主体功能视角下中国革命老区高质量发展空间格局及影响因素

doi:10.12118/j.issn.1000-6060.2024.291

Abstract

Abstract:

County areas are important spatial carriers for promoting high-quality new urbanization. They play a critical but challenging role for achieving regional coordinated development strategies. This article is based on the perspective of main functional areas and establishes a high-quality development evaluation index system. Using methods such as the coupling coordination degree model and multiple linear regression analysis, we reveal the spatial pattern and influencing factors of high-quality development in five key old revolutionary areas and counties of China in 2020. The results are as follows: (1) Overall, the high-quality development index shows the lead of the former Central Soviet Area and the Dabie Mountains Old Revolutionary Base Area, followed by the Sichuan and Shaanxi Old Revolutionary Base Area and the Shaanxi, Gansu, and Ningxia Old Revolutionary Base Area, with the lowest values in the Zuoyoujiang Old Revolutionary Base Area. High-value areas are mainly concentrated in the former Central Soviet Area, whereas low-value areas are mostly concentrated in the provincial border areas and the Zuoyoujiang Revolutionary Base Area. (2) From the perspective of the main functional areas, the high-quality development index of each region shows the characteristics of key development zones>agricultural product main production areas>key ecological functional areas, and the positioning of the main functional areas is significantly related to their advantageous dimensions. Innovation-driven high-quality economic development is an important path to narrowing the main differences. (3) From the analysis of influencing factors, natural environmental factors and economic and social factors jointly affect regional development. There is no common driving factor among the three main functional areas, but the driving effects of the economic and social factors represented by per capita GDP, human capital, and labor force are more significant. This research provides theoretical and empirical support for promoting high-quality development of different functional districts and counties in old revolutionary areas and theoretical and policy implications for promoting regional coordinated development and constructing differentiated revitalization policies for old revolutionary areas.

Key words: high quality development, main functional area, comprehensive evaluation, influencing factors, old revolutionary areas, China

FU Xiao, HUANG Yingmin. Spatial pattern and influencing factors of high-quality development in China’s old revolutionary areas from the perspective of main functions[J].Arid Land Geography, 2025, 48(3): 517-527.

Figures/Tables 8

Fig. 1

Fig. 2

Tab. 1

Index system and its entropy method weights for high quality development in counties of old revolutionary area"

一级指标	二级指标	三级指标	计算方式	属性	权重
创新驱动	创新产出	万人专利/件·(10⁴人)^-1	专利授权量/常住人口	+	0.3702
	创新环境	万人从事科学技术人员数量/人·(10⁴人)^-1	科学技术人员/常住人口	+	0.1822
	地均产出	地均GDP/10⁴元·km^-2	GDP/建设用地面积	+	0.2106
	地均产出	地均粮食产量/kg·km^-2	粮食产量/耕地面积	+	0.0854
	劳动产出	劳动生产率/10⁴元·人^-1	GDP/劳动人口	+	0.1515
经济发展	经济结构	产业高级化指数/%	（二产+三产产值）/GDP总值	+	0.0426
	经济实力	GDP总量/10⁴元	统计公报	+	0.2608
	经济效率	人均GDP/元·人^-1	GDP/常住人口	+	0.1730
	经济效率	人均一般财政收入/元·人^-1	财政收入/常住人口	+	0.2593
	数字经济	信息传输软件和信息技术服务业人员占比/人·(10⁴人)^-1	七次人口普查数据	+	0.2643
城乡协调	安全保障	人均粮食产量/kg·人^-1	粮食产量/常住人口	+	0.2281
	安全保障	人均耕地面积/km²·人^-1	耕地面积/常住人口	+	0.3257
	城乡差距	城乡差异/%	城镇居民可支配收入/农村居民可支配收入	-	0.0471
	城乡差距	产业效益差异/%	乡村人均GDP/城镇人均GDP	+	0.1467
	城镇化率	城镇化率/%	七次人口普查数据	+	0.1137
	乡村振兴	农村居民人均可支配收入/元	农村居民人均可支配收入	+	0.1387
共享发展	共同富裕	人均存款/元·人^-1	居民存款总额/常住人口	+	0.3131
	红色文化	红色资源评分/分	红色资源平均得分（采用积分方式，1~2分，对应省级、国家级革命文物）个数以及平均得分的综合值^[22]	+	0.3034
	居民素质	平均受教育年限/a	七次人口普查数据	+	0.1311
	居民素质	文盲人口占15岁及以上人口比重/%	七次人口普查数据	-	0.0574
	医疗资源	人均床位/床·(10⁴人)^-1	床位数/常住人口数	+	0.1950
生态文明	空气质量	PM_2.5/μg·m^-3	PM_2.5	-	0.4853
	能源消耗	单位GDP用电量/kWh·(10⁴元)^-1	用电总量/GDP	-	0.0665
	污染排放	单位GDP碳排放/kg·(10⁴元)^-1	二氧化碳排放总量/GDP	-	0.0960
	生态环境	森林覆盖率/%	统计公报	+	0.3522
内外开放	对内联通	国内贸易/%	社会消费品零售总额/GDP	+	0.3041
	对内联通	营商环境/家·(10⁴人)^-1	新注册企业数量/常住人口	+	0.2682
	对外开放	距地级市距离/h	距离地级市通达时间	+	0.0415
		距省会距离/h	距离省会城市通达时间	+	0.0977
		路网密度/km·(10³km²)^-1	道路长度/区域面积	+	0.2884

Tab. 1

Tab. 2

Tab. 3

Fig. 3

Tab. 4

Tab. 5

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统计量	主体功能区	川陕老区	大别山老区	陕甘宁老区	原中央苏区	左右江老区	平均值
区域均值	重点开发区	0.5183	0.5346	0.4887	0.5588	0.4728	0.5220
	农产品主产区	0.5005	0.5006	0.4473	0.5195	0.4186	0.4876
	重点生态功能区	0.3551	0.3957	0.3517	0.3955	0.3079	0.3603
	总计	0.4379	0.4780	0.4133	0.4914	0.3790	0.4465
变异系数	重点开发区	0.1028	0.0787	0.1126	0.0926	0.0809	0.1118
	农产品主产区	0.0635	0.0665	0.0972	0.0587	0.0853	0.1032
	重点生态功能区	0.0588	0.0523	0.1127	0.0898	0.0631	0.1196
	总计	0.1978	0.1340	0.1888	0.1608	0.1971	0.1757

主体功能区	创新驱动	经济发展	生态文明	城乡协调	外联内通	共享发展
重点开发区	0.1723	0.2288	0.7358	0.2669	0.3338	0.2933
农产品主产区	0.1232	0.1504	0.7623	0.2704	0.2829	0.2261
重点生态功能区	0.0962	0.1200	0.8104	0.2396	0.2479	0.2226
总计	0.1265	0.1608	0.7740	0.2570	0.2835	0.2440

变量	区域	SL	AL	TU	CG	IS	GP	PD	WP	HC	BE	PE	FD	IE	GC	R²
重点开发区	革命老区	0.171^***	-0.286^***	-	-	-	0.460^***	0.184^***	0.295^***	0.412^***	-	-	-	-	0.178^***	0.796
	川陕老区	-	-	-	-	-	-	-	0.559^***	0.772^***	-	-	-	0.507^***	-0.391^***	0.842
	大别山老区	-	-	-	-	-	1.059^***	-	-	-	-	-	0.558^***	-	-	0.795
	陕甘宁老区	-	-	-	-	-	0.568^***	0.245^***	-	0.495^***	-	-	-	-	-	0.825
	原中央苏区	-	-	-	-	-	0.361^***	-	-	0.620^***	-0.182^***	-	0.162^***	-	0.280^***	0.905
	左右江老区	-	-	-	-	-	-	-	-	0.811^***	-	-	-	-0.567^***	-	0.604
农产品主产区	革命老区	-	-	-0.312^***	-	-	0.866^***	-	0.491^***	-	-	-	0.169^***	-	0.312^***	0.758
	川陕老区	-	-	-	-0.746^***	-	0.277^***	-	1.079^***	-	-	-	-	-	-	0.882
	大别山老区	-	-	-	-	-	0.685^***	-	-	-	-	-	-	-	0.451^***	0.647
	陕甘宁老区	-	-	-	-	0.768^***	-	-	-	-	-	-	-	-	-	0.545
	原中央苏区	-	-	-	-	0.407^***	-	-	-	0.462^***	-	-	-	0.451^***	-	0.629
	左右江老区	-	-	-	0.355^***	-	0.844^***	-	-	-	-	-	-	-	-	0.849
重点生态功能区	革命老区	-	-0.150^***	-0.123^***	-	-	0.618^***	0.139	0.340^***	0.217	-0.194^***	-	0.234^***	-	0.222^***	0.710
	川陕老区	-	-	-	-0.538^***	-	0.887^***	-	1.289^***	-	-	-	0.338^***	-	-	0.904
	大别山老区	-	-	-	-	-	-	-	0.463^***	0.658^***	-	-	-	0.347^***	-	0.755
	陕甘宁老区	-	-	-	-	-	0.454^***	-	-	0.518^***	-	-	-	-	-	0.788
	原中央苏区	-	-	-	-	0.228^***	-	-	-	0.768^***	-	-	-	-	-	0.661
	左右江老区	-	-	-	-	-	0.783^***	-	-	-	-	-0.306^***	-	-	-	0.686

Spatial pattern and influencing factors of high-quality development in China’s old revolutionary areas from the perspective of main functions

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主体功能区类型	创新驱动	经济发展	生态文明	城乡协调	内外开放	共享发展
重点开发区	0.20	0.20	0.10	0.10	0.20	0.20
农产品主产区	0.15	0.15	0.15	0.20	0.15	0.20
重点生态功能区	0.15	0.15	0.20	0.15	0.15	0.20

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