Pub Date : 2023-03-01DOI: 10.1177/01600176221106126
Xiaoguang Chen, William A V Clark, Jingye Shi, Bing Xu
The COVID-19 pandemic changed behaviors, at least temporarily, and possibly more permanently, with implications for both work and leisure activities. Some of those behavioral changes, such as dining in restaurants, have significant ripple effects on businesses and employment. We investigate the response to health risks in China with a study of decisions about eating out during the pandemic. We find that compared to a traditional measure of financial risk attitude, dining out behavior better captures individuals' attitude toward the health risk posed by the pandemic and is more significant in predicting their expected total consumption during the recovery phase of the pandemic. In addition, we find that the effect of domestic in-migration is positive with respect to dining out, a signifier of confidence in the government response to the safety of internal flows. In contrast, international migration and port city of entry status are strongly negative with respect to dining out. The risk from the virus is perceived to be much stronger in such contexts. From a policy perspective establishing border controls was critical in re-creating a robust economy. Additional city and household level characteristics that affect dining-out behavior are also identified.
{"title":"What Affects Perceived Health Risk Attitude During the Pandemic: Evidence From Migration and Dining Behavior in China.","authors":"Xiaoguang Chen, William A V Clark, Jingye Shi, Bing Xu","doi":"10.1177/01600176221106126","DOIUrl":"10.1177/01600176221106126","url":null,"abstract":"<p><p>The COVID-19 pandemic changed behaviors, at least temporarily, and possibly more permanently, with implications for both work and leisure activities. Some of those behavioral changes, such as dining in restaurants, have significant ripple effects on businesses and employment. We investigate the response to health risks in China with a study of decisions about eating out during the pandemic. We find that compared to a traditional measure of financial risk attitude, dining out behavior better captures individuals' attitude toward the health risk posed by the pandemic and is more significant in predicting their expected total consumption during the recovery phase of the pandemic. In addition, we find that the effect of domestic in-migration is positive with respect to dining out, a signifier of confidence in the government response to the safety of internal flows. In contrast, international migration and port city of entry status are strongly negative with respect to dining out. The risk from the virus is perceived to be much stronger in such contexts. From a policy perspective establishing border controls was critical in re-creating a robust economy. Additional city and household level characteristics that affect dining-out behavior are also identified.</p>","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"46 1","pages":"127-148"},"PeriodicalIF":2.3,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184830/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47094311","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}
Pub Date : 2023-03-01DOI: 10.1177/01600176221099189
Nassibou Bassongui, Houda Ben Younes
This study aims to assess the role of absorptive capacity in the relationship between immigration and domestic innovation in sending countries using five average period data points from a sample of 35 African countries over the period 1995-2019. The results based on panel quantile regression with nonadditive fixed effects support the brain drain hypothesis, implying that immigration has negative heterogeneous effects on the innovation performance of sending countries. Our findings also revealed that absorptive capacity mitigates the negative effects of immigration when countries’ absorptive capacity reaches a certain threshold. These results suggest that strengthening the quality of institutions and physical infrastructures could mitigate the brain drain effect of immigration in Africa.
{"title":"Does Absorptive Capacity Matter in the Impact of Immigration on Innovation in Africa? Evidence from Panel Quantile Regression with Nonadditive fixed Effects","authors":"Nassibou Bassongui, Houda Ben Younes","doi":"10.1177/01600176221099189","DOIUrl":"https://doi.org/10.1177/01600176221099189","url":null,"abstract":"This study aims to assess the role of absorptive capacity in the relationship between immigration and domestic innovation in sending countries using five average period data points from a sample of 35 African countries over the period 1995-2019. The results based on panel quantile regression with nonadditive fixed effects support the brain drain hypothesis, implying that immigration has negative heterogeneous effects on the innovation performance of sending countries. Our findings also revealed that absorptive capacity mitigates the negative effects of immigration when countries’ absorptive capacity reaches a certain threshold. These results suggest that strengthening the quality of institutions and physical infrastructures could mitigate the brain drain effect of immigration in Africa.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"46 1","pages":"210 - 232"},"PeriodicalIF":2.3,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43537752","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 : 2023-01-13DOI: 10.1177/01600176221145879
C. García-Peña, Julián Molina, J. Ruiz Sinoga
This research delves into the need to use granular analyses at the neighborhood level to study the preexisting conditions of vulnerability that best explain the waves of COVID-19 incidence and mortality. It seems most appropriate to use the comprehensive approach of the sustainable development with variables that analyze the economic, social, environmental, and governance dimensions, given the extensive literature that identifies each as a determining factor for the impact of disease. The work utilizes a composite vulnerability index that allows the city of Malaga to be divided into 434 census sections; waves of incidence and mortality for each section are constructed for the period of March 2020 to March 2021. Cluster analysis reveals that there are five different cluster incidence patterns, whereas the lethality waves are found to behave as a hot-spot phenomenon. The results reveal that neighborhoods that are the most vulnerable in terms of their demographic conditions (large proportion over 65 years of age and dependent) and socioeconomic conditions (severe material deprivation), have been the most affected by COVID-19 infection and mortality.
{"title":"Learning About the Incidence and Lethality of COVID-19 in Vulnerable Neighborhoods: The Case of Malaga (Spain)","authors":"C. García-Peña, Julián Molina, J. Ruiz Sinoga","doi":"10.1177/01600176221145879","DOIUrl":"https://doi.org/10.1177/01600176221145879","url":null,"abstract":"This research delves into the need to use granular analyses at the neighborhood level to study the preexisting conditions of vulnerability that best explain the waves of COVID-19 incidence and mortality. It seems most appropriate to use the comprehensive approach of the sustainable development with variables that analyze the economic, social, environmental, and governance dimensions, given the extensive literature that identifies each as a determining factor for the impact of disease. The work utilizes a composite vulnerability index that allows the city of Malaga to be divided into 434 census sections; waves of incidence and mortality for each section are constructed for the period of March 2020 to March 2021. Cluster analysis reveals that there are five different cluster incidence patterns, whereas the lethality waves are found to behave as a hot-spot phenomenon. The results reveal that neighborhoods that are the most vulnerable in terms of their demographic conditions (large proportion over 65 years of age and dependent) and socioeconomic conditions (severe material deprivation), have been the most affected by COVID-19 infection and mortality.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41601768","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 : 2023-01-12DOI: 10.1177/01600176221145873
Jae Hong Kim, Kevin Kane, Young-An Kim, John R. Hipp
Much of the work concerning economic dynamism has focused on its aggregate-level implications, while there have been rising concerns about business displacement at the community or neighborhood level. In this article, we analyze this important (restructuring) process using detailed establishment-level business information and explore how it manifests itself across space within the Los Angeles—Long Beach—Santa Ana, CA Urbanized Area. We also investigate the association between business churning and neighborhood-level housing vacancy rates to understand the implications of dramatic changes in the business landscape. We find that housing vacancies are more likely to increase in urban neighborhoods with a higher establishment death rate, while the creation of new businesses can mitigate the association to some extent. We also detect substantial variation across decades not only in the spatial distribution of business churning but also in its association with housing vacancy rates, suggesting the evolving nature of business dynamics and their implications.
{"title":"Business Churning and Neighborhood Instability: Is There a Link?","authors":"Jae Hong Kim, Kevin Kane, Young-An Kim, John R. Hipp","doi":"10.1177/01600176221145873","DOIUrl":"https://doi.org/10.1177/01600176221145873","url":null,"abstract":"Much of the work concerning economic dynamism has focused on its aggregate-level implications, while there have been rising concerns about business displacement at the community or neighborhood level. In this article, we analyze this important (restructuring) process using detailed establishment-level business information and explore how it manifests itself across space within the Los Angeles—Long Beach—Santa Ana, CA Urbanized Area. We also investigate the association between business churning and neighborhood-level housing vacancy rates to understand the implications of dramatic changes in the business landscape. We find that housing vacancies are more likely to increase in urban neighborhoods with a higher establishment death rate, while the creation of new businesses can mitigate the association to some extent. We also detect substantial variation across decades not only in the spatial distribution of business churning but also in its association with housing vacancy rates, suggesting the evolving nature of business dynamics and their implications.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48754070","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 : 2022-12-30DOI: 10.1177/01600176221145882
Francisco J. Delgado, M. Mayor, M. J. Presno
In the present study, we investigate the convergence of research and development (R&D) expenditure, a relevant factor in competitiveness, across Spanish regions through a club convergence analysis for the period 2000 to 2017. The results show large regional disparities in R&D expenditure in Spain. We have identified four clusters, plus a divergent region: the Basque Country. The results are similar for the two perspectives considered: percentage of GDP and per capita. We discuss these results taking into account the effects of the Great Recession and compare the outcomes with those for a club convergence of regional GDP per capita. Finally, we carry out an ordered logit model to analyse the factors behind the clusters, with human capital and economic openness being significant.
{"title":"Heterogeneity of Research and Development Expenditure: A Convergence Analysis for the Spanish Regions","authors":"Francisco J. Delgado, M. Mayor, M. J. Presno","doi":"10.1177/01600176221145882","DOIUrl":"https://doi.org/10.1177/01600176221145882","url":null,"abstract":"In the present study, we investigate the convergence of research and development (R&D) expenditure, a relevant factor in competitiveness, across Spanish regions through a club convergence analysis for the period 2000 to 2017. The results show large regional disparities in R&D expenditure in Spain. We have identified four clusters, plus a divergent region: the Basque Country. The results are similar for the two perspectives considered: percentage of GDP and per capita. We discuss these results taking into account the effects of the Great Recession and compare the outcomes with those for a club convergence of regional GDP per capita. Finally, we carry out an ordered logit model to analyse the factors behind the clusters, with human capital and economic openness being significant.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45113216","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 : 2022-12-24DOI: 10.1177/01600176221145885
P. Schaeffer
Migration is a major engine of demographic change for towns, regions, and whole countries. Traditionally, migrations have been divided into those caused by push or pull factors or classified by events that triggered them. In other words, push and pull factors are but one way to classify migration movements. This work distinguishes between life course and structural migrations. Life course migrations are linked to important events in people’s lives such as graduation, marriage, having children, job promotions, discharge from the military, or retirement and the motivation comes from the migrant. Structural migrations are caused by changes in the economic, social, political, or natural environment and, therefore, externally motivated. This classification scheme is compatible with and complementary to existing classifications and particularly those based on push and pull factors. It yields some additional insights for policy making, empirical research, and migration modeling.
{"title":"Life Course and Structural Migrations: Refining Migration Classifications","authors":"P. Schaeffer","doi":"10.1177/01600176221145885","DOIUrl":"https://doi.org/10.1177/01600176221145885","url":null,"abstract":"Migration is a major engine of demographic change for towns, regions, and whole countries. Traditionally, migrations have been divided into those caused by push or pull factors or classified by events that triggered them. In other words, push and pull factors are but one way to classify migration movements. This work distinguishes between life course and structural migrations. Life course migrations are linked to important events in people’s lives such as graduation, marriage, having children, job promotions, discharge from the military, or retirement and the motivation comes from the migrant. Structural migrations are caused by changes in the economic, social, political, or natural environment and, therefore, externally motivated. This classification scheme is compatible with and complementary to existing classifications and particularly those based on push and pull factors. It yields some additional insights for policy making, empirical research, and migration modeling.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"46 1","pages":"359 - 380"},"PeriodicalIF":2.3,"publicationDate":"2022-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45684164","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 : 2022-12-23DOI: 10.1177/01600176221145874
Mo Li, João Pedro Ferreira, Christa D Court, David Meyer, Mengming Li, Wesley W Ingwersen
Subnational input-output (IO) tables capture industry- and region-specific production, consumption, and trade of commodities and serve as a common basis for regional and multi-regional economic impact analysis. However, subnational IO tables are not made available by national statistical offices, especially in the United States (US), nor have they been estimated with transparent methods for reproducibility or updated regularly for public availability. In this article, we describe a robust StateIO modeling framework to develop state and two-region IO models for all 50 states in the US using national IO tables and state industry and trade data from reliable public sources such as the US Bureau of Economic Analysis. We develop 2012-2017 state IO models and two-region IO models at the BEA summary level. The two regions are state of interest and rest of the US. All models are validated by a series of rigorous checks to ensure the results are balanced at state and national levels. We then use these models to calculate a 2012-2017 time series of macro economic indicators and highlight results for I I states that have distinct economies with respect to size, geography, and industry structure. We also compare selected indicators to state IO models created by popular licensed and open-source software. Our StateIO modeling framework is consolidated in an open-source R package, stateior, to ensure transparency and reproducibility. Our StateIO models are US-focused, which may not be transferrable to international accounts, and form the economic base of state versions of the US environmentally-extended IO models.
{"title":"StatelO - Open Source Economic Input-Output Models for the 50 States of the United States of America.","authors":"Mo Li, João Pedro Ferreira, Christa D Court, David Meyer, Mengming Li, Wesley W Ingwersen","doi":"10.1177/01600176221145874","DOIUrl":"https://doi.org/10.1177/01600176221145874","url":null,"abstract":"<p><p>Subnational input-output (IO) tables capture industry- and region-specific production, consumption, and trade of commodities and serve as a common basis for regional and multi-regional economic impact analysis. However, subnational IO tables are not made available by national statistical offices, especially in the United States (US), nor have they been estimated with transparent methods for reproducibility or updated regularly for public availability. In this article, we describe a robust StateIO modeling framework to develop state and two-region IO models for all 50 states in the US using national IO tables and state industry and trade data from reliable public sources such as the US Bureau of Economic Analysis. We develop 2012-2017 state IO models and two-region IO models at the BEA summary level. The two regions are state of interest and rest of the US. All models are validated by a series of rigorous checks to ensure the results are balanced at state and national levels. We then use these models to calculate a 2012-2017 time series of macro economic indicators and highlight results for I I states that have distinct economies with respect to size, geography, and industry structure. We also compare selected indicators to state IO models created by popular licensed and open-source software. Our StateIO modeling framework is consolidated in an open-source R package, <i>stateior</i>, to ensure transparency and reproducibility. Our StateIO models are US-focused, which may not be transferrable to international accounts, and form the economic base of state versions of the US environmentally-extended IO models.</p>","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"46 4","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324549/pdf/nihms-1908958.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9805743","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}
Pub Date : 2022-12-19DOI: 10.1177/01600176221145875
Fernanda Alfaro, Dusan Paredes, M. Skidmore
Fiscal stress is a common condition in shrinking cities such as Detroit. Among the contributing factors, property tax delinquency is a significant consideration due to the unwillingness or inability to pay property taxes. The literature shows that improvement in the quality of public goods and services can increase tax compliance and strengthen the social contract between taxpayers and the local government. Nonetheless, this relationship is unclear in the context of low-income shrinking cities. This article estimates the effects of new publicly provided transportation infrastructure on property tax compliance in Detroit, Michigan. Specifically, we use the announcement of the Qline in Detroit. We compute the effects of the Qline announcement on tax delinquency behavior using a Spatial Difference-in-Difference approach. The results indicate that the announcement of the Qline had an economically and statistically significant impact on tax delinquency for properties within one mile of the nearest Qline station.
{"title":"New Public Transportation Infrastructure and Tax Delinquency in Shrinking Cities: The Case of Detroit","authors":"Fernanda Alfaro, Dusan Paredes, M. Skidmore","doi":"10.1177/01600176221145875","DOIUrl":"https://doi.org/10.1177/01600176221145875","url":null,"abstract":"Fiscal stress is a common condition in shrinking cities such as Detroit. Among the contributing factors, property tax delinquency is a significant consideration due to the unwillingness or inability to pay property taxes. The literature shows that improvement in the quality of public goods and services can increase tax compliance and strengthen the social contract between taxpayers and the local government. Nonetheless, this relationship is unclear in the context of low-income shrinking cities. This article estimates the effects of new publicly provided transportation infrastructure on property tax compliance in Detroit, Michigan. Specifically, we use the announcement of the Qline in Detroit. We compute the effects of the Qline announcement on tax delinquency behavior using a Spatial Difference-in-Difference approach. The results indicate that the announcement of the Qline had an economically and statistically significant impact on tax delinquency for properties within one mile of the nearest Qline station.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"46 1","pages":"410 - 427"},"PeriodicalIF":2.3,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48974855","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 : 2022-12-19DOI: 10.1177/01600176221145878
I. S. Tupy, F. F. Silva, G. F. C. Diniz, R. L. Montenegro, Alexandre de Queiroz Stein, Diogo Ferraz
At the beginning of 2020, the world was left in an unprecedented state of shock by the COVID-19 pandemic. Brazil quickly became the epicenter of new cases of contamination, where the propagation of the virus was unrestrained, despite boasting one of the strongest Universal health coverage systems in Latin America. This paper has at least three empirical contributions to the literature about economic resilience and the COVID-19 pandemic. Firstly it is a critical issue regarding the “economics versus life” trade-off, which is an essential question for developing countries, given that policymakers must decide between policies to reduce the number of COVID-19 infections without damaging the economy. Secondly, our findings suggest that the early adoption of isolation measures applied in 2020, such as the financial aid and the vaccination have been effective in controlling the effects of the pandemic, especially in vulnerable microregions. Furthermore, it was verified that the Emergency financial aid was a fundamental policy in minimizing the economic impacts of the pandemic and allowing people to practice social distancing, contributing positively to the Employment Resilience Index and negatively related to the growth rate of deaths due to COVID-19. The contribution of our study is to measure an inverted U-shaped curve to demonstrate that policymakers must achieve a minimum of families to decrease the COVID-19 deaths. These contributions are essential and straightforward findings to lead policymakers' decisions in developing countries facing financial constraints in the public budget and population reticence about physical distancing, self-quarantine and vaccination.
{"title":"Resilient Regions in Brazil: Unfolding the Effects of COVID-19 From a Socioeconomic Perspective","authors":"I. S. Tupy, F. F. Silva, G. F. C. Diniz, R. L. Montenegro, Alexandre de Queiroz Stein, Diogo Ferraz","doi":"10.1177/01600176221145878","DOIUrl":"https://doi.org/10.1177/01600176221145878","url":null,"abstract":"At the beginning of 2020, the world was left in an unprecedented state of shock by the COVID-19 pandemic. Brazil quickly became the epicenter of new cases of contamination, where the propagation of the virus was unrestrained, despite boasting one of the strongest Universal health coverage systems in Latin America. This paper has at least three empirical contributions to the literature about economic resilience and the COVID-19 pandemic. Firstly it is a critical issue regarding the “economics versus life” trade-off, which is an essential question for developing countries, given that policymakers must decide between policies to reduce the number of COVID-19 infections without damaging the economy. Secondly, our findings suggest that the early adoption of isolation measures applied in 2020, such as the financial aid and the vaccination have been effective in controlling the effects of the pandemic, especially in vulnerable microregions. Furthermore, it was verified that the Emergency financial aid was a fundamental policy in minimizing the economic impacts of the pandemic and allowing people to practice social distancing, contributing positively to the Employment Resilience Index and negatively related to the growth rate of deaths due to COVID-19. The contribution of our study is to measure an inverted U-shaped curve to demonstrate that policymakers must achieve a minimum of families to decrease the COVID-19 deaths. These contributions are essential and straightforward findings to lead policymakers' decisions in developing countries facing financial constraints in the public budget and population reticence about physical distancing, self-quarantine and vaccination.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46363102","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 : 2022-12-16DOI: 10.1177/01600176221145883
Arnaud Adam, S. Proost, I. Thomas
Using detailed Global Navigation Satellite System tracing data emitted by all trucks having a gross vehicle weight of over 3.5 tons in Belgium, this paper assesses the efficiency of the current Belgian distance tax system by analyzing its spatial coverage and the matching of the distance taxes with the external costs, globally and locally. Specifically, three research questions are addressed. First, how well do the present charge rates match with external costs? Second, the operationalization of the system requires a good spatial coverage of truck movements. Does the present system guarantee an almost universal coverage? Third, do the distance charges match the external costs? We find that if the distance tax scheme differentiates regionally, it still misses large variations in noise costs. The current tracing infrastructure also captures only part of the truck operations on the territory. If distance tolls for trucks remain the backbone of the taxation of truck operations, it then needs further refinement in time and space if one wants it to be the major tool to correct for the external costs.
{"title":"Does Tolling Per Kilometre Compensate for the External Costs of Trucks? A Geographical Approach for Belgium","authors":"Arnaud Adam, S. Proost, I. Thomas","doi":"10.1177/01600176221145883","DOIUrl":"https://doi.org/10.1177/01600176221145883","url":null,"abstract":"Using detailed Global Navigation Satellite System tracing data emitted by all trucks having a gross vehicle weight of over 3.5 tons in Belgium, this paper assesses the efficiency of the current Belgian distance tax system by analyzing its spatial coverage and the matching of the distance taxes with the external costs, globally and locally. Specifically, three research questions are addressed. First, how well do the present charge rates match with external costs? Second, the operationalization of the system requires a good spatial coverage of truck movements. Does the present system guarantee an almost universal coverage? Third, do the distance charges match the external costs? We find that if the distance tax scheme differentiates regionally, it still misses large variations in noise costs. The current tracing infrastructure also captures only part of the truck operations on the territory. If distance tolls for trucks remain the backbone of the taxation of truck operations, it then needs further refinement in time and space if one wants it to be the major tool to correct for the external costs.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"46 1","pages":"381 - 409"},"PeriodicalIF":2.3,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49329969","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}
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