摘要
随着夜间遥感数据在城市以及社会发展和经济统计领域应用逐渐广泛,其对社会经济数据以及区域经济联系强度的研究作用日益显现.本研究利用回归分析以及修正后重力模型,定量分析夜间灯光数据与社会经济数据之间的关系以及构建研究区域各县级城市经济联系强度.运用研究区的县级行政边界数据构建4种夜间灯光指数与GDP、第二产业GDP 2、第三产业GDP 3以及第二、三产业GDP 23的数学模型,发现两者呈现明显线性关系.结果表明:1)GDP与夜间灯光总强度构建模型精度较高;2)2013-2017年赣南闽西苏区经济联系强度有所增强,但依据存在弱联结以及边缘屏蔽效应;3)赣州市市辖区与周边县市经济联系强度高于龙岩市,但赣州市对处于省际交界区国家级贫困县经济联系弱于龙岩市;4)龙岩市市辖区与所辖县市经济联系强度较小,市辖区对下辖县市经济辐射力较弱,造成龙岩市发展不均衡,经济上呈现“东富西贫”现象.本研究对于基于夜间灯光数据的GDP预测模型有借鉴意义,可以为夜光遥感数据在区域经济学中的应用研究提供技术支持.
With the application of night remote sensing data in urban areas,social development and economic statistics,its role in the study of social and economic data and the strength of regional economic ties are increasingly evident.In this study,regression analysis and modified gravity model were used to quantitatively analyze the relationship between night light data and social and economic data,as well as to construct the economic connection intensity of county-level cities in the research area.Based on the county level administrative boundary data of the research area,the mathematical model of four kinds of night light index and the sum of gross regional product,secondary industry,tertiary industry and secondary industry and tertiary industry were constructed.The results show that:1)The construction model of GDP and total intensity of night light is more accurate;2)From 2013 to 2017,the economic ties in the southern Fujian and western Soviet areas were strengthened,but there were weak connections and edge shielding effects;3)The economic relationship between Ganzhou municipal district and surrounding counties and cities is stronger than that of the Longyan city,but the economic relationship between Ganzhou and national-level poverty-stricken counties in the inter-provincial border area is weaker than that of the Longyan city;4)The economic relationship between the Longyan municipal district and the counties and cities under its jurisdiction is relatively weak,and the economic radiation of Longyan municipal district to the counties and cities under its jurisdiction is relatively weak,resulting in the unbalanced development of the Longyan city and the economic phenomenon of"rich in the east and poor in the west".This study has reference significance for the GDP prediction model based on nighttime imagery,and can provide technical support for the application of noctiluca remote sensing data in regional economics.
作者
李建忠
郑著彬
张润飞
林琳
杨虹
LI Jianzhong;ZHENG ZhuBin;ZHANG Runfei;LIN Lin;YANG Hong(School of Geography and Environmental Engineering,Gannan Normal University,Ganzhou 341000,China;Research Center of Environmental Engineering Technology,Gannan Normal University,Ganzhou 341000,China)
出处
《赣南师范大学学报》
2020年第3期83-90,共8页
Journal of Gannan Normal University
基金
国家自然科学基金项目(41701412)
江西省自然科学基金项目(20171BAB213024)
赣南师范大学大学生创新创业训练项目(CX190003)。
