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Economic Change and Restructuring最新文献

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Exploring the impact of clean energy interconnections on sustainable economic growth in China 探索清洁能源互联互通对中国经济可持续增长的影响
IF 3.1 3区 经济学 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-19 DOI: 10.1007/s10644-024-09698-7
Jianlong Wang, Weilong Wang, Yong Liu
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引用次数: 0
Does financial liberalization promote corporate environmental performance? Evidence from foreign banks' entry into China 金融自由化会促进企业环境绩效吗?外资银行进入中国的证据
IF 3.1 3区 经济学 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-15 DOI: 10.1007/s10644-024-09683-0
Can Yang, Mingxian Liu, Renmei Liu
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引用次数: 0
Role of sustainability ethics in amplifying investments in common green properties and infrastructure in China 可持续发展伦理在扩大中国普通绿色地产和基础设施投资中的作用
IF 3.1 3区 经济学 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-15 DOI: 10.1007/s10644-024-09674-1
Jiaguo Peng, Lifei Huang, Jian Xu
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引用次数: 0
Unveiling time-varying asymmetries in the stock market returns through energy prices, green innovation, and market risk factors: wavelet-based evidence from China 通过能源价格、绿色创新和市场风险因素揭示股市收益的时变非对称性:基于小波的中国证据
IF 3.1 3区 经济学 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-14 DOI: 10.1007/s10644-024-09684-z
Muhammad Ramzan, Mohammad Razib Hossain, K. Abbasi, T. Adebayo, Rafael Alvarado
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引用次数: 0
Sustainable manufacturing intelligence: pathways for high-quality and energy efficient economic growth 可持续制造智能:实现高质量和高能效经济增长的途径
IF 3.1 3区 经济学 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-13 DOI: 10.1007/s10644-024-09692-z
Lei Xia, Qingjiang Han, Shui Yu
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引用次数: 0
Can the sports industry foster the transition to net-zero and green growth? 体育产业能否促进向净零增长和绿色增长过渡?
IF 3.1 3区 经济学 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-13 DOI: 10.1007/s10644-024-09689-8
Qian Zhang, Linlin Sun, Jian Xu

This study explores the relationship between sports commodity imports and the green growth index in G20 economies from 2000 to 2020, using the cross-sectionally augmented autoregressive distributed lag technique. Our findings reveal a significant positive correlation, indicating that a 1% increase in sports commodity imports corresponds to notable short-term and long-term increases of 0.38% and 0.46%, underlining the sports industry’s vital role in advancing environmental sustainability. Conversely, detrimental effects on the green growth index are observed for the carbon footprint, waste generation, health expenditure, and foreign direct investment, emphasizing the need for sustainable practices. The enduring impact of these factors is consistently demonstrated. A robustness analysis, substituting the green growth index with green energy deployment, reaffirms the positive impact of sports commodity imports. Recommendations include incentivizing eco-friendly sports technologies, implementing stringent environmental standards, fostering collaboration, introducing tax incentives, and conducting comprehensive awareness campaigns.

本研究采用横截面增强自回归分布滞后技术,探讨了2000年至2020年G20经济体体育商品进口与绿色增长指数之间的关系。我们的研究结果表明,体育商品进口量每增加 1%,其短期和长期增长率分别为 0.38% 和 0.46%,这凸显了体育产业在促进环境可持续发展方面的重要作用。相反,碳足迹、废物产生、医疗支出和外国直接投资则对绿色增长指数产生了不利影响,强调了可持续发展实践的必要性。这些因素的持久影响始终如一。用绿色能源部署替代绿色增长指数的稳健性分析再次证实了体育商品进口的积极影响。建议包括激励生态友好型体育技术、实施严格的环境标准、促进合作、引入税收激励措施以及开展全面的宣传活动。
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引用次数: 0
Exploring the role of quality and inclusive education in meeting sustainable development goals 探索优质和全纳教育在实现可持续发展目标方面的作用
IF 3.1 3区 经济学 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-13 DOI: 10.1007/s10644-024-09690-1
Chunyang Wang, Qianqian He, Jian Xu

This research investigates the interaction among state education expenditure, the proportion of educated population, and their influence on the Composite Sustainable Development Index from 2000 to 2020, encompassing BRICS and extended BRICS + nations, using the CUP-FM methodology. Results indicate a significant correlation, where a 1% increase in education spending in BRICS + corresponds to an almost 0.15% elevation in sustainable development. This correlation is attributed to enhancements in human capital, innovation, poverty reduction, social equality, and environmental awareness. Nevertheless, the sheer quantity of educated individuals alone does not markedly affect sustainable development, underscoring the importance of educational quality. The study also identifies a robust connection between internet access and sustainability, with a 1% increase resulting in a more than 0.2% improvement. Conversely, challenges arise from waste generation, CPI, and uncertainty, each causing roughly 0.10%, 0.23%, and 0.19% reductions with a 1% increase. Policy implications emphasize the need to prioritize environmentally friendly education, strategically allocate resources, address challenges, and promote digital connectivity for informed decision-making and innovation.

本研究采用 CUP-FM 方法,调查了 2000 年至 2020 年国家教育支出、受教育人口比例之间的相互作用,以及它们对金砖五国和扩展的金砖五国+国家的可持续发展综合指数的影响。结果表明,"金砖五国+"的教育支出每增加 1%,可持续发展指数就会提高近 0.15%。这种相关性归因于人力资本、创新、减贫、社会平等和环境意识的提高。尽管如此,受教育人口的数量本身并不会对可持续发展产生显著影响,这凸显了教育质量的重要性。研究还发现,互联网接入与可持续发展之间存在密切联系,互联网接入每增加 1%,可使可持续发展水平提高 0.2%以上。相反,废物产生、消费价格指数和不确定性则带来了挑战,每增加 1%,就会分别导致约 0.10%、0.23% 和 0.19% 的下降。政策影响强调需要优先考虑环境友好型教育,战略性地分配资源,应对挑战,并促进数字连接,以利于知情决策和创新。
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引用次数: 0
Biomass energy and rural development: economic benefits and sustainability pathways 生物质能和农村发展:经济效益和可持续性途径
IF 3.1 3区 经济学 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-12 DOI: 10.1007/s10644-024-09630-z
Kai Chen, Yilin Chen
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引用次数: 0
Regional carbon efficiency and corporate risk-taking 地区碳效率和企业风险承担
IF 3.1 3区 经济学 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-12 DOI: 10.1007/s10644-024-09695-w
Xiaohui Chen, Wen Chen, Xiaoxiang Wang
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引用次数: 0
Dynamic volatility among fossil energy, clean energy and major assets: evidence from the novel DCC-GARCH 化石能源、清洁能源和主要资产之间的动态波动性:来自新型 DCC-GARCH 的证据
IF 3.1 3区 经济学 Q2 Economics, Econometrics and Finance Pub Date : 2024-04-12 DOI: 10.1007/s10644-024-09696-9
Oktay Ozkan, Salah Abosedra, Arshian Sharif, Andrew Adewale Alola

The objective of this paper is to assess the dynamic volatility connectedness between fossil energy, clean energy, and major assets i.e., Bonds, Bitcoin, Dollar index, Gold, and Standard and Poor's 500 from September 17, 2014 to October 11, 2022. The main motivation of the study relates to examining the dynamic volatility connectedness mentioned during periods of important events such as the recent coronavirus pandemic and the Russia–Ukraine conflict which has shown the vulnerability of economic and financial assets, energy commodities, and clean energy. The novel Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroskedasticity (DCC-GARCH) approach is employed for the investigation of the sample period mentioned. Empirical analysis reveals that both the total and net volatility connectedness between assets is time-varying. The highest connectedness among the assets is observed with the onset of the coronavirus (COVID-19) pandemic, and it increases with some important international events, such as the Russia–Ukraine conflict, the referendum of Brexit, China–US trade war, and Brexit day. On average, the result shows that 32.8% of the volatility in one asset spills over to all other assets. The DCC-GARCH results also indicate that crude oil, bonds, and Bitcoin act as almost pure volatility transmitters, whereas the Dollar index, gold, and S&P500 act as volatility receivers. On the other hand, clean energy is found neutral to external shocks until the first quarter of 2020 and after that time, it starts to behave as a volatility transmitter. Based on the obtained results, we offer some specific policy implications that are beneficial to the US economy and other countries.

Graphical Abstract

Dynamic volatility connectedness between fossil energy, clean energy, and major assets (Bonds, Bitcoin, Dollar index, Gold, and Standard and Poor's 500)

本文旨在评估 2014 年 9 月 17 日至 2022 年 10 月 11 日期间化石能源、清洁能源与主要资产(即债券、比特币、美元指数、黄金和标准普尔 500 指数)之间的动态波动关联性。本研究的主要动机是研究在一些重要事件(如最近的冠状病毒大流行和俄罗斯-乌克兰冲突)期间提到的动态波动关联性,这些事件显示了经济和金融资产、能源商品和清洁能源的脆弱性。本文采用了新颖的动态条件相关-广义自回归条件异方差(DCC-GARCH)方法对上述样本期进行研究。实证分析表明,资产之间的总波动率和净波动率关联性都是随时间变化的。冠状病毒(COVID-19)疫情爆发时,资产间的关联度最高,而随着一些重要国际事件的发生,如俄乌冲突、英国脱欧公投、中美贸易战、英国脱欧日等,资产间的关联度也随之增加。平均而言,结果显示一种资产 32.8% 的波动会波及所有其他资产。DCC-GARCH 结果还表明,原油、债券和比特币几乎是纯粹的波动率传递者,而美元指数、黄金和 S&P500 则是波动率接收者。另一方面,清洁能源在 2020 年第一季度之前对外部冲击保持中立,之后则开始成为波动率的传播者。基于所获得的结果,我们提出了一些对美国经济和其他国家有利的具体政策含义。 图表摘要化石能源、清洁能源和主要资产(债券、比特币、美元指数、黄金和标准普尔 500 指数)之间的动态波动性关联性
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Economic Change and Restructuring
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