Pub Date : 2026-01-11DOI: 10.1016/j.asieco.2026.102127
Xiang Deng , Hongming Zhang , Yiling Gao , Chunlin Wan
Using data from the 2018 Chinese Household Income Project, this study evaluates the impact of China's Modern Distance Education Project for Rural Primary and Secondary Schools (MDEP) on urban-rural education gap by employing a cohort-based DID for cross-sectional data approach. The results demonstrate that the MDEP significantly narrowed the education gap, with particularly strong effects observed among rural female students and children from lower-income households. In terms of the mechanism of action, the digitization of education through three paths: improving learning conditions, improving academic performance, and expanding knowledge horizons. Our analysis further reveals that the MDEP contributes to raising income floors for rural households. Crucially, the MDEP effectiveness in boosting incomes depends on beneficiaries' capacity to translate their enhanced educational human capital into tangible economic gains. This study provides robust empirical evidence evaluating how digital education initiatives reduce urban-rural education gap, demonstrating that targeted technological interventions can effectively bridge equity gaps in compulsory education systems.
{"title":"Digitization of education and the urban-rural education gap: Evidence from the Chinese household income project data","authors":"Xiang Deng , Hongming Zhang , Yiling Gao , Chunlin Wan","doi":"10.1016/j.asieco.2026.102127","DOIUrl":"10.1016/j.asieco.2026.102127","url":null,"abstract":"<div><div>Using data from the 2018 Chinese Household Income Project, this study evaluates the impact of China's Modern Distance Education Project for Rural Primary and Secondary Schools (MDEP) on urban-rural education gap by employing a cohort-based DID for cross-sectional data approach. The results demonstrate that the MDEP significantly narrowed the education gap, with particularly strong effects observed among rural female students and children from lower-income households. In terms of the mechanism of action, the digitization of education through three paths: improving learning conditions, improving academic performance, and expanding knowledge horizons. Our analysis further reveals that the MDEP contributes to raising income floors for rural households. Crucially, the MDEP effectiveness in boosting incomes depends on beneficiaries' capacity to translate their enhanced educational human capital into tangible economic gains. This study provides robust empirical evidence evaluating how digital education initiatives reduce urban-rural education gap, demonstrating that targeted technological interventions can effectively bridge equity gaps in compulsory education systems.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"103 ","pages":"Article 102127"},"PeriodicalIF":3.4,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980350","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}
This study analyses the impact of global monetary policy on Fiji’s macroeconomic dynamics by focusing on cross border flows, exchange rate, output and interest rate. We used the structural vector autoregressive (SVAR) model and quarterly data from 2003 to 2024 to identify the spillover channels of international monetary policy. Our findings suggest that Fiji’s macroeconomic variables are strongly influenced by global monetary policy proxied by US monetary policy. Specifically, an increase in the Federal Fund Rate is associated with a decline in cross-border claims and simultaneous rise in cross-border liabilities of Fiji. The impacts are primarily operated through the exchange rate channel, where exchange rate management leads to fluctuations in cross-border flows. These results highlight Fiji's vulnerability to external shocks and its policy trade-offs in a globally integrated environment.
{"title":"Global monetary policy spillovers and cross-border credit in a small open economy: Evidence from Fiji","authors":"Ameen Omar Shareef , K.P. Prabheesh , Disusu Delana , Jacinta Hesaie","doi":"10.1016/j.asieco.2026.102124","DOIUrl":"10.1016/j.asieco.2026.102124","url":null,"abstract":"<div><div>This study analyses the impact of global monetary policy on Fiji’s macroeconomic dynamics by focusing on cross border flows, exchange rate, output and interest rate. We used the structural vector autoregressive (SVAR) model and quarterly data from 2003 to 2024 to identify the spillover channels of international monetary policy. Our findings suggest that Fiji’s macroeconomic variables are strongly influenced by global monetary policy proxied by US monetary policy. Specifically, an increase in the Federal Fund Rate is associated with a decline in cross-border claims and simultaneous rise in cross-border liabilities of Fiji. The impacts are primarily operated through the exchange rate channel, where exchange rate management leads to fluctuations in cross-border flows. These results highlight Fiji's vulnerability to external shocks and its policy trade-offs in a globally integrated environment.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"103 ","pages":"Article 102124"},"PeriodicalIF":3.4,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980352","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 : 2026-01-09DOI: 10.1016/j.asieco.2026.102125
Ge Tian , Zi Yang , Xun Zhang
This paper examines how large-scale digital infrastructure affects children’s cognitive ability and exacerbates cognitive disparities among them. Leveraging the rollout of the “Broadband China” initiative, we construct an intensity difference-in-differences (DID) model and utilize panel data from the China Family Panel Studies (CFPS). Our results show that the expansion of digital infrastructure significantly impairs children’s cognitive development, with the adverse effects disproportionately concentrated among rural, especially left-behind children. Mechanism analysis reveals that digital infrastructure weakens the income channel for left-behind children, as it does not lead to significantly higher earnings for their migrant parents compared to non-left-behind counterparts, and any income gains are less likely to be invested in education. It also distorts the knowledge acquisition channel, as left-behind children—due to reduced educational expectations—are less likely to leverage digital resources for learning. Furthermore, the entertainment channel is intensified by limited parental supervision, making left-behind children more vulnerable to excessive online entertainment. We further explore policy interventions that may mitigate these negative impacts. Our findings suggest that digital infrastructure, in the absence of complementary safeguards, can reinforce existing inequalities—highlighting the need for targeted support policies in the digital era
{"title":"Digital infrastructure and cognitive gap among children: Evidence from China","authors":"Ge Tian , Zi Yang , Xun Zhang","doi":"10.1016/j.asieco.2026.102125","DOIUrl":"10.1016/j.asieco.2026.102125","url":null,"abstract":"<div><div>This paper examines how large-scale digital infrastructure affects children’s cognitive ability and exacerbates cognitive disparities among them. Leveraging the rollout of the “Broadband China” initiative, we construct an intensity difference-in-differences (DID) model and utilize panel data from the China Family Panel Studies (CFPS). Our results show that the expansion of digital infrastructure significantly impairs children’s cognitive development, with the adverse effects disproportionately concentrated among rural, especially left-behind children. Mechanism analysis reveals that digital infrastructure weakens the income channel for left-behind children, as it does not lead to significantly higher earnings for their migrant parents compared to non-left-behind counterparts, and any income gains are less likely to be invested in education. It also distorts the knowledge acquisition channel, as left-behind children—due to reduced educational expectations—are less likely to leverage digital resources for learning. Furthermore, the entertainment channel is intensified by limited parental supervision, making left-behind children more vulnerable to excessive online entertainment. We further explore policy interventions that may mitigate these negative impacts. Our findings suggest that digital infrastructure, in the absence of complementary safeguards, can reinforce existing inequalities—highlighting the need for targeted support policies in the digital era</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"103 ","pages":"Article 102125"},"PeriodicalIF":3.4,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929247","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 : 2026-01-09DOI: 10.1016/j.asieco.2026.102123
Shuyuan Qin , Yongqiu Wu
In the ever-changing macroeconomic environment, economic policy uncertainty has emerged as a crucial external factor influencing individual job-hopping behavior. Using data from the 2014–2020 China Family Panel Studies (CFPS), listed resume data, company hiring data, and multidimensional economic policy uncertainty indicators, we find that economic policy uncertainty significantly reduces job-hopping frequency among workers. When economic policy uncertainty increases by 1 standard deviation, the frequency of job hopping among workers decreases by 0.15 standard deviations. Sensitivity analysis, instrumental variables approach, and a series of robustness tests confirm the reliability of the estimation results. Heterogeneity analysis reveals that economic policy uncertainty reduces the job-hopping frequency of private enterprise employees, moderately educated workers, technical professionals, and production workers. Mechanism tests indicate that economic policy uncertainty primarily inhibits job hopping by increasing individual risk expectations and reducing firms’ hiring and layoff activities. Economic policy uncertainty decreases both the active job-hopping behavior of workers looking for new employment opportunities and the passive job-hopping behavior due to layoffs and other factors, further validating the mechanism of its influence. Finally, from both subjective and objective perspectives, we find that economic policy uncertainty reduces workers’ job match quality by suppressing their job-hopping behavior.
{"title":"Economic policy uncertainty, individual job hopping, and job match","authors":"Shuyuan Qin , Yongqiu Wu","doi":"10.1016/j.asieco.2026.102123","DOIUrl":"10.1016/j.asieco.2026.102123","url":null,"abstract":"<div><div>In the ever-changing macroeconomic environment, economic policy uncertainty has emerged as a crucial external factor influencing individual job-hopping behavior. Using data from the 2014–2020 China Family Panel Studies (CFPS), listed resume data, company hiring data, and multidimensional economic policy uncertainty indicators, we find that economic policy uncertainty significantly reduces job-hopping frequency among workers. When economic policy uncertainty increases by 1 standard deviation, the frequency of job hopping among workers decreases by 0.15 standard deviations. Sensitivity analysis, instrumental variables approach, and a series of robustness tests confirm the reliability of the estimation results. Heterogeneity analysis reveals that economic policy uncertainty reduces the job-hopping frequency of private enterprise employees, moderately educated workers, technical professionals, and production workers. Mechanism tests indicate that economic policy uncertainty primarily inhibits job hopping by increasing individual risk expectations and reducing firms’ hiring and layoff activities. Economic policy uncertainty decreases both the active job-hopping behavior of workers looking for new employment opportunities and the passive job-hopping behavior due to layoffs and other factors, further validating the mechanism of its influence. Finally, from both subjective and objective perspectives, we find that economic policy uncertainty reduces workers’ job match quality by suppressing their job-hopping behavior.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"103 ","pages":"Article 102123"},"PeriodicalIF":3.4,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980351","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 : 2026-01-05DOI: 10.1016/j.asieco.2025.102108
Wajid Ali , Seema Saini , Devi Prasad Dash
The study highlights the impact of energy security on global value chain participation (GVCs) in 48 Asian economies from 1990 to 2022, with a major focus on interaction effect of governance indicators. Utilising long run estimation approach our findings indicates, (1)Energy import and usage significantly enhances GVCs participation demonstrating the access to reliable and affordable energy supports; (2) Moderation effect of governance indicators such as political stability, rule of law, government effectiveness, regulatory quality, voice and accountability, and control of corruption indicates the positive and significant impact on GVCs participation, fostering greater industrialization and economic integration; (3) Political globalisation and inbound tourism have a positive impact on GVC participation, indicating strengthen international cooperation, enhanced international mobility and governance through effective regulations and economic policies; (4) Carbon emission also indicates positive influence on GVCs participation, signaling higher levels of industrialization, often associated with increased carbon output, are linked to greater integration into global value chains. Overall, promotion of energy security compliance along with robust institutional governance suggests that energy imports could be an attractive and effective approach in promoting global connectivity with enhanced industrial capacity.
{"title":"Institutional governance and energy security: Unveiling the drivers of global value chain participation in Asian economies","authors":"Wajid Ali , Seema Saini , Devi Prasad Dash","doi":"10.1016/j.asieco.2025.102108","DOIUrl":"10.1016/j.asieco.2025.102108","url":null,"abstract":"<div><div>The study highlights the impact of energy security on global value chain participation (GVCs) in 48 Asian economies from 1990 to 2022, with a major focus on interaction effect of governance indicators. Utilising long run estimation approach our findings indicates, (1)Energy import and usage significantly enhances GVCs participation demonstrating the access to reliable and affordable energy supports; (2) Moderation effect of governance indicators such as political stability, rule of law, government effectiveness, regulatory quality, voice and accountability, and control of corruption indicates the positive and significant impact on GVCs participation, fostering greater industrialization and economic integration; (3) Political globalisation and inbound tourism have a positive impact on GVC participation, indicating strengthen international cooperation, enhanced international mobility and governance through effective regulations and economic policies; (4) Carbon emission also indicates positive influence on GVCs participation, signaling higher levels of industrialization, often associated with increased carbon output, are linked to greater integration into global value chains. Overall, promotion of energy security compliance along with robust institutional governance suggests that energy imports could be an attractive and effective approach in promoting global connectivity with enhanced industrial capacity.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"103 ","pages":"Article 102108"},"PeriodicalIF":3.4,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979780","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 : 2026-01-01DOI: 10.1016/j.asieco.2025.102107
Zhui Liu, Kuiran Yuan , Huiru Wei
As a pivotal platform for institutional openness, Pilot Free Trade Zones (PFTZs) are increasingly serving as key policy instruments for promoting regional economic agglomeration and cross-border talent mobility worldwide. Grounded in agglomeration economics theory, this study employs panel data from 284 prefecture-level cities in China and adopts a staggered difference-in-differences (DID) model to empirically assess the effect of PFTZ establishment on urban talent agglomeration. The findings indicate that the establishment of PFTZs significantly enhances regional talent agglomeration. Mechanism analysis reveals that PFTZs promote talent agglomeration primarily through enhancing entrepreneurial vitality, optimizing the innovation environment, and attracting foreign investment inflows. Spatial effect analysis reveals a shadow suppression zone within 50 kilometers of the PFTZs, while a notable positive spillover effect exists in the 50–150 kilometers range. However, these effects diminish significantly beyond 200 kilometers. Moreover, the impact of PFTZs on talent agglomeration exhibits significant heterogeneity across pilot batches, geographic locations, and educational levels. These findings enrich the theoretical understanding of how institutional policies influence talent flows and provide practical insights for local governments aiming to optimize talent allocation through PFTZ initiatives.
{"title":"Can pilot free trade zones promote the agglomeration of talent in cities: Evidence from China","authors":"Zhui Liu, Kuiran Yuan , Huiru Wei","doi":"10.1016/j.asieco.2025.102107","DOIUrl":"10.1016/j.asieco.2025.102107","url":null,"abstract":"<div><div>As a pivotal platform for institutional openness, Pilot Free Trade Zones (PFTZs) are increasingly serving as key policy instruments for promoting regional economic agglomeration and cross-border talent mobility worldwide. Grounded in agglomeration economics theory, this study employs panel data from 284 prefecture-level cities in China and adopts a staggered difference-in-differences (DID) model to empirically assess the effect of PFTZ establishment on urban talent agglomeration. The findings indicate that the establishment of PFTZs significantly enhances regional talent agglomeration. Mechanism analysis reveals that PFTZs promote talent agglomeration primarily through enhancing entrepreneurial vitality, optimizing the innovation environment, and attracting foreign investment inflows. Spatial effect analysis reveals a shadow suppression zone within 50 kilometers of the PFTZs, while a notable positive spillover effect exists in the 50–150 kilometers range. However, these effects diminish significantly beyond 200 kilometers. Moreover, the impact of PFTZs on talent agglomeration exhibits significant heterogeneity across pilot batches, geographic locations, and educational levels. These findings enrich the theoretical understanding of how institutional policies influence talent flows and provide practical insights for local governments aiming to optimize talent allocation through PFTZ initiatives.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"102 ","pages":"Article 102107"},"PeriodicalIF":3.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884279","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 : 2026-01-01DOI: 10.1016/j.asieco.2025.102105
Sanjiv Kumar , K.P. Prabheesh , Iman Gunadi
This paper investigates the motives underlying Indonesia’s demand for international reserves. Using quarterly data for 2001Q1–2024Q4, we estimate a regression model for reserves-to-GDP and complement it with long-run cointegration techniques and quantile regressions. The baseline and cointegration results show that variables capturing precautionary and capital-account motives, most notably short-term external debt, the interest rate differential, and exchange-rate volatility, are the most robust determinants of reserve holdings. By contrast, current-account variables play a limited role. The undervaluation indicator is generally insignificant across specifications, providing little support for a strong mercantilist motive in Indonesia’s reserve accumulation strategy. Quantile regressions reveal important heterogeneity: the impact of short-term external debt is strongest in low-reserve regimes, while exchange-rate volatility becomes more relevant at the median and upper quantiles of the reserves distribution. Overall, the evidence suggests that Indonesia’s reserve policy has been guided primarily by precautionary and capital-account risk management rather than by persistent undervaluation aimed at export-led growth.
{"title":"Unravelling the factors behind Indonesia's international exchange reserves","authors":"Sanjiv Kumar , K.P. Prabheesh , Iman Gunadi","doi":"10.1016/j.asieco.2025.102105","DOIUrl":"10.1016/j.asieco.2025.102105","url":null,"abstract":"<div><div>This paper investigates the motives underlying Indonesia’s demand for international reserves. Using quarterly data for 2001Q1–2024Q4, we estimate a regression model for reserves-to-GDP and complement it with long-run cointegration techniques and quantile regressions. The baseline and cointegration results show that variables capturing precautionary and capital-account motives, most notably short-term external debt, the interest rate differential, and exchange-rate volatility, are the most robust determinants of reserve holdings. By contrast, current-account variables play a limited role. The undervaluation indicator is generally insignificant across specifications, providing little support for a strong mercantilist motive in Indonesia’s reserve accumulation strategy. Quantile regressions reveal important heterogeneity: the impact of short-term external debt is strongest in low-reserve regimes, while exchange-rate volatility becomes more relevant at the median and upper quantiles of the reserves distribution. Overall, the evidence suggests that Indonesia’s reserve policy has been guided primarily by precautionary and capital-account risk management rather than by persistent undervaluation aimed at export-led growth.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"102 ","pages":"Article 102105"},"PeriodicalIF":3.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884280","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 : 2026-01-01DOI: 10.1016/j.asieco.2025.102112
Chenyu Zeng, Xiahai Wei, Lingzheng Yu
As a new form of urban transportation, dockless bike sharing effectively improves connectivity between work and residence through its spatial penetration capabilities, reshaping commuting patterns and travel efficiency for workers. Whether the widespread adoption of dockless bike sharing has a positive impact on the labor market warrants further investigation. This paper uses the entry of the dockless bike sharing platform as a quasi-natural experiment, examining its impact on wages for short-distance commuters and the underlying mechanisms through micro-level individual data. This paper finds that the widespread adoption of bike sharing significantly increases workers’ wage levels, a conclusion that remains valid after a series of robustness tests. The mechanism behind this lies in the fact that bike sharing reduces commuting time and frees up additional working hours, thereby promoting wage growth by improving workers’ time allocation. Heterogeneity analysis indicates that bike sharing has a greater wage premium effect on urban vulnerable groups, outdoor mobile office workers, and short-distance workers, and the effect is more pronounced in cities with high levels of urban sprawl. This paper deepens the understanding of how dockless bike sharing enhances the welfare of urban workers, providing empirical evidence and decision-making references for governments to improve the new form of urban transportation and labor market development.
{"title":"The Commuter’s dividend: Dockless bike sharing and wage premium in urban labor market","authors":"Chenyu Zeng, Xiahai Wei, Lingzheng Yu","doi":"10.1016/j.asieco.2025.102112","DOIUrl":"10.1016/j.asieco.2025.102112","url":null,"abstract":"<div><div>As a new form of urban transportation, dockless bike sharing effectively improves connectivity between work and residence through its spatial penetration capabilities, reshaping commuting patterns and travel efficiency for workers. Whether the widespread adoption of dockless bike sharing has a positive impact on the labor market warrants further investigation. This paper uses the entry of the dockless bike sharing platform as a quasi-natural experiment, examining its impact on wages for short-distance commuters and the underlying mechanisms through micro-level individual data. This paper finds that the widespread adoption of bike sharing significantly increases workers’ wage levels, a conclusion that remains valid after a series of robustness tests. The mechanism behind this lies in the fact that bike sharing reduces commuting time and frees up additional working hours, thereby promoting wage growth by improving workers’ time allocation. Heterogeneity analysis indicates that bike sharing has a greater wage premium effect on urban vulnerable groups, outdoor mobile office workers, and short-distance workers, and the effect is more pronounced in cities with high levels of urban sprawl. This paper deepens the understanding of how dockless bike sharing enhances the welfare of urban workers, providing empirical evidence and decision-making references for governments to improve the new form of urban transportation and labor market development.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"102 ","pages":"Article 102112"},"PeriodicalIF":3.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925165","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 : 2026-01-01DOI: 10.1016/j.asieco.2025.102113
Xinghua Guan , Ruixue Han , Jie Mao
The financing crowding-out effect of local public debt on microeconomic entities is a long-term, structural, and institutional issue that currently constrains China's economy from transitioning to a high-quality development stage. Based on the guarantee data collected manually, our study constructs the guarantee networks of the local government financing vehicles (LGFVs) from 2014 to 2022 using the complex network analysis method, and examines the influence of guarantee networks on the debt level of non-LGFV local firms. The results show that the expansion of the scale of the LGFVs' guarantee networks reduces the debt level of the non-LGFV local firms. This effect is particularly prominent in short-term liabilities, as well as non-state-owned enterprises, and areas with a poor social credit environment or higher network connectivity. Research on economic consequences indicates that the financing crowding-out effect of guarantee networks on non-LGFV local firms compels these firms to adjust their debt financing structure—specifically by increasing secured debts and advance receipts—and to alter their investment strategies, including reducing innovation investment. This research not only provides new evidence from a micro perspective on the impact of LGFVs' guarantee networks on corporate leverage but also offers valuable policy insights for optimizing local public debt management, improving financial market mechanisms, and promoting high-quality economic development.
{"title":"Guarantee networks and financial resource allocation: Firm-level evidence from China","authors":"Xinghua Guan , Ruixue Han , Jie Mao","doi":"10.1016/j.asieco.2025.102113","DOIUrl":"10.1016/j.asieco.2025.102113","url":null,"abstract":"<div><div>The financing crowding-out effect of local public debt on microeconomic entities is a long-term, structural, and institutional issue that currently constrains China's economy from transitioning to a high-quality development stage. Based on the guarantee data collected manually, our study constructs the guarantee networks of the local government financing vehicles (LGFVs) from 2014 to 2022 using the complex network analysis method, and examines the influence of guarantee networks on the debt level of non-LGFV local firms. The results show that the expansion of the scale of the LGFVs' guarantee networks reduces the debt level of the non-LGFV local firms. This effect is particularly prominent in short-term liabilities, as well as non-state-owned enterprises, and areas with a poor social credit environment or higher network connectivity. Research on economic consequences indicates that the financing crowding-out effect of guarantee networks on non-LGFV local firms compels these firms to adjust their debt financing structure—specifically by increasing secured debts and advance receipts—and to alter their investment strategies, including reducing innovation investment. This research not only provides new evidence from a micro perspective on the impact of LGFVs' guarantee networks on corporate leverage but also offers valuable policy insights for optimizing local public debt management, improving financial market mechanisms, and promoting high-quality economic development.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"102 ","pages":"Article 102113"},"PeriodicalIF":3.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925166","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 : 2026-01-01DOI: 10.1016/j.asieco.2025.102109
Zuofeng Wu , Huayu Shen , Jing Jiao
This study empirically examines the nexus between Chinese Fiscal Policy Uncertainty (CFPU) and corporate total factor productivity (CTFP) using a panel dataset of Chinese listed firms covering the period 2011–2023. The core results demonstrate that CFPU exerts a robustly negative impact on CTFP, with financial constraints serving as a primary mediating channel: heightened CFPU exacerbates firms’ financing frictions, which in turn constrain productivity growth. Supplementary mechanism tests further corroborate that CFPU undermines CTFP by suppressing corporate innovation investment and inducing inefficient underinvestment behaviors. Heterogeneity analyses reveal notable cross-firm variations in this relationship: state-owned enterprises (SOEs) and firms with a higher shareholding ratio of the largest shareholder exhibit greater resilience to CFPU’s adverse productivity effects, owing to their stronger risk-bearing capacity and privileged resource access. In contrast, firms with CEO duality suffer more severe CTFP losses due to impaired internal governance and decision-making oversight. To mitigate endogeneity concerns and verify result robustness, the study employs a battery of identification strategies, including instrumental variable regression, alternative model specifications, substitutions of the CTFP proxy, and dual clustering regressions. All robustness checks confirm the validity of the core findings. This research advances the literature by clarifying the microeconomic implications of fiscal policy uncertainty and its multi-channel transmission to firm productivity, while offering actionable implications for policymakers to enhance fiscal policy stability and for enterprises to optimize governance and financing strategies amid policy volatility.
{"title":"Chinese fiscal policy uncertainty and corporate total factor productivity","authors":"Zuofeng Wu , Huayu Shen , Jing Jiao","doi":"10.1016/j.asieco.2025.102109","DOIUrl":"10.1016/j.asieco.2025.102109","url":null,"abstract":"<div><div>This study empirically examines the nexus between Chinese Fiscal Policy Uncertainty (<em>CFPU</em>) and corporate total factor productivity (<em>CTFP</em>) using a panel dataset of Chinese listed firms covering the period 2011–2023. The core results demonstrate that <em>CFPU</em> exerts a robustly negative impact on <em>CTFP</em>, with financial constraints serving as a primary mediating channel: heightened <em>CFPU</em> exacerbates firms’ financing frictions, which in turn constrain productivity growth. Supplementary mechanism tests further corroborate that <em>CFPU</em> undermines <em>CTFP</em> by suppressing corporate innovation investment and inducing inefficient underinvestment behaviors. Heterogeneity analyses reveal notable cross-firm variations in this relationship: state-owned enterprises (SOEs) and firms with a higher shareholding ratio of the largest shareholder exhibit greater resilience to CFPU’s adverse productivity effects, owing to their stronger risk-bearing capacity and privileged resource access. In contrast, firms with CEO duality suffer more severe <em>CTFP</em> losses due to impaired internal governance and decision-making oversight. To mitigate endogeneity concerns and verify result robustness, the study employs a battery of identification strategies, including instrumental variable regression, alternative model specifications, substitutions of the <em>CTFP</em> proxy, and dual clustering regressions. All robustness checks confirm the validity of the core findings. This research advances the literature by clarifying the microeconomic implications of fiscal policy uncertainty and its multi-channel transmission to firm productivity, while offering actionable implications for policymakers to enhance fiscal policy stability and for enterprises to optimize governance and financing strategies amid policy volatility.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"102 ","pages":"Article 102109"},"PeriodicalIF":3.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884281","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}