ORCID Profile
0000-0003-2323-7636
Current Organisations
Krirk University
,
Anhui International Studies University
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Publisher: MDPI AG
Date: 19-08-2022
DOI: 10.3390/EN15166012
Abstract: The carbon emissions in China contribute to around one-third of the world total. Therefore, China plays a critical role in global carbon emissions reduction. Over the last few years, the Chinese government has implemented a range of counter-measures to accelerate the green transition. In this research, we empirically investigate the relationship between carbon intensity and the green transition. Based on provincial panel data of Chinese manufacturing industries from 2008 to 2019, we measure the relationship between carbon intensity and green transition capacity in 30 provinces, employing the Generalized Method of Moments (GMM) to examine their influencing mechanism and regional heterogeneity. Furthermore, we use an intermediary model to investigate the influence of financial development on the relationship between carbon intensity and manufacturing green transition. We find that a U-shaped relationship exists, where increasing carbon emissions restrain the green transition initially but improve it later, such that the transition upgrades gradually. Regarding the regional heterogeneity, the GMM results show that carbon intensity has the most significant impact on the green transition in the central provinces, followed by western provinces. Meanwhile, financial performance is an essential contributor to the relationship, as more funds flow into contamination-dominated but profitable projects, thus inhibiting the transition. Urbanization and marketization are also included into threshold models, which suggest the existence of relevant threshold effects in the relationship. These findings have a referenced value suggesting that the local governments follow the U-shaped theory to reform the local carbon reduction policies and green development target according to the regional economic performance and geographical advantages.
Publisher: SAGE Publications
Date: 10-2022
DOI: 10.1177/21582440221127165
Abstract: This study investigates venture capital (VC) reputation impact on the pre-IPO performance of the entrepreneurial firms backed by three kinds of VCs. This study employs backward stepwise regression models following prior theoretical frameworks to examine the research question. Based on a database of the top 50 VC firms ranked during 2016 to 2020 and their portfolio firms. This study shows some contingent contribution to pre-IPO firm performance. Firstly, the reputation of the Chinese government-owned VCs is negatively associated with their portfolio firm performance. Still, there is a positive relationship between foreign and local private VCs. Secondly, entrepreneurial firm performance is significantly associated with industry policy and entrepreneur’s performance than VC reputation. This study has practical implications for entrepreneurs and limited partners regarding their corporation relationships with the Chinese VCs. JEL codes: G24, G34
Publisher: Elsevier BV
Date: 08-2023
Publisher: MDPI AG
Date: 05-09-2021
DOI: 10.3390/JRFM14090424
Abstract: Based on a database of 200 listed firms from the Growth Enterprise Market of China, this paper employs regression models to investigate the significance of IPO capital expenditure to firms’ operating performance. It suggests that a vast majority of pre-IPO money is spent on business development to promote operating performance in order to meet IPO requirements. After the IPO, most of the money is transferred to equity investments in order to increase the firms’ market value quickly, which leads to operating performance decline and deterioration.
Publisher: Frontiers Media SA
Date: 08-2023
DOI: 10.3389/FENVS.2023.1238175
Abstract: Introduction: In vulnerable environments, accurate and complete assessments of green water efficiency (GWE) must consider unexpected outputs. Methods: This study employed the hyper-efficiency SBM-DEA model and SDM method to investigate the spatial heterogeneity and the determinants of GWE, respectively, in nine Chinese provinces along the Silk Road Economic Belt (SREB), which is characterized by a vulnerable ecological and economic system. Results: Using data from 2008 to 2019, this study found that the green performance indicator varied in these provinces GWE showed substantial spatial heterogeneity, with a negative spatial autocorrelation among the provinces with a low-to-high or high-to-low distribution. The southwest provinces had a higher GWE than the northwest, but there was no significant GWE improvement in the whole region. Both governmental engagement and environmental protection were the most influential determinants of GWE, which showed spatial spillover effects, followed by water pollution then economic growth, demonstrating that the GWE in vulnerable ecosystems may be changed by any factor depending on unexpected outputs. Discussion: This study suggests that reducing the side effects of unexpected outputs in vulnerable environments, because the ecosystem will be redamaged by unexpected contaminants when improving the local GWE.
Publisher: AOSIS
Date: 12-2021
Publisher: SAGE Publications
Date: 10-2023
Publisher: MDPI AG
Date: 07-04-2022
DOI: 10.3390/EN15082718
Abstract: As an economic corridor, the Silk Road Economic Belt (SREB) connects the East to Western nations, where carbon emissions are gradually becoming severe. This study aims to provide solutions for dealing with carbon emissions from the transportation of the SREB in the Chinese range. By employing the Malmquist index method of data envelopment analysis (DEA), this study develops models to test the different carbon-reduction performances (CRP) of transportation in the Chinese provinces along the SREB. This study shows that carbon-reduction performance has improved since 2013 because of the improvements in transportation technology. Technical efficiency, including scale efficiency and pure technological efficiency, may improve carbon reduction, while the lagged technological progress restricts the CRP. It is further suggested that the provincial CRPs are different. The southwest provinces have the best decarbonization performance, followed by the northwest, while the northeast provinces, including Inner Mongolia, underperform compared to the others. Therefore, the government should release some technology-orientated policies as soon as possible to facilitate the improvements in technical efficiency and progress in transportation vehicles and infrastructures in order to consequently reduce carbon emissions.
Publisher: MDPI AG
Date: 12-08-2022
DOI: 10.3390/EN15165853
Abstract: This study investigates whether natural gas exploitation is a blessing or a curse for provincial and prefecture economic growth. This study employs regression models and synthetic control methods (SCM) to investigate the research question based on hybrid panel and time-series data from 1993 to 2015 from 14 prefecture cities in Sichuan province in China. Based on the provincial data of Sichuan, the regression results show that natural gas exploitation is a curse for the provincial economic development of Sichuan because of the negative associations between gas resources and economic performance, for which the increasing rent-seeking in the province may partially account. However, the SCM results find that the local economy of Dazhou city may benefit from its sufficient natural gas resources in the short run, but it is not sustainable. Meanwhile, the gas resource has no significant contributions to the regional economic growth of Sichuan overall, which is partially attributed to the fact that resource exploitation has no significant spillover effects on some sustainable contributors, such as education, innovation, and others. The practical implication for the economic governors is that the resource-consumed economic route is not sustainable, although it may drive local economic growth in the short run.
Publisher: Springer Science and Business Media LLC
Date: 28-07-2023
Publisher: AOSIS
Date: 24-03-2023
Publisher: Wiley
Date: 04-10-2023
DOI: 10.1111/IJCS.12875
Abstract: This study reviews the literature on the residence after retirement via Systematic Literature Network Analysis, which consists of the systematic literature review and bibliometric network analysis. There are three research questions, including (1) what the most recent studies are on the residence after retirement, (2) Who the most significant authors, documents, and sources are in residence after retirement, and (3) whether the extant research structure could guide the future agenda for the residence after retirement. Based on the systematic literature review, this study extracts 50 publications from the Scopus database by keyword, document type, source type, publication period, language, and subject area relevant to the residence after retirement. This study analyzes data employing Nvivo, VOSviewer, and SciMAX. The clusters of authors, countries, keywords, documents, and sources linked with relevant studies on the residence after retirement are according to the co‐authorship (1) author, (2) country/territory, (3) keyword, and (4) document. Skitmore, M., Xia, B., Buys, I., Hu, X., Hu, Y., and Chen, Q. who the most influential authors are in residence after retirement. The themes of aging, continuing care retirement community, retirement village, and their associated keywords contribute to future research on the residence after retirement.
No related grants have been discovered for Hai Long.