-share listed manufacturing companies from 2010 to 2015 to construct a propensity score matching and differences-in-differences (PSM-DID) model. We find that GCP has a causal effect on corporate sustainability performance (CSP). Although GCP significantly improves CSP, there is no long-term effect. Heterogeneity analysis shows that the relationship between GCP and CSP is only significant in non-state-owned enterprises and in eastern and low-market-concentration enterprises. Mechanism tests indicate that GCP stimulates HPEs to invest more in technological innovation and thereby improves CSP through the innovation compensation effect; the credit constraint and information transfer effects caused by GCP reduce the credit resources available to HPEs but have a significant forced effect on CSP. This paper enriches the study of the economic consequences of GCP and provides implications for stakeholders to improve the green financial system and achieve green transformation of HPEs.
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Affiliation(s)
- Xiaowei Ding
- Faculty of Economics, RUND University, 117198 Moscow, Russia
| | - Ruxu Jing
- Institute of Economics, Moscow State University, 119991 Moscow, Russia
| | - Kaikun Wu
- Institute of Economics and Management, Lviv Polytechnic National University, 999146 Lviv, Ukraine
| | | | - Zhikun Li
- Institute of Asian and African Studies, Moscow State University, 119991 Moscow, Russia
| | - Alina Steblyanskaya
- School of Economics and Management, Harbin Engineering University, Harbin 150009, China
| | - Lyu Ye
- Institute of Industrial Management, Economics and Trade, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia
| | - Xiaotong Wang
- Faculty of Economics, RUND University, 117198 Moscow, Russia
| | - Vasiliy M. Makarov
- Institute of Industrial Management, Economics and Trade, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia
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Wei Z, Huang L. Invading the dynamics of economic growth and CO 2 emission: panel data error correction model (ECM) approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:73365-73381. [PMID: 35619012 DOI: 10.1007/s11356-022-20189-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Accepted: 04/06/2022] [Indexed: 06/15/2023]
Abstract
This paper examined the impact of green finance and financial technology on economic growth by utilizing statistics between 1990 to 2000 gathered from 50 US states and regions. A two-step generalized GMM was used to analyze the link between green finance, financial technology, and continued economic growth using panel regression analysis. We found that the US green finance sector had grown significantly and such growth was accompanied by an increase in the usage of non-combustible energy and an advancement in the green finance economic forum. This research concludes that green financing has a beneficial impact on all three components of continued financial development. There is a favorable influence of financial technology on green finance in environmental and economic dimensions, although the link between green banking and investment performance is only somewhat affected by technology. When total emissions increased, non-oil energy usage did not grow and initiatives for renewable energy initiatives were lacking. As a result, there was a decline in the growth of green finance. Green funding and total emissions had a significant impact on the US non-combustible energy usage as did explicit policy changes. The recommendation is also canvassed to strengthen the adoption of green financing policies, increase the use of non-combustible energy, and build an alternative energy economy. It also offers three policy recommendations for policymakers, namely, to improve the integration of banking technology with green finance, develop a corporate environmental approach to manage and control state authorities in increasing green finance productivity, and generate medium- and long-term favorable steps to support green finance in the financial market.
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Affiliation(s)
- Zhao Wei
- School of Business, Fuzhou Institute of Technology, Fuzhou, 350506, Fujian, China
| | - Lihua Huang
- School of Economic and Management, Fuzhou University of International Studies and Trade, Fuzhou, 350202, Fujian, China.
- Research Center of Open Economics and Trade, Fuzhou University of International Studies and Trade, Fuzhou, 350202, China.
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Yang Y, Zhang Y. The Impact of the Green Credit Policy on the Short-Term and Long-Term Debt Financing of Heavily Polluting Enterprises: Based on PSM-DID Method. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11287. [PMID: 36141564 PMCID: PMC9517520 DOI: 10.3390/ijerph191811287] [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: 08/08/2022] [Revised: 09/02/2022] [Accepted: 09/04/2022] [Indexed: 05/06/2023]
Abstract
"Green economy and sustainable development" has become the focus of contemporary world economic development. As an important part of green financial instruments, green credit has become a hot topic. This paper investigates whether the Green Credit Policy has had any impact. Does it have a binding effect on the debt financing of heavily polluting enterprises? Using the Green Credit Guidelines as the starting point for the implementation of the Green Credit Policy, this paper takes Chinese A-share listed enterprises from 2004 to 2020 as the research sample, and applies the propensity score matching combined with difference-in-difference (PSM-DID) method to analyze the impact of green credit policies on the long- and short-term financing scale of heavily polluting enterprises. The study found that the implementation of the Green Credit Policy significantly suppressed the long-term financing of heavily polluting enterprises, but allowed for the expansion of short-term financing for heavily polluting enterprises. Compared with the state-owned enterprises, the Green Credit Policy has a more significant impact on non-state-owned enterprises in terms of suppressing long-term financing and increasing short-term financing, suggesting that the Green Credit Policy is affected by the "credit discrimination" of non-state-owned enterprises. Therefore, the Green Credit Policy still needs to be improved. This study provides empirical evidence of the effectiveness of green credit policies in China, and offers suggestions for further green credit policies in the future.
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Affiliation(s)
| | - Yingli Zhang
- School of Economics and Management, Shanghai Ocean University, Shanghai 201306, China
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