Pub Date : 2026-02-03DOI: 10.1016/j.econmod.2026.107513
Quang Khai Nguyen , Dinh Long Tran
This study examines how tax structure shapes FDI attractiveness and economic growth in developing countries, focusing on two major tax types: taxes on goods and services and taxes on income, profits, and capital gains. We used panel data from 57 developing countries over the period 2000–2021 and applied the fixed-effects, quantile regression, and 3SLS models, with the method of moments quantile regression technique and PROCESS Model 4 as robustness checks. The results show that both tax types are generally associated with lower economic growth but have opposite effects on FDI attractiveness; taxes on goods and services tend to enhance FDI attractiveness, whereas taxes on income, profits, and capital gains reduce FDI attractiveness. In low-growth countries, however, both tax categories positively affect economic growth. Moreover, FDI attractiveness mediates the tax–growth relationship: income-based taxes reduce growth by discouraging FDI, while consumption-based taxes partly offset their negative growth effects by attracting FDI. Overall, the findings highlight that tax design matters as much as revenue levels for investment-led growth in developing countries.
本研究考察了税收结构如何影响发展中国家的外国直接投资吸引力和经济增长,重点关注两种主要税收类型:商品和服务税以及收入、利润和资本利得税。我们使用来自57个发展中国家2000-2021年的面板数据,应用固定效应、分位数回归和3SLS模型,并使用矩分位数回归技术和PROCESS Model 4作为稳健性检验。结果表明,两种税收类型总体上与较低的经济增长率相关,但对FDI吸引力的影响相反;对商品和服务征税往往会增强FDI的吸引力,而对收入、利润和资本利得征税会降低FDI的吸引力。然而,在低增长国家,这两种税种对经济增长都有积极影响。此外,外国直接投资吸引力调节了税收增长关系:所得税通过抑制外国直接投资而减少增长,而消费税通过吸引外国直接投资而部分抵消了其负增长效应。总体而言,研究结果强调,在发展中国家,税收设计与收入水平对投资拉动型增长同样重要。
{"title":"How tax structure shapes FDI attractiveness and economic growth in developing economies?","authors":"Quang Khai Nguyen , Dinh Long Tran","doi":"10.1016/j.econmod.2026.107513","DOIUrl":"10.1016/j.econmod.2026.107513","url":null,"abstract":"<div><div>This study examines how tax structure shapes FDI attractiveness and economic growth in developing countries, focusing on two major tax types: taxes on goods and services and taxes on income, profits, and capital gains. We used panel data from 57 developing countries over the period 2000–2021 and applied the fixed-effects, quantile regression, and 3SLS models, with the method of moments quantile regression technique and PROCESS Model 4 as robustness checks. The results show that both tax types are generally associated with lower economic growth but have opposite effects on FDI attractiveness; taxes on goods and services tend to enhance FDI attractiveness, whereas taxes on income, profits, and capital gains reduce FDI attractiveness. In low-growth countries, however, both tax categories positively affect economic growth. Moreover, FDI attractiveness mediates the tax–growth relationship: income-based taxes reduce growth by discouraging FDI, while consumption-based taxes partly offset their negative growth effects by attracting FDI. Overall, the findings highlight that tax design matters as much as revenue levels for investment-led growth in developing countries.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107513"},"PeriodicalIF":4.7,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191024","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 : 2026-02-03DOI: 10.1016/j.econmod.2026.107527
Hao Wang , Li-Jing Liu
Existing literature emphasizes low-carbon policy implementation and benefits but overlooks intensity effects and trade-offs. This study introduces a low-carbon policy intensity index, a composite indicator of stringency and prioritization, to analyze the effects of policy intensity on city-level carbon total factor productivity and identify potential trade-offs. The analysis demonstrates spatial heterogeneity in policy effectiveness, with less-developed, resource-dependent, and small cities exhibiting heightened responsiveness to rigorous measures. Key mechanisms include green technology innovation and efficiency catch-up effects. However, two trade-offs emerge: (1) innovation tends to prioritize quantity over quality; (2) industrial restructuring generates short-term economic transition pressures. Scenario analysis shows that economic structural adjustment—particularly electricity optimization can mitigate these dilemmas by sustaining growth while curbing emissions. These findings demonstrate that shifting from nominal policy adoption to structural reforms and optimized intensity is key to balancing economic and environmental goals.
{"title":"Innovation-economic trade-offs:A perspective of low-carbon policy intensity","authors":"Hao Wang , Li-Jing Liu","doi":"10.1016/j.econmod.2026.107527","DOIUrl":"10.1016/j.econmod.2026.107527","url":null,"abstract":"<div><div>Existing literature emphasizes low-carbon policy implementation and benefits but overlooks intensity effects and trade-offs. This study introduces a low-carbon policy intensity index, a composite indicator of stringency and prioritization, to analyze the effects of policy intensity on city-level carbon total factor productivity and identify potential trade-offs. The analysis demonstrates spatial heterogeneity in policy effectiveness, with less-developed, resource-dependent, and small cities exhibiting heightened responsiveness to rigorous measures. Key mechanisms include green technology innovation and efficiency catch-up effects. However, two trade-offs emerge: (1) innovation tends to prioritize quantity over quality; (2) industrial restructuring generates short-term economic transition pressures. Scenario analysis shows that economic structural adjustment—particularly electricity optimization can mitigate these dilemmas by sustaining growth while curbing emissions. These findings demonstrate that shifting from nominal policy adoption to structural reforms and optimized intensity is key to balancing economic and environmental goals.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107527"},"PeriodicalIF":4.7,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192867","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 : 2026-02-02DOI: 10.1016/j.econmod.2026.107520
Qiucen Ma , Zhiyuan Chen , Congming Ding
This study examines how China's traditional clans affect the environmental, social, and governance (ESG) performance of modern firms. Employing prefecture-level genealogical data and data on A-share listed firms from 2009 to 2022, we find that firms located in regions with strong clan influence tend to exhibit superior ESG performance, particularly in the environmental dimension. This effect is primarily driven by the cultural influence and organizational functions of clans. We also demonstrate that the influence of clans is more significant for firms and regions where formal regulatory oversight is weaker. Our research contributes to the literature by introducing an informal institutional perspective on the determinants of ESG performance.
{"title":"Traditional clans and modern corporate ESG: Evidence from China","authors":"Qiucen Ma , Zhiyuan Chen , Congming Ding","doi":"10.1016/j.econmod.2026.107520","DOIUrl":"10.1016/j.econmod.2026.107520","url":null,"abstract":"<div><div>This study examines how China's traditional clans affect the environmental, social, and governance (ESG) performance of modern firms. Employing prefecture-level genealogical data and data on A-share listed firms from 2009 to 2022, we find that firms located in regions with strong clan influence tend to exhibit superior ESG performance, particularly in the environmental dimension. This effect is primarily driven by the cultural influence and organizational functions of clans. We also demonstrate that the influence of clans is more significant for firms and regions where formal regulatory oversight is weaker. Our research contributes to the literature by introducing an informal institutional perspective on the determinants of ESG performance.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107520"},"PeriodicalIF":4.7,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191025","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 : 2026-02-01DOI: 10.1016/j.econmod.2026.107517
Qing Guo , Xiangquan Zeng , Lulu Yuan
The impact of population aging and digital transformation on the labor income share remains insufficiently understood. Prior research typically examines these forces separately, leaving uncertain how their interaction shapes factor income distribution. This study jointly investigates the effects of aging and digitalization using firm- and city-level data from China (2010–2020) combined with monthly recruitment-platform data to identify the causal impact of demographic shifts and technological change. At the firm level, population aging amplifies the labor-substituting effect of digital adoption, raising capital intensity while reducing labor income share. At the city level, aging strengthens the job-creating effects of digitalization, expanding platform jobs and self-employment that increase labor income share. By revealing these opposing mechanisms—capital substitution versus platform job creation—our findings advance understanding of how demographic and technological forces interact and suggest policies that promote retraining, inclusive digitalization, and flexible labor reforms.
{"title":"How population aging and digital transformation reshape labor income share? Mechanisms of firm-level substitution and urban job expansion","authors":"Qing Guo , Xiangquan Zeng , Lulu Yuan","doi":"10.1016/j.econmod.2026.107517","DOIUrl":"10.1016/j.econmod.2026.107517","url":null,"abstract":"<div><div>The impact of population aging and digital transformation on the labor income share remains insufficiently understood. Prior research typically examines these forces separately, leaving uncertain how their interaction shapes factor income distribution. This study jointly investigates the effects of aging and digitalization using firm- and city-level data from China (2010–2020) combined with monthly recruitment-platform data to identify the causal impact of demographic shifts and technological change. At the firm level, population aging amplifies the labor-substituting effect of digital adoption, raising capital intensity while reducing labor income share. At the city level, aging strengthens the job-creating effects of digitalization, expanding platform jobs and self-employment that increase labor income share. By revealing these opposing mechanisms—capital substitution versus platform job creation—our findings advance understanding of how demographic and technological forces interact and suggest policies that promote retraining, inclusive digitalization, and flexible labor reforms.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107517"},"PeriodicalIF":4.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192872","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 : 2026-01-31DOI: 10.1016/j.econmod.2026.107514
Chengming Huang , Sultan Sikandar Mirza , Chengwei Zhang
This study examines how firms respond to shifts in economic policy uncertainty (EPU) by analyzing its impact on firm resilience. Using data from 2660 Chinese A-share listed firms from 2010 to 2022, we find that higher firm-perceived policy uncertainty (FEPU) significantly weakens firm resilience. Drawing on real options and growth options perspectives, the results show that firms become less adaptable when uncertainty leads managers to behave more cautiously and when operational decisions—such as cash reserves and R&D spending—are distorted. Social media pressure, however, softens this negative effect by encouraging greater transparency and discipline. The findings also reveal substantial differences across ownership types, financial conditions, and industry characteristics. The study provides practical insights for managers and policymakers seeking to strengthen organizational resilience in uncertain environments and highlights the need to design governance and communication strategies that help firms remain adaptive when policy risks rise.
{"title":"How perceived uncertainty shapes corporate resilience: Evidence from China","authors":"Chengming Huang , Sultan Sikandar Mirza , Chengwei Zhang","doi":"10.1016/j.econmod.2026.107514","DOIUrl":"10.1016/j.econmod.2026.107514","url":null,"abstract":"<div><div>This study examines how firms respond to shifts in economic policy uncertainty (EPU) by analyzing its impact on firm resilience. Using data from 2660 Chinese A-share listed firms from 2010 to 2022, we find that higher firm-perceived policy uncertainty (FEPU) significantly weakens firm resilience. Drawing on real options and growth options perspectives, the results show that firms become less adaptable when uncertainty leads managers to behave more cautiously and when operational decisions—such as cash reserves and R&D spending—are distorted. Social media pressure, however, softens this negative effect by encouraging greater transparency and discipline. The findings also reveal substantial differences across ownership types, financial conditions, and industry characteristics. The study provides practical insights for managers and policymakers seeking to strengthen organizational resilience in uncertain environments and highlights the need to design governance and communication strategies that help firms remain adaptive when policy risks rise.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107514"},"PeriodicalIF":4.7,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191043","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 : 2026-01-30DOI: 10.1016/j.econmod.2026.107512
Xihao Wu, Di Zhang, Yani Sun
The U.S.–China trade war has significantly impacted global economic relations, yet its spillover effects on non-targeted firms remain underexplored. Using U.S. sanctions since 2018 as an exogenous shock, this study investigates the spillover effects on Chinese peer firms. Results show that these sanctions reduced the average net profit margin of Chinese peer firms by 3.69 %, with stronger spillovers in sectors more connected to U.S. businesses, those exporting more to TTIP countries before the trade war, and those facing heavier sanctions. Additionally, peer firms cut investment by 0.64%, increased layoffs by 8.36%, and raised R&D spending by 41.42%. These findings deepen our understanding of trade war spillovers and offer guidance for designing resilient trade policies in an uncertain global environment.
{"title":"The collateral damage of U.S. sanctions: Evidence from Chinese peer firms during the trade war","authors":"Xihao Wu, Di Zhang, Yani Sun","doi":"10.1016/j.econmod.2026.107512","DOIUrl":"10.1016/j.econmod.2026.107512","url":null,"abstract":"<div><div>The U.S.–China trade war has significantly impacted global economic relations, yet its spillover effects on non-targeted firms remain underexplored. Using U.S. sanctions since 2018 as an exogenous shock, this study investigates the spillover effects on Chinese peer firms. Results show that these sanctions reduced the average net profit margin of Chinese peer firms by 3.69 %, with stronger spillovers in sectors more connected to U.S. businesses, those exporting more to TTIP countries before the trade war, and those facing heavier sanctions. Additionally, peer firms cut investment by 0.64%, increased layoffs by 8.36%, and raised R&D spending by 41.42%. These findings deepen our understanding of trade war spillovers and offer guidance for designing resilient trade policies in an uncertain global environment.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107512"},"PeriodicalIF":4.7,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191047","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 : 2026-01-30DOI: 10.1016/j.econmod.2026.107495
Guilherme Spinato Morlin , Marco Stamegna , David Cano Ortiz , Simone D’Alessandro , Pietro Guarnieri
Income inequality in labor markets arises from both inadequate pay at the bottom and excessive remuneration at the top of the wage distribution. Statutory minimum wages have proven effective in addressing low wages and in-work poverty, yet many countries have not fully implemented them. Conversely, salary caps have received relatively little attention as instruments to limit top incomes. This paper examines the effects of introducing both minimum and maximum wages in Italy using Eurogreen, a macro-simulation model that integrates a dynamic input–output framework with labor market heterogeneity. Our findings indicate that the joint implementation of these policies substantially reduces labor market inequalities without compromising overall economic performance. Minimum wages help mitigate disparities across skill levels, occupational groups, and industrial sectors, while maximum wages are particularly effective in narrowing the gender pay gap. These results suggest that well-designed wage policies can serve as powerful tools for fostering more inclusive and equitable labor markets.
{"title":"Tackling labor market inequalities through minimum and maximum wages","authors":"Guilherme Spinato Morlin , Marco Stamegna , David Cano Ortiz , Simone D’Alessandro , Pietro Guarnieri","doi":"10.1016/j.econmod.2026.107495","DOIUrl":"10.1016/j.econmod.2026.107495","url":null,"abstract":"<div><div>Income inequality in labor markets arises from both inadequate pay at the bottom and excessive remuneration at the top of the wage distribution. Statutory minimum wages have proven effective in addressing low wages and in-work poverty, yet many countries have not fully implemented them. Conversely, salary caps have received relatively little attention as instruments to limit top incomes. This paper examines the effects of introducing both minimum and maximum wages in Italy using Eurogreen, a macro-simulation model that integrates a dynamic input–output framework with labor market heterogeneity. Our findings indicate that the joint implementation of these policies substantially reduces labor market inequalities without compromising overall economic performance. Minimum wages help mitigate disparities across skill levels, occupational groups, and industrial sectors, while maximum wages are particularly effective in narrowing the gender pay gap. These results suggest that well-designed wage policies can serve as powerful tools for fostering more inclusive and equitable labor markets.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107495"},"PeriodicalIF":4.7,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190584","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 : 2026-01-30DOI: 10.1016/j.econmod.2026.107511
Askar Mukashov , Sherman Robinson , Channing Arndt , James Thurlow , Tim Thomas
This paper presents a systematic risk profiling (SRP) framework to identify the most critical economic risks facing developing countries. Integrating computable general equilibrium (CGE) models with historical shock data and machine-learning tools, we examine how compound shocks affect development outcomes. We apply this method to Kenya, Rwanda, and Malawi, simulating thousands of plausible combinations of world price, capital flow, and productivity exogenous shocks and their impacts on countries' GDP, household consumption, poverty, and undernourishment. The results reveal distinct risk profiles driven by structural differences: Kenya's primary vulnerability is the volatility in global beverage crop prices, whereas Rwanda and Malawi face the highest risks from domestic root crop and cereal yields, respectively. These findings underscore that vulnerability is not just a function of shock magnitude, but of the specific structure of each economy. Specifically, the high economic volatility in Malawi and Rwanda is driven by the larger role of subsistence agriculture and more volatile domestic yields, whereas Kenya's agricultural sector is more export-oriented. Unlike standard ad hoc scenario analysis, SRP quantifies both the likelihood of compound events and the relative importance of their drivers. This transparent, scalable framework provides policymakers a new tool to move beyond reactive measures and design targeted, country-specific resilience strategies for an increasingly volatile world.
{"title":"Systematic risk profiling: Assessing compounding economic risks in developing countries","authors":"Askar Mukashov , Sherman Robinson , Channing Arndt , James Thurlow , Tim Thomas","doi":"10.1016/j.econmod.2026.107511","DOIUrl":"10.1016/j.econmod.2026.107511","url":null,"abstract":"<div><div>This paper presents a systematic risk profiling (SRP) framework to identify the most critical economic risks facing developing countries. Integrating computable general equilibrium (CGE) models with historical shock data and machine-learning tools, we examine how compound shocks affect development outcomes. We apply this method to Kenya, Rwanda, and Malawi, simulating thousands of plausible combinations of world price, capital flow, and productivity exogenous shocks and their impacts on countries' GDP, household consumption, poverty, and undernourishment. The results reveal distinct risk profiles driven by structural differences: Kenya's primary vulnerability is the volatility in global beverage crop prices, whereas Rwanda and Malawi face the highest risks from domestic root crop and cereal yields, respectively. These findings underscore that vulnerability is not just a function of shock magnitude, but of the specific structure of each economy. Specifically, the high economic volatility in Malawi and Rwanda is driven by the larger role of subsistence agriculture and more volatile domestic yields, whereas Kenya's agricultural sector is more export-oriented. Unlike standard ad hoc scenario analysis, SRP quantifies both the likelihood of compound events and the relative importance of their drivers. This transparent, scalable framework provides policymakers a new tool to move beyond reactive measures and design targeted, country-specific resilience strategies for an increasingly volatile world.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107511"},"PeriodicalIF":4.7,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191049","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 : 2026-01-29DOI: 10.1016/j.econmod.2026.107503
Yunshi Cao , Yanzhen Wang , Chang Hong , Shengbao Ji
Through policy innovation, digital empowerment, and business environment optimization, the cross-border e-commerce comprehensive pilot area (CECPA) policy plays a crucial role in improving foreign direct investment (FDI) quality. However, empirical evidence on its effects and underlying mechanisms remains limited. Using 2009–2021 panel data for 257 Chinese cities, this study applies a multiperiod difference-in-differences model to assess the CECPA policy's impact on FDI quality. The results show that the policy significantly enhances FDI quality, and the findings remain robust across tests. Mechanism analysis indicates that CECPA improves FDI quality by strengthening digital industry agglomeration, technological innovation, and value-added tax reduction. Heterogeneity tests reveal stronger effects in non-core and non-resource-based cities, as well as in cities with higher human capital and more advanced digital infrastructure. Additional analysis shows that the CECPA policy contributes to economic growth by improving FDI quality. Overall, this study offers practical insights for regions seeking to leverage the CECPA policy to enhance FDI quality and stimulate economic development.
{"title":"Can the cross-border e-commerce comprehensive pilot area policy improve China's FDI quality?","authors":"Yunshi Cao , Yanzhen Wang , Chang Hong , Shengbao Ji","doi":"10.1016/j.econmod.2026.107503","DOIUrl":"10.1016/j.econmod.2026.107503","url":null,"abstract":"<div><div>Through policy innovation, digital empowerment, and business environment optimization, the cross-border e-commerce comprehensive pilot area (CECPA) policy plays a crucial role in improving foreign direct investment (FDI) quality. However, empirical evidence on its effects and underlying mechanisms remains limited. Using 2009–2021 panel data for 257 Chinese cities, this study applies a multiperiod difference-in-differences model to assess the CECPA policy's impact on FDI quality. The results show that the policy significantly enhances FDI quality, and the findings remain robust across tests. Mechanism analysis indicates that CECPA improves FDI quality by strengthening digital industry agglomeration, technological innovation, and value-added tax reduction. Heterogeneity tests reveal stronger effects in non-core and non-resource-based cities, as well as in cities with higher human capital and more advanced digital infrastructure. Additional analysis shows that the CECPA policy contributes to economic growth by improving FDI quality. Overall, this study offers practical insights for regions seeking to leverage the CECPA policy to enhance FDI quality and stimulate economic development.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"157 ","pages":"Article 107503"},"PeriodicalIF":4.7,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146191044","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 : 2026-01-29DOI: 10.1016/j.econmod.2026.107484
Alessio Terzi , Marco Pasquale Marrazzo
Following a series of disappointing outcomes in Latin America and Sub-Saharan Africa, traditional structural reform shocks, of the type advocated under the ‘Washington Consensus’, came to be widely viewed as unsuccessful. This paper revisits that conclusion by applying a novel generalised use of the non-parametric Synthetic Control Method with multiple treated units to estimate the impact of 23 policy reform shocks (spanning both real and financial sector measures) implemented globally between 1961 and 2000. Our results suggest that, notwithstanding a muted short-term impact, wide-reaching reforms on average raised GDP per capita by around 6 percentage points over a decade. These findings are robust across alternative specifications, placebo and falsification tests, and different reform indicators. While outcomes were heterogeneous, the results indicate that broad liberalising reforms have more often than not delivered medium-term growth improvements, underscoring the importance of understanding the conditions under which they succeed.
{"title":"Big reforms, big returns? Evidence from structural reform shocks","authors":"Alessio Terzi , Marco Pasquale Marrazzo","doi":"10.1016/j.econmod.2026.107484","DOIUrl":"10.1016/j.econmod.2026.107484","url":null,"abstract":"<div><div>Following a series of disappointing outcomes in Latin America and Sub-Saharan Africa, traditional structural reform shocks, of the type advocated under the ‘Washington Consensus’, came to be widely viewed as unsuccessful. This paper revisits that conclusion by applying a novel generalised use of the non-parametric Synthetic Control Method with multiple treated units to estimate the impact of 23 policy reform shocks (spanning both real and financial sector measures) implemented globally between 1961 and 2000. Our results suggest that, notwithstanding a muted short-term impact, wide-reaching reforms on average raised GDP per capita by around 6 percentage points over a decade. These findings are robust across alternative specifications, placebo and falsification tests, and different reform indicators. While outcomes were heterogeneous, the results indicate that broad liberalising reforms have more often than not delivered medium-term growth improvements, underscoring the importance of understanding the conditions under which they succeed.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"158 ","pages":"Article 107484"},"PeriodicalIF":4.7,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192865","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}