{"title":"Climate shocks, coping strategies, and household resilience: Evidence from a three-wave panel in Malawi","authors":"Suyeon Ro, Jongwook Lee","doi":"10.1111/coep.70033","DOIUrl":"https://doi.org/10.1111/coep.70033","url":null,"abstract":"<p>Climate shocks threaten rural livelihoods in Malawi, yet households adopt diverse coping strategies to mitigate welfare losses. Using three-wave Living Standards Measurement Study–Integrated Surveys on Agriculture panel data (2013–2019) and household fixed-effects models, this study examines how climate shocks affect food security and expenditure-based resilience and evaluates the moderating roles of coping strategies. Climate shocks significantly increase distress coping and reduce household consumption by approximately 4%–13% of mean annual expenditure. Savings and Social Safety Nets buffer these effects by stabilizing consumption, while credit provides only limited protection. These findings underscore the importance of integrating financial inclusion and social protection to strengthen resilience to climate risks.</p>","PeriodicalId":47364,"journal":{"name":"Contemporary Economic Policy","volume":"44 4","pages":"884-905"},"PeriodicalIF":1.0,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coep.70033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange","authors":"Sungju Yang, Hunyeong Kwon","doi":"10.1111/ajfs.70045","DOIUrl":"https://doi.org/10.1111/ajfs.70045","url":null,"abstract":"<p>This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real-time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time-series features. XGBoost, LightGBM, and CatBoost are compared, with SHAP applied for model interpretability. Results show that sharp price drops, repeated risk-topic exposure, and Reddit responses strongly predict delisting. XGBoost achieves the best performance, offering practical insights for early warning systems and investor protection.</p>","PeriodicalId":8570,"journal":{"name":"Asia-Pacific Journal of Financial Studies","volume":"55 5","pages":"635-670"},"PeriodicalIF":1.4,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ajfs.70045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149176919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Temporal Duality of Insider Share Pledging: Short-Term Incentives and Long-Term Discipline in Korean Firms*","authors":"Sojeong Ahn, Jiyoon Lee, Hyun-Han Shin","doi":"10.1111/ajfs.70038","DOIUrl":"https://doi.org/10.1111/ajfs.70038","url":null,"abstract":"<p>This study analyzes the temporal duality of insider share pledging in Korea using a regulation-based definition of insiders. We show that short-term pledging firms exhibit superior performance, higher value, and lower volatility, coincident with upward earnings management for price support. In the long term, enhanced external monitoring disciplines this opportunism, reducing earnings management and volatility. Consequently, pledging functions as a dynamic process—evolving from a short-term incentive mechanism into a long-term disciplinary force—rather than a static tool, highlighting the importance of considering time-varying effects when evaluating the governance implications of pledging.</p>","PeriodicalId":8570,"journal":{"name":"Asia-Pacific Journal of Financial Studies","volume":"55 5","pages":"536-561"},"PeriodicalIF":1.4,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data Assets Textual Information Disclosure and Bond Credit Spreads: Evidence from China*","authors":"Huaili Lyu, Qianqian Qiu, Jiayuan Li, Ziqiao Yan","doi":"10.1111/ajfs.70042","DOIUrl":"https://doi.org/10.1111/ajfs.70042","url":null,"abstract":"<p>Based on the data information disclosure practices in recent years, data assets emerged as a critical economic resource in China. This study employs textual analysis of bond prospectuses to develop a measure for data assets disclosure and investigates its influence on bond pricing. Empirical results demonstrate data assets disclosure significantly reduces bond credit spreads. Mechanism tests confirm that corporate data assets disclosure reduces bond credit spreads by mitigating information asymmetry. Further analysis shows that the effect of transactional data assets is significantly stronger than that of operational data assets. Text readability analysis reveals that poor text readability weakens the mitigating effect of data assets disclosure on credit spreads. The initial disclosure of data assets led to a greater reduction in credit spreads than that of time series variation. This study advances the credit spreads literature by quantifying the informational value of data assets in bond markets.</p>","PeriodicalId":8570,"journal":{"name":"Asia-Pacific Journal of Financial Studies","volume":"55 5","pages":"562-590"},"PeriodicalIF":1.4,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Reza Houston, Stephen P. Ferris, José Antonio Pérez-Amuedo
{"title":"All politics is local: Corporate political power and the award of federal contracts","authors":"Reza Houston, Stephen P. Ferris, José Antonio Pérez-Amuedo","doi":"10.1111/coep.70032","DOIUrl":"https://doi.org/10.1111/coep.70032","url":null,"abstract":"<p>Political power in political economy lacks standardized metrics. This study introduces a measurement method combining individual legislators' power with firms' political contributions. This corporate political power measure explains federal contracting success. Results show local politicians representing firms' operational areas provide greater contracting benefits than powerful national politicians. Federal representatives support local firms to boost constituent employment and re-election prospects. Additionally, firms strategically reallocate contributions toward more electable politicians when experiencing political power decline, demonstrating adaptive behavior in maintaining influence.</p>","PeriodicalId":47364,"journal":{"name":"Contemporary Economic Policy","volume":"44 4","pages":"906-950"},"PeriodicalIF":1.0,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fang-I Wen, Chris Y. Tung, Chun-Chieh Wang, Shu-Ting Yang
{"title":"How to collect unpaid taxes? A system of a non-discriminatory sentence in Taiwan","authors":"Fang-I Wen, Chris Y. Tung, Chun-Chieh Wang, Shu-Ting Yang","doi":"10.1111/coep.70040","DOIUrl":"https://doi.org/10.1111/coep.70040","url":null,"abstract":"<p>Incarceration for tax debt enforcement may be utilized, although it is often deemed overly harsh by the public. Identifying factors that lower social and economic costs of this policy could improve its overall acceptability. Analyzing Taiwanese cases (2001–2016) with uniform 3-month sentences reveals that repayment occurs mostly early during incarceration. Repayment rates are lower for those with large unpaid taxes but higher for obligors with third-party guarantors, installment plans, or real estate ownership. Juridical and older obligors generally repay more, whereas gender and travel restrictions have no significant impact. The findings may help shape a more effective system.</p>","PeriodicalId":47364,"journal":{"name":"Contemporary Economic Policy","volume":"44 4","pages":"822-844"},"PeriodicalIF":1.0,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Changes in inter-provincial risk sharing during the COVID-19 pandemic in China","authors":"Makram El-Shagi, Kiril Tochkov","doi":"10.1111/coep.70039","DOIUrl":"https://doi.org/10.1111/coep.70039","url":null,"abstract":"<p>The stringent measures imposed by the Chinese government to deal with COVID restricted labor mobility across the country, impairing the major mechanism for consumption smoothing in China. This paper explores the composition of risk sharing between Chinese provinces before and during the pandemic. Our results indicate that the share of income shocks smoothed by the factor market exhibits a drastic drop, illustrating the adverse effects of lockdowns and other barriers to labor mobility. By contrast, risk sharing via fiscal mechanisms becomes much more prominent but around 37% of income shocks during the pandemic remain unsmoothed.</p>","PeriodicalId":47364,"journal":{"name":"Contemporary Economic Policy","volume":"44 4","pages":"974-980"},"PeriodicalIF":1.0,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Firms' GitHub Copilot adoption and labor market outcomes for software engineers","authors":"Matthew Baird, Mar Carpanelli, Brian Xu, Kevin Xu","doi":"10.1111/coep.70035","DOIUrl":"https://doi.org/10.1111/coep.70035","url":null,"abstract":"<p>Using LinkedIn and GitHub data, this paper examines how firms' adoption of GitHub Copilot (GHC), a generative AI coding assistant, relates to software engineer (SWE) skills and labor outcomes. GHC adoption is associated with around a 3%–5% higher monthly probability of hiring SWEs, driven by entry-level hires. New hires exhibit around 5% more non-programming skills, with no decrease in coding skills. These findings are consistent with, for SWEs, GAI's productivity impacts and creation of new tasks outweighing potential displacement effects from automation of some SWE tasks.</p>","PeriodicalId":47364,"journal":{"name":"Contemporary Economic Policy","volume":"44 4","pages":"767-788"},"PeriodicalIF":1.0,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Budding enrollment: The impact of cannabis policy on US colleges and universities","authors":"Joshua H. Hess, Danna Thomas","doi":"10.1111/coep.70029","DOIUrl":"https://doi.org/10.1111/coep.70029","url":null,"abstract":"<p>We examine how liberalized recreational marijuana laws have affected freshmen enrollment and science, technology, engineering, and math (STEM) major choice using difference-in-differences and event study models. Estimates indicate near-zero initial enrollment growth as schools substituted between in-state and out-of-state students. However, total enrollment increased in later periods as out-of-state gains persisted and in-state enrollment returned to its baseline. We find little evidence of an adverse effect on total freshmen STEM major enrollment.</p>","PeriodicalId":47364,"journal":{"name":"Contemporary Economic Policy","volume":"44 4","pages":"740-766"},"PeriodicalIF":1.0,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coep.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}