{"title":"Local Government Proliferation and Fiscal Efficiency: Evidence From Ghana","authors":"Zurikanen Iddrisu, Abdul-Salam Jahanfo Abdulai, Erfan Kefayat, Mandela Gadri","doi":"10.1111/grow.70058","DOIUrl":"https://doi.org/10.1111/grow.70058","url":null,"abstract":"<p>In many active decentralized nations in the developing world, the number of sub-national administrative units has continued to increase over the past few decades. In most cases, this churning of more decentralized units does not go without contestation, with critics arguing that they are not done in the true spirit of decentralization but rather a political gesture to palliate constituents and increase popularity among seemingly under-represented groups. Even though studies have attempted to study the impacts of proliferation, we observe a huge swing toward the newly created administrative units, with few studies dedicated to the impacts of proliferation on the parent unit from which the split occurred. In this study, we look at the impact of splitting of districts on the Internal Revenue Generation performance of the parent district (split from) in Ghana. Using year-on-year inflation-adjusted Internally Generated Fund (IGF) for the period 2014–2022, we employed a Difference-in-Differences (DiD) research design, which was operationalized as an Ordinary Least Squares model with robust standard errors. The results show that holding other factors constant, the splitting of the districts in 2018 resulted in an increase in internal revenue generation performance (<i>p</i> < 0.05). We argue that the desire to meet pre-split revenue targets is among the key driving factors. Our results challenge existing notions that administrative unit proliferation is an entirely political activity with no positive recourse to the fiscal potential of the parent unit. Given that this study is only the first in the Ghanaian context, we believe deeply contextual studies are further needed to enhance understanding of the factors that could underline revenue improvements.</p>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"56 4","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/grow.70058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cristian Delgado-Bello, Andres Maroto, Miguel Atienza
{"title":"Regional Economic Resilience: The Cases of Brazil, Chile and Colombia","authors":"Cristian Delgado-Bello, Andres Maroto, Miguel Atienza","doi":"10.1111/grow.70060","DOIUrl":"https://doi.org/10.1111/grow.70060","url":null,"abstract":"<div>\u0000 \u0000 <p>This article analyses regional economic resilience from different perspectives and examines its relationship with regional dynamics and disparities. The labor markets of the regions of Brazil, Chile and Colombia were analyzed in the context of one of the most significant global recessionary shocks for South America, the Asian crisis. The study uses cycle dating methodology and a dynamic algorithm for the endogenous identification of structural breaks. The least resilient regions, according to different approaches, were concentrated in Chile and Colombia. These regions experienced prolonged recovery phases, which in some cases led to structural breaks and amplified regional disparities.</p>\u0000 </div>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"56 4","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224160","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}
{"title":"Land Use Transition and City Desirability: Case Study of Cache County Over Two Decades","authors":"Megh Bahadur KC","doi":"10.1111/grow.70057","DOIUrl":"https://doi.org/10.1111/grow.70057","url":null,"abstract":"<div>\u0000 \u0000 <p>This study analyzes two decades of land use changes in Cache County, Utah, focusing on the shift from agricultural land to urban areas using publicly available National Land Cover database, demographic and parcel datasets. Through GIS-based change detection, raster image analysis and integration of population and employment statistics, we reveal varying urbanization insights across selected municipalities. We introduced a development index, combining land transition, population growth and employment prospects, to assess the desirability of cities. Results highlight that housing demand from population increase does not hold a direct linear relationship to farmland conversion and supports urban densification. Smithfield was identified as the regional development hotspot in Cache County. The study highlights the need for proactive land use planning to balance growth with farmland preservation and demonstrates a replicable GIS-based approach for monitoring urbanization. Our findings offer valuable insights for regional urban planners and policymakers aiming for sustainable growth and informed land use decisions.</p>\u0000 </div>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"56 4","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146742","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}
Morgan Sleeth, Mylène Riva, Kevin Manaugh, Sébastien Breau
{"title":"‘Left Behind Places’: Examining the Evolution of a Concept With an Application to the Canadian Regional Development Context","authors":"Morgan Sleeth, Mylène Riva, Kevin Manaugh, Sébastien Breau","doi":"10.1111/grow.70055","DOIUrl":"https://doi.org/10.1111/grow.70055","url":null,"abstract":"<p>‘Left-behind places’ (LBPs) are generally defined as places experiencing economic stagnation and decline, typically reflected in post-industrial regions and rural areas. In recent years, the concept has gained increased popularity within urban and regional studies in the United Kingdom (UK) and other European countries. Research on the topic in the Canadian context, however, remains limited, with few studies specifically discussing how LBPs are defined in Canada, and even fewer attempting to empirically assess where they may be located across the country. The paper's objectives are twofold: (i) it examines the evolution of the concept of LBPs through an extensive literature review and (ii) explores its application to Canada. The paper employs Statistics Canada's 2021 Canadian Index of Multiple Deprivation (CIMD) dataset as a proxy for identifying LBPs across the country and examines their spatial dynamics at the census subdivision (CSD) level using local indicators of spatial association (LISA) statistics. A multinomial logistic regression model is also developed to explore regional factors. The analysis finds high clustering of CSDs with high levels of deprivation in rural, northern, and remote areas of Canada, as well as high clustering of CSDs with high levels of economic dependency in and around major Canadian cities.</p>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"56 4","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/grow.70055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Urban Growth Predictions: Optimization of Urbanization Strategy for Risk Mitigation in Medium-Sized Cities","authors":"Dilşah Erkek, Ceren Yağci, Fatih İşcan","doi":"10.1111/grow.70054","DOIUrl":"https://doi.org/10.1111/grow.70054","url":null,"abstract":"<div>\u0000 \u0000 <p>The study aims to forecast future urban growth and comprehend potential risks, with a particular focus on the dynamic nature of urban growth in medium-sized cities. By identifying factors affecting growth in urban areas, the SLEUTH model was utilized to analyze patterns of urban growth and associated changes in land use. Four scenarios were developed to anticipate urban development in Osmaniye, a medium-sized Turkish city, using the SLEUTH model for the year 2039. Scenarios S.1 and S.4 focus on the impacts of public investment on urban growth, while S.2 and S.3 examine the effects of urbanization on rural areas. Scenario S.3 also explores diverting urban development from high-risk seismic zones. S.1 poses the highest risk to agriculture (51% urbanization), while S.3 is the least threatening (37%). For forests, S.2 presents the highest risk (31%), but S.3 is the safest (25%). Overall, Scenario 3 provides the most effective approach for urbanization strategy, particularly for rural areas, protecting them from urbanization pressures and preserving geologically hazardous locations in Osmaniye. The study highlights how the SLEUTH model demonstrates the interaction between urban growth and spatial limitations, emphasizing the importance of understanding the consequences of urban growth for implementing effective zoning regulations.</p>\u0000 </div>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"56 4","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146375","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}
{"title":"Intelligent Pathway: Artificial Intelligence and the Path to Energy Sustainability","authors":"Zhiyuan Gao, Mengwen Hua, Ziying Jia, Lianqing Li, Yu Hao","doi":"10.1111/grow.70050","DOIUrl":"https://doi.org/10.1111/grow.70050","url":null,"abstract":"<div>\u0000 \u0000 <p>As artificial intelligence (AI) becomes increasingly integrated into economic and societal domains, it emerges as a pivotal force driving the shift toward low-carbon energy systems. This study examines how AI impacts the transformation of urban energy systems by utilizing a panel dataset comprising 278 Chinese spanning the years 2010–2019. The findings confirm that AI significantly enhances energy transition performance in urban settings. By precisely optimizing the integration and consumption of renewable energy, driving the energy efficiency revolution, and breaking the dependence on high-carbon energy development models, as well as enhancing grid resilience and ensuring energy supply security to overcome the vulnerabilities of the energy transition, AI also strengthens the innovation capacity of energy transition through accelerating technological breakthroughs and incubating new business models. Heterogeneity analysis reveals that AI better facilitates energy transition in those cities that are small and medium in size, cities with a solid industrial base, cities with a high level of economic clustering, and cities located in central and eastern China. Mechanism tests show that during AI-enabled transition processes, green technology innovation, human–machine compatibility, and energy efficiency play significant roles. Further analysis using a threshold model reveals that as electronic commerce, human capital, and business growth increase, AI's marginal effects on energy transition exhibit an incremental trend. This implies that improving digital infrastructure, raising human capital levels, and boosting economic growth are pathways to realizing the transformative effects of AI. This study assesses AI technology's effectiveness in promoting energy sustainability and high-quality development goals.</p>\u0000 </div>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"56 4","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145038359","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}
{"title":"Is There a Solow Productivity Paradox in China’s Manufacturing Industry: Threshold Effect of Factor Expansion Constraint","authors":"Xuehong Zhu, Yu Dong, Qiong Xu","doi":"10.1111/grow.70052","DOIUrl":"https://doi.org/10.1111/grow.70052","url":null,"abstract":"<div>\u0000 \u0000 <p>Despite the integration of China’s manufacturing industry with Information and Communication Technology (ICT) continuing to deepen, total factor productivity (TFP) of the manufacturing industry has not increased significantly as expected. Based on panel data from 28 manufacturing sub-sectors from 2002 to 2020, this study investigates whether the Solow productivity paradox exists. Considering that both the decline of factor expansion constraints and the rise of TFP can promote output growth, this study further discusses the role of factor expansion constraints in shaping the relationship between ICT and TFP. Empirical results indicate that the Solow paradox persists in manufacturing, particularly in sub-sectors heavily dependent on factor inputs. Moreover, the threshold model reveals that only when factor expansion constraints exceed the threshold, the promotion effect of ICT on TFP appears. Further research indicates that ICT can alleviate factor expansion constraints, but this effect has a crowding out effect on its role in improving TFP. This study emphasizes that the impact of ICT on TFP depends not only on external conditions, but also on the application direction of ICT, which provides theoretical support for formulating industrial policies that leverage ICT to enhance TFP.</p>\u0000 </div>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"56 4","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037776","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}
{"title":"Economic Resource Spatial Spillover and Local Government Policy Innovation Adoption in China","authors":"Li Ye, Jiebing Wu","doi":"10.1111/grow.70051","DOIUrl":"https://doi.org/10.1111/grow.70051","url":null,"abstract":"<div>\u0000 \u0000 <p>To examine whether economic resources in neighboring municipalities affect policy innovation adoption, this study investigated work resumption and production policies implemented by 290 Chinese municipalities. Word Mover's Distance was employed to measure policy innovation adoption, and spatial econometric models were used to analyze spatial spillover effects. The results reveal distinct spillover effects across different regional contexts. Specifically, we found negative spillovers from policy innovation adoption in eastern regions but positive spillovers in non-eastern region. Additionally, in eastern areas there are spatial negative spillovers from foreign direct investment (FDI) on policy innovations and positive spillovers from economic development. Furthermore, in non-eastern regions, fiscal decentralization has spatially positive spillovers on policy innovation, but FDI and economic development have negative spillovers. These findings suggest that regionally tailored strategies are essential to address asymmetric spillover effects and promote more balanced and effective policy innovation across different development contexts.</p>\u0000 </div>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"56 4","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145012139","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}
Elliot Boateng, Janet Dzator, Mary Amponsah, Michael Dzator
{"title":"Addressing Food Security in Sub-Saharan African Region: The Role of Financial Sector Development and Informality","authors":"Elliot Boateng, Janet Dzator, Mary Amponsah, Michael Dzator","doi":"10.1111/grow.70047","DOIUrl":"https://doi.org/10.1111/grow.70047","url":null,"abstract":"<div>\u0000 \u0000 <p>Finance is a critical factor in all stages of the food enterprise, from production to distribution, procurement, and consumption. Yet, in many developing countries, weak financial sector development and the prevalence of unregulated self-employed economic activities pose a significant challenge to food security. This study examines the extent to which the financial sector development and informality influence food security in Sub-Saharan Africa (SSA). We develop a conceptual framework linking financial sector development to food production and test it empirically, controlling for the role of informality. The findings show that the effect of financial development on food production in SSA is inconclusive and sensitive to the measures employed. In terms of informality, total, female, and male self-employment are generally found to hinder food security, although the magnitude and direction of these effects differ across income and regional groupings. Importantly, the interaction between financial sector indicators and informality measures suggests that access to finance enhances the potential of the informal sector to contribute positively to food production. These findings suggest that developing countries should prioritize both the regulation of the informal sector and the strengthening of financial sector institutions to expand access to finance. Their combined effects hold the potential to improve food production and, ultimately, food security in SSA.</p>\u0000 </div>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"56 4","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144929670","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}
{"title":"Rural Infrastructure Supply and Population Mobility—An Empirical Analysis Based on Microdata for Rural China","authors":"Yunxing Song, Jiguang Zhu, Yan Song","doi":"10.1111/grow.70049","DOIUrl":"https://doi.org/10.1111/grow.70049","url":null,"abstract":"<div>\u0000 \u0000 <p>Using microdata from rural China, we estimated the impact of rural infrastructure provision on the migration decisions of the floating population. We find that as the level of local public infrastructure provision increases, the amount of in-migration also increases, and this effect is more pronounced for individuals with work experience outside the countryside, however, it shows a downward trend from eastern, central, and western China sequentially. We find that the influx of in-migrants is facilitated by the improvement of livelihood-type infrastructure, including health care and education infrastructure, while in-migration is generally discouraged by improvements to agricultural production-type infrastructure. Our findings remain robust under alternative analyses. At the individual level, the demographic “pull” of rural infrastructure has a positive U-shape, that is, as people age, they tend to move to villages with better infrastructure, particularly for less educated laborers. At the household and village levels, migration decisions are a function of a range of public goods and factors, such as household car ownership, the presence of local non-farm industries, village location, local ecological, security conditions, employment, and income status. The findings of this paper contribute to the literature on rural population and rural revitalization issues and complement the literature related to rural-to-urban migration processes, which has found that two-way population mobility mechanisms contribute to sustainable urbanization and social stability.</p>\u0000 </div>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"56 3","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144915071","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}