黄土高原乡村体制转换与转型发展

doi:10.11821/dlxb202002010

地理学报 ›› 2020, Vol. 75 ›› Issue (2): 348-364.doi: 10.11821/dlxb202002010

黄土高原乡村体制转换与转型发展

鲁大铭^1,², 杨新军^1,³(), 石育中⁴, 王子侨¹

^1. 西北大学城市与环境学院,西安 710127
^2. 北京大学深圳研究生院城市规划与设计学院,深圳 518055
^3. 陕西省地表系统与环境承载力重点实验室,西安 710127
^4. 西北师范大学地理与环境科学学院,兰州 730070

收稿日期:2018-04-19 修回日期:2019-11-29 出版日期:2020-02-25 发布日期:2020-04-25
通讯作者: 杨新军
作者简介:鲁大铭(1992-), 男, 陕西西安人, 博士生, 研究方向为人地耦合系统脆弱性与乡村转型发展。E-mail:ludm@pku.edu.cn
基金资助:
国家自然科学基金项目(41771574)

Rural regime shifts and transformation development on the Loess Plateau

LU Daming^1,², YANG Xinjun^1,³(), SHI Yuzhong⁴, WANG Ziqiao¹

^1. College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
^2. School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, Guangdong, China
^3. Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi'an 710127, China
^4. College of Geography and Environment Science, Northwest Normal University, Lanzhou 730070, China

Received:2018-04-19 Revised:2019-11-29 Online:2020-02-25 Published:2020-04-25
Contact: YANG Xinjun
Supported by:
National Natural Science Foundation of China(41771574)

摘要/Abstract

摘要：

农户生计方式的改变对研究黄土高原乡村转型发展具有重要意义。以黄土高原苹果优生区的彬县、长武县和旬邑县为研究区,从体制转换的视角出发,基于模糊层次分析、地理探测器和多元线性回归等算法,模拟乡村体制演化的路径,甄别影响乡村转型发展的微观要素,进一步揭示农户家庭体制转换与乡村转型发展之间的互馈机理。研究发现：① 在研究区内抽样选择的130个乡村中,传统农业体制型乡村共有27个,主要分布于黄土梁地貌类型区,新型农业体制型乡村共有96个,主要分布于黄土塬地貌类型区,非农体制型乡村共有7个,主要分布于河谷地貌类型区;② 当乡村地域系统由传统农业型体制向新型农业型体制转变,再至非农型体制的演化路径中,乡村转型发展度在三维空间坐标系中为倒“U”型变化趋势,乡村人口发展度在二维坐标系中表现为下凸递增趋势,乡村经济发展度在二维坐标系中表现为上凸递增趋势,农业经济发展度在二维坐标系中表现为倒“U”型发展趋势;③ 生计方式成为衔接农户家庭体制转换与乡村转型发展的控制性因素,在农户尺度上,由人力资本与自然资本决定,并直接影响到金融资本和物质资本,在村域尺度上,通过与乡村地域系统的人口、经济和农业等3个维度的响应,引导乡村转型发展过程。

关键词: 乡村转型, 体制转换, 地理探测器, 微观机制, 黄土高原

Abstract:

It is important to study rural transformation and development from the perspective of farmers' livelihood regime changes on the Loess Plateau. We selected cunties of Binxian, Changwu and Xunyi located in the apple growing area of the Loess Plateau, as a case study to construct the evolutionary path of rural regime, identify the micro factors that affect rural transformation and development, and reveal the mutual feedback mechanism between farmers' household regime and rural transformation. In doing so we adopted a regime change perspective, and applied the fuzzy analytic hierarchy process method, geodetector, and multiple linear regression. We obtained the following three findings. First, 27 of 130 selected samples, distributed mainly in areas with loess girder topography, belonged to the traditional agricultural regime. Meanwhile, 96 samples, distributed mainly in areas with loess tableland topography, belonged to the new agricultural regime. Another 7 samples, mainly distributed in valley areas, belonged to the non-agricultural regime. Second, when rural transformation sees the traditional agricultural regime replaced by the new agricultural regime, and finally the non-agricultural regime, the overall performance of rural development follows an inverted U-type development trend in a 3D space coordinate system. Simultaneously, rural population development follows an upward convex development trend in a 2D space coordinate system. Meanwhile, rural economic development follows an upward concave development trend, and agricultural production development follows an inverted U-type development trend, both in 2D space coordinate systems. Third, means of livelihood is the control variable that connects family system transformation and rural transformation development, which are determined by human and natural capital and directly affect financial and material capital at the farmer level. These aspects of transformation development are guided by the response process at the village level of three dimensions, namely population, economy and agriculture, and lead the process of rural transformation and development.

Key words: rural transformation, regime shift, geodetector, micromechanism, Loess Plateau

鲁大铭, 杨新军, 石育中, 王子侨. 黄土高原乡村体制转换与转型发展[J]. 地理学报, 2020, 75(2): 348-364.

LU Daming, YANG Xinjun, SHI Yuzhong, WANG Ziqiao. Rural regime shifts and transformation development on the Loess Plateau[J]. Acta Geographica Sinica, 2020, 75(2): 348-364.

图/表 15

图1

图2

图3

表1

表2

图4

表3

图5

图6

图7

图8

图9

表4

表5

农户生计方式与生计资本因子回归方程"

回归方程	R	R²	Sig.
$y 1 = 0.455 + 0.074 x 1 - 0.072 x 2 - 0.025 x 3 + 0.033 x 4 + 0.034 x 5 + 0.011 x 6 + 8.173 × 10 - 4 x 7$	0.931	0.883	0.000
$y 2 = 0.411 - 0.081 x 1 + 0.086 x 2 + 0.035 x 3 + 5.761 × 10 - 6 x 4 - 0.042 x 5 - 0.072 x 6$	0.927	0.881	0.000
$y 3 = 0.293 + 0.076 x 1 - 0.11 x 2 + 0.074 x 3 - 0.018 x 4 + 0.027 x 5 + 0.017 x 6$	0.942	0.889	0.001

表5

图10

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农户类型	划分指标				调查户数(户)	占比(%)
农户类型	粮食收入占比(%)	苹果收入占比(%)	非农劳动收入占比(%)	主要劳动力投入方式	调查户数(户)	占比(%)
粮食主导型	80~100	0~20	0~20	粮食种植	104	10.13
粮食非农型	20~80	0~20	20~80	粮食种植、非农活动	235	22.88
苹果主导型	0~20	80~100	0~20	苹果种植	262	25.51
苹果非农型	0~20	20~80	20~80	苹果种植、非农活动	299	29.11
非农主导型	0~20	0~20	80~100	非农活动	127	12.37

乡村类型	划分指标(%)			村落数量(个)		占比(%)
乡村类型	粮食主导型和粮食非农型农户总占比	苹果主导型和苹果非农型农户总占比	非农主导型农户占比	村落数量(个)	总占比	塬	梁	河谷
传统农业体制型	50~100	0~50	0~50	27	20.77	5.17	58.82	10.53
新型农业体制型	0~50	50~100	0~50	96	73.85	91.38	41.18	76.32
非农体制型	0~50	0~50	50~100	7	5.38	3.45	0	13.15

准则层	准则层权重	指标层	计算方法	指标层权重
乡村人口发展度	0.31	人口密度(人/km²)	总人口/村域面积	0.0933
		人均受教育水平(年/人)	受教育年限总和/总人口	0.0635
		人口增长率(%)	新增人口/总人口	0.0698
		劳动力人口占比(%)	劳动力人口/总人口	0.0834
乡村经济发展度	0.35	人均年收入(%)	经济收入总值/总人口	0.1061
		人均固定资产产值(万元/人)	固定资产总值/总人口	0.0681
		经济组织数量(个)	家庭农场数量+农业合作社数量	0.0799
		非农收入比重(%)	非农业收入总值/经济收入总值	0.0959
农业生产发展度	0.34	亩均经济产值(万元/亩)	农业总产值/耕地面积	0.0896
		人均耕地面积(亩/人)	耕地面积/总人口	0.0820
		人均农业科技人员配置率(%)	农业科技人员总人数/总人口	0.0799
		单位耕地面积化肥使用量(t/hm²)	化肥使用总量/耕地面积	0.0885

因子	乡村人口发展度		乡村经济发展度		农业生产发展度		乡村发展度
因子	q值	p值	q值	p值	q值	p值	q值	p值
苹果种植收入占比	0.27	0.04	0.32	0.00	0.57	0.00	0.42	0.00
粮食种植收入占比	0.06	0.70	0.09	0.45	0.23	0.03	0.12	0.14
外出务工收入占比	0.33	0.00	0.29	0.07	0.02	0.93	0.37	0.00

黄土高原乡村体制转换与转型发展

Rural regime shifts and transformation development on the Loess Plateau

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