Rapid economic growth and urbanization has been accompanied by the equally rapid growth of carbon dioxide emissions in China. From the perspective of urban planning, land use, transport, and carbon emissions are involved in a complex process in which they interact with each other. We need to develop a computable urban economic model for sustainable infrastructure planning strategy, which can reflect the interaction among land use, transport, and carbon emissions. Our case study of Changzhou shows that a compact city scenario generates less carbon emissions than an urban sprawl scenario, indicating that a compact urban form can be accepted as a promising solution for developing a low-carbon city.
{"title":"LAND USE, TRANSPORT, AND CARBON EMISSIONS: A COMPUTABLE URBAN ECONOMIC MODEL FOR CHANGZHOU, CHINA","authors":"Runsen Zhang, Kakuya Matsushima, Kiyoshi Kobayashi","doi":"10.1111/RURD.12052","DOIUrl":"https://doi.org/10.1111/RURD.12052","url":null,"abstract":"Rapid economic growth and urbanization has been accompanied by the equally rapid growth of carbon dioxide emissions in China. From the perspective of urban planning, land use, transport, and carbon emissions are involved in a complex process in which they interact with each other. We need to develop a computable urban economic model for sustainable infrastructure planning strategy, which can reflect the interaction among land use, transport, and carbon emissions. Our case study of Changzhou shows that a compact city scenario generates less carbon emissions than an urban sprawl scenario, indicating that a compact urban form can be accepted as a promising solution for developing a low-carbon city.","PeriodicalId":39676,"journal":{"name":"Review of Urban and Regional Development Studies","volume":"38 1","pages":"162-181"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/RURD.12052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63727331","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}
In the housing market, the advertised list price significantly influences the final sale price and the duration a property spends on the market. With the uncertainties and complexities of the housing market, the list price can be a difficult and critical decision for home sellers. This paper develops a theoretical model for an optimal list price strategy with an information learning process to ensure a maximum expected return and a discussion of the ideal vacancy rate. The optimal list price strategy is composed of factors such as the frequency of list price revisions, the best timing to revise the price, and the value of a sequence of list prices and varies according to the market situation, and patience and prior knowledge of the seller. The results of the application in Tokyo 23 wards imply that there is an excess of houses in the sale market and potential for home sellers to improve their list price strategy and the learning process in order to shorten the time a property spends on the market without losing any return.
{"title":"OPTIMAL LIST PRICE AND DURATION OF VACANCY IN THE HOUSING MARKET IN TOKYO","authors":"Jianping Gu, Yasushi Asami","doi":"10.1111/RURD.12053","DOIUrl":"https://doi.org/10.1111/RURD.12053","url":null,"abstract":"In the housing market, the advertised list price significantly influences the final sale price and the duration a property spends on the market. With the uncertainties and complexities of the housing market, the list price can be a difficult and critical decision for home sellers. This paper develops a theoretical model for an optimal list price strategy with an information learning process to ensure a maximum expected return and a discussion of the ideal vacancy rate. The optimal list price strategy is composed of factors such as the frequency of list price revisions, the best timing to revise the price, and the value of a sequence of list prices and varies according to the market situation, and patience and prior knowledge of the seller. The results of the application in Tokyo 23 wards imply that there is an excess of houses in the sale market and potential for home sellers to improve their list price strategy and the learning process in order to shorten the time a property spends on the market without losing any return.","PeriodicalId":39676,"journal":{"name":"Review of Urban and Regional Development Studies","volume":"28 1","pages":"182-201"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/RURD.12053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63727388","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}
Taiwan has high-tech export-oriented industries, such as semiconductors and electronic equipment. The capital city area is home to the main industrial complex and has a major fault line running through it. Three out of four nuclear power stations in Taiwan are located close to the capital. Using a single-country computable general equilibrium model, we simulate a compound disaster consisting of a major earthquake and a power crisis induced by nuclear power shutdown in northern Taiwan to quantify its impact on the Taiwanese economy. Simulation results show that Taiwan's flagship industries, such as semiconductors and electronic equipment, would be severely affected by capital and labor losses in an earthquake but not in a power crisis. This implies that no policy intervention to allocate power to these industries is needed, although we are often tempted to do so in emergencies.
{"title":"COMPUTABLE GENERAL EQUILIBRIUM ASSESSMENT OF A COMPOUND DISASTER IN NORTHERN TAIWAN","authors":"Michael C. Haung, Nobuhiro Hosoe","doi":"10.1111/RURD.12047","DOIUrl":"https://doi.org/10.1111/RURD.12047","url":null,"abstract":"Taiwan has high-tech export-oriented industries, such as semiconductors and electronic equipment. The capital city area is home to the main industrial complex and has a major fault line running through it. Three out of four nuclear power stations in Taiwan are located close to the capital. Using a single-country computable general equilibrium model, we simulate a compound disaster consisting of a major earthquake and a power crisis induced by nuclear power shutdown in northern Taiwan to quantify its impact on the Taiwanese economy. Simulation results show that Taiwan's flagship industries, such as semiconductors and electronic equipment, would be severely affected by capital and labor losses in an earthquake but not in a power crisis. This implies that no policy intervention to allocate power to these industries is needed, although we are often tempted to do so in emergencies.","PeriodicalId":39676,"journal":{"name":"Review of Urban and Regional Development Studies","volume":"28 1","pages":"89-106"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/RURD.12047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63727216","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}
{"title":"DOES REGIONAL INTEGRATION AFFECT EFFICIENCY AND PRODUCTIVITY GROWTH? EMPIRICAL EVIDENCE FROM SOUTH ASIA","authors":"Amirul Islam, Ruhul Salim, H. Bloch","doi":"10.1111/RURD.12048","DOIUrl":"https://doi.org/10.1111/RURD.12048","url":null,"abstract":"","PeriodicalId":39676,"journal":{"name":"Review of Urban and Regional Development Studies","volume":"420 1","pages":"107-122"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/RURD.12048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63727260","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}
The aim of this paper is to identify the determinants of migration within Russia by distinguishing between eastern (Asian) and western (European) regions. Using Russian official data for the observation period 2001–2010, we estimate non-spatial panel and spatial panel lag of X model regressions for migration rates of 78 Russian regions with fixed effects. We apply in-migration, out-migration, and net-migration measures as dependent variables and distinguish between internal and external migration. The results indicate that migrants react to changes in labor demand in eastern regions, while wealth makes western regions attractive. Furthermore, universities hinder out-migration of eastern regions, but the share of tertiary educated persons has no measurable effect.
{"title":"INTERREGIONAL MIGRATION WITHIN RUSSIA AND ITS EAST-WEST DIVIDE: EVIDENCE FROM SPATIAL PANEL REGRESSIONS","authors":"S. Sardadvar, E. Vakulenko","doi":"10.1111/RURD.12050","DOIUrl":"https://doi.org/10.1111/RURD.12050","url":null,"abstract":"The aim of this paper is to identify the determinants of migration within Russia by distinguishing between eastern (Asian) and western (European) regions. Using Russian official data for the observation period 2001–2010, we estimate non-spatial panel and spatial panel lag of X model regressions for migration rates of 78 Russian regions with fixed effects. We apply in-migration, out-migration, and net-migration measures as dependent variables and distinguish between internal and external migration. The results indicate that migrants react to changes in labor demand in eastern regions, while wealth makes western regions attractive. Furthermore, universities hinder out-migration of eastern regions, but the share of tertiary educated persons has no measurable effect.","PeriodicalId":39676,"journal":{"name":"Review of Urban and Regional Development Studies","volume":"28 1","pages":"123-141"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/RURD.12050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63727272","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}
Uneven distribution of economic activity is commonly observed, particularly in the food industry. Generally speaking, the food industry is transportation intensive; therefore, the extent of localization is relatively low. Previous research in China has confirmed this fact; however, analysis was based on aggregate data and discrete measurements that might contain bias. On the basis of microgeographic data, this study evaluates localization of the Chinese food industry using the Duranton–Overman index. Our results indicate that contrary to previous research, the extent of localization in China's food industry is high. Specifically, among 50 four-digit food industries, 21 exhibit localization while 15 are dispersed. The remaining 14 do not deviate significantly from randomness. Yellow wine (C1523) and aquatic products freezing (C1361) are the two most localized industries. A possible rationale for this result is that the location of the food industry follows the distribution of raw material, while the production of raw material is agglomerated in China.
{"title":"TESTING LOCALIZATION OF CHINESE FOOD INDUSTRIES: EVIDENCE FROM MICROGEOGRAPHIC DATA","authors":"Wenchao Wu, Shaosheng Jin, S. Tokunaga","doi":"10.1111/RURD.12055","DOIUrl":"https://doi.org/10.1111/RURD.12055","url":null,"abstract":"Uneven distribution of economic activity is commonly observed, particularly in the food industry. Generally speaking, the food industry is transportation intensive; therefore, the extent of localization is relatively low. Previous research in China has confirmed this fact; however, analysis was based on aggregate data and discrete measurements that might contain bias. On the basis of microgeographic data, this study evaluates localization of the Chinese food industry using the Duranton–Overman index. Our results indicate that contrary to previous research, the extent of localization in China's food industry is high. Specifically, among 50 four-digit food industries, 21 exhibit localization while 15 are dispersed. The remaining 14 do not deviate significantly from randomness. Yellow wine (C1523) and aquatic products freezing (C1361) are the two most localized industries. A possible rationale for this result is that the location of the food industry follows the distribution of raw material, while the production of raw material is agglomerated in China.","PeriodicalId":39676,"journal":{"name":"Review of Urban and Regional Development Studies","volume":"28 1","pages":"202-217"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/RURD.12055","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63727463","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}
{"title":"SPATIO-FUNCTIONAL DETERMINANTS OF SMALL TOWNS: A CASE STUDY OF SELECTED INDIAN SMALL TOWNS","authors":"Ashfaque Alam, B. Choudhury","doi":"10.1111/RURD.12046","DOIUrl":"https://doi.org/10.1111/RURD.12046","url":null,"abstract":"","PeriodicalId":39676,"journal":{"name":"Review of Urban and Regional Development Studies","volume":"28 1","pages":"75-88"},"PeriodicalIF":0.0,"publicationDate":"2016-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/RURD.12046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63727173","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}
In recent years, there has been renewed emphasis on efficiency in resource utilization in the healthcare sector. Most studies in the Indian context have focused on state level analysis. This paper explores sub-state level health system efficiency in Orissa, a low-income state in India. Our analysis estimates the efficiency of the healthcare system at sub-state level using 2012 district level data. We explore the reasons for relative performance of different districts using a frontier estimation technique. There is a substantial difference in performance between the most efficient district of Jharsuguda and the least efficient district of Balangir, resulting from inadequate utilization of available health care resources. Our study also identifies complementarity of private health care resources and the role of other factors, such as sanitation facilities, village electrification, and rural population growth. Our results suggest a need for better utilization of budgetary resources, both under the state department of health and the National Rural Health Mission, to increase health manpower and improve quality through training and better management resources in order to improve district health systems in Orissa.
{"title":"HEALTH CARE SYSTEM EFFICIENCY: A SUB-STATE LEVEL ANALYSIS FOR ORISSA (INDIA)","authors":"B. C. Purohit","doi":"10.1111/RURD.12044","DOIUrl":"https://doi.org/10.1111/RURD.12044","url":null,"abstract":"In recent years, there has been renewed emphasis on efficiency in resource utilization in the healthcare sector. Most studies in the Indian context have focused on state level analysis. This paper explores sub-state level health system efficiency in Orissa, a low-income state in India. Our analysis estimates the efficiency of the healthcare system at sub-state level using 2012 district level data. We explore the reasons for relative performance of different districts using a frontier estimation technique. There is a substantial difference in performance between the most efficient district of Jharsuguda and the least efficient district of Balangir, resulting from inadequate utilization of available health care resources. Our study also identifies complementarity of private health care resources and the role of other factors, such as sanitation facilities, village electrification, and rural population growth. Our results suggest a need for better utilization of budgetary resources, both under the state department of health and the National Rural Health Mission, to increase health manpower and improve quality through training and better management resources in order to improve district health systems in Orissa.","PeriodicalId":39676,"journal":{"name":"Review of Urban and Regional Development Studies","volume":"28 1","pages":"55-74"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/RURD.12044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63727127","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}
Human capital is a major driver of regional growth and provides insight into degrees of regional disparity (Barro & Lee 1993). Addressing these disparities is crucial to economic stability and cohesion in Turkey; therefore, we investigated the regional distribution of human capital and its evolution between 2008 and 2012. We used district level address-based population registration system data from 957 districts to analyze regional human capital disparities and report significant results. Specifically, regional disparities in human capital are decreasing in Turkey, but enormous regional district level disparities persist. A disparity exists between the western and eastern regions in human capital at both primary and secondary educational levels. However, this east–west dualism almost disappears with regard to human capital at the tertiary educational level, which is heavily concentrated in Turkey's major cities (Istanbul, Ankara, Izmir, Kocaeli, and Bursa).
人力资本是区域增长的主要驱动力，并提供了对区域差异程度的洞察(Barro & Lee 1993)。解决这些差异对土耳其的经济稳定和凝聚力至关重要;因此，我们对2008 - 2012年人力资本的区域分布及其演变进行了研究。我们使用来自957个县的区级基于地址的人口登记系统数据来分析区域人力资本差异，并报告了显著的结果。具体而言，土耳其人力资本的地区差异正在缩小，但巨大的地区差异仍然存在。在初等教育和中等教育水平上，西部和东部地区的人力资本都存在差距。然而，在高等教育水平的人力资本方面，这种东西二元论几乎消失了，高等教育主要集中在土耳其的主要城市(伊斯坦布尔、安卡拉、伊兹密尔、科恰埃利和布尔萨)。
{"title":"REGIONAL HUMAN CAPITAL DISTRIBUTION AND DISPARITIES IN TURKEY","authors":"U. Erdem","doi":"10.1111/RURD.12043","DOIUrl":"https://doi.org/10.1111/RURD.12043","url":null,"abstract":"Human capital is a major driver of regional growth and provides insight into degrees of regional disparity (Barro & Lee 1993). Addressing these disparities is crucial to economic stability and cohesion in Turkey; therefore, we investigated the regional distribution of human capital and its evolution between 2008 and 2012. We used district level address-based population registration system data from 957 districts to analyze regional human capital disparities and report significant results. Specifically, regional disparities in human capital are decreasing in Turkey, but enormous regional district level disparities persist. A disparity exists between the western and eastern regions in human capital at both primary and secondary educational levels. However, this east–west dualism almost disappears with regard to human capital at the tertiary educational level, which is heavily concentrated in Turkey's major cities (Istanbul, Ankara, Izmir, Kocaeli, and Bursa).","PeriodicalId":39676,"journal":{"name":"Review of Urban and Regional Development Studies","volume":"28 1","pages":"16-31"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/RURD.12043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63727116","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}
This paper investigates the dynamics of agricultural production volatility spillovers between Bangladesh, India, and Pakistan. These countries were selected because of their agricultural economic importance to the South Asian region. This study uses per capita agricultural production data for the period 1961–2012, obtained from the Food and Agriculture Organization of the United Nations (FAO) statistical database, to construct and estimate a multivariate generalized autoregressive conditional heteroskedasticity (MGARCH) model. The MGARCH model is estimated utilizing the maximum likelihood method. Volatility impulse response functions are also applied to quantify the effects of independent shocks on expected conditional volatility. The model provides good statistical fit and the empirical results indicate significant cross-country per capita agricultural production volatility spillovers among these countries.
{"title":"Investigating The Interdependency Of Agricultural Production Volatility Spillovers Between Bangladesh, India, And Pakistan","authors":"A. Rezitis, S. Ahammad","doi":"10.1111/RURD.12045","DOIUrl":"https://doi.org/10.1111/RURD.12045","url":null,"abstract":"This paper investigates the dynamics of agricultural production volatility spillovers between Bangladesh, India, and Pakistan. These countries were selected because of their agricultural economic importance to the South Asian region. This study uses per capita agricultural production data for the period 1961–2012, obtained from the Food and Agriculture Organization of the United Nations (FAO) statistical database, to construct and estimate a multivariate generalized autoregressive conditional heteroskedasticity (MGARCH) model. The MGARCH model is estimated utilizing the maximum likelihood method. Volatility impulse response functions are also applied to quantify the effects of independent shocks on expected conditional volatility. The model provides good statistical fit and the empirical results indicate significant cross-country per capita agricultural production volatility spillovers among these countries.","PeriodicalId":39676,"journal":{"name":"Review of Urban and Regional Development Studies","volume":"28 1","pages":"32-54"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/RURD.12045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"63727160","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：