Energy Economics最新文献_第6页

Unlocking financial inclusion through solar technology adoption in Malawi 通过在马拉维采用太阳能技术开启普惠金融

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics

Pub Date : 2026-01-09 DOI: 10.1016/j.eneco.2026.109138

Congyi Dai , Ryan McCord , Katerina B. Beach , Andrea Mahieu , Thabbie Chilongo , Charles Jumbe , Pamela Jagger

Financial inclusion and energy access are development priorities in sub-Saharan Africa (SSA), particularly in rural areas. Many households in SSA struggle to attain access to financial services including mobile money, bank accounts, and informal loans, which allow households to mitigate financial risks by relieving capital constraints and promoting investment and asset accumulation. At the same time, over 600 million people in SSA had no electricity access in 2023. Off-grid solar is considered one of the most cost-effective, feasible, and rapid solutions to provide energy access for rural households. Using data from a 1138-household two-wave quasi-experimental impact evaluation focused on solar technology adoption and impacts in rural Malawi, we explore the association between financial inclusion and solar technology adoption. We hypothesize that adoption of solar technologies catalyzes use of mobile money – a financial inclusion mechanism common throughout SSA. We find that households with solar home systems are 40 percentage points more likely to use mobile money, while those with standalone solar technologies are 32 percentage points more likely to do so. Through mediation analysis, we confirm that access to reliable phone charging is the main pathway connecting solar adoption and mobile money use. We also observe an approximately two-fold increase in participation in informal savings groups associated with solar adoption, likely through increased access to mobile money, which allows people to easily and securely pool finances. The connection between solar adoption and increased access to two key financial inclusion mechanisms suggests a win-win outcome for policymakers seeking to improve energy access and opportunities for economic growth through financial inclusion in rural Africa.

金融普惠和能源可及性是撒哈拉以南非洲（SSA），特别是农村地区的发展重点。SSA的许多家庭难以获得包括移动货币、银行账户和非正式贷款在内的金融服务，这些服务使家庭能够通过缓解资本限制和促进投资和资产积累来减轻金融风险。与此同时，到2023年，SSA有超过6亿人没有电力供应。离网太阳能被认为是为农村家庭提供能源的最具成本效益、最可行和最快速的解决方案之一。我们利用马拉维农村1138户家庭的两波准实验影响评估数据，探讨了金融普惠与太阳能技术采用之间的关系。我们假设太阳能技术的采用催化了移动货币的使用——这是整个SSA普遍存在的一种金融包容性机制。我们发现，拥有太阳能家庭系统和独立太阳能技术的家庭使用移动支付的几率分别高出40%和32%。通过中介分析，我们确认获得可靠的手机充电是连接太阳能采用和移动货币使用的主要途径。我们还观察到，与采用太阳能相关的非正式储蓄团体的参与人数增加了大约两倍，这可能是通过增加移动货币的使用，这使人们能够轻松、安全地汇集资金。采用太阳能与增加两种关键金融普惠机制之间的联系，为寻求改善非洲农村能源获取和经济增长机会的政策制定者带来了双赢的结果。

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引用次数: 0

When carbon policy meets sulfur policy: How environmental policy portfolios enhance green productivity in Chinese cities 当碳政策与硫政策相遇：环境政策组合如何提高中国城市绿色生产力

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics

Pub Date : 2026-01-09 DOI: 10.1016/j.eneco.2026.109139

Bin Tan , Ning Zhang

Focusing on the intersection of carbon and sulfur control policies in Chinese cities, the effect of coupled environmental regulations on green productivity is examined in this study. We exploit a quasi-natural experiment from 2006 to 2019, using the Low-Carbon City Pilot (LCCP) program in conjunction with sulfur dioxide (SO₂) reduction mandates. Employing the difference-in-differences (DID) technique, we discover that the LCCP program results in a 3.5% improvement in green productivity. Approximately half of this effect is attributable to the SO₂ reduction targets. These results underscore the importance of policy interaction in shaping environmental and economic outcomes. Mechanism analysis reveals heterogeneous transmission channels. The LCCP program improves green productivity primarily by reducing energy input. In contrast, SO₂ reduction targets are more effective in promoting end-of-pipe pollution control technologies. Importantly, the joint policy implementation does not hinder economic growth. Our findings contribute to the literature on environmental policy design under multi-pollutant frameworks. In the context of China's carbon neutrality agenda, they highlight the value of coordinated policy portfolios.

本文以中国城市碳硫控制政策交叉点为研究对象，考察了环境规制耦合对绿色生产力的影响。我们利用2006年至2019年的准自然实验，将低碳城市试点（LCCP）项目与二氧化硫（SO2）减排任务结合起来。采用差异中的差异（DID）技术，我们发现LCCP计划导致绿色生产力提高3.5%。大约一半的影响可归因于二氧化硫减排目标。这些结果强调了政策互动在形成环境和经济成果方面的重要性。机理分析揭示了传输通道的异质性。LCCP项目主要通过减少能源投入来提高绿色生产力。相比之下，SO2减排目标在推广管道末端污染控制技术方面更为有效。重要的是，联合政策的实施不会阻碍经济增长。我们的研究结果为多污染物框架下的环境政策设计提供了文献依据。在中国碳中和议程的背景下，它们突出了协调政策组合的价值。

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引用次数: 0

The income threshold of household carbon emissions: Nonlinear growth and decoupling challenges 家庭碳排放的收入门槛：非线性增长与脱钩挑战

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics

Pub Date : 2026-01-08 DOI: 10.1016/j.eneco.2026.109137

Yuedong Xiao , Wenling Liu , Lei Gao , Fengtai Zhang , Yulin Zhu , Xueyang Wang

Decoupling carbon emissions from economic growth is a key pathway to address climate change. However, most studies overlook the behavioral mechanisms behind the non-linear growth of household emissions and the challenges this non-linearity implies for decoupling. This study advances a consumption-transition model related to carbon emissions. The theoretical model suggests that once income exceeds a critical threshold, households shift from basic-needs spending to symbolic consumption and may imitate consumption patterns of higher-income households. This change can sharply increase demand for carbon-intensive goods and alter the decoupling status. Using China Family Panel Studies data for 2014–2022, we empirically identify an income threshold in household emissions, namely a carbon emission growth turning point (CEGTP), after which emissions rise more rapidly with income. Sensitivity analysis indicates that emission patterns remain stable within ±15% of the CEGTP, enabling robust comparison between high- and low-income households. We find that more than half of urban households have disposable income below the CEGTP, which may imply a significant risk of future emission increases. Consistent with the theoretical model, labor-dominated households exhibit a higher income elasticity of emissions than households dominated by older individuals or children, because working-age adults may be more prone and able to engage in symbolic consumption. The higher elasticity is primarily driven by discretionary spending, such as travel, rather than necessities like food, residential energy, or clothing. Thus, the key to achieving decoupling is to apply targeted policies to steer incremental consumption onto a low-carbon path.

将碳排放与经济增长脱钩是应对气候变化的关键途径。然而，大多数研究忽视了家庭排放非线性增长背后的行为机制，以及这种非线性对解耦所带来的挑战。本研究提出了一个与碳排放相关的消费转型模型。理论模型表明，一旦收入超过一个临界阈值，家庭就会从基本需求支出转向象征性消费，并可能模仿高收入家庭的消费模式。这种变化可能会大幅增加对碳密集型产品的需求，并改变脱钩状态。利用中国家庭面板研究2014-2022年的数据，我们实证地确定了家庭碳排放的收入阈值，即碳排放增长拐点（CEGTP），在此之后，碳排放随收入增长更快。敏感性分析表明，排放模式在CEGTP的±15%范围内保持稳定，从而可以对高收入和低收入家庭进行有力的比较。我们发现，超过一半的城市家庭可支配收入低于CEGTP，这可能意味着未来排放增加的风险很大。与理论模型一致，劳动力占主导地位的家庭比老年人或儿童占主导地位的家庭表现出更高的收入弹性排放，因为工作年龄的成年人可能更倾向于也更有能力从事象征性消费。较高的弹性主要是由旅游等可自由支配的支出推动的，而不是食品、住宅能源或服装等必需品。因此，实现脱钩的关键是实施有针对性的政策，引导增量消费走上低碳道路。

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引用次数: 0

How does urban agglomeration contribute to achieving carbon reduction targets? Evidence from an HSR-weighting spatial DID approach 城市群如何促进碳减排目标的实现？来自hsr加权空间DID方法的证据

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics

Pub Date : 2026-01-06 DOI: 10.1016/j.eneco.2026.109136

Ying Wang , Honghong Wei , Andreas Kontoleon

Urban agglomeration (UA), as a model of regional integration, provides a platform for advancing sustainable urban development and carbon emission reduction. Treating the urban agglomeration implementation in China as a quasi-natural experiment, we use the high-speed rail (HSR)-weighting spatial difference-in-differences (SDID) method to examine both the direct and indirect effects of UA on carbon emission reduction. Using a balanced panel data set of 195 cities from 2004 to 2019 in China, our empirical results show that UA directly impacts carbon emission abatement in core cities and indirectly affects neighboring cities through inter-city HSR connections. Furthermore, the mechanism analysis suggests that: (1) UA reduces carbon emissions by upgrading industrial structures, generating a “borrowed-size” effect that promotes structural optimization and reduces carbon emissions in neighboring cities; (2) UA reduces carbon emissions by decreasing energy intensity, but the resulting siphon effect increases energy consumption in neighboring cities; (3) UA promotes local carbon emission reduction by stimulating technological innovation and diversification agglomeration, but does not influence carbon emissions in neighboring cities through these mechanisms. These findings provide useful insights into how UA and inter-city HSR facilitate the transition towards a low-carbon society.

城市群作为区域一体化的典范，为推进城市可持续发展和碳减排提供了平台。本文将中国城市群实施作为准自然实验，采用高铁加权空间差中差（SDID）方法考察了城市群对碳减排的直接和间接影响。利用2004 - 2019年中国195个城市的均衡面板数据，我们的实证结果表明，UA直接影响核心城市的碳减排，并通过城际高铁连接间接影响周边城市的碳减排。机制分析表明：(1)UA通过产业结构升级减少碳排放，产生“借用规模”效应，促进相邻城市结构优化，降低碳排放；(2) UA通过降低能源强度来减少碳排放，但由此产生的虹吸效应增加了周边城市的能源消耗；(3) UA通过刺激技术创新和多元化集聚促进本地碳减排，但不通过这些机制影响周边城市的碳排放。这些发现为UA和城际高铁如何促进向低碳社会的过渡提供了有用的见解。

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引用次数: 0

Effects of basin ecological compensation policies in China: Insights from policy design differences 中国流域生态补偿政策的效果：来自政策设计差异的洞察

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics

Pub Date : 2026-01-05 DOI: 10.1016/j.eneco.2026.109132

Lei Zhou , Shaoxin Hong , Siyan Su

There are two types of Basin Ecological Compensation Policies (BECP) in China: a formal policy initiated by the central government in the Xin'an River Basin and an informal policy organized by local governments in the Wei River Basin. We use a difference-in-differences (DID) approach to identify and compare the effects of these two policy types. We find that the BECP in the Xin'an River Basin significantly reduces enterprises' water pollutant emissions but also decreases Total Factor Productivity (TFP), whereas the BECP in the Wei River Basin has no significant effect. In addition, enterprises in the Xin'an River Basin experience reduced output and increased investment in cleaner production practices, which serve as the main channels through which water pollutant emissions decline. We further show that the economic losses borne by upstream regions exceed the compensation they receive, indicating that the compensation funds are insufficient. Finally, heterogeneity analyses reveal that the effectiveness of the BECP depends on factors such as adjacency to provincial boundaries, river length within a county, the number of industrial enterprises, and enterprise tax levels. These findings provide useful insights for the broader application of BECPs and for negotiations over compensation funding.

中国的流域生态补偿政策主要有两种类型：一种是中央政府在新安江流域发起的正式政策，另一种是渭河流域地方政府组织的非正式政策。我们使用差异中的差异（DID）方法来识别和比较这两种策略类型的效果。研究发现，新安河流域的BECP显著降低了企业的水污染物排放，但也降低了全要素生产率（TFP），而渭河流域的BECP没有显著影响。此外，新安河流域企业在清洁生产实践方面的产出减少，投资增加，这是水污染物排放下降的主要渠道。研究进一步表明，上游地区所遭受的经济损失超过了所获得的补偿，表明补偿资金不足。最后，异质性分析表明，省际边界邻近程度、县域河流长度、工业企业数量和企业税收水平等因素对城市经济效益的影响显著。这些发现为becp的更广泛应用和赔偿资金的谈判提供了有用的见解。

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引用次数: 0

Assessing the effect of climate policy uncertainty on corporate carbon cost leadership strategy: Evidence from China 评估气候政策不确定性对企业碳成本领先战略的影响：来自中国的证据

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics

Pub Date : 2026-01-04 DOI: 10.1016/j.eneco.2025.109118

Zhongzhu Chu , Weijie Tan , Boru Ren , Zhiyi Xia

Frequent extreme climate events have heightened climate policy uncertainty (CPU) and incorporating the social cost of carbon has become a key element for countries seeking to improve their institutions in response to climate risks. Focusing on corporate efforts, this study innovatively constructs a carbon cost leadership strategy (CCLS) index for Chinese listed companies from 2010 to 2024 using a text-based machine learning approach. Drawing on institutional theory, we examine the relationship between CPU and firms' adoption of CCLS. Our findings indicate that CPU significantly inhibits the implementation of CCLS, primarily because CPU increases firms' operational risks and undermines firms' capacity to respond to climate regulations. Heterogeneity analysis reveals that this negative effect is more pronounced for state-owned enterprises, firms with low climate risk perception, those in low carbon-exposure and non-technology-intensive industries, and firms located in regions with weak public–government climate engagement. This study enriches the understanding of the social impacts of climate policy from the perspective of corporate carbon cost management and provides new insights for emerging economies to improve their social cost of carbon assessment systems and enhance firms' climate response capabilities.

频繁的极端气候事件加剧了气候政策的不确定性（CPU），纳入碳的社会成本已成为寻求改善其应对气候风险制度的国家的关键因素。本研究以企业为研究对象，采用基于文本的机器学习方法，创新性地构建了2010 - 2024年中国上市公司碳成本领先战略（CCLS）指数。利用制度理论，我们考察了中央集权与企业采用CCLS之间的关系。我们的研究结果表明，CPU显著抑制了CCLS的实施，主要是因为CPU增加了企业的运营风险，削弱了企业应对气候法规的能力。异质性分析表明，国有企业、低气候风险认知企业、低碳暴露和非技术密集型行业企业以及公共政府气候参与较弱地区的企业的负面影响更为明显。本研究从企业碳成本管理的角度丰富了对气候政策社会影响的认识，为新兴经济体完善碳社会成本评估体系、提高企业应对气候变化能力提供了新的思路。

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引用次数: 0

User-centric design for energy service apps: Integrating expectations disconfirmation and innovation theories 以用户为中心的能源服务app设计：整合期望失证与创新理论

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics

Pub Date : 2026-01-04 DOI: 10.1016/j.eneco.2026.109133

Atanu Manna , Debarun Chakraborty , Nicholas Apergis

The study extends knowledge on the determinants of user app ratings using energy service applications, namely IndianOil ONE and Hello BPCL. Therefore, applying the Expectation Disconfirmation Theory and the Diffusion of Innovation Theory, it explores how user-related variables, such as trusting expectations in the technology, intended performance, disconfirmation, and intention, as well as diffusion factors, such as relative advantage, complexity, compatibility, and observability can predict user satisfaction and rating. We applied machine learning to topic modelling and extract the topics from the Google reviews. After retrieving the topics, regression and fsQCA analyses are performed to arrive at the final findings. The results document that the app's perceived reliability, along with expectations from using it and already established behavior patterns, should be unified to retain and improve users' positive mental representation of the application. The final suggestions focus on the advantages the application should demonstrate to users, the key requirements of a properly functioning application, and simple interface navigation to gain users' trust and expectations. This provides guidelines to relevant app developers and concerned stakeholders regarding the design and interface of those apps. However, it provides further insights into energy users regarding enhancing services in the core sector.

该研究扩展了使用能源服务应用程序（即IndianOil ONE和Hello BPCL）对用户应用程序评级的决定因素的了解。因此，运用期望失确认理论和创新扩散理论，探讨用户相关变量，如对技术的信任期望、预期性能、失确认和意图，以及扩散因素，如相对优势、复杂性、兼容性和可观察性，如何预测用户满意度和评级。我们将机器学习应用于主题建模，并从谷歌评论中提取主题。在检索主题之后，进行回归和fsQCA分析以得出最终结果。结果表明，应用程序的感知可靠性，以及使用它的期望和已经建立的行为模式，应该统一起来，以保持和提高用户对应用程序的积极心理表征。最后的建议集中在应用程序应该向用户展示的优势，一个正常运行的应用程序的关键要求，以及简单的界面导航，以获得用户的信任和期望。这为相关应用程序开发人员和相关利益相关者提供了有关这些应用程序的设计和界面的指导方针。然而，它为能源用户提供了关于加强核心部门服务的进一步见解。

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引用次数: 0

The power of storytelling: How green narratives shape urban green innovation 讲故事的力量：绿色叙事如何塑造城市绿色创新

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics

Pub Date : 2026-01-03 DOI: 10.1016/j.eneco.2025.109122

Yajing Chen , Gaoxiang Xu , Yutian Shan , Yushan Wei , Saiquan Hu , Jie She

Promoting green innovation is strategically essential for sustainable development, requiring enhanced expected returns among innovation actors. As economic expectations are shaped by narratives, government-disseminated green narratives may serve as powerful policy levers for advancing green innovation. This study employs large language models and LDA topic modeling to extract green narrative-related variables from Chinese provincial Party newspapers, combining these measures with panel data from 288 Chinese cities spanning 2011–2022 to examine how green narratives influence urban green innovation and through what mechanisms. The findings reveal that green narrative exposure significantly promotes urban green innovation through two pathways: facilitating green finance development and enhancing public environmental concern. Both the economic relevance of narrative topics and the narrativity of formats positively moderate this relationship. Further analyses confirm that narrative effects extend to firm-level green innovation quality measured by patent citations. This study demonstrates narratives as effective policy instruments for green innovation, extends green narrative research from individual to regional outcomes, and provides insights for leveraging narratives to promote substantive technological progress.

促进绿色创新对可持续发展具有重要战略意义，这需要提高创新行为体的预期回报。由于经济预期是由叙事塑造的，政府传播的绿色叙事可以作为推动绿色创新的有力政策杠杆。本研究采用大型语言模型和LDA主题模型，从中国省党报中提取绿色叙事相关变量，并结合2011-2022年288个中国城市的面板数据，研究绿色叙事如何影响城市绿色创新，以及通过何种机制影响城市绿色创新。研究发现，绿色叙事曝光通过促进绿色金融发展和增强公众环境关注度两种途径显著促进城市绿色创新。叙事主题的经济相关性和格式的叙事性都对这种关系起到正向调节作用。进一步的分析证实，叙事效应延伸到企业层面的绿色创新质量衡量专利引用。本研究证明了叙事作为绿色创新的有效政策工具，将绿色叙事研究从个体结果扩展到区域结果，并为利用叙事促进实质性技术进步提供了见解。

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引用次数: 0

NIMBY-ism and green energy infrastructure: A strategic risk disclosure approach 邻避主义与绿色能源基础设施：战略风险披露方法

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics

Pub Date : 2026-01-03 DOI: 10.1016/j.eneco.2025.109116

Liukai Yu , Mark Goh , Junjun Zheng

The resistance toward green energy infrastructure (GEI) often leads to a NIMBY (Not in My BackYard) event, and this can challenge green energy development. This paper proposes an approach for alleviating NIMBYism through strategic risk information disclosure. It involves the project developer of the GEI committing ex-ante (before risk investigation) to a signaling mechanism that strategically discloses informed signals about the risk of the GEI to the local community, who may hold heterogeneous risk priors and engage in preference-driven social learning within the community. For this, a signaling mechanism based on a network persuasion model coupled with communication learning dynamics is developed. Our results suggest that resident heterogeneity converge to divergent consensus unions (subgroups), manifesting a social stratification and segregation phenomenon in NIMBYism. The optimal signaling mechanism is a tiered threshold recommendation structure, setting tailored thresholds for each community subgroup that commits to recommending acceptance when the risk level investigated does not exceed the threshold. The effectiveness of strategic disclosure is moderated by the external benefits and the prior pessimism of the community. It may underperform or even fail under low compensation and GEI's positive externality when dealing with a conservative community. Segregation among the community subgroups is not necessarily unfavorable. Additionally, we make two extension analyses on private priors of the residents and differentiated compensation for the divergent unions. These findings can inform policy on crafting strategic risk disclosure to address NIMBYism in GEIs.

对绿色能源基础设施（GEI）的抵制往往导致邻避（不在我的后院）事件，这可能会挑战绿色能源的发展。本文提出了一种通过战略风险信息披露来缓解邻避主义的方法。它涉及到GEI的项目开发者事前（在风险调查之前）承诺一个信号机制，该机制战略性地向当地社区披露有关GEI风险的知情信号，这些社区可能持有异质性风险先验，并参与社区内偏好驱动的社会学习。为此，本文提出了一种基于网络说服模型与沟通学习动力学相结合的信号机制。研究结果表明，居民异质性趋同于分歧共识联盟（亚群体），体现了邻避主义的社会分层和隔离现象。最优的信号机制是一个分层阈值推荐结构，当所调查的风险水平不超过阈值时，为每个承诺推荐接受的社区子组设置定制的阈值。战略信息披露的有效性受外部利益和事前社会悲观情绪的调节。在低薪酬和GEI的正外部性条件下，与保守群体打交道可能表现不佳甚至失败。社区子群体之间的隔离不一定是不利的。此外，我们还对居民的私人优先权和对不同联盟的差异化补偿进行了两个可拓分析。这些发现可以为制定战略风险披露政策提供信息，以解决GEIs中的邻避主义问题。

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引用次数: 0

Automated monitoring and air pollution in border regions 边境地区空气污染自动监测

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics

Pub Date : 2026-01-03 DOI: 10.1016/j.eneco.2026.109131

Xin Jin, Yang Gao

Automated monitoring provides an innovative solution to the persistent challenge of border pollution governance. Leveraging the quasi-natural experiment of China's nationwide deployment of automated air monitoring stations, this study systematically examines the impact of automated monitoring on air pollution in provincial border cities and its underlying mechanisms. Using a triple-difference model incorporating the border variable, we find that PM2.5 concentrations in border cities decreased by 2.43 % more than in non-border cities after the installation of monitoring stations, indicating that automated monitoring effectively mitigates the long-standing border effect of air pollution. The governance effect is achieved through three primary mechanisms: (1) legal-spatial expansion effect, characterized by a significant increase in environmental penalties for border firms; (2) regulatory avoidance effect, evidenced by a simultaneous reduction in the number of surviving industrial enterprises and polluting firms in border regions; (3) rent-seeking suppression effect, manifested as significantly reduced rent-seeking costs for border firms. Further analyses reveal that while automated regulation suppresses industrial activities in border regions, it generates significant fiscal revenue and health benefits, resulting in a net benefit of 50.04 billion yuan for these regions.

自动监测为边境污染治理的持续挑战提供了一种创新的解决方案。利用中国全国部署自动化空气监测站的准自然实验，本研究系统地考察了自动化监测对省际边境城市空气污染的影响及其潜在机制。通过引入边界变量的三差模型，我们发现边境城市的PM2.5浓度比非边境城市下降了2.43%，表明自动化监测有效缓解了长期存在的空气污染边界效应。治理效应主要通过三个机制实现：(1)法律空间扩张效应，其特征是对边境企业的环境处罚显著增加；(2)监管规避效应，表现为边境地区幸存的工业企业和污染企业数量同时减少；(3)寻租抑制效应，表现为边境企业寻租成本显著降低。进一步的分析表明，虽然自动化监管抑制了边境地区的工业活动，但它产生了巨大的财政收入和健康效益，为这些地区带来了500.04亿元的净效益。

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引用次数: 0