江西省典型县域经济差异影响因子地理探测研究

doi:10.12082/dqxxkx.2018.170375

地球信息科学学报 ›› 2018, Vol. 20 ›› Issue (1): 79-88.doi: 10.12082/dqxxkx.2018.170375

• 地理空间分析综合应用 • 上一篇下一篇

江西省典型县域经济差异影响因子地理探测研究

杨丰硕^1,²(), 杨晓梅^1,^*(), 王志华^1,², 齐文娟^1,², 李治^2,³, 孟樊¹

1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101
2. 中国科学院大学,北京 100049
3. 中国科学院新疆生态与地理研究所,乌鲁木齐 830011

收稿日期:2017-08-10 修回日期:2017-09-26 出版日期:2018-01-20 发布日期:2018-01-20
通讯作者: 杨晓梅 E-mail:yangfs@lreis.ac.cn;yangxm@lreis.ac.cn
作者简介:
作者简介：杨丰硕（1991-）,女,博士生,研究方向为中高分辨率遥感影像解译与分析。E-mail: yangfs@lreis.ac.cn
基金资助:
国家重点研发计划项目（2016YFB0501404）;国家自然科学基金项目（41671436）;江西省科技计划项目（2015ACF60025）

Geographic Detection of Impact Factors of Economic Differences among Typical Counties in Jiangxi Province

YANG Fengshuo^1,²(), YANG Xiaomei^1,^*(), WANG Zhihua^1,², QI Wenjuan^1,², LI Zhi^2,³, MENG Fan¹

1. State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China

Received:2017-08-10 Revised:2017-09-26 Online:2018-01-20 Published:2018-01-20
Contact: YANG Xiaomei E-mail:yangfs@lreis.ac.cn;yangxm@lreis.ac.cn
Supported by:
National Key Research and Development Program of China, No.2016YFB0501404;The Natural Science Foundation of China, No.41671436;Science and Technology Project of Jiangxi Province, No.2015ACF60025.

摘要/Abstract

摘要：

地理环境因子对区域经济差异的影响一直是国内外学者关注的重点及热点问题,探究各因子对区域经济差异的影响力,科学揭示各因子的作用机制,将为区域经济发展战略的制定提供重要指导依据。本文利用多元回归和地理探测器等方法,综合探测了地形、地貌、土地利用、交通区位等因子对江西典型贫困县及富裕县县域经济差异的影响,深入对比分析了各因子的影响力、交互作用及指示作用,总结主导影响因子及其在2类县域的演变趋势,提出分类精准施策的建议,进一步深化了对该问题的研究。结果表明：① 所选的9个地理环境因子均对贫困县及富裕县县域经济产生影响,不同类型县域的主导影响因子及不同因子对同一类型县域的影响力均存在差异;② 从主导影响因子来看,贫困县主要受自然条件、地理区位的影响,而富裕县主要受资源丰度、交通区位的影响;③ 对比2种县域经济差异的显著影响因子,发现由贫困地区到富裕地区主导影响因素逐步由自然禀赋等不可控因素向交通、技术等可控因素变化;④ 经济发展过程中,应根据区域经济主导影响因子因地制宜,分类精准施策。同时,利用影响因子的强交互作用性,注重对该类因子的改善,对促进经济发展可起到事半功倍的效果。

关键词: 县域经济差异, 影响力, 地理探测器, 地理环境因子, 江西省

Abstract:

The influence of geographical environmental factors on regional economic disparity has always been the focus and hot issue of scholars at home and abroad. Detecting the influence of each factor on regional economic disparity and scientifically revealing the mechanism of each factor will provide important guidance for the formulation of regional economic development strategy. Although there are many studies on that question, the previous studies were lacked of contrastive analysis of impact factors between poor counties and affluent counties in Jiangxi Province and also ignored the interactive and combined influence. To solve these problems, using multiple regression and the geographic detector, we synthetically detected the influence of terrain, landform, land use, traffic location and other factors on economic differences among typical poor counties and affluent counties in Jiangxi Province and analyzed the influence, interaction and instruction of various factors. The results show that: (1) The 9 selected geographical environment factors all have an impact on the economy of poor counties and affluent counties, and different factors have different influence and the dominant factors are also different between the two types of countries. (2) Poor counties are mainly affected by natural conditions and geographical location and affluent counties are mainly affected by resource abundance and traffic location. (3) Comparing the dominant factors between the two types of counties, we find that from the needy areas to the affluent areas, dominant factors gradually change from natural endowments and other uncontrollable factors to traffic, technology and other controllable factors. (4) According to the dominant factors of regional economic disparity, economic development should adapt to local conditions and implement different strategies on different county types. At the same time, paying attention to the improvement of enhanced interaction-factors will play obvious effect on the development of economy.

Key words: economic difference of counties, influence, geographic detector, geographical environment factors, Jiangxi Province

杨丰硕, 杨晓梅, 王志华, 齐文娟, 李治, 孟樊. 江西省典型县域经济差异影响因子地理探测研究[J]. 地球信息科学学报, 2018, 20(1): 79-88.DOI:10.12082/dqxxkx.2018.170375

YANG Fengshuo,YANG Xiaomei,WANG Zhihua,QI Wenjuan,LI Zhi,MENG Fan. Geographic Detection of Impact Factors of Economic Differences among Typical Counties in Jiangxi Province[J]. Journal of Geo-information Science, 2018, 20(1): 79-88.DOI:10.12082/dqxxkx.2018.170375

图/表 12

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探测因子	指标	代表类型
X1	山区比例/%	地貌因子
X2	水体比例/%	地貌因子
X3	平均海拔/m	地形因子
X4	地形起伏度/°	地形因子
X5	耕地比例/%	土地利用因子
X6	居民地密集度/km²	土地利用因子
X7	铁路密度/（km/km²）	道路因子
X8	公路密度/（km/km²）	道路因子
X9	距中心城市距离/km	地理区位因子

P_D_,_G值关系	交互作用
P_D_,_G(X1∩X2)<Min(P_D_,_G(X1)、P_D_,_G(X2))	非线性减弱
Min(P_D_,_G(X1)、P_D_,_G(X2))<P_D_,_G(X1∩X2)<Max(P_D_,_G(X1)、P_D_,_G(X2))	单因子非线性减弱
P_D_,_G(X1∩X2)>Max(P_D_,_G(X1)、P_D_,_G(X2))	双因子增强
P_D_,_G(X1∩X2)=P_D_,_G(X1)+P_D_,_G(X2)	独立
P_D_,_G(X1∩X2)>P_D_,_G(X1)+P_D_,_G(X2)	非线性增强

环境因子	经济发展适宜范围	人均GDP/元
山区比例/%	0~20	9344
水体比例/%	8~10	8704
平均海拔/m	100~150	9199
地形起伏度/°	16~18	9051
耕地比例/%	15~20	8802
居民地密集度/km²	130 000~140 000	9746
铁路密度/(km/km²)	0.009~0.015	9924
公路密度/(km/km²)	0.1~0.11	9319
距中心城市距离/km	0.565~0.751	8684

环境因子	经济发展适宜范围	人均GDP/元
山区比例/%	0~20	30 820
水体比例/%	27~31	30 654
平均海拔/m	0~80	31 071
地形起伏度/°	10~12	32 5612
耕地比例/%	50~60	20 654
居民地密集度/km²	120 000~130 000	30 654
铁路密度/(km/km²)	0.038~0.054	30 8012
公路密度/(km/km²)	0.25~0.1	30 654
距中心城市距离/km	0.253~0.565	28 090

县域类型	主导影响因子	经济差异影响因素类型	经济发展策略
贫困县	地形起伏度、山区比例、平均海拔、距中心城市距离	自然条件及地理区位型	发展特色农业;加强基础设施及交通设施建设;生态补偿机制;异地搬迁
富裕县	耕地比例、水体比例、公路密度	资源丰度及交通区位型	加强交通、水利设施建设;优化产业及土地利用结构;引进科学技术;增加优惠政策;完善公共服务建设

江西省典型县域经济差异影响因子地理探测研究

Geographic Detection of Impact Factors of Economic Differences among Typical Counties in Jiangxi Province

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