“一带一路”关键节点区域-经济数据（人均GDP、GDP增长率、三产占比、国民基尼指数、恩格尔系数等）（2015）

“一带一路”沿线的34个关键节点经济数据（人均GDP、GDP增长率、三产占比、国民基尼指数、恩格尔系数等）是从互联网收集并降尺度而来。首先收集到国家尺度或省级尺度的人均GDP、GDP增长率、三产占比、国民基尼指数、恩格尔系数等经济数据的统计数据，采用GIS空间分析技术与统计学方法，分析这些经济数据分别与夜间灯光NPP-VIIRSS、路网密度等协变量的关系，运用空间回归分析方法建立了经济数据分别与协变量的空间回归模型，得到县级尺度的人均GDP、GDP增长率、三产占比、国民基尼指数、恩格尔系数，实现了经济数据的降尺度模拟。基于统计资料和空间分析最终整合成经济数据。该经济数据（人均GDP、GDP增长率、三产占比、国民基尼指数、恩格尔系数等）可为“一带一路”沿线关键节点和区域开展社会经济等研究提供重要的基础数据。

The economic data covering 34 key nodes along the Belt and Road Initiative (BRI), including per capita GDP, GDP growth rate, proportion of tertiary industry in GDP, national Gini coefficient, Engel's coefficient, and other relevant indicators, was collected from publicly available internet sources and processed through downscaling. First, statistical economic data at the national or provincial scale, including the aforementioned indicators, was gathered. Subsequently, GIS spatial analysis techniques and statistical methods were employed to analyze the correlations between these economic indicators and covariates such as NPP-VIIRS nighttime light data and road network density. Spatial regression models were then established for each economic indicator and its corresponding covariates, and county-scale values of per capita GDP, GDP growth rate, proportion of tertiary industry in GDP, national Gini coefficient, and Engel's coefficient were derived to complete the downscaling simulation of the economic data. Ultimately, the final standardized economic dataset was compiled based on the collected statistical materials and spatial analysis results. This dataset can provide critical basic data for socio-economic and related research on key nodes and regions along the BRI.

搜集汇总

背景与挑战

背景概述

该数据集包含2015年“一带一路”沿线34个关键节点的经济数据，如人均GDP、GDP增长率等，通过GIS和统计学方法从国家或省级尺度降尺度至县级尺度。数据以矢量形式提供，适用于ArcGIS分析，共享方式为开放获取。