{"title":"Financing road projects and its impact on off-farm work in rural China","authors":"Ligao Bao , Motoi Kusadokoro , Atsushi Chitose","doi":"10.1016/j.seps.2025.102209","DOIUrl":null,"url":null,"abstract":"<div><div>Effective public sector decision-making in infrastructure financing is crucial for socio-economic development, especially in emerging economies. Since 2003, China has revamped its rural road construction policy, transitioning from “workers self-organised construction (Min Gong Jian Qin)\" to a “one project, one discussion (Yi Shi Yi Yi)\" approach and significantly increasing government investment. This study evaluates the impact of various financing sources—externally funded, self-financed, and mix financed—on rural off-farm income and migration intentions using the Chinese Household Income Project survey data, employing difference-in-differences and propensity score matching methodologies to analyze the socio-economic impacts of rural road projects financed through different sources on off-farm work income and migration intentions of the rural Chinese population. Findings reveal that externally funded road projects significantly enhance off-farm income and encourage migration intentions for work. Conversely, self-financed projects that rely on local villagers' contributions and voluntary labor, show no positive impact on off-farm income and unexpectedly reduce migration intentions. Importantly, projects with mixed financing models were found to have no significant impact on either off-farm income or migration patterns, highlighting challenges in the coordination and efficacy of these hybrid financing strategies. These results contribute to the discourse on public sector decision-making by demonstrating the critical role of government-funded infrastructure in facilitating socio-economic development in rural areas. The study underscores the importance of strategic resource allocation and effective financing models in enhancing rural infrastructure, increasing income, and enabling rural out-migration for improved livelihoods.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102209"},"PeriodicalIF":6.2000,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012125000588","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Effective public sector decision-making in infrastructure financing is crucial for socio-economic development, especially in emerging economies. Since 2003, China has revamped its rural road construction policy, transitioning from “workers self-organised construction (Min Gong Jian Qin)" to a “one project, one discussion (Yi Shi Yi Yi)" approach and significantly increasing government investment. This study evaluates the impact of various financing sources—externally funded, self-financed, and mix financed—on rural off-farm income and migration intentions using the Chinese Household Income Project survey data, employing difference-in-differences and propensity score matching methodologies to analyze the socio-economic impacts of rural road projects financed through different sources on off-farm work income and migration intentions of the rural Chinese population. Findings reveal that externally funded road projects significantly enhance off-farm income and encourage migration intentions for work. Conversely, self-financed projects that rely on local villagers' contributions and voluntary labor, show no positive impact on off-farm income and unexpectedly reduce migration intentions. Importantly, projects with mixed financing models were found to have no significant impact on either off-farm income or migration patterns, highlighting challenges in the coordination and efficacy of these hybrid financing strategies. These results contribute to the discourse on public sector decision-making by demonstrating the critical role of government-funded infrastructure in facilitating socio-economic development in rural areas. The study underscores the importance of strategic resource allocation and effective financing models in enhancing rural infrastructure, increasing income, and enabling rural out-migration for improved livelihoods.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.