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The assessment of climate change policies through a general equilibrium model: An application to Uruguay 通过一般均衡模型评估气候变化政策:乌拉圭的应用
IF 13.6 2区 经济学 Q1 ECONOMICS Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108142
Francisco Rosas
The objective of this study is to propose an extension of the Fullerton and Ta (2019) model, who show that their simple general equilibrium model generates comparable results to those yielded by large computable general equilibrium models. We propose key extensions that are relevant for climate policy analysis, in particular, for countries with significant net emissions coming from agriculture. We add timber production as another sector and land as another production factor, and analytically find the closed-form solution for the general equilibrium. We present an application calibrated to 2019 Uruguayan data, and implement the CO2-neutral scenario of its 2050 Climate Change Long Term Strategy (LTS) submitted to the UNFCCC, which targets a CO2 net-zero economy by 2050. It requires a sharp reduction in fossil fuels demand, an increase of electricity demand to compensate the reduction of energy demand, a moderate increase in forestry area driving CO2 sinks, and a moderate increase in livestock productivity that reduces the CO2 emissions per unit of output. We assess the impacts on some key macroeconomic variables. Results show that the LTS CO2-neutral scenario implies a cumulative impact on GDP level through 2050 of 0.01% or −0.73% depending on the set of policy instruments used. But considering that the time horizon is of about 30 years and assuming that the impact is equally distributed over time, it implies that the GDP growth rate remains almost unchanged relative to the baseline scenario. Therefore, this LTS, which implies drastic changes in the energy supply composition, implies only mild changes in GDP, but strong reductions on net CO2 emissions.
本研究的目的是提出对Fullerton和Ta(2019)模型的扩展,他们表明,他们的简单一般均衡模型产生的结果与大型可计算一般均衡模型产生的结果相当。我们提出了与气候政策分析相关的关键扩展,特别是针对农业净排放量巨大的国家。我们将木材生产作为另一个部门,土地生产作为另一个生产要素,并分析地找到一般均衡的封闭解。我们提出了一个针对2019年乌拉圭数据进行校准的应用程序,并实施其提交给《联合国气候变化框架公约》的2050年气候变化长期战略(LTS)中的二氧化碳中和情景,该战略的目标是到2050年实现二氧化碳净零经济。它要求大幅减少化石燃料需求,增加电力需求以弥补能源需求的减少,适度增加带动二氧化碳汇的森林面积,适度提高牲畜生产力以减少单位产出的二氧化碳排放量。我们评估了对一些关键宏观经济变量的影响。结果表明,LTS二氧化碳中性情景意味着到2050年对GDP水平的累积影响为0.01%或- 0.73%,具体取决于所使用的政策工具集。但考虑到时间跨度约为30年,并假设影响随着时间的推移平均分布,这意味着相对于基线情景,GDP增长率几乎保持不变。因此,这一LTS意味着能源供应构成的剧烈变化,意味着GDP只会发生轻微变化,但二氧化碳净排放量会大幅减少。
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引用次数: 0
New challenges for green finance and sustainable industrialization in developing countries: A panel data analysis
IF 13.6 2区 经济学 Q1 ECONOMICS Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108120
Fredj Jawadi , Thierry M. Pondie , Abdoulkarim Idi Cheffou
This paper uses the fixed-effect model, the S-GMM, and the Kinky least square method to investigate the effect of green finance on sustainable industrialization for a panel of 56 developing countries over the period 2000–2021. Accordingly, we propose a per region panel data analysis of the relationship between green finance and sustainable industrialization for three different regions: Africa, Asia, and South America. Our findings show that green finance contributes positively and significantly to improving sustainable industrialization in most of the developing countries under consideration, but that the effect is more pronounced for Asia and South America. This suggests that for a robust environmental result, these developing countries should make greater use of environmentally friendly sources of finance, which can help to reorient their industries toward greater sustainability as well as fight the main economic challenges: unemployment, poverty, inequality, and social injustice.
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引用次数: 0
Do supply chain and digitalization Foster China's advancement in green development? An evidence from wavelet quantile regression and wavelet quantile correlation analysis
IF 13.6 2区 经济学 Q1 ECONOMICS Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108099
Mohammad Maruf Hasan , Lanrui Li
Effective environmental technologies are crucial in addressing China's sustainability challenges, especially in green technology, green supply chains, and smart development. This study addresses the research gap in prioritizing green technologies, production or processing of goods, digital assistants, and financial mechanisms through specific policies to accelerate China's green development and strengthen its global environmental leadership. In this context, the study aims to investigate the relationships among supply chain disruptions, digitalization, remittances, research & development (R&D), and GDP on environment-related technologies in the Chinese economy by employing the wavelet quantile regression and wavelet quantile correlation analysis using quarterly data from 1995 to 2021. The results show a strong relationship among supply chain, digitalization, remittances, and R&D on environmental technology in the short term; however, these relationships tend to weaken over time. The correlation with GDP is relatively weak in the short term and strengthens only under specific long-term conditions. These findings emphasize the significance of examining both temporal and distributional aspects when assessing the influence of different factors on environmental technology. Study findings offer valuable insights for policymakers and stakeholders.
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引用次数: 0
How do renewable energy policies affect energy green development? Evidence from Chinese listed energy firms
IF 13.6 2区 经济学 Q1 ECONOMICS Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108154
Jingxue Zhang , Shiwei Yu , Yue-Jun Zhang , Bin Su , Ya-Fang Sun
To advance energy green development, the Chinese government attaches great importance to renewable energy policies (REP). Green technological innovation (GTI) by energy firms is a critical driver of energy green development; however, how city-level REP affect the GTI of energy firms remains unresolved. To this end, using the panel data from 821 A-share listed energy firms in China covering 2004–2021, this study adopts a staggered difference-in-differences model and the number of green patent applications to proxy for GTI to investigate this issue. The relevant results are threefold. (1) REP significantly increase the GTI of Chinese energy firms by 23.9 % during the research period. Compared with state-owned, small-scale, and high-tech energy firms, REP can better improve the GTI of non-state-owned, large-scale, and non-high-tech energy firms. (2) Regarding the influence mechanisms of REP on GTI, the mediating effects of financing constraints, corporate green governance, and information asymmetry are all significant, accounting for 1.065 %, 1.974 %, and 1.406 % of the total REP effect, respectively. Nevertheless, the three mediating effects are not all significant for heterogeneous energy firms. (3) As for the moderating effects, economic policy uncertainty and CEO green experience both significantly facilitate the REP effect on the GTI of Chinese energy firms, except for non-high-tech energy firms.
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引用次数: 0
Research on the optimal incentive and constraint mechanisms for corporate carbon information disclosure considering different market contexts: A network-based evolutionary game analysis 不同市场环境下企业碳信息披露的最优激励约束机制研究——基于网络的演化博弈分析
IF 13.6 2区 经济学 Q1 ECONOMICS Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2025.108207
Chaoping Zhu , Yixuan Su , Ruguo Fan , Ruiheng Xu , Bing Li
Corporate carbon information disclosure (CCID) is essential for facilitating a low-carbon transition in energy-intensive industries and achieving the “dual carbon” goals. However, many enterprises fail to fulfill their CCID obligations. This paper develops a complex network evolutionary game model for examining CCID in diverse market contexts and determining optimal incentive and constraint mechanisms. The findings reveal that: (1) The optimal single tax discount incentive or joint punishment constraint in a perfectly competitive market is lower than that in a monopolistically competitive market. (2) There is no notable discrepancy in the optimal single financial penalty constraints between the two market contexts. (3) The optimal combined incentive and constraint and the evolutionary time of CCID in a perfectly competitive market are less than those in a monopolistically competitive market. (4) Joint punishments reduce the optimal constraint for the complete diffusion of CCID compared to financial penalties, and combined mechanisms shorten the evolutionary time of CCID compared to the single mechanisms. This study not only identifies the optimal incentive and constraint mechanisms for CCID under single and combined scenarios, but also offers practical insights for the formulation of effective strategies to guide CCID in different market contexts.
企业碳信息披露(CCID)是促进能源密集型产业低碳转型和实现“双碳”目标的关键。然而,许多企业未能履行其CCID义务。本文建立了一个复杂的网络进化博弈模型,用于研究不同市场环境下的CCID,并确定最优的激励和约束机制。研究结果表明:(1)完全竞争市场的最优单一税收优惠激励或联合惩罚约束低于垄断竞争市场。(2)两种市场环境下的最优单项罚金约束不存在显著差异。(3)完全竞争市场下CCID的最优激励约束组合和演化时间小于垄断竞争市场。(4)联合惩罚相对于金融惩罚降低了CCID完全扩散的最优约束,联合机制相对于单一机制缩短了CCID的演化时间。本研究不仅确定了单一和组合情景下CCID的最优激励和约束机制,而且为制定有效的策略来指导不同市场情境下的CCID提供了实践见解。
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引用次数: 0
How does corporate digital transformation affect green innovation? Evidence from China's enterprise data
IF 13.6 2区 经济学 Q1 ECONOMICS Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2025.108217
Jian Zhang , Chin-Hsien Yu , Jinsong Zhao , Chi-Chuan Lee
Considering that corporate digital transformation plays a crucial role in promoting the sustainable growth of enterprises, the impact of this technological evolution on green innovation warrants additional investigation. Using firm-level data from China for the 2011–2020 period, our study demonstrates the influence of digital transformation on corporate green innovation. Our findings show that environmental information, when gathered through digital technologies, can guide firms in their green innovation efforts and assist in securing financial resources. Heterogeneity analysis suggests that in areas with stricter environmental regulations and non-high-tech firms, digital transformation exhibits a more pronounced ability to bolster green innovative capacity. Evidence also reveals the interplay between digital transformation and investors' green attention, indicating a notable positive influence on corporate green innovation. These insights provide valuable implications for both governments and corporations on how digital transformation can be harnessed to advance green innovation and achieve balanced sustainable development in both the economic and environmental dimensions.
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引用次数: 0
Navigating renewable technological innovations and green supply chain management: Crafting a novel framework for boosting ecological quality in China
IF 13.6 2区 经济学 Q1 ECONOMICS Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2025.108178
Xiaoxi Liu , Yunqiu Zhan , Dingwen Si , Zhen Wang
Green supply chain management and renewable technological innovations are integral to sustainable development goal (SDG) 9. Additionally, it serves as the basis for generating eco-friendly energy, indirectly contributing to the achievement of SDG 9. The shift from fossil fuels to green energy sources is crucial for sustainable development and promoting an eco-friendly setting. Therefore, this study examines the major driving forces of ecological quality (proxied by load capacity factor) between 1990Q1 and 2022Q4. Other factors, including natural gas consumption and energy prices, are also studied. The recently proposed quantile-based KRLS and Granger causality are utilized to solve the non-linear and non-normal distribution of the series. The findings of QQKRLS reveal that renewable technological innovations increase load capacity factor (LCF) across all quantiles, thus improving ecological quality. On the other hand, across all quantiles, natural gas consumption, energy prices, economic growth, urbanization, and green supply chain management lessen LCF, thus decreasing ecological quality. The QQGC results show that all the regressors (renewable technological innovations, natural gas consumption, energy prices, economic growth, and green supply chain management) can significantly predict LCF across all quantiles. The study formulates policies in line with these findings.
{"title":"Navigating renewable technological innovations and green supply chain management: Crafting a novel framework for boosting ecological quality in China","authors":"Xiaoxi Liu ,&nbsp;Yunqiu Zhan ,&nbsp;Dingwen Si ,&nbsp;Zhen Wang","doi":"10.1016/j.eneco.2025.108178","DOIUrl":"10.1016/j.eneco.2025.108178","url":null,"abstract":"<div><div>Green supply chain management and renewable technological innovations are integral to sustainable development goal (SDG) 9. Additionally, it serves as the basis for generating eco-friendly energy, indirectly contributing to the achievement of SDG 9. The shift from fossil fuels to green energy sources is crucial for sustainable development and promoting an eco-friendly setting. Therefore, this study examines the major driving forces of ecological quality (proxied by load capacity factor) between 1990Q1 and 2022Q4. Other factors, including natural gas consumption and energy prices, are also studied. The recently proposed quantile-based KRLS and Granger causality are utilized to solve the non-linear and non-normal distribution of the series. The findings of QQKRLS reveal that renewable technological innovations increase load capacity factor (LCF) across all quantiles, thus improving ecological quality. On the other hand, across all quantiles, natural gas consumption, energy prices, economic growth, urbanization, and green supply chain management lessen LCF, thus decreasing ecological quality. The QQGC results show that all the regressors (renewable technological innovations, natural gas consumption, energy prices, economic growth, and green supply chain management) can significantly predict LCF across all quantiles. The study formulates policies in line with these findings.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108178"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144863","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
Policy mixes to promote the diffusion of battery electric vehicles with an agent-based model and experiments using the case of China
IF 13.6 2区 经济学 Q1 ECONOMICS Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108152
Ronghui Zhu , Tieju Ma
Battery electric vehicles (BEVs) are effective tools for reducing carbon emissions. Incentive policies play an important role in promoting the development of emerging industries such as BEVs. The design of incentive policies to promote the diffusion of BEVs has been a critical focus in recent research. This study explores cost-effective financial incentive policies that consider regional heterogeneity. An agent-based model is developed that incorporates the individual heterogeneity of consumers and competition between BEVs and traditional internal combustion engine vehicles. The results indicate that consumer subsidies have a more direct promotional effect than manufacturer subsidies; however, this effect must be sustained by ongoing subsidies. Additionally, a policy mix is more efficient because an incentive policy can function better when combined with other policies. Furthermore, the inputs of subsidies are not “the more, the better,” and an appropriate mix of policies can result in better diffusion of BEVs. Finally, regional heterogeneities (e.g., potential market size and initial BEV ownership share) are important when designing incentive policies.
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引用次数: 0
How unexpected geopolitical risk affect the nonlinear spillover among energy and metal markets? 意外的地缘政治风险如何影响能源和金属市场的非线性溢出效应?
IF 13.6 2区 经济学 Q1 ECONOMICS Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108143
Shupei Huang , Xinya Wang , Qiang Ji
Geopolitical risk interacts with natural resource commodity markets closely and dynamically, which complicates the fluctuation spillover among those markets. We firstly uncover the overall and dynamic information spillover features among energy and metal markets, namely traditional energy, transition energy, new energy metals, precious metals, and traditional bulk metals in the nonlinear causal network constructed by combining the leave-one-out and transfer entropy methods. We then quantify the systemic significance of each sector in that network and further explore the impact of unexpected geopolitical risk in multiple-order moments on the significance of each sector during the sample period from January 4, 2011 to May 7, 2024. The results indicate that precious metals and traditional bulk metals are the two most significant sectors in the nonlinear causal network for information spillovers during the overall sample period, followed by traditional energy, new energy metals, and transition energy sectors; from a dynamic perspective, the significance of the transition energy and new energy metal sectors fluctuates with greater amplitude compared to other sectors. Regarding the impact of geopolitical risk on the significance of each sector, unexpected geopolitical risks have a more significant influence on energy and metal markets compared to generic geopolitical risks; moreover, the mean value of geopolitical risks exerts a greater effect on all sectors than its higher-order moment counterparts; all sectors except the traditional bulk metal sector, their systemic significance is sensitive to geopolitical shocks, especially above the 50th percentile. These results may offer effective references for financial risk management during the energy transition process.
地缘政治风险与自然资源商品市场密切而动态地相互作用,使这些市场之间的波动溢出变得复杂。本文首先在结合“先出先出”和“传递熵”方法构建的非线性因果网络中,揭示了传统能源、过渡能源、新能源金属、贵金属和传统大宗金属等能源和金属市场的整体动态信息溢出特征。然后,我们量化了该网络中每个部门的系统重要性,并进一步探讨了在2011年1月4日至2024年5月7日的样本期内,多阶时刻的意外地缘政治风险对每个部门重要性的影响。结果表明:贵金属和传统大宗金属是整个样本期内信息溢出非线性因果网络中最显著的两个行业,其次是传统能源、新能源金属和转型能源行业;从动态角度看,转型能源和新能源金属行业的重要性波动幅度大于其他行业。从地缘政治风险对各行业重要性的影响来看,与一般地缘政治风险相比,意外地缘政治风险对能源和金属市场的影响更为显著;此外,地缘政治风险均值对各部门的影响大于其高阶矩均值;除传统大宗金属行业外,所有行业的系统性重要性对地缘政治冲击都很敏感,尤其是在第50百分位以上的行业。研究结果可为能源转型过程中的金融风险管理提供有效参考。
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引用次数: 0
Supply chain digitalization, green technology innovation and corporate energy efficiency
IF 13.6 2区 经济学 Q1 ECONOMICS Pub Date : 2025-02-01 DOI: 10.1016/j.eneco.2024.108153
Zhiyi Li , Boqiang Hu , Yifei Bao , Yifei Wang
As global concerns over energy consumption and carbon emissions continue to intensify, improving energy efficiency has become a key challenge for organizations. There is an urgent need to explore new paths to improve energy efficiency. Based on the data of listed companies in China from 2013 to 2022 and using the implementation of supply chain innovation and application pilot work as a quasi-natural experiment, we use the PSM-DID model to assess the effect of supply chain digitization on corporate energy efficiency as well as the role of the potential mechanism of green technology innovation. It was found that supply chain digitization significantly promoted enterprise energy efficiency. The conclusion remains valid after robustness tests such as parallel trend tests, sensitivity tests, and placebo tests. Mechanistic analysis suggests that supply chain digitization can promote corporate energy efficiency by facilitating the quantity, quality, and innovation persistence of green technology innovations, which in turn promotes corporate energy efficiency. Heterogeneity analysis shows that the energy efficiency promotion effect of supply chain digitization is stronger for firms with lower institutional attention, larger scale, growth, and maturity. The conclusions of this paper suggest that policymakers and business managers should pay attention to the potential value of supply chain digitization in promoting corporate energy efficiency and supporting environmental sustainability, with a view to achieving both economic and environmental benefits.
{"title":"Supply chain digitalization, green technology innovation and corporate energy efficiency","authors":"Zhiyi Li ,&nbsp;Boqiang Hu ,&nbsp;Yifei Bao ,&nbsp;Yifei Wang","doi":"10.1016/j.eneco.2024.108153","DOIUrl":"10.1016/j.eneco.2024.108153","url":null,"abstract":"<div><div>As global concerns over energy consumption and carbon emissions continue to intensify, improving energy efficiency has become a key challenge for organizations. There is an urgent need to explore new paths to improve energy efficiency. Based on the data of listed companies in China from 2013 to 2022 and using the implementation of supply chain innovation and application pilot work as a quasi-natural experiment, we use the PSM-DID model to assess the effect of supply chain digitization on corporate energy efficiency as well as the role of the potential mechanism of green technology innovation. It was found that supply chain digitization significantly promoted enterprise energy efficiency. The conclusion remains valid after robustness tests such as parallel trend tests, sensitivity tests, and placebo tests. Mechanistic analysis suggests that supply chain digitization can promote corporate energy efficiency by facilitating the quantity, quality, and innovation persistence of green technology innovations, which in turn promotes corporate energy efficiency. Heterogeneity analysis shows that the energy efficiency promotion effect of supply chain digitization is stronger for firms with lower institutional attention, larger scale, growth, and maturity. The conclusions of this paper suggest that policymakers and business managers should pay attention to the potential value of supply chain digitization in promoting corporate energy efficiency and supporting environmental sustainability, with a view to achieving both economic and environmental benefits.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"142 ","pages":"Article 108153"},"PeriodicalIF":13.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145223","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
期刊
Energy Economics
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