This paper empirically examines variations and changes in manufacturing concentration and their determinants in China over the 1980-2003 period with a sample of 26 industries. The analysis indicates that average indus...This paper empirically examines variations and changes in manufacturing concentration and their determinants in China over the 1980-2003 period with a sample of 26 industries. The analysis indicates that average industrial concentration has increased during the 1990s. Studies show that scale economies and industry policies are important determinants for industries geographical concentration; factor endowments and the location of foreign direct investment are also found to have a positive effect on concentration.展开更多
The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration rat...The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration ratio are used in this paper.Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration.The results show that:1) the manufacturing agglomeration degree of Jilin Province is increasing gradually.The spatial polarization structure is visible;and the central region is the agglomeration area,in addition,the manufacturing industries of Changchun Proper present a trend of dispersion;2) the structure of manufacturing industries has changed,and the concentration ratio of labor-intensive manufacturing industry is declining,while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising;3) marketing level,location accessibility,labor resources,capital,science and technology innovation capability,scale economy and the level of globalization affect manufacturing agglomeration with different degree.There are significant differences of the effects about employment,technology,the quality of residents and the export-oriented market on the industrial concentration ratio;4) in the future,the impact of policy and institution,export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound.展开更多
Geographic concentration of industries is the regional- ized distribution of some industries in certain areas, which focuses on the ratio of a certain industry to the whole industries (He and Liu, 2006). In this paper...Geographic concentration of industries is the regional- ized distribution of some industries in certain areas, which focuses on the ratio of a certain industry to the whole industries (He and Liu, 2006). In this paper we explore the improved M function of geographic concentration that adds the parameter of the number of firms according to the definition of geographic concentration of industries. The spatial distribution of the main manufacturing industries of Lanzhou urban area is evaluated based on it. The results of the evaluation imply that the spatial distribution of the main manufacturing industries is more concentrated than that of others in Lanzhou and it can absorb lots of labor forces. But the incidence, competition ability and density of the distribution of enterprises are different for each single sector, and enterprises with different production features are located closely. And three main problems are discovered. Finally, three countermeasures are put forward: locating the industrial enterprises in urban areas in a proper way through planning and policies; adjusting the industrial structure of the inner city; strengthening the local rearrangement of the existing industrial concentration areas.展开更多
On the basis of analyzing yearly data and spatial relationships between tourism spots, star hotels and travel agencies of Hainan Province, and comparing all the methods of measuring industrial spatial agglomeration, t...On the basis of analyzing yearly data and spatial relationships between tourism spots, star hotels and travel agencies of Hainan Province, and comparing all the methods of measuring industrial spatial agglomeration, this paper chose Hefindahl index, Location Quotient, nearest neighbor index, spatial connection index and geographic concentration index to measure Hainan tourism agglomeration. By applying these methods, total tourism agglomeration, agglomeration of tourism factors and regional agglomeration differences were studied. The results showed that the overall agglomeration increases as time flows, and the eastern part is the most agglomerated, the west takes the second, with the middle ranking the least. The large-scale agglomeration regions are Sanya and Haikou. The influencing factors of Hainan tourism spatial agglomeration were concluded as tourism resource endowment, industrial attributes, geographic conditions, governmental policies and the overall economic development level, etc. In addition, the paper proposed tourism spatial agglomeration modes of Hainan Province at various spatial scales.展开更多
The present article describes and comments the data of the particle broadcasts(PM_(10) and PM_(2.5))inventoried by the industrial sites for the years 2014 has 2018 and the evolutionary tendencies of the air pollution ...The present article describes and comments the data of the particle broadcasts(PM_(10) and PM_(2.5))inventoried by the industrial sites for the years 2014 has 2018 and the evolutionary tendencies of the air pollution observed at the level of the industrial stations of the stationary measures in the city of Dakar.Two approaches have been used for the realization of these works:the inventory of the particle broadcasts by the industrial and the campaigns of the measurements,has different periods of the year,by stations of surveillance of the quality of the air of the CGQA situated in the region of Dakar.The obtained results showed a real impact of the industry dismissals on the pollution in the region of Dakar but also of the variation of the particulate pollution to the level of the city.The sector of the energy is the main issuing source of atmospheric particles(PM_(10))in 2014 with dismissals to height of 58%.Concerning the cartographic representation the region is submitted to strong person concentrations going until 3000 kg/year of broadcasts.The extrapolation of concentration measure in PM_(10) shows a strong concentration in the West part of the city of Dakar with concentrations middle yearly passing 250μg/m^(3).During the whole period of 2015 to 2018,the level of yearly middle concentrations passed the 100 ug/m^(3) and the maxima concentrations were greater than 550μg/m^(3).The evolutionary tendency of concentration of the PM_(2.5) also follows those of the PM_(10).These cartographies permitted us to identify the geographical zones spatially or the concentrations are most elevated.However,of the indicators and the levels,relative to the population potentially exposed to overtakings of the yearly value limits are reached also.展开更多
文摘This paper empirically examines variations and changes in manufacturing concentration and their determinants in China over the 1980-2003 period with a sample of 26 industries. The analysis indicates that average industrial concentration has increased during the 1990s. Studies show that scale economies and industry policies are important determinants for industries geographical concentration; factor endowments and the location of foreign direct investment are also found to have a positive effect on concentration.
基金Under the auspices of National Natural Science Foundation of China(No.41371135)Science and Technology Guide Plan Soft Science Project of Jilin Province(No.20120635)
文摘The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration ratio are used in this paper.Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration.The results show that:1) the manufacturing agglomeration degree of Jilin Province is increasing gradually.The spatial polarization structure is visible;and the central region is the agglomeration area,in addition,the manufacturing industries of Changchun Proper present a trend of dispersion;2) the structure of manufacturing industries has changed,and the concentration ratio of labor-intensive manufacturing industry is declining,while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising;3) marketing level,location accessibility,labor resources,capital,science and technology innovation capability,scale economy and the level of globalization affect manufacturing agglomeration with different degree.There are significant differences of the effects about employment,technology,the quality of residents and the export-oriented market on the industrial concentration ratio;4) in the future,the impact of policy and institution,export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound.
文摘Geographic concentration of industries is the regional- ized distribution of some industries in certain areas, which focuses on the ratio of a certain industry to the whole industries (He and Liu, 2006). In this paper we explore the improved M function of geographic concentration that adds the parameter of the number of firms according to the definition of geographic concentration of industries. The spatial distribution of the main manufacturing industries of Lanzhou urban area is evaluated based on it. The results of the evaluation imply that the spatial distribution of the main manufacturing industries is more concentrated than that of others in Lanzhou and it can absorb lots of labor forces. But the incidence, competition ability and density of the distribution of enterprises are different for each single sector, and enterprises with different production features are located closely. And three main problems are discovered. Finally, three countermeasures are put forward: locating the industrial enterprises in urban areas in a proper way through planning and policies; adjusting the industrial structure of the inner city; strengthening the local rearrangement of the existing industrial concentration areas.
基金Sponsored by National Natural Science Foundation of China(51309134)Research Starting Funds for Imported TalentsNingxia University(BQD2012011)
文摘On the basis of analyzing yearly data and spatial relationships between tourism spots, star hotels and travel agencies of Hainan Province, and comparing all the methods of measuring industrial spatial agglomeration, this paper chose Hefindahl index, Location Quotient, nearest neighbor index, spatial connection index and geographic concentration index to measure Hainan tourism agglomeration. By applying these methods, total tourism agglomeration, agglomeration of tourism factors and regional agglomeration differences were studied. The results showed that the overall agglomeration increases as time flows, and the eastern part is the most agglomerated, the west takes the second, with the middle ranking the least. The large-scale agglomeration regions are Sanya and Haikou. The influencing factors of Hainan tourism spatial agglomeration were concluded as tourism resource endowment, industrial attributes, geographic conditions, governmental policies and the overall economic development level, etc. In addition, the paper proposed tourism spatial agglomeration modes of Hainan Province at various spatial scales.
文摘The present article describes and comments the data of the particle broadcasts(PM_(10) and PM_(2.5))inventoried by the industrial sites for the years 2014 has 2018 and the evolutionary tendencies of the air pollution observed at the level of the industrial stations of the stationary measures in the city of Dakar.Two approaches have been used for the realization of these works:the inventory of the particle broadcasts by the industrial and the campaigns of the measurements,has different periods of the year,by stations of surveillance of the quality of the air of the CGQA situated in the region of Dakar.The obtained results showed a real impact of the industry dismissals on the pollution in the region of Dakar but also of the variation of the particulate pollution to the level of the city.The sector of the energy is the main issuing source of atmospheric particles(PM_(10))in 2014 with dismissals to height of 58%.Concerning the cartographic representation the region is submitted to strong person concentrations going until 3000 kg/year of broadcasts.The extrapolation of concentration measure in PM_(10) shows a strong concentration in the West part of the city of Dakar with concentrations middle yearly passing 250μg/m^(3).During the whole period of 2015 to 2018,the level of yearly middle concentrations passed the 100 ug/m^(3) and the maxima concentrations were greater than 550μg/m^(3).The evolutionary tendency of concentration of the PM_(2.5) also follows those of the PM_(10).These cartographies permitted us to identify the geographical zones spatially or the concentrations are most elevated.However,of the indicators and the levels,relative to the population potentially exposed to overtakings of the yearly value limits are reached also.
