Economic Analysis and Policy最新文献_第9页

Climate policy uncertainty and its impact on energy demand: An empirical evidence using the Fourier augmented ARDL model 气候政策的不确定性及其对能源需求的影响：使用傅立叶增强 ARDL 模型的经验证据

IF 7.9 2区经济学

Economic Analysis and Policy Pub Date : 2024-09-04 DOI: 10.1016/j.eap.2024.08.021

Zhe Tu , Bisharat Hussain Chang , Raheel Gohar , Eunchan Kim , Mohammed Ahmar Uddin

{"title":"Climate policy uncertainty and its impact on energy demand: An empirical evidence using the Fourier augmented ARDL model","authors":"Zhe Tu , Bisharat Hussain Chang , Raheel Gohar , Eunchan Kim , Mohammed Ahmar Uddin","doi":"10.1016/j.eap.2024.08.021","DOIUrl":"10.1016/j.eap.2024.08.021","url":null,"abstract":"<div><p>Global climate change and its subsequent impact on energy demand present pressing issues for policymakers. Existing literature presents various determinants of energy demand, but the intricate relationship between energy demand and climate policy uncertainty (CPU) remains underexplored. Utilizing the Fourier-augmented ARDL (FA-ARDL) model and drawing from monthly data spanning March 1995 to August 2022, we investigate the impact of CPU on energy demand in China. Our study finds a significant long-run co-integration between climate policy uncertainty (CPU) and renewable energy demand. The FA-ARDL analysis shows that CPU negatively impacts renewable energy demand in both the short and long term, as it leads to higher renewable energy prices. These increased prices deter stakeholders from investing in or adopting renewable technologies, making renewables less competitive compared to traditional energy sources. Our findings are helpful for policymakers to communicate the climate objectives since mitigating climate-related uncertainties would substantially drive renewable energy consumption.</p></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"84 ","pages":"Pages 374-390"},"PeriodicalIF":7.9,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Coming clean on your taxes 诚实纳税

IF 7.9 2区经济学

Economic Analysis and Policy Pub Date : 2024-09-04 DOI: 10.1016/j.eap.2024.08.032

Sebastian Beer, Ruud de Mooij

引用次数: 0

Does oil price uncertainty affect IPO underpricing? Evidence from China 油价不确定性是否影响 IPO 定价？来自中国的证据

IF 7.9 2区经济学

Economic Analysis and Policy Pub Date : 2024-09-02 DOI: 10.1016/j.eap.2024.09.007

Xin Xiang , Xu He , Yajie Han

引用次数: 0

Advancing green innovation through the establishment of data regulatory bodies: Insights from the Big Data Bureau in China 通过建立数据监管机构推进绿色创新：中国大数据局的启示

IF 7.9 2区经济学

Economic Analysis and Policy Pub Date : 2024-09-02 DOI: 10.1016/j.eap.2024.09.003

Cuiying Shao , Zhanyu Liu

引用次数: 0

Technological progress and economic dynamics: Unveiling the long memory of total factor productivity 技术进步与经济活力：揭示全要素生产率的长期记忆

IF 7.9 2区经济学

Economic Analysis and Policy Pub Date : 2024-09-02 DOI: 10.1016/j.eap.2024.09.004

Anran Xiao , Zeshui Xu , Tong Wu , Yong Qin , Marinko Skare

{"title":"Technological progress and economic dynamics: Unveiling the long memory of total factor productivity","authors":"Anran Xiao , Zeshui Xu , Tong Wu , Yong Qin , Marinko Skare","doi":"10.1016/j.eap.2024.09.004","DOIUrl":"10.1016/j.eap.2024.09.004","url":null,"abstract":"<div><p>This study aims to explore the dynamics of total factor productivity (TFP) in 40 advanced economies and its implications for economic stability, growth patterns, and technological integration. Understanding the concept of long memory in TFP is crucial in comprehending the diverse paths of economic development and technological advancement in different nations. The study endeavors to clarify the concept of long memory in TFP and analyze its impact on economic stability, growth patterns, and technological integration on a global scale. The research employs a sophisticated methodological framework that integrates a combination of unit root tests, non-parametric methods, fractional integration techniques, and ARFIMA models. This multifaceted approach provides a nuanced understanding of the persistence in TFP series and helps distinguish between stable and mean-reverting TFP dynamics across different nations. The analysis highlights the varying trajectories of TFP across these economies, which sheds light on the diverse paths of economic development and technological advancement. The findings of this research are pivotal in comprehending the role of TFP in shaping growth convergence, influencing business cycle fluctuations, and technological progress. The study contributes to policy discourse by proposing strategic policy measures that harness the long-term trends of TFP. These recommendations encompass key areas such as labor, capital, institutional frameworks, and innovation policies. Countries can optimize sustainable economic development and foster effective technological integration in an increasingly interconnected global economy by implementing these measures.</p></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"84 ","pages":"Pages 326-343"},"PeriodicalIF":7.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142164206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Catalytic role of the digital economy in fostering corporate green technology innovation: a mechanism for sustainability transformation in China 数字经济在促进企业绿色技术创新中的催化作用：中国可持续发展转型的机制

IF 7.9 2区经济学

Economic Analysis and Policy Pub Date : 2024-09-02 DOI: 10.1016/j.eap.2024.09.005

Shixian Ling , Hongfu Gao , Di Yuan

引用次数: 0

Balancing progress and preservation: analyzing the role of technological innovation in mitigating environmental degradation caused by energy consumption in China 平衡进步与保护：分析技术创新在缓解中国能源消耗造成的环境退化中的作用

IF 7.9 2区经济学

Economic Analysis and Policy Pub Date : 2024-09-02 DOI: 10.1016/j.eap.2024.09.001

Xiuyun Yang , Muhammad Nouman Shafiq , Arshian Sharif , Seemab Gillani , Xubin Zeng

{"title":"Balancing progress and preservation: analyzing the role of technological innovation in mitigating environmental degradation caused by energy consumption in China","authors":"Xiuyun Yang , Muhammad Nouman Shafiq , Arshian Sharif , Seemab Gillani , Xubin Zeng","doi":"10.1016/j.eap.2024.09.001","DOIUrl":"10.1016/j.eap.2024.09.001","url":null,"abstract":"<div><p>China is undergoing a significant transition as it modernizes its energy consumption system and changes its approach to economic development. However, this transformation comes at the expense of environmental quality. The utilization of technological innovation has emerged as a significant catalyst for China's pursuit of environmentally conscious and sustainable development. Accordingly, this study utilizes panel data from 30 Chinese provinces spanning the years 1997–2021. The research employs the MMQR and BSQR to conduct an empirical analysis to find the influence of energy consumption (EC) and technological innovation (TI) on environmental degradation (ED). The findings of the research indicate that EC is a prominent manifestation of ED, while TI contributes negatively to ED. The inclusion of an interaction term suggests that the relationship between TI and ED can be influenced by the extent to which energy conservation and emission reduction are improved. The study's conclusion revealed that economic growth, population, and industrial structure are positively associated with CO<sub>2</sub> emissions in China. This study offers a set of recommendations for policymakers to formulate policies related to environmental quality.</p></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"84 ","pages":"Pages 391-409"},"PeriodicalIF":7.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Navigating total-factor carbon emission efficiency in the digital era: A case study from industry structure, environmental regulations, and trade spillover 数字时代的全要素碳排放效率导航：来自产业结构、环境法规和贸易溢出的案例研究

IF 7.9 2区经济学

Economic Analysis and Policy Pub Date : 2024-09-02 DOI: 10.1016/j.eap.2024.09.002

Jianda Wang , Weijian Lyu , Xi Chen , Senmiao Yang , Xiucheng Dong

{"title":"Navigating total-factor carbon emission efficiency in the digital era: A case study from industry structure, environmental regulations, and trade spillover","authors":"Jianda Wang , Weijian Lyu , Xi Chen , Senmiao Yang , Xiucheng Dong","doi":"10.1016/j.eap.2024.09.002","DOIUrl":"10.1016/j.eap.2024.09.002","url":null,"abstract":"<div><p>Digital technology innovation has become essential to China's sustainable, low-carbon social development strategy. However, its spatial impact on carbon reduction and efficiency is unclear. This study innovatively utilizes patent search to define digital technology innovation and spatial econometric modeling to assess its association with total-factor carbon emission efficiency (TCEE) in 286 Chinese cities. There are some exciting research findings: (1) Digital technology innovation effectively accelerates local TCEE and contributes to TCEE in surrounding cities through spatial spillover effects. (2) The heterogeneous results show that digital technology innovation increases the local TCEE in the western region, inhibits the local TCEE in the eastern and northeastern areas, and shows apparent positive spillover effects in both the eastern and western areas; the positive effects of digital technology innovation on TCEE in non-resource cities and small cities are all-encompassing. (3) Both industrial structure upgrading and optimization can enhance the spatial spillover effect of digital technology innovation on TCEE; both formal and informal environmental regulations (ER) can effectively accelerate the TCEE enhancement effect of digital technology innovation on local and surrounding cities. (4) Digital technology innovation affects the TCEE of trading partners through domestic bilateral trade. This manuscript provides an actionable reference for measuring digital technology innovation and China's path to achieving an efficient low-carbon pathway.</p></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"84 ","pages":"Pages 260-277"},"PeriodicalIF":7.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142149923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy transitions across household distributions in northern India 印度北部不同家庭的能源转型

IF 7.9 2区经济学

Economic Analysis and Policy Pub Date : 2024-09-01 DOI: 10.1016/j.eap.2024.05.004

{"title":"Energy transitions across household distributions in northern India","authors":"","doi":"10.1016/j.eap.2024.05.004","DOIUrl":"10.1016/j.eap.2024.05.004","url":null,"abstract":"<div><p>This paper investigates sustainable household energy transitions including a reduction in kerosene lamp use and increases in solar home systems and solar lanterns. We use a large and detailed survey of around 9,000 households in northern India in 2015 and 2018. Our key analytical insights focus on inequality across economic and wealth distributions, including the lack of major distributional changes between the two survey waves. We find that a positive relationship between economic resources and solar home system use is driven by the upper end of economic distributions. Kerosene use is also substantially lower for the top of the economic distribution, especially in the 2018 survey. In contrast, economic resources have a weak relationship with solar lantern use. Future policies can be devised with reference to our results showing a more robust relationship between assets, rather than income, and household energy transitions. The stronger influence of assets is evident for a range of asset variables and for a composite wealth index which we construct. Detailed analysis of socio-economic distributions has value for informing policy attempts to target support to constrained households.</p></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"83 ","pages":"Pages 1151-1163"},"PeriodicalIF":7.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0313592624001176/pdfft?md5=75aa8338b8e4a7a5c2b9bf5170358638&pid=1-s2.0-S0313592624001176-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141045207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Local government fiscal stress and regional entrepreneurship: Evidence from a natural experiment in China 地方政府财政压力与地区创业：来自中国自然实验的证据

IF 7.9 2区经济学

Economic Analysis and Policy Pub Date : 2024-08-31 DOI: 10.1016/j.eap.2024.08.026

Jiacai Xiong , Ling Huang , Xin Wang , Martin Bai , Yafeng Qin

引用次数: 0