Pub Date : 2026-06-01Epub Date: 2026-02-24DOI: 10.1016/j.enpol.2026.115143
Beatriz Morgado Marcoje , Laura Schiavon , Michelle Hallack , Danielle Carusi Machado , Mariana Weiss de Abreu
This paper evaluates Brazil's Social Electricity Tariff Program and its ability to improve electricity affordability for low-income households using a sharp Regression Discontinuity Design (RDD). Using data from the 2017–2018 Family Budget Survey (IBGE, 2018), we compare households just below and just above the income eligibility cutoff to estimate the causal effect of eligibility on electricity consumption and expenditures. We find that eligible households consume on average 20 kWh less electricity per month than households just above the cutoff, consistent with under-consumption near the threshold. Eligibility also reduces monthly electricity spending by R$15.35 on average. While statistically significant, this level of relief appears too small to meaningfully ease budget constraints, potentially encouraging households to restrict electricity use to remain within more subsidized consumption brackets. The results suggest that the current benefit schedule may be insufficient to ensure adequate access to modern energy services—such as thermal comfort and information and entertainment—while maintaining payment affordability. We discuss policy adjustments to better align subsidy levels and target heterogeneous household needs, and highlight the importance of accounting for regional and seasonal variation in electricity demand.
{"title":"Impact evaluation of the social electricity tariff program in Brazil: Evidence from a regression discontinuity design","authors":"Beatriz Morgado Marcoje , Laura Schiavon , Michelle Hallack , Danielle Carusi Machado , Mariana Weiss de Abreu","doi":"10.1016/j.enpol.2026.115143","DOIUrl":"10.1016/j.enpol.2026.115143","url":null,"abstract":"<div><div>This paper evaluates Brazil's Social Electricity Tariff Program and its ability to improve electricity affordability for low-income households using a sharp Regression Discontinuity Design (RDD). Using data from the 2017–2018 Family Budget Survey (IBGE, 2018), we compare households just below and just above the income eligibility cutoff to estimate the causal effect of eligibility on electricity consumption and expenditures. We find that eligible households consume on average 20 kWh less electricity per month than households just above the cutoff, consistent with under-consumption near the threshold. Eligibility also reduces monthly electricity spending by R$15.35 on average. While statistically significant, this level of relief appears too small to meaningfully ease budget constraints, potentially encouraging households to restrict electricity use to remain within more subsidized consumption brackets. The results suggest that the current benefit schedule may be insufficient to ensure adequate access to modern energy services—such as thermal comfort and information and entertainment—while maintaining payment affordability. We discuss policy adjustments to better align subsidy levels and target heterogeneous household needs, and highlight the importance of accounting for regional and seasonal variation in electricity demand.</div></div>","PeriodicalId":11672,"journal":{"name":"Energy Policy","volume":"213 ","pages":"Article 115143"},"PeriodicalIF":9.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386828","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}
Pub Date : 2026-06-01Epub Date: 2026-03-06DOI: 10.1016/j.enpol.2026.115202
Jie Liu, Alexander Opoku, Seth Acquah Boateng, Frank Agyemang Karikari
At the cost of social equity, advanced economies often make biased climate polices that target mostly emission reduction, which cause uneven benefits and inequality. This paper bridges this gap by investigating the impact of climate policy and technological innovation on the transition into a low-carbon economy in the G7 countries. The study uses Driscoll-Kraay error and Dumitrescu-Hurlin causality tests to examine the effect of renewable energy output (REO), Energy Intensity (ENU), Internet Usage (INT), and research and development (RND) on Just Transition Index (JTI), which measures income inequality, energy poverty, and air pollution. The results reveal that REO enhances just transition performance, suggesting that climate policies through renewable energy expansion foster decarbonization and social inclusion. ENU also shows a positive effect; this suggests that improved energy access enhances living standards. INT has the largest impact, confirming the role emerging in reducing inequity. The study concludes that equitable low-carbon transition in advanced economies requires integrated strategies aligning climate policies, emerging technologies, and energy access policies to ensure that efforts towards sustainability create fairness rather than increase inequalities.
{"title":"Pathways to an equitable low-carbon future: The nexus of climate policy, emerging technologies, and just transitions","authors":"Jie Liu, Alexander Opoku, Seth Acquah Boateng, Frank Agyemang Karikari","doi":"10.1016/j.enpol.2026.115202","DOIUrl":"10.1016/j.enpol.2026.115202","url":null,"abstract":"<div><div>At the cost of social equity, advanced economies often make biased climate polices that target mostly emission reduction, which cause uneven benefits and inequality. This paper bridges this gap by investigating the impact of climate policy and technological innovation on the transition into a low-carbon economy in the G7 countries. The study uses Driscoll-Kraay error and Dumitrescu-Hurlin causality tests to examine the effect of renewable energy output (REO), Energy Intensity (ENU), Internet Usage (INT), and research and development (RND) on Just Transition Index (JTI), which measures income inequality, energy poverty, and air pollution. The results reveal that REO enhances just transition performance, suggesting that climate policies through renewable energy expansion foster decarbonization and social inclusion. ENU also shows a positive effect; this suggests that improved energy access enhances living standards. INT has the largest impact, confirming the role emerging in reducing inequity. The study concludes that equitable low-carbon transition in advanced economies requires integrated strategies aligning climate policies, emerging technologies, and energy access policies to ensure that efforts towards sustainability create fairness rather than increase inequalities.</div></div>","PeriodicalId":11672,"journal":{"name":"Energy Policy","volume":"213 ","pages":"Article 115202"},"PeriodicalIF":9.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386830","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}
Pub Date : 2026-06-01Epub Date: 2026-03-03DOI: 10.1016/j.enpol.2026.115223
Xiaohu Zhao , Yulei Xie , Zhihui Tian , Qiao Hu , Mengjie Hou , Mingyang Deng , Shaorui Dong , Yuanrui Liu
Achieving sustainable development goals requires transitioning to renewable energy, but this creates intense competition for land, a critical and finite resource. The effectiveness of climate policies under such constraints remains poorly quantified. Using Taiwan as a case study for a land-constrained economy, we developed a power sector optimization model to analyze this conflict. We find that realistic land-use constraints are sufficient to cause the failure of market-based climate policies, stalling the energy transition even under high carbon prices. Consequently, direct policy mandates to achieve a 36% renewable target, while effective, incur substantial societal costs, increasing system-wide expenses by up to 112%. The model reveals that the least-cost pathway deepens the reliance on imported natural gas for system adequacy, posing a challenge to long-term supply resilience. Our findings reveal the profound economic trade-offs inherent in sustainable development and underscore the necessity of integrating energy policy with national land-use planning.
{"title":"The sustainability trilemma of land scarcity: Quantifying the societal cost of Taiwan's energy transition","authors":"Xiaohu Zhao , Yulei Xie , Zhihui Tian , Qiao Hu , Mengjie Hou , Mingyang Deng , Shaorui Dong , Yuanrui Liu","doi":"10.1016/j.enpol.2026.115223","DOIUrl":"10.1016/j.enpol.2026.115223","url":null,"abstract":"<div><div>Achieving sustainable development goals requires transitioning to renewable energy, but this creates intense competition for land, a critical and finite resource. The effectiveness of climate policies under such constraints remains poorly quantified. Using Taiwan as a case study for a land-constrained economy, we developed a power sector optimization model to analyze this conflict. We find that realistic land-use constraints are sufficient to cause the failure of market-based climate policies, stalling the energy transition even under high carbon prices. Consequently, direct policy mandates to achieve a 36% renewable target, while effective, incur substantial societal costs, increasing system-wide expenses by up to 112%. The model reveals that the least-cost pathway deepens the reliance on imported natural gas for system adequacy, posing a challenge to long-term supply resilience. Our findings reveal the profound economic trade-offs inherent in sustainable development and underscore the necessity of integrating energy policy with national land-use planning.</div></div>","PeriodicalId":11672,"journal":{"name":"Energy Policy","volume":"213 ","pages":"Article 115223"},"PeriodicalIF":9.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386860","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}
Pub Date : 2026-06-01Epub Date: 2026-03-02DOI: 10.1016/j.enpol.2026.115218
Manlin Gong , Ruixiao Sun , Yuche Chen
This study investigates the impact of battery technology advancement, charging infrastructure development, and time-of-use (TOU) electricity pricing on vehicle adoption by 6 powertrain types in the United States through 2050. Using the Market Acceptance of Advanced Automotive Technologies (MA3T) model, we simulate 15 scenarios, examining individual cost factors and their combinations. We assess outcomes through market share, consumer surplus, and energy consumption. Results show that battery cost reductions are the strongest driver of EV adoption, increasing 2050 battery electric vehicle (BEV) share by 27 percentage points over baseline, raising annual consumer surplus by $511 per household, and reducing cumulative energy consumption by 16,610 trillion Btu. These gains are two to five times larger than those from other individual factors. Reducing home charging installation costs produces moderate impact, while TOU pricing alone yields only small gains, raising 2050 BEV market share by 1–2 percentage points. However, when cost factor improvements are combined, their effects are amplified beyond simple additivity. Pairing modest battery cost reductions with charging installation cost reductions and TOU pricing results in the largest 2050 BEV sales combined impact. The analysis demonstrates that moderate progress targeting multiple cost barriers may be more impactful than focusing on any single barrier.
{"title":"Scenario-based analysis of electric vehicle adoption in the United States: Technology, infrastructure, and electricity pricing","authors":"Manlin Gong , Ruixiao Sun , Yuche Chen","doi":"10.1016/j.enpol.2026.115218","DOIUrl":"10.1016/j.enpol.2026.115218","url":null,"abstract":"<div><div>This study investigates the impact of battery technology advancement, charging infrastructure development, and time-of-use (TOU) electricity pricing on vehicle adoption by 6 powertrain types in the United States through 2050. Using the Market Acceptance of Advanced Automotive Technologies (MA3T) model, we simulate 15 scenarios, examining individual cost factors and their combinations. We assess outcomes through market share, consumer surplus, and energy consumption. Results show that battery cost reductions are the strongest driver of EV adoption, increasing 2050 battery electric vehicle (BEV) share by 27 percentage points over baseline, raising annual consumer surplus by $511 per household, and reducing cumulative energy consumption by 16,610 trillion Btu. These gains are two to five times larger than those from other individual factors. Reducing home charging installation costs produces moderate impact, while TOU pricing alone yields only small gains, raising 2050 BEV market share by 1–2 percentage points. However, when cost factor improvements are combined, their effects are amplified beyond simple additivity. Pairing modest battery cost reductions with charging installation cost reductions and TOU pricing results in the largest 2050 BEV sales combined impact. The analysis demonstrates that moderate progress targeting multiple cost barriers may be more impactful than focusing on any single barrier.</div></div>","PeriodicalId":11672,"journal":{"name":"Energy Policy","volume":"213 ","pages":"Article 115218"},"PeriodicalIF":9.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386864","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}
Pub Date : 2026-06-01Epub Date: 2026-02-25DOI: 10.1016/j.enpol.2025.115023
Sigit Perdana , Marc Vielle
{"title":"Corrigendum to: Regional inequality of the European ETS-2 [Energy policy 208 (2026) 114891]","authors":"Sigit Perdana , Marc Vielle","doi":"10.1016/j.enpol.2025.115023","DOIUrl":"10.1016/j.enpol.2025.115023","url":null,"abstract":"","PeriodicalId":11672,"journal":{"name":"Energy Policy","volume":"213 ","pages":"Article 115023"},"PeriodicalIF":9.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386893","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}
Pub Date : 2026-06-01Epub Date: 2026-01-28DOI: 10.1016/j.seps.2026.102427
Di Su, Guogang Wang
This study addresses the need for systematic evaluation of rural industry development quality (RIDQ) in China’s rural revitalization strategy. Drawing on systems theory and value theory, we develop a conceptual framework defining RIDQ as the degree to which objective characteristics meet societal requirements, and construct a “three dimensions, seven categories, and sixteen indicators (3D7C16I)” evaluation system. Using multiple weighting methods (AHP-EWM, ridge regression, machine learning), 1967 county-level units in 2013, 2017, and 2022 are analyzed.
Findings: (1) RIDQ shows ”high in the east, low in the west” gradient with strong spatial autocorrelation. (2) Temporally, RIDQ grows rapidly first then differentiates. (3) High/low-level regions are stable, while middle-tier regions fluctuate. (4) Neighbor environments create poverty traps (low-level), gradual optimization (medium-level), or siphoning effects (high-level). These provide empirical basis for differentiated rural revitalization policies.
{"title":"The quality of rural industry development: Conceptual connotation, logical construction and measurement evaluation","authors":"Di Su, Guogang Wang","doi":"10.1016/j.seps.2026.102427","DOIUrl":"10.1016/j.seps.2026.102427","url":null,"abstract":"<div><div>This study addresses the need for systematic evaluation of rural industry development quality (RIDQ) in China’s rural revitalization strategy. Drawing on systems theory and value theory, we develop a conceptual framework defining RIDQ as the degree to which objective characteristics meet societal requirements, and construct a “three dimensions, seven categories, and sixteen indicators (3D7C16I)” evaluation system. Using multiple weighting methods (AHP-EWM, ridge regression, machine learning), 1967 county-level units in 2013, 2017, and 2022 are analyzed.</div><div>Findings: (1) RIDQ shows ”high in the east, low in the west” gradient with strong spatial autocorrelation. (2) Temporally, RIDQ grows rapidly first then differentiates. (3) High/low-level regions are stable, while middle-tier regions fluctuate. (4) Neighbor environments create poverty traps (low-level), gradual optimization (medium-level), or siphoning effects (high-level). These provide empirical basis for differentiated rural revitalization policies.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"105 ","pages":"Article 102427"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175289","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}
Agricultural carbon emission efficiency (ACEE) is crucial for advancing global carbon neutrality goals. However, existing research at the national level often overlooks the function of agricultural carbon sinks and exhibits deficiencies in analyzing the driving mechanisms of ACEE and making precise predictions. To address this, this paper constructs a more comprehensive ACEE measurement system and introduces machine learning techniques to thoroughly analyze the spatio-temporal dynamics, driving factors, and future trends of global ACEE. Firstly, by incorporating agricultural carbon sinks as an ecological output, this study develops an ACEE measurement system covering 162 countries, overcoming the limitations of previous studies that were often confined to regional levels or neglected carbon sinks. Measurements based on the global super-efficiency Epsilon-Based Measure model reveal that from 1995 to 2021, ACEE generally increased across countries, but spatial differentiation intensified, exhibiting a significant Matthew effect. Secondly, this study combines interpretable machine learning and geographically and temporally weighted regression to unveil the driving mechanisms of ACEE from socio-economic, agricultural, and climatic dimensions. Agricultural production level is the primary driver for enhancing ACEE, and economic development level also demonstrates a significant promoting role. However, rainfall intensity and agrochemical use intensity are the main inhibiting factors. Urbanization level, industrial structure, and agricultural trade openness negatively affect ACEE in most countries, while the positive effects of technological progress have been diminishing annually. Finally, to enhance prediction accuracy, this study employs an optimized backpropagation neural network model to predict ACEE for different country groups from 2025 to 2035. The ACEE gap between high- and low-level country groups is projected to further widen, and the global divergence trend will become more pronounced.
{"title":"Global agricultural carbon emission efficiency: Using machine learning techniques to reveal driving factors and forecast future trends","authors":"Wei Wang , Xiaodong Pei , Hongtao Jiang , Mumah Edwin , Yangfen Chen","doi":"10.1016/j.seps.2026.102428","DOIUrl":"10.1016/j.seps.2026.102428","url":null,"abstract":"<div><div>Agricultural carbon emission efficiency (ACEE) is crucial for advancing global carbon neutrality goals. However, existing research at the national level often overlooks the function of agricultural carbon sinks and exhibits deficiencies in analyzing the driving mechanisms of ACEE and making precise predictions. To address this, this paper constructs a more comprehensive ACEE measurement system and introduces machine learning techniques to thoroughly analyze the spatio-temporal dynamics, driving factors, and future trends of global ACEE. Firstly, by incorporating agricultural carbon sinks as an ecological output, this study develops an ACEE measurement system covering 162 countries, overcoming the limitations of previous studies that were often confined to regional levels or neglected carbon sinks. Measurements based on the global super-efficiency Epsilon-Based Measure model reveal that from 1995 to 2021, ACEE generally increased across countries, but spatial differentiation intensified, exhibiting a significant Matthew effect. Secondly, this study combines interpretable machine learning and geographically and temporally weighted regression to unveil the driving mechanisms of ACEE from socio-economic, agricultural, and climatic dimensions. Agricultural production level is the primary driver for enhancing ACEE, and economic development level also demonstrates a significant promoting role. However, rainfall intensity and agrochemical use intensity are the main inhibiting factors. Urbanization level, industrial structure, and agricultural trade openness negatively affect ACEE in most countries, while the positive effects of technological progress have been diminishing annually. Finally, to enhance prediction accuracy, this study employs an optimized backpropagation neural network model to predict ACEE for different country groups from 2025 to 2035. The ACEE gap between high- and low-level country groups is projected to further widen, and the global divergence trend will become more pronounced.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"105 ","pages":"Article 102428"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175288","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}
Pub Date : 2026-06-01Epub Date: 2026-02-09DOI: 10.1016/j.irle.2026.106323
Maxime Fajeau , Samuel Ligonnière , Alexandre Mayol
Local public investment is a key driver of infrastructure provision and long-term growth. Hence, understanding investment financing choice is paramount. Unlike central governments, most local authorities face a narrow choice between debt and tax funding, subject to fiscal rules and financial market access constraints. To analyze this choice, we transpose Williamson (1988)’s corporate finance framework, which views financing as a governance decision aimed at minimizing transaction costs rather than as market neutral or an agency conflict. In this adaptation to public finance, debt corresponds to rules-based, market governance, while tax funding represents hierarchical, discretionary governance. In stable environments, debt dominates; under instability, the ranking reverses. We test these propositions using France’s local public debt crisis that began in 2010, triggered by municipalities’ exposure to toxic structured loans. Using a panel of 35,000 municipalities (2000–2018) and a distance-based instrumental-variable strategy, we find that before the crisis, structured loans did not alter investment behavior, but after the crisis, exposed municipalities sharply curtailed investment and re-ranked their financing choices away from borrowing toward higher self-financing. These results highlight the governance nature of local financing decisions and extend Williamson’s corporate finance framework to public finance.
{"title":"Financial innovation and local governments investment","authors":"Maxime Fajeau , Samuel Ligonnière , Alexandre Mayol","doi":"10.1016/j.irle.2026.106323","DOIUrl":"10.1016/j.irle.2026.106323","url":null,"abstract":"<div><div>Local public investment is a key driver of infrastructure provision and long-term growth. Hence, understanding investment financing choice is paramount. Unlike central governments, most local authorities face a narrow choice between debt and tax funding, subject to fiscal rules and financial market access constraints. To analyze this choice, we transpose Williamson (1988)’s corporate finance framework, which views financing as a governance decision aimed at minimizing transaction costs rather than as market neutral or an agency conflict. In this adaptation to public finance, debt corresponds to rules-based, market governance, while tax funding represents hierarchical, discretionary governance. In stable environments, debt dominates; under instability, the ranking reverses. We test these propositions using France’s local public debt crisis that began in 2010, triggered by municipalities’ exposure to toxic structured loans. Using a panel of 35,000 municipalities (2000–2018) and a distance-based instrumental-variable strategy, we find that before the crisis, structured loans did not alter investment behavior, but after the crisis, exposed municipalities sharply curtailed investment and re-ranked their financing choices away from borrowing toward higher self-financing. These results highlight the governance nature of local financing decisions and extend Williamson’s corporate finance framework to public finance.</div></div>","PeriodicalId":47202,"journal":{"name":"International Review of Law and Economics","volume":"86 ","pages":"Article 106323"},"PeriodicalIF":1.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-02-07DOI: 10.1016/j.ejpoleco.2026.102814
Teresa Hailer-Röthel
This paper investigates the gendered dynamics of parliamentary interruptions in the German Bundestag across 19 legislative periods (1949–2021). Motivated by anecdotal and journalistic reports of sexist heckling, the study examines whether female politicians face more frequent interruptions and, if so, under which conditions. Using a newly constructed dyadic dataset that links over 200,000 interruptions to individual speeches, the analysis explores how gender, ideology, and institutional position shape patterns of adversarial behavior. The findings reveal that in earlier decades, female MPs were not primarily interrupted by men, while since the late 1980s such a gendered pattern has become observable. In addition, heckling of female MPs often originates from opposing ideological camps or parliamentary blocs. These results nuance existing theories of gender bias in political discourse by highlighting how ideological conflict and inter-gender competition shape communicative power in parliamentary settings.
{"title":"Decoding discourse: Gendered heckling in German Bundestag debates (1949–2021)","authors":"Teresa Hailer-Röthel","doi":"10.1016/j.ejpoleco.2026.102814","DOIUrl":"10.1016/j.ejpoleco.2026.102814","url":null,"abstract":"<div><div>This paper investigates the gendered dynamics of parliamentary interruptions in the German Bundestag across 19 legislative periods (1949–2021). Motivated by anecdotal and journalistic reports of sexist heckling, the study examines whether female politicians face more frequent interruptions and, if so, under which conditions. Using a newly constructed dyadic dataset that links over 200,000 interruptions to individual speeches, the analysis explores how gender, ideology, and institutional position shape patterns of adversarial behavior. The findings reveal that in earlier decades, female MPs were not primarily interrupted by men, while since the late 1980s such a gendered pattern has become observable. In addition, heckling of female MPs often originates from opposing ideological camps or parliamentary blocs. These results nuance existing theories of gender bias in political discourse by highlighting how ideological conflict and inter-gender competition shape communicative power in parliamentary settings.</div></div>","PeriodicalId":51439,"journal":{"name":"European Journal of Political Economy","volume":"93 ","pages":"Article 102814"},"PeriodicalIF":2.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-02-03DOI: 10.1016/j.ecolecon.2026.108944
Babette Never , Alexander Stoecker , Aime Tsinda , Eric Mujanama , Roger Mugisha
Green, circular buildings are crucial for climate change mitigation and resource efficiency, yet their employment impact in Sub-Saharan Africa remains unclear. This paper explores green job potential in Kigali, Rwanda—an urbanizing city with strong policy commitments and urgent housing needs. Employing a sequential mixed-methods design, we conducted 33 expert interviews and surveyed 546 firms across five construction value chain segments. We find that (1) many green jobs already exist, with 5.1% highly green and about 58% partly green based on practices performed; (2) green and circular practices are emerging through both policy support and grassroots innovation, (3) greening is positively, significantly correlated with employment growth for highly green firms, and (4) greening is significantly associated with improved job quality for all firms. Targeted support for firms in critical greening phases could boost job creation and quality. A mix of interventions is required to tackle cost competitiveness, skills and attitudes.
{"title":"Green jobs and green economic development in Kigali's construction value chain: Evidence from a firm survey","authors":"Babette Never , Alexander Stoecker , Aime Tsinda , Eric Mujanama , Roger Mugisha","doi":"10.1016/j.ecolecon.2026.108944","DOIUrl":"10.1016/j.ecolecon.2026.108944","url":null,"abstract":"<div><div>Green, circular buildings are crucial for climate change mitigation and resource efficiency, yet their employment impact in Sub-Saharan Africa remains unclear. This paper explores green job potential in Kigali, Rwanda—an urbanizing city with strong policy commitments and urgent housing needs. Employing a sequential mixed-methods design, we conducted 33 expert interviews and surveyed 546 firms across five construction value chain segments. We find that (1) many green jobs already exist, with 5.1% highly green and about 58% partly green based on practices performed; (2) green and circular practices are emerging through both policy support and grassroots innovation, (3) greening is positively, significantly correlated with employment growth for highly green firms, and (4) greening is significantly associated with improved job quality for all firms. Targeted support for firms in critical greening phases could boost job creation and quality. A mix of interventions is required to tackle cost competitiveness, skills and attitudes.</div></div>","PeriodicalId":51021,"journal":{"name":"Ecological Economics","volume":"244 ","pages":"Article 108944"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146102560","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}
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