{"title":"基于DMSP-OLS影像的中国边境地区经济增长时空动态估算","authors":"Minho Kim, 상명대학교 공간환경학부","doi":"10.16879/jkca.2019.19.2.065","DOIUrl":null,"url":null,"abstract":"China has opened its doors to foreign countries from late 1970s, and it has experienced tremendous economic growth in recent years. Meanwhile, an economic-development gap between regions has emerged to be a socio-economic issue in the nation. This research investigated the spatio-temporal dynamics of economic growth, associated with Chinese border regions, using DMSP-OLS time-series imagery at the scales of neighboring countries, zones and cities. To do this, the sum of lights was calculated from the satellite images with inter-calibration, intra-annual calibration, and inter-annual calibration. In addition, subsequent spatio-temporal analyses were made on the basis of coefficient of variation, annual average growth rate, compound annual growth rate and SOL-weighted centroids. This study found the decrease of economic growth gap between border zones. On the contrary, it was also revealed that unequal city-level growth in economy still remains in border regions of China. Such a socio-economic problem might be influenced by geopolitical relationship between the nation and neighboring countries. Both DMSP-OLS and SNPP-VIIRS DNB nighttime imagery would need to be incorporated in future research for making spatio-temporal analysis spanned to the most recent year.","PeriodicalId":132041,"journal":{"name":"Journal of the Korean Cartographic Association","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Spatio-temporal Dynamics Estimation of Economic Growth in Border Regions, China, using DMSP-OLS imagery\",\"authors\":\"Minho Kim, 상명대학교 공간환경학부\",\"doi\":\"10.16879/jkca.2019.19.2.065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"China has opened its doors to foreign countries from late 1970s, and it has experienced tremendous economic growth in recent years. Meanwhile, an economic-development gap between regions has emerged to be a socio-economic issue in the nation. This research investigated the spatio-temporal dynamics of economic growth, associated with Chinese border regions, using DMSP-OLS time-series imagery at the scales of neighboring countries, zones and cities. To do this, the sum of lights was calculated from the satellite images with inter-calibration, intra-annual calibration, and inter-annual calibration. In addition, subsequent spatio-temporal analyses were made on the basis of coefficient of variation, annual average growth rate, compound annual growth rate and SOL-weighted centroids. This study found the decrease of economic growth gap between border zones. On the contrary, it was also revealed that unequal city-level growth in economy still remains in border regions of China. Such a socio-economic problem might be influenced by geopolitical relationship between the nation and neighboring countries. Both DMSP-OLS and SNPP-VIIRS DNB nighttime imagery would need to be incorporated in future research for making spatio-temporal analysis spanned to the most recent year.\",\"PeriodicalId\":132041,\"journal\":{\"name\":\"Journal of the Korean Cartographic Association\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Korean Cartographic Association\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.16879/jkca.2019.19.2.065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Korean Cartographic Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.16879/jkca.2019.19.2.065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Spatio-temporal Dynamics Estimation of Economic Growth in Border Regions, China, using DMSP-OLS imagery
China has opened its doors to foreign countries from late 1970s, and it has experienced tremendous economic growth in recent years. Meanwhile, an economic-development gap between regions has emerged to be a socio-economic issue in the nation. This research investigated the spatio-temporal dynamics of economic growth, associated with Chinese border regions, using DMSP-OLS time-series imagery at the scales of neighboring countries, zones and cities. To do this, the sum of lights was calculated from the satellite images with inter-calibration, intra-annual calibration, and inter-annual calibration. In addition, subsequent spatio-temporal analyses were made on the basis of coefficient of variation, annual average growth rate, compound annual growth rate and SOL-weighted centroids. This study found the decrease of economic growth gap between border zones. On the contrary, it was also revealed that unequal city-level growth in economy still remains in border regions of China. Such a socio-economic problem might be influenced by geopolitical relationship between the nation and neighboring countries. Both DMSP-OLS and SNPP-VIIRS DNB nighttime imagery would need to be incorporated in future research for making spatio-temporal analysis spanned to the most recent year.