Pub Date : 2025-07-08DOI: 10.1016/j.rspp.2025.100229
Markus Vogl , Milena Kojić , Stephan Schlüter
This structured keyword-based meta-analysis reviews the estimation of climate risk factors and their economic impact in the recent literature between 2009 and 2025. Via examining existing research we are able to extract core statements, critical success and risk factors, considered data sets, implemented quantitative methods, and core empirical results. This allows us to identify current state-of-the-art topics and methodologies. Furthermore, we identify three major interrelated pillars, namely, policy-level considerations, macroeconomic effect chains paired with market-level dynamics, and quantitative modelling methodologies. According to the analysed research articles, a comprehensive understanding of at least two of these pillars is essential for effectively identifying, controlling, and modelling climate risk. This, in turn, helps to develop political strategies for mitigating climate change, which is displayed as a comprehensive triad model that can serve as a didactical basis for policy-decision making.
{"title":"Decrypting the triad of climate policies, macroeconomic interdependencies and quantitative modelling: A literature review on quantifying climate risks","authors":"Markus Vogl , Milena Kojić , Stephan Schlüter","doi":"10.1016/j.rspp.2025.100229","DOIUrl":"10.1016/j.rspp.2025.100229","url":null,"abstract":"<div><div>This structured keyword-based meta-analysis reviews the estimation of climate risk factors and their economic impact in the recent literature between 2009 and 2025. Via examining existing research we are able to extract core statements, critical success and risk factors, considered data sets, implemented quantitative methods, and core empirical results. This allows us to identify current state-of-the-art topics and methodologies. Furthermore, we identify three major interrelated pillars, namely, policy-level considerations, macroeconomic effect chains paired with market-level dynamics, and quantitative modelling methodologies. According to the analysed research articles, a comprehensive understanding of at least two of these pillars is essential for effectively identifying, controlling, and modelling climate risk. This, in turn, helps to develop political strategies for mitigating climate change, which is displayed as a comprehensive triad model that can serve as a didactical basis for policy-decision making.</div></div>","PeriodicalId":45520,"journal":{"name":"Regional Science Policy and Practice","volume":"17 11","pages":"Article 100229"},"PeriodicalIF":2.1,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144989202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-07DOI: 10.1016/j.rspp.2025.100231
Sripurna Kanjilal , Gupinath Bhandari
Cyclones cause loss of lives and damage to properties in India every year. West Bengal is among the most cyclone prone states in India. Multipurpose cyclone shelters (MPCS) are government funded community buildings built to protect the local inhabitants and their livestock during cyclones and form an important part of coastal resilient infrastructure. The study evaluates the preparedness to cyclones in respect to existing infrastructural facilities, mainly MPCS, high schools, healthcare centres, road infrastructure and administrative institutions in five coast adjacent blocks of Purba Medinipur district. 341 respondents belonging to 118 randomly selected households were surveyed. The distribution of the MPCS have been evaluated by using Nearest Neighbour Analysis. The locations of the existing cyclone shelters have been analysed based on their mean centre of population, indicating a non-equitable distribution of the MPCS. The Uniformity of distribution and Degree of Demand of selected existing infrastructure have also been calculated. The MPCS of community development block Ramnagar I are geometrically uniform; the ones at Khejuri II and Ramnagar II are clustered and dispersed respectively. Only 21 % of the vulnerable population have reasonable access to MPCS during the disaster periods; thus leaving 79 % more susceptible to the cyclone hazards. Quite satisfactorily, 83 % of the vulnerable population have access to healthcare facility during the difficult times. This study deciphers the shortcomings of the existing infrastructure in disaster risk reduction. Addressing these may lead to a more holistic disaster preparedness planning of the coastal community.
{"title":"Physical infrastructure development in cyclone preparedness strategy: An assessment in the cyclone prone blocks of West Bengal, India","authors":"Sripurna Kanjilal , Gupinath Bhandari","doi":"10.1016/j.rspp.2025.100231","DOIUrl":"10.1016/j.rspp.2025.100231","url":null,"abstract":"<div><div>Cyclones cause loss of lives and damage to properties in India every year. West Bengal is among the most cyclone prone states in India. Multipurpose cyclone shelters (MPCS) are government funded community buildings built to protect the local inhabitants and their livestock during cyclones and form an important part of coastal resilient infrastructure. The study evaluates the preparedness to cyclones in respect to existing infrastructural facilities, mainly MPCS, high schools, healthcare centres, road infrastructure and administrative institutions in five coast adjacent blocks of Purba Medinipur district. 341 respondents belonging to 118 randomly selected households were surveyed. The distribution of the MPCS have been evaluated by using Nearest Neighbour Analysis. The locations of the existing cyclone shelters have been analysed based on their mean centre of population, indicating a non-equitable distribution of the MPCS. The Uniformity of distribution and Degree of Demand of selected existing infrastructure have also been calculated. The MPCS of community development block Ramnagar I are geometrically uniform; the ones at Khejuri II and Ramnagar II are clustered and dispersed respectively. Only 21 % of the vulnerable population have reasonable access to MPCS during the disaster periods; thus leaving 79 % more susceptible to the cyclone hazards. Quite satisfactorily, 83 % of the vulnerable population have access to healthcare facility during the difficult times. This study deciphers the shortcomings of the existing infrastructure in disaster risk reduction. Addressing these may lead to a more holistic disaster preparedness planning of the coastal community.</div></div>","PeriodicalId":45520,"journal":{"name":"Regional Science Policy and Practice","volume":"17 11","pages":"Article 100231"},"PeriodicalIF":2.1,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-05DOI: 10.1016/j.rspp.2025.100230
Ljiljan Veselinovic , Mirza Kulenovic
Understanding the cognitive perspective is regarded as highly useful to the field of entrepreneurship. This study aims to understand the cognitive differences between individuals who wish to start their own business and those who do not, as well as those who started a business and those who have not engaged in entrepreneurship. Additionally, the analysis looks into whether these two groups have differences in business knowledge (BK) and active open-minded thinking (AOT). To ensure robust comparability between the two cohorts, we use propensity score matching (PSM) techniques, along with a range of covariates such as age, gender, education, income, the degree of optimism, the fear of failure, and the importance of belonging to the family. By analyzing data collected through surveys, we aim to uncover differences in cognitive dimensions that may influence entrepreneurial intention. The findings of this research study have implications for understanding the factors that contribute to entrepreneurial aspirations in order to provide valuable information for policy-informing. The paper can help develop tailored interventions aimed at fostering entrepreneurial ecosystems.
{"title":"Exploring cognitive differences in prospective entrepreneurs: An analysis using propensity score matching","authors":"Ljiljan Veselinovic , Mirza Kulenovic","doi":"10.1016/j.rspp.2025.100230","DOIUrl":"10.1016/j.rspp.2025.100230","url":null,"abstract":"<div><div>Understanding the cognitive perspective is regarded as highly useful to the field of entrepreneurship. This study aims to understand the cognitive differences between individuals who wish to start their own business and those who do not, as well as those who started a business and those who have not engaged in entrepreneurship. Additionally, the analysis looks into whether these two groups have differences in business knowledge (BK) and active open-minded thinking (AOT). To ensure robust comparability between the two cohorts, we use propensity score matching (PSM) techniques, along with a range of covariates such as age, gender, education, income, the degree of optimism, the fear of failure, and the importance of belonging to the family. By analyzing data collected through surveys, we aim to uncover differences in cognitive dimensions that may influence entrepreneurial intention. The findings of this research study have implications for understanding the factors that contribute to entrepreneurial aspirations in order to provide valuable information for policy-informing. The paper can help develop tailored interventions aimed at fostering entrepreneurial ecosystems.</div></div>","PeriodicalId":45520,"journal":{"name":"Regional Science Policy and Practice","volume":"17 11","pages":"Article 100230"},"PeriodicalIF":2.1,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01DOI: 10.1016/j.rspp.2025.100226
Arun Pratap Mishra , Subhash Anand , Amit Kumar Batar
The integration of peri-urban areas into smart city initiatives is crucial for addressing regional inequalities and fostering inclusive urban development. In the context of India’s rapid urbanization, peri-urban regions often remain neglected despite their critical role in supporting urban growth and development. This study aims to delineate peri-urban areas in Lucknow City, assess their socio-economic development, and establish links between smart city components and peri-urban transformation. For this purpose, the study utilized Indian Census data, LANDSAT 8 satellite imagery, and primary survey responses. Methodologies included Land Use Land Cover (LULC) analysis, Principal Component Analysis (PCA), and the Peri-Urban Development Index (PUDI). The findings reveal that most peri-urban settlements fall within low to medium development categories, highlighting significant socio-economic disparities. Promising trends, such as improving digital literacy and internet access, contrast with persistent gaps in governance, renewable energy infrastructure, and multimodal transport networks. The study underscores the need for smart cities to establish strong linkages with peri-urban regions to reduce intra-regional disparities. In the Indian context, where villages and small towns are integral to the nation’s socio-economic fabric, focusing on peri-urban areas is vital for development to reach the grassroots level. By addressing regional inequalities and socio-economic disparities, the findings provide actionable insights for policymakers to integrate peri-urban regions into smart urban planning strategies. This study offers a foundation for developing smart villages and regions, ensuring that the benefits of smart city initiatives extend beyond urban centers to create equitable and sustainable growth.
{"title":"Optimizing regional development through smart cities: A case study of Lucknow city, India","authors":"Arun Pratap Mishra , Subhash Anand , Amit Kumar Batar","doi":"10.1016/j.rspp.2025.100226","DOIUrl":"10.1016/j.rspp.2025.100226","url":null,"abstract":"<div><div>The integration of peri-urban areas into smart city initiatives is crucial for addressing regional inequalities and fostering inclusive urban development. In the context of India’s rapid urbanization, peri-urban regions often remain neglected despite their critical role in supporting urban growth and development. This study aims to delineate peri-urban areas in Lucknow City, assess their socio-economic development, and establish links between smart city components and peri-urban transformation. For this purpose, the study utilized Indian Census data, LANDSAT 8 satellite imagery, and primary survey responses. Methodologies included Land Use Land Cover (LULC) analysis, Principal Component Analysis (PCA), and the Peri-Urban Development Index (PUDI). The findings reveal that most peri-urban settlements fall within low to medium development categories, highlighting significant socio-economic disparities. Promising trends, such as improving digital literacy and internet access, contrast with persistent gaps in governance, renewable energy infrastructure, and multimodal transport networks. The study underscores the need for smart cities to establish strong linkages with peri-urban regions to reduce intra-regional disparities. In the Indian context, where villages and small towns are integral to the nation’s socio-economic fabric, focusing on peri-urban areas is vital for development to reach the grassroots level. By addressing regional inequalities and socio-economic disparities, the findings provide actionable insights for policymakers to integrate peri-urban regions into smart urban planning strategies. This study offers a foundation for developing smart villages and regions, ensuring that the benefits of smart city initiatives extend beyond urban centers to create equitable and sustainable growth.</div></div>","PeriodicalId":45520,"journal":{"name":"Regional Science Policy and Practice","volume":"17 11","pages":"Article 100226"},"PeriodicalIF":2.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-30DOI: 10.1016/j.rspp.2025.100217
Diego N. Teixeira , Gervásio F. Santos , Tyago O. Carmo
The objective of the paper is to measure the gender gap in microcredit programs, considering the dynamics of the local economy and the labor market. We used data from the CrediBahia program in the State of Bahia, Brazil, to carry out the research. The literature indicates that the default rate for female borrowers is lower than that of male peers, even considering the difficulty for women to access the traditional credit market. In this context, the research contributes to the literature by including the effects of local and labor market characteristics on the ability to pay by women. We applied logistic models, Propensity score matching (PSM), and Instrumental variable estimation to test the existence of a gender gap among borrowers in the Brazilian microcredit program. The marginal effect shows that the probability of default for female borrowers was 21.5% lower than for males. Expected profits for female borrowers were 30.8% higher than the sample mean. The female borrowers were associated with an expected loss 18.6% lower than the sample mean and the repayment ratio was 1.7% higher than the sample mean. The default rate is also lower for older and married women. The marginal effect shows that the probability of default for married female borrowers was 7.6% lower than for a single female and 26.8% lower than for men. Each additional year for the woman, the probability of default of the female borrowers was 0.5% lower than for the men. In addition, the dynamics of the local economy contribute to women’s loan performance. Thus, the results suggest that lending to women is more profitable and less risky.
{"title":"Gender gap and local economic diversity in microfinance: Evidence from the microcredit program in Brazil","authors":"Diego N. Teixeira , Gervásio F. Santos , Tyago O. Carmo","doi":"10.1016/j.rspp.2025.100217","DOIUrl":"10.1016/j.rspp.2025.100217","url":null,"abstract":"<div><div>The objective of the paper is to measure the gender gap in microcredit programs, considering the dynamics of the local economy and the labor market. We used data from the CrediBahia program in the State of Bahia, Brazil, to carry out the research. The literature indicates that the default rate for female borrowers is lower than that of male peers, even considering the difficulty for women to access the traditional credit market. In this context, the research contributes to the literature by including the effects of local and labor market characteristics on the ability to pay by women. We applied logistic models, Propensity score matching (PSM), and Instrumental variable estimation to test the existence of a gender gap among borrowers in the Brazilian microcredit program. The marginal effect shows that the probability of default for female borrowers was 21.5% lower than for males. Expected profits for female borrowers were 30.8% higher than the sample mean. The female borrowers were associated with an expected loss 18.6% lower than the sample mean and the repayment ratio was 1.7% higher than the sample mean. The default rate is also lower for older and married women. The marginal effect shows that the probability of default for married female borrowers was 7.6% lower than for a single female and 26.8% lower than for men. Each additional year for the woman, the probability of default of the female borrowers was 0.5% lower than for the men. In addition, the dynamics of the local economy contribute to women’s loan performance. Thus, the results suggest that lending to women is more profitable and less risky.</div></div>","PeriodicalId":45520,"journal":{"name":"Regional Science Policy and Practice","volume":"17 9","pages":"Article 100217"},"PeriodicalIF":1.7,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-26DOI: 10.1016/j.rspp.2025.100223
Huasheng Zhu , Peixin Huang , Jiachen Yue
High-speed railway (HSR) impacts the economic growth and industrial spatial structure of the cities along the line. The extant literature discusses the influence of HSR on the agglomeration of the service industry but pays little attention to that of the manufacturing industry. This article takes the Beijing–Guangzhou HSR in China as an example, uses panel data from cities along the line from 2006 to 2018, constructs a staggered difference-in-differences model, and examines the impact of HSR on the agglomeration of the high-, medium- and low-technology manufacturing sectors. The findings are as follows. 1. HSR promotes the agglomeration of the manufacturing industry in the cities along the line, but the impact varies across different sectors. Specifically, the high-technology manufacturing sector tends to conglomerate in cities along the line, whereas the agglomeration of the medium-technology manufacturing sector is inhibited. 2. There is urban and locational heterogeneity in the impact of HSR on manufacturing agglomeration. The smaller the city size is, the greater and more significant the changes in the spatial agglomeration of each manufacturing sector. The agglomeration of the manufacturing industry (especially the high-technology manufacturing sector) is significantly affected by HSR in central cities and their surrounding cities, whereas this is not the case in peripheral cities. 3. HSR helps small cities along the line gain access to borrowed size, which further promotes the agglomeration of the high-technology manufacturing sector but suppresses the agglomeration effect of the low-technology manufacturing sector.
{"title":"Does high-speed railway speed up manufacturing agglomeration along the line? A case study of the Beijing–Guangzhou high-speed railway","authors":"Huasheng Zhu , Peixin Huang , Jiachen Yue","doi":"10.1016/j.rspp.2025.100223","DOIUrl":"10.1016/j.rspp.2025.100223","url":null,"abstract":"<div><div>High-speed railway (HSR) impacts the economic growth and industrial spatial structure of the cities along the line. The extant literature discusses the influence of HSR on the agglomeration of the service industry but pays little attention to that of the manufacturing industry. This article takes the Beijing–Guangzhou HSR in China as an example, uses panel data from cities along the line from 2006 to 2018, constructs a staggered difference-in-differences model, and examines the impact of HSR on the agglomeration of the high-, medium- and low-technology manufacturing sectors. The findings are as follows. 1. HSR promotes the agglomeration of the manufacturing industry in the cities along the line, but the impact varies across different sectors. Specifically, the high-technology manufacturing sector tends to conglomerate in cities along the line, whereas the agglomeration of the medium-technology manufacturing sector is inhibited. 2. There is urban and locational heterogeneity in the impact of HSR on manufacturing agglomeration. The smaller the city size is, the greater and more significant the changes in the spatial agglomeration of each manufacturing sector. The agglomeration of the manufacturing industry (especially the high-technology manufacturing sector) is significantly affected by HSR in central cities and their surrounding cities, whereas this is not the case in peripheral cities. 3. HSR helps small cities along the line gain access to borrowed size, which further promotes the agglomeration of the high-technology manufacturing sector but suppresses the agglomeration effect of the low-technology manufacturing sector.</div></div>","PeriodicalId":45520,"journal":{"name":"Regional Science Policy and Practice","volume":"17 11","pages":"Article 100223"},"PeriodicalIF":2.1,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-23DOI: 10.1016/j.rspp.2025.100219
Angelica Siegel , Eveline van Leeuwen
This article investigates success factors for niche circular food businesses to scale up. We first translate Circular Economy thinking to a food systems context by creating a comprehensive overview of circular food activities and measurements. Using Toronto, Canada as a case study, we analyze eleven niche circular food solutions to find success and barrier factors to scale up. Data was collected via questionnaires and interviews, resulting in five categories of factors that either help or hinder circular food business growth. A statistical correlation analysis is performed. The most successful businesses were those that operated in more than one stage of the food chain, had at least 2–3 years to stabilize their performance, and had financial investors. We explore that circular businesses strongly prioritize social and environmental goals and the impact of this when seeking (or avoiding) grants and other traditional business supports. Government and industry partners have a larger role to play in supporting circular businesses but must expand definitions of growth beyond economic metrics to effectively support the transition to a circular food system.
{"title":"Success factors for scaling urban circular businesses in the food sector","authors":"Angelica Siegel , Eveline van Leeuwen","doi":"10.1016/j.rspp.2025.100219","DOIUrl":"10.1016/j.rspp.2025.100219","url":null,"abstract":"<div><div>This article investigates success factors for niche circular food businesses to scale up. We first translate Circular Economy thinking to a food systems context by creating a comprehensive overview of circular food activities and measurements. Using Toronto, Canada as a case study, we analyze eleven niche circular food solutions to find success and barrier factors to scale up. Data was collected via questionnaires and interviews, resulting in five categories of factors that either help or hinder circular food business growth. A statistical correlation analysis is performed. The most successful businesses were those that operated in more than one stage of the food chain, had at least 2–3 years to stabilize their performance, and had financial investors. We explore that circular businesses strongly prioritize social and environmental goals and the impact of this when seeking (or avoiding) grants and other traditional business supports. Government and industry partners have a larger role to play in supporting circular businesses but must expand definitions of growth beyond economic metrics to effectively support the transition to a circular food system.</div></div>","PeriodicalId":45520,"journal":{"name":"Regional Science Policy and Practice","volume":"17 10","pages":"Article 100219"},"PeriodicalIF":1.7,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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