With the method of dynamic programming, two spatial variables,the expected utility and the probability of success of each crime, are used to model the criminal's location choices in urban areas in this paper.The m...With the method of dynamic programming, two spatial variables,the expected utility and the probability of success of each crime, are used to model the criminal's location choices in urban areas in this paper.The modeling results show that a criminal optimizes his crime locations according to the expected utility and the success probability during his planned period A criminal usually commits his first offense in the district that has the highest probability of success but a lower expected utility, and commits his last crime in the district where the expected utility is the highest and success probability is lower.If a location has both an expected utility and a higher probability of success, the criminal might commit all his offenses in thes place. The model also suggests that crime prevention measures should be adopted in accordance with local conditions. 'Covering' measures, such as patrolling, should be taken in the poor residential districts or juvenile delinquency districts, while more sophisticated and advanced measures should be introduced in the richer districts or the districts where professional criminals haunt.展开更多
Inward foreign direct investment （FDI） is expected to grow further by virtue of economic globalization. A thorough understanding of the locational determinants of inward FDI will be conducive to enhanced efficiency ...Inward foreign direct investment （FDI） is expected to grow further by virtue of economic globalization. A thorough understanding of the locational determinants of inward FDI will be conducive to enhanced efficiency in attracting direct and SOC-related investments from foreign entities. This study analyzes 51 cases of inward direct foreign investment made in the Incheon free economic zone （IFEZ） from 2002 to 2009 to determine the factors influencing FDI volume, the relevance of locations and the correlation between investment size and location. First, the relationship between the loeational determinants of FDI and the total investment size （total expected project cost） is analyzed. Second, the relationship between the locational determinants of FDI and the FDI is analyzed. Third, the relationship between the locational determinants of FDI and the location choice is analyzed. The results indicate the determinants that influence locations and investment size of FDI entities; whether these factors exercise influence in the zone; and the factors that have relatively significant effects. Ultimately, based on the analytical findings, a few implications for policy and practice are derived.展开更多
The inner-urban residential location choice is a topic of continuing interest in urban geography.However,not much research has been done on migrants’rental location choices.Based on data from a questionnaire complete...The inner-urban residential location choice is a topic of continuing interest in urban geography.However,not much research has been done on migrants’rental location choices.Based on data from a questionnaire completed by 276 migrant renters in Guangzhou,this paper analyzes the demographics and social class characteristics of migrants,and the condition and location of housing preferred by this population.The results show that the migrants in Guangzhou mainly rent in the Center Business District(CBD)area(Tianhe District)and Huangpu,Panyu and Haizhu districts.The main reason for this choice of location choices is the houses’convenience to their workplaces.A second reason is that nearby subways make travel convenient,for consumption and daily life,for children to go to school,and for access to large shopping centers/malls.展开更多
Using a New Economic Geography OVEG） model, this paper investigates the effect of market potential, natural resource endowment and tax burden on the location distribution of industrial enterprises in China. By applyi...Using a New Economic Geography OVEG） model, this paper investigates the effect of market potential, natural resource endowment and tax burden on the location distribution of industrial enterprises in China. By applying data from 2000 to 2010 of 286 Chinese cities, this paper conducts an empirical analysis on the location of industrial enterprises of different time periods, regions and ownership systems. The results indicate that greater domestic market potential and international market demand are favorable to fostering or introduction of new enterprises. It also shows that coastal cities with better resource endowment are more attractive to corporate investment, while cities in interior regions have heavy and highly differentiated industrial tax burdens, which is unfavorable to the attraction of enterprises. In comparison, infrastructure and wage of cities have no obvious effect on enterprises＇ location choice. When it comes to enterprises of different ownership, domestic market potential and international market demand all have significant positive effects on the location distribution of foreign-funded enterprises, private enterprises and enterprises with investment from Hong Kong, Macao and Taiwan, while the level of urban industrial tax burden has an opposite effect. We find that the NEG model has a relatively strong explanatory power to the location of industrial enterprises in China.展开更多
First of all, the necessity of establishing financial centres is expounded. The establishment of financial centres has a lot of benefits to the world economic development, China’s economy and the occupied cities. The...First of all, the necessity of establishing financial centres is expounded. The establishment of financial centres has a lot of benefits to the world economic development, China’s economy and the occupied cities. The location conditions of financial centres may be summarized as follows: the location of trade centre, the factors of geographical position, the circumstances of finance, etc.. We consider that the first batch of financial centres in China should be established in the eastern cities of China. So 9 eastern cities in China are chosen as the spare financial centres. According to the location conditions of financial centres, 12 indices are chosen and the method of synthetic weighted average is used to find the best locations of financial centres. The conclusions are that the grade A financial centres should be in Shanghai and the grade B should be in Tianjin and Guangzhou.展开更多
文摘With the method of dynamic programming, two spatial variables,the expected utility and the probability of success of each crime, are used to model the criminal's location choices in urban areas in this paper.The modeling results show that a criminal optimizes his crime locations according to the expected utility and the success probability during his planned period A criminal usually commits his first offense in the district that has the highest probability of success but a lower expected utility, and commits his last crime in the district where the expected utility is the highest and success probability is lower.If a location has both an expected utility and a higher probability of success, the criminal might commit all his offenses in thes place. The model also suggests that crime prevention measures should be adopted in accordance with local conditions. 'Covering' measures, such as patrolling, should be taken in the poor residential districts or juvenile delinquency districts, while more sophisticated and advanced measures should be introduced in the richer districts or the districts where professional criminals haunt.
文摘Inward foreign direct investment （FDI） is expected to grow further by virtue of economic globalization. A thorough understanding of the locational determinants of inward FDI will be conducive to enhanced efficiency in attracting direct and SOC-related investments from foreign entities. This study analyzes 51 cases of inward direct foreign investment made in the Incheon free economic zone （IFEZ） from 2002 to 2009 to determine the factors influencing FDI volume, the relevance of locations and the correlation between investment size and location. First, the relationship between the loeational determinants of FDI and the total investment size （total expected project cost） is analyzed. Second, the relationship between the locational determinants of FDI and the FDI is analyzed. Third, the relationship between the locational determinants of FDI and the location choice is analyzed. The results indicate the determinants that influence locations and investment size of FDI entities; whether these factors exercise influence in the zone; and the factors that have relatively significant effects. Ultimately, based on the analytical findings, a few implications for policy and practice are derived.
基金funded by the National Natural Science Foundation of China(No.41871150,No.42001130)GDAS Special Project of Science and Technology Development(No.2020GDASYL-20200104001)+1 种基金National Key Research and Development Program(No.2019YFB2103101)Special Project of the Institute of Strategy Research for Guangdong,Hong Kong,and Macao Greater Bay Area Construction(No.2021GDASYL-20210401001).
文摘The inner-urban residential location choice is a topic of continuing interest in urban geography.However,not much research has been done on migrants’rental location choices.Based on data from a questionnaire completed by 276 migrant renters in Guangzhou,this paper analyzes the demographics and social class characteristics of migrants,and the condition and location of housing preferred by this population.The results show that the migrants in Guangzhou mainly rent in the Center Business District(CBD)area(Tianhe District)and Huangpu,Panyu and Haizhu districts.The main reason for this choice of location choices is the houses’convenience to their workplaces.A second reason is that nearby subways make travel convenient,for consumption and daily life,for children to go to school,and for access to large shopping centers/malls.
文摘Using a New Economic Geography OVEG） model, this paper investigates the effect of market potential, natural resource endowment and tax burden on the location distribution of industrial enterprises in China. By applying data from 2000 to 2010 of 286 Chinese cities, this paper conducts an empirical analysis on the location of industrial enterprises of different time periods, regions and ownership systems. The results indicate that greater domestic market potential and international market demand are favorable to fostering or introduction of new enterprises. It also shows that coastal cities with better resource endowment are more attractive to corporate investment, while cities in interior regions have heavy and highly differentiated industrial tax burdens, which is unfavorable to the attraction of enterprises. In comparison, infrastructure and wage of cities have no obvious effect on enterprises＇ location choice. When it comes to enterprises of different ownership, domestic market potential and international market demand all have significant positive effects on the location distribution of foreign-funded enterprises, private enterprises and enterprises with investment from Hong Kong, Macao and Taiwan, while the level of urban industrial tax burden has an opposite effect. We find that the NEG model has a relatively strong explanatory power to the location of industrial enterprises in China.
文摘First of all, the necessity of establishing financial centres is expounded. The establishment of financial centres has a lot of benefits to the world economic development, China’s economy and the occupied cities. The location conditions of financial centres may be summarized as follows: the location of trade centre, the factors of geographical position, the circumstances of finance, etc.. We consider that the first batch of financial centres in China should be established in the eastern cities of China. So 9 eastern cities in China are chosen as the spare financial centres. According to the location conditions of financial centres, 12 indices are chosen and the method of synthetic weighted average is used to find the best locations of financial centres. The conclusions are that the grade A financial centres should be in Shanghai and the grade B should be in Tianjin and Guangzhou.
