重庆市乡村生产空间系统韧性扰动因素的空间效应及作用关系

王成, 吴昕玥

资源科学 ›› 2022, Vol. 44 ›› Issue (8) : 1604-1614.

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资源科学 ›› 2022, Vol. 44 ›› Issue (8) : 1604-1614. DOI: 10.18402/resci.2022.08.06
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重庆市乡村生产空间系统韧性扰动因素的空间效应及作用关系

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Spatial effect and relationship of disturbances to the resilience of rural production spatial system in Chongqing Municipality

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摘要

乡村生产空间系统作为一个开放巨系统,其韧性水平既受到相邻空间要素之间相互干扰的影响,又受到空间内部各要素相互作用的影响,从空间之间以及空间内部剖析扰动因素作用关系对于韧性水平提升具有重要现实意义。本文在测度2020年重庆市37个区县乡村生产空间系统韧性水平并明晰其空间格局的基础上,运用空间杜宾模型和地理探测器交互探测方法分别对扰动因素的空间效应和相互作用关系进行分析,进而解构其作用机制。结果表明:①2020年重庆市各区县乡村生产空间系统韧性水平呈现“中心高,四周低”的空间格局,相邻区县韧性水平具有较高一致性且冷热点分布不均。②区域经济水平、二三产业发展水平及基础设施建设对乡村生产空间系统韧性具有显著正向影响,劳动力聚集度、地方财政支出具有显著负向影响。③运用扰动因素的空间效应及其相互间作用关系相结合的方法能更客观地解析扰动对乡村生产空间系统韧性水平的影响。本文阐释了乡村生产空间系统韧性扰动因素作用机制,以期为重庆市全面推进乡村振兴提供科学支撑。

Abstract

As an open giant system, the resilience level of rural production spatial system is affected not only by the interaction of elements between adjacent spaces, but also by the interaction of elements within the space. It is of great practical significance to analyze the interaction of disturbance factors between and within these spaces for improving the resilience of rural production spatial systems. On the basis of measuring the resilience level of the rural production spatial system of 37 districts and counties in Chongqing Municipality in 2020 to clarify its spatial pattern, the spatial effect and interactive relationship of disturbance factors were analyzed respectively using the spatial Durbin model and geographical detector interactive detection method, and the mechanism of impact was deconstructed. The results show that: (1) In 2020, the resilience level of production spatial system of the districts and counties of Chongqing presented a spatial pattern of high in the center and low in the periphery, the resilience level of adjacent districts and counties are highly consistent, and the distribution of cold and hot spots was uneven. (2) Economic development level, the development level of secondary and tertiary industries, and infrastructure construction have a significant positive impact on the resilience of rural production spatial system, while the degree of labor force concentration and local fiscal expenditure have a significant negative impact. (3) Using the method of combining the spatial effect of disturbance factors and their interactions can facilitate objective analysis of the impact of disturbance on the resilience level of rural production spatial system and formulation of targeted strategies to improve resilience. This study examined the mechanism of the disturbance factors of rural production spatial system resilience, and provides scientific support for the comprehensive promotion of rural revitalization in Chongqing.

关键词

乡村生产空间系统 / 韧性 / 空间杜宾模型 / 空间效应 / 地理探测器 / 重庆市

Key words

rural production spatial system / resilience / spatial Durbin model / spatial effect / Geodetector / Chongqing Municipality

引用本文

导出引用
王成, 吴昕玥. 重庆市乡村生产空间系统韧性扰动因素的空间效应及作用关系[J]. 资源科学, 2022, 44(8): 1604-1614 https://doi.org/10.18402/resci.2022.08.06
WANG Cheng, WU Xinyue. Spatial effect and relationship of disturbances to the resilience of rural production spatial system in Chongqing Municipality[J]. Resources Science, 2022, 44(8): 1604-1614 https://doi.org/10.18402/resci.2022.08.06

1 引言

乡村生产空间系统属于乡村地域系统重要组成部分[1],是乡村多元主体开展各类生产活动的有机载体,具有韧性这一基本属性。伴随政策、资金、技术等多种要素注入乡村,乡村生产空间系统内部要素组成发生改变,原有的乡村多元主体行为方式及系统结构功能相应发生变化,乡村生产空间系统正面临着各种复杂、难以预测的自然或人为因素扰动。扰动作为乡村生产空间系统演化的驱动因素[2],对乡村生产空间系统韧性具有正向或负向影响。扰动因素作用强度不同,乡村生产空间系统韧性水平亦不同,当扰动过于强烈超过系统承受范围时,系统原有结构断裂、功能破坏,系统逐渐衰落甚至消亡;当扰动在系统承受范围内时,系统内部要素不断交流重组,结构优化功能更新,各类扰动因素累积结果在空间上差异化分布,促使系统朝新的平衡状态演化,实现可持续发展。乡村生产空间系统韧性是乡村韧性的组成部分,当前国内外学者关于乡村生产空间系统韧性研究较少。关于乡村韧性的研究主要集中于理论内涵解构[3,4]、韧性水平测度及时空格局分析[5-7]、韧性提升路径[8-11]、农户生计多样性[12]、土地利用[13-15]、应用农业[16]、气候变化[17]等多视角多方面并取得丰富研究成果,而缺少扰动因素对韧性影响空间效应的深入研究。乡村生产空间系统作为一个开放巨系统,受到的扰动既有来自相邻空间要素之间的相互干扰,也有空间内部要素相互作用的影响,因而从空间之间以及空间内部去剖析扰动因素如何影响乡村生产空间系统韧性水平,更能全面揭示乡村生产空间系统韧性水平的变化规律,更利于科学地提出韧性水平提升针对性策略。基于此,本文在测度2020年重庆市37个区县乡村生产空间系统韧性水平、明晰其空间格局的基础上,运用空间杜宾模型和地理探测器交互探测方法分别对扰动因素的空间效应和相互作用关系进行探析,进而解构其作用机制,旨在为重庆市全面推进乡村振兴提供参考。

2 研究方法及数据来源

2.1 研究思路

“系统论”认为系统内部各要素通过非线性相互作用紧密联系,使得系统具有整体性[18]。任一局部的微小扰动通过系统的整体关联放大,影响其他要素部分,致使系统远离原有平衡状态,向新的平衡状态演变,从有序到无序再到高级有序,实现系统由低级循环向高级循环发展。乡村生产空间系统作为重要的人地关系地域系统,受到社会、经济、生态环境等多方面因素扰动,这些扰动通过系统非线性作用相互关联。在新型城镇化及乡村振兴的“双轮驱动”下,农村人居环境整治、基础设施建设等各项惠及乡村的政策颁布,促使资金、技术等要素在城乡间快速流动,乡村的经济发展、社会形态变化、配套基础设施完善等改变了以人为主的乡村多元主体的生产生活方式,乡村多元主体行为决策反作用于乡村生产空间系统的社会、经济、生态环境。各扰动因素在系统间及系统内部的交流互动促进了资源要素在空间上的合理配置,优化了乡村生产空间系统组织结构功能,进而影响乡村生产空间系统韧性水平。
因此,本文基于理论基础—实证演绎—机制分析的逻辑进路,从现实需求出发,基于乡村生产空间系统理论、韧性理论,以乡村生产空间系统韧性水平测度切入,多角度探析乡村生产空间系统韧性扰动因素的作用机制,以期更具科学性地对提升韧性水平提出针对性策略。

2.2 研究区概况

重庆市位于中国西南地区,是长江上游地区经济中心、国家重要现代制造业基地,具有“大城市、大农村、大山区、大库区”的特征。2009年国务院发布《国务院关于推进重庆市统筹城乡改革和发展的若干意见》将其确定为“国家统筹城乡综合配套改革试验区”。自党的十九大提出乡村振兴战略以来,重庆市围绕“五大振兴”全面实施乡村振兴战略,贯彻落实习近平总书记提出的“两点”定位、“两地”“两高”目标和“四个扎实”要求的重大任务。2019年重庆市被纳入国家城乡融合发展试验区西部片区,包括荣昌、潼南、大足等9个区县,试点示范建立健全城乡融合发展体制机制和政策体系,推动全市范围内城乡要素自由流动以实现高质量发展。根据《重庆市国土空间规划(2021—2035年)》,重庆市空间格局分为“一区两群”,“一区”指由都市功能核心区、都市功能拓展区和城市发展新区构成的大都市区,“两群”指以万州为中心城市的“渝东北三峡库区城镇群”与以黔江为中心城市的“渝东南武陵山区城镇群”。

2.3 数据来源

数据包含重庆市37个区县(渝中区城镇化水平已达到100%,不在研究范围内)矢量数据和截面数据。矢量数据来源于重庆市规划和自然资源局提供的行政边界数据等。截面数据包括社会经济数据与环境数据,其中,社会经济数据来源于2020年《重庆统计年鉴》《重庆调查年鉴》《重庆经济年鉴》、重庆市各区县地方统计年鉴等;环境数据来源于2020年《重庆市水土保持公报》《重庆市森林资源公报》等。

2.4 指标与模型

2.4.1 乡村生产空间系统韧性水平测度方法

乡村生产空间系统韧性包含抵御、适应、更新三大能力[19]。三大能力综合作用,共同推进乡村生产空间系统由一种平衡状态向另一种新的平衡状态演化。借鉴相关研究成果,从抵御、适应、更新三大能力构建乡村生产空间系统韧性水平测度指标体系[20-22]表1)。
表1 乡村生产空间系统韧性测度指标体系

Table 1 Resilience measurement indicator system of rural production spatial system

准则层 指标层 指标含义及性质 权重
抵御能力 乡村人口流动率 反映乡村人口流动情况(+) 0.114
人均耕地面积 反映农业生产发展水平(+) 0.028
人均住房面积 反映农民居住条件(+) 0.042
设村卫生室的村数占行政村数比重 反映乡村医疗条件水平(+) 0.013
水网密度指数 反映乡村水环境情况(+) 0.102
水土流失率 反映乡村水土流失状况(-) 0.042
适应能力 人均农林牧渔服务业总产值 反映乡村生产力发展水平(+) 0.101
农业机械化水平 反映农业现代化发展水平(+) 0.065
乡村居民人均可支配收入 反映农民可支配收入水平(+) 0.058
财政自给水平(a) 反映政府财政实力(+) 0.064
生物丰富度指数 反映乡村生物多样性(+) 0.071
农药化肥使用强度 反映现代科技要素对乡村环境的影响程度(-) 0.019
更新能力 农业商品化率 反映农业商品化水平(+) 0.036
道路密度 反映乡村对外通达性(+) 0.052
乡村劳动力人均受教育年限 反映乡村劳动力受教育水平(+) 0.045
乡村居民人均教育文化娱乐支出 反映农民对教育、文化产品或服务等的精神需求(+) 0.027
社会保障支出占比 反映政府社会保障投入情况(+) 0.043
森林覆盖率 反映乡村生态环境更新能力(+) 0.078
注:(a)财政自给水平=地方财政收入/地方财政支出。
抵御能力指乡村生产空间系统基于人口、资源禀赋、生态环境等本底条件主动吸收应对扰动,以保持系统原有结构和功能不变的能力。选取乡村人口流动率、人均耕地面积反映乡村生产空间系统人口及生产情况,选取人均住房面积、设村卫生室的村数占行政村数比重反映乡村生产空间系统社会保障条件,选取水网密度指数、水土流失率反映乡村生产空间系统生态环境状况。其中,水土流失率为负向指标,其余均为正向指标。
适应能力指乡村生产空间系统通过内部要素交流互动、不断重组等方式以适应扰动的能力。选取人均农林牧渔服务业总产值、农业机械化水平反映农业发展情况,选取乡村居民人均可支配收入反映农民收入高低以应对扰动的资金保障水平,选取财政自给水平反映政府财政发展能力,选取生物丰富度指数、农药化肥使用强度反映生态环境受到并应对扰动的能力高低。其中,农药化肥使用强度为负向指标,其余均为正向指标。
更新能力指乡村生产空间系统在扰动作用下通过彻底改革与改变,创造全新发展方式,提升系统自身潜能,促进系统向优化方向发生稳态转换的能力。选取农业商品化率反映农业产品市场化程度,选取道路密度反映乡村对外通达水平,选取乡村劳动力人均受教育年限、乡村居民人均教育文化娱乐支出反映农民教育文化水平,选取社会保障支出占比反映社会保障资金投入情况,选取森林覆盖率反映乡村生态环境更新能力。以上均为正向指标。
采用熵权法对乡村生产空间系统韧性各指标进行计算,通过信息熵原理确定权重以便客观准确地评价研究对象。利用“min-max标准化”将指标体系中各项指标转换为无量纲化指标测评值。计算公式如(1)、(2)所示,各评估指标经标准化处理后的值介于[0,1]区间。
Z i j为正向指标时:
Z i j = X i j - m i n X i j m a x X i j - m i n X i j
Z i j为负向指标时:
Z i j = m a x X i j - X i j m a x X i j - m i n X i j
式中: X i j为第i个区县的第j项指标值(i=1,2,…,n;j=1,2,…,m); Z i j为无量纲化处理得到的指标值。
在对指标进行如公式(3)的归一化处理基础上,计算各指标熵值 E j
P i j = Z i j i = 1 n Z i j
E j = - k i = 1 n P i j l n P i j
k = 1 l n n
式中: P i j为第j项指标下第i个区县(i= 1, 2,…, n)占该指标的比重; k为常数。
计算信息熵冗余度 D j与权重 F j公式为:
F j = D j j = 1 m D j
D j = 1 - E j
指标加权求和。将标准化处理结果与权重按公式(8)计算,得到乡村生产空间系统韧性水平 R i
R i = j = 1 m Z i j F j

2.4.2 空间杜宾模型

20世纪70年代,Jean Paelinck提出空间计量经济学这一概念,后经Anselin[23]等学者的发展,建立了完整的学科体系框架及计量模型。空间杜宾模型(SDM)在识别变量间空间相互关系与结构模式上具有将自变量与因变量同时纳入研究范围的优势。本文以重庆市37个区县乡村生产空间系统韧性水平R为因变量,运用空间杜宾模型进行分析。
模型设定如下:
R i = δ l a g _ R + β X i + θ l a g _ X + ε i
式中: l a g _ R为因变量空间滞后向量,由空间权重矩阵 W乘以 R i得出; δ为因变量空间自回归系数; X i为自变量; β为参数向量; l a g _ X为自变量空间滞后向量,由权重矩阵 W乘以 X i得出; θ为自变量空间自回归系数; ε i为误差项。

2.4.3 地理探测器

地理探测器包含分异及因子探测、交互探测、生态探测、风险探测4个探测器,其中,交互探测可以识别不同因子间交互作用时对因变量的影响强弱[24]。即分别计算X1X2对因变量Rq值,再计算二者交互的q值,通过比较q(X1)、q(X2)、q(X1X2)间大小得出因子交互关系。q值计算公式如下:
q = 1 - h = 1 L N h σ h 2 N σ 2
式中:h为自变量X的分类数,h=1, 2,…, L; N h N分别为自变量类型h样本数和整个研究区样本数; σ h 2 σ 2分别是hR的方差。因子交互探测关系如表2所示。
表2 交互探测关系

Table 2 Interactive relationship

大小关系 交互关系
q(X1X2)<min(q(X1),q(X2)) 非线性减弱
min(q(X1),q(X2))<q(X1X2)<max(q(X1),q(X2)) 单因子非线性减弱
max(q(X1),q(X2))<q(X1X2)<q(X1)+q(X2) 双因子增强
q(X1X2)>q(X1)+q(X2) 非线性增强
q(X1X2)=q(X1)+q(X2) 相互独立

3 结果与分析

3.1 乡村生产空间系统韧性水平的空间表征

(1)空间格局。由图1可知,2020年重庆市各区县韧性呈现“中心高,四周低”的空间分布特征,韧性水平介于[0.288,0.574]。乡村人口流动率、人均农林牧渔服务业总产值是主要影响指标。其中,沙坪坝区、江北区、九龙坡区等区县韧性较高,究其原因,处于主城都市区的沙坪坝区等区县牢牢把握极核优势,“强核提能级”,以产业升级引领区、科技创新策源地等为目标定位,夯实工业主战场地位,保障经济稳定增长;同时开展乡村建设行动,实施农旅融合发展项目建设,加强农村人居环境整治,多管齐下全面助力乡村振兴,乡村生产空间系统韧性水平迅速提升。荣昌区、合川区等西部区县及涪陵区、武隆区等中部区县韧性中等,究其原因,荣昌区等西部片区利用国家城乡融合发展试验区“新风口”,畅通各要素在城乡间合理配置,推动城乡融合发展;此外,涪陵区等区县以协调推进乡村振兴战略为抓手,发展绿色安全的现代化农业,实现农民增产,乡村生产空间系统韧性处于中等水平。巫溪县、秀山县等区县乡村生产空间系统韧性水平普遍偏低,究其原因,处于渝东北三峡库区城镇群及渝东南武陵山区城镇群的巫溪县等区县生态文化资源丰富,以生态保护绿色发展为标杆,共抓大保护、不搞大开发,联防联治共筑长江上游重要生态屏障,经济发展相对落后、基础设施建设不完善。
图1 2020年重庆市乡村生产空间系统韧性水平
注:基于自然资源部标准地图服务网站渝S(2020)071号的标准地图制作,底图边界无修改。

Figure 1 Resilience level of rural production spatial system in Chongqing Municipality, 2020

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(2)空间关联。对2020年重庆市37个区县乡村生产空间系统韧性水平进行全局空间关联特征分析,得到全局Moran's I为0.667,且在至少1%的水平下显著为正,即重庆市乡村生产空间系统韧性水平空间集聚特征显著,邻近区县乡村生产空间系统韧性具有较高一致性。通过Stata、ArcGIS软件对结果进行局部空间关联分析得出,重庆市乡村生产空间系统韧性空间冷热点分布不均(图2)。重庆市H-H集聚区集中于沙坪坝区、南岸区、江北区、大渡口区等主城都市区,H-L集聚区分布于武隆区,L-H集聚类型分布于江津区、合川区,L-L集聚区分布于潼南区、大足区等西部片区区县及巫山县、巫溪县、酉阳县、秀山县等渝东南、渝东北城镇群区域(表3)。
图2 2020年重庆市乡村生产空间系统韧性局部空间关联图
注:基于自然资源部标准地图服务网站渝S(2020)071号的标准地图制作,底图边界无修改。

Figure 2 Local spatial correlation diagram of rural production spatial system resilience in Chongqing Municipality, 2020

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表3 2020年重庆市37个区县乡村生产空间系统韧性集聚类型

Table 3 Rural production spatial system resilience cluster types of 37 districts in Chongqing Municipality, 2020

集聚类型 区县名称
H-H集聚 沙坪坝区、南岸区、江北区、大渡口区、涪陵区、九龙坡区、北碚区、綦江区、渝北区、巴南区、长寿区、南川区、璧山区
H-L集聚 武隆区
L-H集聚 江津区、合川区
L-L集聚 万州区、大足区、黔江区、永川区、铜梁区、潼南区、荣昌区、开州区、梁平区、城口县、丰都县、垫江县、忠县、云阳县、奉节县、巫山县、巫溪县、石柱县、秀山县、酉阳县、彭水县

3.2 乡村生产空间系统韧性扰动因素的空间效应分析

3.2.1 直接效应与空间溢出效应分析

乡村生产空间系统韧性受到社会、经济、生态等多种扰动因素影响,同时政府通过财政拨款、政策颁布等方式驱动资金、资源、劳动力等各类要素不断在乡村生产空间系统与外部环境间流动,间接影响着乡村生产空间系统韧性水平。因研究区乡村生产空间系统生态环境本底变化较小,参考已有研究成果[25-27]并根据重庆市实际情况,从经济水平、劳动力状况、产业结构、政府管理、基础设施5个维度选取扰动因素变量,即选取人均地区生产总值(X1)、乡村劳动力水平(X2)、二三产业发展水平(X3)、地方财政支出(X4)、人均固定资产投资额(X5)指标探究乡村生产空间系统韧性扰动因素的空间效应。运用空间杜宾模型对各扰动因素进行分析(表4),LM检验和稳健LM检验拒绝了不存在因变量空间滞后项和不存在空间滞后残差项的原假设,Wald检验和LR检验均在5%显著水平下拒绝了原假设,表明空间杜宾模型(SDM)不可退化为空间滞后模型(SAR)与空间误差模型(SEM),即重庆市37个区县韧性水平既受到自身区县相关扰动因素的作用,也受到邻近区县扰动因素的影响。进一步对各扰动因素直接效应、间接效应及总效应进行分析,结果如表5所示。
表4 空间杜宾模型估计结果

Table 4 Estimation results of spatial Durbin model

变量 SDM
X1 0.005
X2 0.002
X3 1.018***
X4 -0.096**
X5 0.005**
W×X1 0.001
W×X2 -0.099**
W×X3 -0.092**
W×X4 -0.078**
W×X5 0.003
rho 0.109**
R2 0.670
注:*、**、***分别表示P<0.10、P<0.05和P<0.01,下同。
表5 直接效应、间接效应及总效应

Table 5 Direct effect, indirect effect, and total effect

影响因素 具体变量 直接效应 间接效应 总效应
经济水平 人均地区生产总值(X1 0.006(0.88) 0.001(0.19) 0.007*(1.07)
劳动力状况 乡村劳动力水平(X2 0.002(0.03) -0.004(-0.05) -0.002(-0.02)
产业结构 二三产业发展水平(X3 1.271***(7.21) -0.279**(-1.58) 0.992***(5.63)
政府管理 地方财政支出(X4 -0.119**(-1.79) -0.026**(-0.39) -0.093**(-1.39)
基础设施 人均固定资产投资额(X5 0.006**(1.64) 0.001(0.36) 0.007**(2.00)
人均地区生产总值对乡村生产空间系统韧性的直接、间接及总效应均为正向影响,即区域经济发展水平越高,不仅能带动本区县乡村生产空间系统韧性提升,对周边区县韧性也有促进作用与空间溢出效应。究其原因,重庆市经济水平发达的区县具有技术、资源等多方面的优势,各优势通过扩散效应渗入空间上邻近的地区,从而带动周边区域发展,使得这些区域灵活应对扰动的能力增强,乡村生产空间系统韧性水平提升。乡村劳动力水平直接效应为正但未通过显著性检验,即劳动力集聚对韧性水平提高影响并不明显。乡村劳动力水平间接效应与总效应为负,说明周边区县劳动力集聚对本区县乡村生产空间系统韧性水平提升的抑制效应大于本区县劳动力集聚对本区县乡村生产空间系统韧性水平提升的促进效应,即空间溢出效应大于直接效应。究其原因,劳动力为了获取更高的报酬不断在区域间流动,欠发达区域人力资本的流失削弱了乡村持续发展能力,而发达区域人口过于集中对乡村生产空间系统扰动可能性提高,因此劳动力集聚对乡村生产空间系统韧性水平提升空间影响总效应为负。二三产业发展水平对乡村生产空间系统韧性的直接效应与总效应显著为正,而周边区县二三产业发展水平对本区县乡村生产空间系统韧性的影响在5%水平下显著为负。究其原因,重庆市以乡村产业“十百千”工程为抓手,大力推动乡村二三产业发展,实现农民持续增收,应对风险冲击能力提升,而周边区县产业快速发展提供大量就业机会,导致本区县劳动力外流,经济增长速度减缓。地方财政支出对乡村生产空间系统韧性提升的直接、间接及总效应均在5%水平下显著为负,即地方财政支出对本区县及邻近区县乡村生产系统韧性水平提升均具有显著负向影响。说明政府财政支出在空间上的差异扩大了区域间经济差距,对周边区县乡村生产空间系统韧性水平提升具有抑制效应,而过度经济干预及地方保护主义不利于乡村生产空间系统韧性的提升。人均固定资产投资额增多不但对本区县乡村生产空间系统韧性水平提升具有促进作用,而且对周边区县韧性提升也存在空间溢出效应和正向影响。究其原因,重庆市加大基础设施投资建设美丽乡村,基础设施的完善通过乘数效应促进区域经济增长,同时道路等基础设施的建设打破了区域壁垒,将各区县在空间上联结起来,互联互通协同发展,基础设施空间溢出效应对乡村生产空间系统韧性提升正向影响凸显。

3.2.2 内生性讨论与稳健性检验

变量具有内生性原因之一是自变量与因变量互为因果,乡村生产空间系统韧性可能与经济发展、劳动力状况之间存在内生性,即经济发展、劳动力聚集有助于提升乡村生产空间系统韧性,而乡村生产空间系统韧性的提升又可以促进区域经济发展以及吸引更多劳动力。因此,本文通过工具变量法检验内生性问题,选取社会消费品零售额及乡村就业人数分别构建经济水平与劳动力状况的工具变量,且通过了不可识别检验、弱工具检验及过度识别检验,将通过以上检验的工具变量进行豪斯曼检验,得到p值为0.167>0.010,接受原假设,即自变量为外生变量。
为进一步检验相关结论的稳健性,采取5%缩尾的方式剔除样本中的极端数据以检验结论是否稳健。将变量回归处理得到稳健性检验结果(表6)。结果表明,与原结果对比,稳健性检验结果回归系数虽然有差异,但显著性与符号与原结果一致,故具有稳健性。
表6 稳健性检验

Table 6 Robustness test results

变量 稳健性检验结果
X1 0.010
X2 0.293
X3 0.179***
X4 -0.001**
X5 0.101**
W×X1 0.002
W×X2 -0.028**
W×X3 -0.824**
W×X4 -0.001**
W×X5 0.003
rho 0.161**
R2 0.620

3.3 乡村生产空间系统韧性扰动因素的交互探测

运用地理探测器对各扰动因素进行探测分析得出,人均地区生产总值、乡村劳动力水平、二三产业发展水平、地方财政支出、人均固定资产投资额5个扰动因素均对重庆市乡村生产空间系统韧性提升具有显著影响,扰动因素变量选取合理性得到验证(表7)。其中,人均地区生产总值扰动影响能力最强,其次是乡村劳动力水平,剩余因素对韧性影响能力相当。
表7 乡村生产空间系统韧性扰动因素探测结果

Table 7 Detection results of resilience disturbance factors in rural production spatial system

X1 X2 X3 X4 X5
q 0.718 0.686 0.654 0.651 0.660
p 0.000 0.000 0.000 0.000 0.000
将5个扰动因素进行交互探测,结果显示,各扰动因素间交互作用均为双因子增强,即扰动因素间交互作用对乡村生产空间系统韧性的影响均强于单因素的影响(表8)。其中,人均地区生产总值与人均固定资产投资额交互影响作用高达0.886,即经济水平条件与基础设施间相互作用更为强烈地影响着重庆市乡村生产空间系统韧性水平。究其原因,区县基础设施完善是经济快速发展的重要基础,也是推动经济高质量发展的重要举措,重庆市以新型基础设施建设为抓手,建立健全数字转型、智能升级等服务基础设施体系,促进数字经济与实体经济深度融合,经济水平与基础设施建设相互影响共同作用,促进重庆市乡村生产空间系统韧性水平提升。
表8 乡村生产空间系统韧性扰动因素交互作用结果

Table 8 Interactions of resilience disturbance factors in rural production spatial system

两两交互 交互值 交互结果
X1X2 0.778 双因子增强
X1X3 0.785 双因子增强
X1X4 0.839 双因子增强
X1X5 0.886 双因子增强
X2X3 0.745 双因子增强
X2X4 0.813 双因子增强
X2X5 0.876 双因子增强
X3X4 0.835 双因子增强
X3X5 0.828 双因子增强
X4X5 0.843 双因子增强

3.4 乡村生产空间系统韧性扰动因素的作用机制分析

人均地区生产总值对乡村生产空间系统韧性水平具有正向影响,是扰动重庆市乡村生产空间系统韧性的主要因素。经济发展迅速的区域,虹吸效应明显,拥有充裕的资金资源抵御未知风险以维持乡村生产空间系统稳定,保障系统以原有方式运行,同时带动周边区县协同发展,促进资源要素在空间上合理配置。经济落后的区域,人均可支配收入有限,面对自然灾害或突发事件时难以依靠自身解决,脆弱性凸显,是乡村生产空间系统韧性较低的主要原因(图3)。
图3 重庆市乡村生产空间系统韧性扰动因素作用机制

Figure 3 Mechanism of resilience disturbance in rural production spatial system in Chongqing Municipality

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乡村劳动力水平对乡村生产空间系统韧性水平具有负向影响,是扰动重庆市乡村生产空间系统韧性的重要因素。劳动力流入带动本地区经济快速发展,但人口集中消耗大量资源,对基础及公共服务设施带来严峻挑战,乡村生产空间系统承受风险可能性增加。劳动力流失导致本区县劳动力数量下降,经济发展速度降低,系统内部要素流动重组减缓,更新能力减弱,乡村生产空间系统韧性水平下降。
二三产业发展水平、地方财政支出、人均固定资产投资额是影响重庆市乡村生产空间系统韧性水平的基本因素。其中,二三产业发展水平、人均固定资产投资对乡村生产空间系统韧性具有正向影响,地方财政支出对乡村生产空间系统韧性具有负向影响。随着乡村工业化、现代化进程的加快,农村新产业、新业态的壮大拓宽了农民增收渠道,促进了社会生产力的发展,使得系统抗击风险与扰动能力提升。政府财政支出扩大增加了政府债务负担风险,面临外部事件冲击时难以调动资金合理配置,应对扰动能力下降,不利于乡村生产空间系统韧性提升。深入扎实推进农村基础设施建设,大量投入生产要素,吸纳农民参与基础设施建设,增加就业机会,拓宽收入渠道,促进农村经济发展。完善的基础设施体系降低生产要素投入成本,改变了传统农业生产模式,使生产更加高效化、规模化、机械化。同时,完善配套的道路、供电供水、通讯等基础设施改善了农民生活条件,促进乡村生产空间系统韧性水平提升。
经济水平、劳动力状况、产业结构、政府管理、基础设施建设五大扰动因素在相邻乡村生产空间系统之间及系统内部不断输入输出,两两作用相互促进,共同影响着乡村生产空间系统韧性水平变化。

4 结论与讨论

4.1 结论

本文在明晰重庆市乡村生产空间系统韧性空间格局的基础上,运用空间杜宾模型与地理探测器交互探测分析扰动因素的空间效应与作用关系,进而解构其作用机制。主要研究结论如下:
(1)2020年重庆市37个区县韧性水平介于[0.288,0.574],呈现“中心高,四周低”的空间格局分布特征,邻近区县韧性水平具有较高一致性且冷热点分布不均。其中,沙坪坝区韧性水平最高,大足区韧性水平最低,乡村人口流动率、人均农林牧渔服务业总产值为主要影响指标。随着资金、技术、劳动力、政策等要素向乡村倾斜,乡村生产空间系统抵御吸收扰动与要素交流重组速度加快、自我更新能力增强,抵御、适应、更新三大能力共同促进乡村生产空间系统韧性水平提升。
(2)乡村生产空间系统韧性水平受到多种扰动因素的影响。其中,人均地区生产总值、二三产业发展水平及人均固定资产投资额对乡村生产空间系统韧性具有显著正向影响,乡村劳动力水平、地方财政支出具有显著负向影响。此外,各扰动因素交互作用对乡村生产空间系统韧性作用强于单因素对韧性的影响。
(3)基于扰动因素的空间效应及相互作用关系分析,更具科学性地解析扰动对乡村生产空间系统韧性水平的影响,为推进可持续发展、实现产业振兴提供理论支撑。

4.2 讨论

乡村生产空间系统韧性既受到来自相邻空间要素之间的相互干扰,又受到空间内部要素相互作用的影响。本文充分考虑韧性扰动因素的空间效应,探讨扰动因素相互关系并解构作用机制,旨在更具针对性地提出重庆市乡村生产空间系统韧性提升策略,为实现乡村可持续发展提供参考。乡村生产空间系统本身是个复杂开放的巨系统,其韧性水平涉及内外部环境变化、要素交流重组、系统更新优化等多个复杂多变的环节,未来研究应进一步对乡村生产空间系统韧性演变内在机理深入分析。同时,由于政策制度难以量化,本文在选取乡村生产空间系统韧性测度指标时涉及政策因素尚少,未来研究应进一步考虑政策影响并完善指标体系。本文以2020年为研究时点,探究乡村生产空间系统扰动因素作用机制,而乡村生产空间系统持续遭受着各因素的扰动,韧性水平变化具有一定的滞后性,未来应长时序追踪乡村生产空间系统韧性变化趋势、总结变化规律,进一步检验研究结果的科学性、准确性。此外,乡村生产空间系统韧性演变受到各种扰动因素持续不断的累积影响,外部环境亦在不断动态变化中,探寻可能出现的新扰动要素、扰动方式是未来研究的重点方向。

参考文献

[1]
刘彦随, 周扬, 李玉恒. 中国乡村地域系统与乡村振兴战略[J]. 地理学报, 2019, 74(12): 2511-2528.
摘要
乡村地域系统是由人文、经济、资源与环境相互联系、相互作用下构成的、具有一定结构、功能和区际联系的乡村空间体系,是一个由城乡融合体、乡村综合体、村镇有机体、居业协同体等组成的地域多体系统。以乡村地域系统为对象,服务支撑国家乡村振兴战略,为新时期地理学创新研究提供了新机遇和新挑战。乡村振兴地理学研究,亟需以问题为导向、战略为指向,以人地关系地域系统理论和人地系统科学为指导,致力于地表人地系统交互作用下乡村地域系统结构、转型过程、演变机理、分异格局、地域功能,以及乡村振兴途径与模式综合研究,科学把握乡村地域系统类型及其分异规律。本文以全国39164个乡镇为基本单元,采用定量和定性相结合的研究方法,诊断识别了制约中国乡村地域系统可持续发展的主导因子,划分了中国乡村地域系统类型,揭示了乡村地域系统分异格局,探明了不同类型区乡村振兴科学途径。结果表明:① 地理环境、村镇化水平、资源禀赋、人口流动程度和老龄化水平等是乡村地域系统分异的主导因子,反映了乡村发展自然本底特征以及外援动力、内生动力的大小。② 通过主导要素聚类和空间叠加分析,将中国乡村地域系统划分为12个一级区、43个二级区。一级区采用“地理区位+主导要素驱动力/约束力”的方法命名,二级区采用“地域范围+主导要素驱动力/约束力+乡村经济发展水平”命名。③ 不同类型区乡村振兴地域模式和路径不同,乡村振兴战略与规划的落地要因地制宜、分类施策。
[Liu Y S, Zhou Y, Li Y H. Rural regional system and rural revitalization strategy in China[J]. Acta Geographica Sinica, 2019, 74(12): 2511-2528.]

Rural regional system is a spatial system with certain structure, function and inter-regional relationship, which is composed of humanity, economy, resources and environment that are connected and interacted with each other. It is a regional multi-body system, including urban-rural integrity, rural synthesis, village-town organism, and housing-industry synergy. Targeting the rural regional system and supporting the rural revitalization strategy provides new opportunities and challenges for innovation of Chinese geography in the new era. Guided by the theory of regional system of human-land system and the science of human-land system, the research on rural revitalization geography should serve national strategy by finding solutions to problems hindering rural sustainable development, and make contribution to the comprehensive study of rural regional system structure, transformation process, evolution mechanism, differentiation pattern, regional function, and rural revitalization path and model under the interaction of surface's human-land system. There is an urgent requirement to better understand and reveal differences in the types of rural regional system and their differentiation law. Taking 39164 townships in China as research object, this paper used quantitative and qualitative methods to detect and identify the dominant factors that restrict the sustainable development of rural regional systems in China. Then we divided the types of Chinese rural regional systems, revealed the pattern of rural regional differentiation and further proposed scientific approaches to rural revitalization in different areas. Results demonstrate that topographic conditions, climate conditions, ruralization level, land resources endowment, population mobility and aging level are the dominant factors restricting the sustainable development of rural regional system, of which reflects the level of resource endowment, endogenous power and external aid of rural development. Through cluster analysis and spatial overlay of dominant factors, China's rural regional system can be divided into 12 first-class zones and 43 second-class zones. The first-class zones are named by means of 'geographical location + driving force of dominant factors', and the second-class zones are named by means of 'regional scope + driving force of dominant factors + economic development level'. The driving force of rural sustainable development in different regional types are varied. The regional pattern and path of rural revitalization in different types of areas are varied, and promoting the rural revitalization strategy should be based on local conditions to realize the coordination and sustainable development of rural economy, society, culture and ecosystem.

[2]
李文龙, 匡文慧, 吕君, 等. 北方农牧交错区人地系统演化特征与影响机理: 以内蒙古达茂旗为例[J]. 地理学报, 2021, 76(2): 487-502.
摘要
社会—生态系统适应性循环理论为理解人地系统结构与功能演变提供了新思路与分析框架。本文采用风险—适应能力指数评估乡村人地系统适应性,构建气候变化与政策实施双重驱动的农牧复合型乡村人地系统适应性评价体系,对1952—2017年达茂旗建旗以来乡村人地系统适应性循环演化的阶段、特征、主控因子及影响机理进行研究。结果显示:① 乡村人地系统经历了重组—快速发展阶段(1952—2002年),人口数量增长260%,耕地面积增长13%,牲畜数量增长134%,草场面积退化增加了16.33%;快速发展—稳定守恒阶段(2003—2010年),人口数量增长2.8%,耕地面积减少2.3%,牲畜数量减少13.6%,草场退化面积减少10.7%;稳定守恒—释放阶段(2011—2017年),人口数量减少2.6%,耕地数量减少0.2%,牲畜数量减少10.6%,草场退化面积减少3.8%。② 乡村人地系统适应性指数时间上呈现出缓慢上升(-0.016~0.031)、缓慢下降(0.031~0.003)、快速上升(0.003~0.088)的变化过程,空间上呈现“中部高度适应、北部中度适应、南部低度适应”格局。③ 1990—2000年系统适应性演化主控因子是人均有效灌溉面积(22.31%)、人均牲畜头数(23.47%),2005年是土地沙化程度(25.06%)、土地利用强度(21.27%),2010—2017年是农牧民人均收入(20.08%)、人均牲畜数量(18.52%)。④ 在气候暖干化与政策实施驱动下,农牧户与乡村社区两个尺度主体相互联系构成了乡村人地系统适应性循环演化层级结构,尺度间的关联作用影响着不同尺度主体适应行为,从而影响系统适应性循环演化趋势,使系统结构与功能呈现“协调—不协调”的循环往复波动发展态势。同时,小尺度的农牧户生计适应行也深刻影响着乡村人地系统未来的演化方向。
[Li W L, Kuang W H, Lv J, et al. Adaptive evolution mechanism of rural human-land system in farming-and-pastoral areas of northern China[J]. Acta Geographica Sinica, 2021, 76(2): 487-502.]

The theory on the cyclic adaptaion between society and ecosystem sheds new light on the evolution and internal structure of human-land system. This paper introduces the risk index (RI) and adaptation capacity index (ACI) to evaluate the rural human-land system, and sets up an evaluation index system for the adaptability of rural human-land system, under the effects of climate change and policy implementation. On this basis, the stages, features, control factors, and evolution mechanism were examined for the adaptability of rural human-land system in Darhan Mumingan United Banner from 1952 to 2017. The main results are as follows: (1) The evolution of the rural human-land system can be divided into three stages, namely, the reorganization and rapid development stage from 1952 to 2002 (population: +260%; cultivated land area: +13%; livestock: +134%; degradated grassland area: +16.33%), the rapid to stable development stage from 2003 to 2010 (population: +2.8%; cultivated land area: -2.3%; livestock: -13.6%; degradated grassland area: -10.7%), and the stable to release stage from 2011 to 2017 (population: -2.6%; cultivated land area: -0.2%; livestock: -10.6%; degradated grassland area: -3.8%). (2) With the elapse of time, the ACI of the rural human-land system went through a slow rise (-0.016-0.031), a slow decline (0.031-0.003), and a rapid rise (0.003-0.088). In terms of space, the adaptability is high in the middle, moderate in the north, and low in the south. (3) The adaptability evolution of the rural human-land system was mainly controlled by the per-capita effective irrigation area (22.31%) and the per-capita number of livestocks (23.47%) from 1990 to 2000, the desertification area of land (25.06%) and the land use intensity (21.27%) from 2000 to 2005, and the per-capita income of farmers and herdsmen (20.08%) and the per-capita number of livestocks (18.52%) from 2010 to 2007. (4) Under the effects of climate change and policy implementation, the cyclic adaptaion of the rural human-land system was propelled by the interactions between two kinds of subjects: farmers and herdsmen, and rural communities. The interaction affects the adaptive behavior of the two kinds of subjects, which in turn drives the cyclic evolution of the system. As a result, the system structure and functions developed alternatively between coordinated and uncoordinated states. Small-scale adaptive behaviors of farmers and herdsmen have a profound impact on the evolution of rural human-land system.

[3]
王成, 任梅菁, 胡秋云, 等. 乡村生产空间系统韧性的科学认知及其研究域[J]. 地理科学进展, 2021, 40(1): 85-94.
摘要
韧性作为乡村生产空间系统的重要属性,是乡村生产空间系统应对内外环境扰动时主动抵御(系统维持)、适应(系统演化)或者更新(系统突变)的一种可持续发展能力,是实现乡村振兴与可持续发展的必由之路。论文基于国内外韧性研究成果和乡村生产空间系统内涵与本质,科学认知乡村生产空间系统韧性的内涵;基于认识论与本体论,从扰动、利益相关者、系统状态、系统目的与韧性能力5个方面对乡村生产空间系统韧性进行质性研究,解构出扰动与脆弱性、脆弱性与韧性回馈、韧性评估与阈值效应、适应性治理等乡村生产空间系统韧性研究的基本研究域,以初步形成其研究框架;并从多学科理论融合与多方法集成、时空尺度关联和多维因素传导及利益相关者一体化适应性治理体系构建等方面厘定其未来研究重点。
[Wang C, Ren M J, Hu Q Y, et al. Rural production space system resilience and its research domains[J]. Progress in Geography, 2021, 40(1): 85-94.]

As an important attribute of rural production spatce system (RPSS), resilience is a sustainable ability, including persistence (system maintenance), adaptability (system evolution), and transformability (system mutation) in response to internal and external environmental disturbances. It is the only pathway to realizing rural revitalization and sustainable development in rural China. Based on the international and Chinese research and RPSS attributes, this study explored the connotations and essence of RPSS resilience. Meanwhile, based on the epistemology and ontology of philosophy, a qualitative model of RPSS resilience was developed considering the five dimensions of disturbance, stakeholders, state of system, objective of system, and ability of resilience. Applying this qualitative model, this study identified four main research contents of RPSS resilience, which include disturbance recognition and vulnerability analysis, the feedback relationship between vulnerability and resilience, resilience assessment and threshold effect analysis, and the development of adaptive governance system. This article also presented some future research focuses, which include new multidisciplinary and integrative methods, spatiotemporal scale association and multi-dimensional factor transmission, and the integrated development of adaptive governance system of stakeholders. This study may be helpful for the prevention and reduction of major risks and for promoting the development of rural revitalization and rural sustainable development in rural China.

[4]
邱明丽, 刘殿锋, 刘耀林. 乡村韧性理论框架与测度体系[J]. 中国土地科学, 2021, 35(8): 107-114.
[Qiu M L, Liu D F, Liu Y L. Review on theoretical framework and evaluation system of rural resilience[J]. China Land Science, 2021, 35(8): 107-114.]
[5]
王亚楠, 黄安, 高阳, 等. 万年县乡村地域系统韧性评价及其空间分异格局[J]. 水土保持研究, 2021, 28(6): 209-216
[Wang Y N, Huang A, Gao Y, et al. Resilience evaluation and spatial differentiation pattern of rural regional system in Wannian County[J]. Research of Soil and Water Conservation, 2021, 28(6): 209-216.]
[6]
李玉恒, 黄惠倩, 宋传垚. 贫困地区乡村经济韧性研究及其启示: 以河北省阳原县为例[J]. 地理科学进展, 2021, 40(11): 1839-1846.
摘要
韧性是乡村地域系统的基本属性,对于推进乡村振兴与高质量发展具有重要支撑作用。截至2020年底,中国如期完成了新时代脱贫攻坚目标任务,然而,一些脱贫地区乡村发展水平不高,面临外界风险与挑战冲击时存在返贫风险,亟需提升乡村韧性。论文选取燕山&#x02014;太行山集中连片贫困区的阳原县为研究对象,构建了&#x0201c;压力&#x02014;状态&#x02014;响应&#x0201d;模型(PSR),综合评价了14个乡镇、264个行政村的经济韧性。研究发现:① 阳原县乡村经济韧性平均值为0.13 (总分为1),水平偏低,乡村经济基础薄弱、发展质量不高;② 经济韧性水平较高的村庄主要分布于邻近交通干线地区,山地区和距离交通干线较远地区的乡村经济韧性水平较低;③ 农户家庭年人均纯收入偏低、人均耕地面积较少、乡村人均固定资产投资不足是经济韧性的关键制约因素。论文指出,应构建&#x0201c;农户个体&#x02014;乡村集体&#x02014;城镇中心体&#x0201d;的多级发展体系,强化乡村交通、通讯等基础设施建设和农户技能培训,壮大村集体经济,推进以重点镇、中心村、新型农村社区为载体的村镇化发展,实现村镇化与城市化&#x0201c;双轮驱动&#x0201d;。
[Li Y H, Huang H Q, Song C Y. Rural economic resilience in poor areas and its enlightenment: Case study of Yangyuan County, Hebei Province[J]. Progress in Geography, 2021, 40(11): 1839-1846.]

Resilience is a basic characteristic of the rural system, which plays a crucial role in rural revitalization. By the end of 2020, China had completed the mission of poverty alleviation in the new era. However, rural development in some areas is of low quality and when facing external risks and challenges, these areas have the risk of returning to poverty. Therefore it is urgent to improve rural resilience. This study selected Yangyuan County of Hebei Province in the contiguous poverty-stricken area of Yanshan-Taihang Mountains as the research object. The "Pressure-State-Response" (PSR) model was constructed to comprehensively evaluate the rural economic resilience. The study found that: 1) The average value of rural economic resilience in Yangyuan County is 0.13 (total score is 1), which indicates that the quality of rural economic development is not high. 2) The areas located near the town and township seats and close to the main traffic lines display high economic resilience. In contrast, mountainous areas and areas far from the main traffic lines display low economic resilience. 3) Low per capita income of rural households, low per capita arable land, and insufficient investment in rural fixed assets are the main constraints to economic resilience. The article proposed four aspects to improve rural resilience: establishing multi-level development system of "individual farmers-rural collectives-urban centers", strengthening the development of infrastructure such as rural transportation and communication systems, promoting farmers' skill training, and strengthening the collective economy of the villages. Developing key towns-central villages-new rural communities effectively accelerates the development of ruralization, which drives rural development together with urbanization.

[7]
岳俞余, 高璟. 基于社会生态系统视角的乡村聚落韧性评价: 以河南省汤阴县为例[J]. 小城镇建设, 2019, 37(1): 5-14.
[Yue Y Y, Gao J. Revaluation of rural settlement toughness based on social ecosystem perspective: Taking Tangyin County Henan Province as an example[J]. Development of Small Cities & Towns, 2019, 37(1): 5-14.]
[8]
李玉恒, 黄惠倩, 王晟业. 基于乡村经济韧性的传统农区城乡融合发展路径研究: 以河北省典型县域为例[J]. 经济地理, 2021, 41(8): 28-33.
[Li Y H, Huang H Q, Wang S Y. Path of urban-rural integrated development in traditional agricultural zones based on rural economic resilience: The study of typical counties of Hebei Province[J]. Economic Geography, 2021, 41(8): 28-33.]
[9]
王成, 代蕊莲, 陈静, 等. 乡村人居环境系统韧性的演变规律及其提升路径: 以国家城乡融合发展试验区重庆西部片区为例[J]. 自然资源学报, 2022, 37(3): 645-661.
[Wang C, Dai R L, Chen J, et al. Research on the evolution law and promotion pathway of rural human settlements system resilience: A case study of Western Chongqing, a national pilot area for urban-rural integration[J]. Journal of Natural Resources, 2022, 37(3): 645-661.]
[10]
唐任伍, 郭文娟. 乡村振兴演进韧性及其内在治理逻辑[J]. 改革, 2018, (8): 64-72.
[Tang R W, Guo W J. The evolution resilience and internal governance logic of rural revitalization[J]. Reform, 2018, (8): 64-72.]
[11]
李南枢, 何荣山. 社会组织嵌入韧性乡村建设的逻辑与路径[J]. 中国农村观察, 2022, (2): 98-116.
[Li N S, He R S. The logic and path of social organizations’ participation in the construction of resilient villages[J]. China Rural Survey, 2022, (2): 98-116.]
[12]
刘永茂, 李树茁. 农户生计多样性弹性测度研究: 以陕西省安康市为例[J]. 资源科学, 2017, 39(4): 766-781.
摘要
在新的扶贫工作形势下,农户脱贫致富与自身的关系越来越密切,为了分析政府、社区支持活动对农户生计多样性弹性的作用与影响,本文提出了一个通用的弹性测度、分析研究框架,基于陕西省安康市农户生计与环境调查数据,采用实证研究方法对农户弹性进行了计算、测度与分析。研究发现:普遍弹性、特定弹性为常数,大小与可转换性有关;可转换性改变了脆弱性与适应性之间的关系,收入稳定性增加了构成不确定性;弹性可以用来判断发展能力和生计多样性可持续性,在落实识别贫困人口解决贫困问题的思路时,寻找穷人并支持的过程会影响整体农户、社区生计活动弹性,降低了农户、社区可持续发展能力。本文实现了生计多样性弹性量化研究从评价体系到测量分析体系的进展,为新形势下扶贫开发工作战略调整提供了基础理论研究和实践分析支持。
[Liu Y M, Li S Z. Measuring household livelihood diversification resilience: A case study in Ankang City of Shaanxi Province[J]. Resources Science, 2017, 39(4): 766-781.]
[13]
孟丽君, 黄灿, 陈鑫, 等. 曲周县耕地利用系统韧性评价[J]. 资源科学, 2019, 41(10): 1949-1958.
摘要
耕地韧性评价是耕地资源管理的有效方式,对于保障耕地可持续利用与粮食安全具有重要意义。本文提出了耕地利用系统韧性的概念,基于表象韧性与潜在韧性两个层面,从稳定增长能力、高效利用能力、抵抗干扰能力、资源支撑能力4个方面建立了耕地利用系统韧性评价指标体系,并选取河北省曲周县进行实证分析,对曲周县1973—2014年的耕地利用进行阶段划分,并对不同阶段耕地利用系统韧性进行评价。结果表明:①曲周县耕地利用依据耕地利用技术与耕地产出水平可划分为3个阶段:改土治碱阶段(1973—1985年),稳定发展阶段(1986—2002年),高效提升阶段(2003—2014年)。②高效提升阶段的表象韧性明显高于前两个阶段,其耕地单产水平最高,达到12746.33 kg/hm <sup>2</sup>,粮食生产波动指数较小为8%,水热资源利用指数为1.58,抗逆指数为0.97。技术进步是促使耕地利用系统表象韧性提升的主要原因。③高效提升阶段的潜在韧性最低,其水资源平衡指数仅为-0.36,区域水资源失去平衡,亟需对灌溉技术与灌溉利用方式进行改善,增强耕地利用系统韧性。应提高耕地系统的韧性,不断增强耕地对外界干扰的适应能力,从而满足当前耕地资源“数量、质量、生态”三位一体的管理需求。
[Meng L J, Huang C, Chen X, et al. Evaluation of cultivated land system resilience of Quzhou County[J]. Resources Science, 2019, 41(10): 1949-1958.]

Evaluation of cultivated land resilience is an effective way to manage cultivated land resources and ensure the sustainable use of cultivated land and food security. This research put forward the concept of cultivated land system resilience and established the evaluation index system including stable growth capacity, efficient utilization ability, interference resistance ability, and resource support ability based on apparent resilience and potential resilience. This study selected Quzhou County of Hebei Province as the case study area and divided cultivated land utilization of the county from 1973 to 2014 into stages, and evaluated the resilience of cultivated land system in different stages. The results show that: (1) Cultivated land use was divided into three stages based on cultivated land use technology and cultivated land output level: saline-alkali land treatment stage (1973-1985), stable development stage (1986-2002), and rapid development stage (2003-2014); (2) The apparent resilience at the rapid development stage was higher than the previous two stages, the yield per unit area of cultivated land was the highest, reaching 12476.33 kg/hm 2, fluctuation index value of grain production was 8%, and comprehensive utilization index of water and heat resources was 1.58, stress resistance index was 0.97. Technology progress was the main reason for this change; (3) The potential resilience at the rapid development stage was the lowest, it’s water resources balance index value was -0.36, indicating that regional water resources were out of balance. Therefore, it is urgent to improve irrigation technology and the application of irrigation at this stage to enhance the resilience of cultivated land system. The resilience of the cultivated land system and the adaptability to external disturbances should be continuously enhanced to meet the management of the current “quantity, quality and ecology” of cultivated land.

[14]
马江浩, 陈佳, 杨新军, 等. 土地利用变化对干旱区乡村社会恢复力的影响: 以民勤绿洲为例[J]. 资源科学, 2021, 43(8): 1615-1627.
摘要
土地利用是区域经济社会活动的基本形式和重要载体,土地利用变化会对区域社会系统产生重要影响。从土地利用变化视角切入,探究其对干旱区乡村社会恢复力时空演变的影响,对缓解干旱地区乡村人地矛盾、促进其乡村转型发展具有重要现实意义。研究基于恢复力评估分析框架,从社会、经济、人文和基础设施4个方面构建干旱区乡村社会恢复力评价指标体系,并以民勤绿洲作为案例区,综合运用ArcGIS空间分析、地理探测器等方法,分析了石羊河流域重点治理前后民勤绿洲乡村社会恢复力时空演变特征,探讨了土地利用结构和功能变化对乡村社会恢复力的影响。研究结果表明:①民勤绿洲乡村社会恢复力呈现中部和南部乡村不断升高,北部乡村先降低后升高的演变过程;②土地利用结构和功能变化会对乡村社会恢复力时空分异产生显著影响。其中,耕地和生态用地之间的相互转移对恢复力变化方向的影响具有不确定性,2000&#x02014;2007年草地向耕地转移以及2007&#x02014;2015年耕地向生态用地转移会提升恢复力;不同时期影响恢复力的主导土地利用功能因子存在差异,流域重点治理前土地垦殖率和人口密度的影响更显著,流域重点治理后生态用地占比和乡村人口人均耕地面积的影响更显著。
[Ma J H, Chen J, Yang X J, et al. Influence of land use change on rural social resilience in arid areas: Taking the Minqin Oasis as an example[J]. Resources Science, 2021, 43(8): 1615-1627.]

Land use is the basic form and important carrier of regional economic and social activities. Land use change will pose a significant influence on regional social systems. Examining the impact of land use change on the temporal and spatial evolution of rural social resilience is of great practical significance for alleviating the conflict between humans and land and promoting the rural transformation and development in arid areas. Based on the analytical framework of resilience assessment, this study constructed an evaluation indicator system of rural social resilience in arid areas from four aspects of society, economy, people, and infrastructure, and took the Minqin Oasis as a case area. ArcGIS spatial analysis, land use transfer matrix, and geographical detector were used to analyze the temporal and spatial change characteristics of rural social resilience of the Minqin Oasis before and after the key watershed management project of the Shiyang River Basin and to explore the impact of structural and functional changes of land use on rural social resilience. The results show that: (1) Rural social resilience of the Minqin Oasis presented different processes of change in different regions. The resilience of the central and southern villages increased continuously, while the northern villages decreased first and then increased. (2) The structural and functional changes of land use have a significant impact on the temporal and spatial differentiation of rural social resilience. From the perspective of the impact of land use change on the change of resilience, the transfer of grassland to cultivated land enhanced the resilience from 2000 to 2007. However, the transfer of cultivated land to ecological land improved the resilience from 2007 to 2015. With regard to the dominant influencing factors of social resilience in different periods, the impact of land reclamation rate and population density on the spatial differentiation of resilience was more significant before the implementation of the key watershed management project, while the impact of ecological land proportion and per capita cultivated land area of rural population was even more significant after the key watershed management project implementation.

[15]
Huang X J, Li H, Zhang X L, et al. Land use policy as an instrument of rural resilience: The case of land withdrawal mechanism for rural homesteads in China[J]. Ecological Indicators, 2018, 87: 47-55.
[16]
Pelucha M, Kourilova J, Kasabov E, et al. Expanding the ontological horizons of rural resilience in the applied agricultural research policy: The case of the Czech Republic[J]. Journal of Rural Studies, 2021, 82: 340-350.
[17]
Neil A. Rural geography II: Scalar and social constructionist perspectives on climate change adaptation and rural resilience[J]. Progress in Human Geography, 2019, 43(1): 183-191.
[18]
魏宏森, 曾国屏. 系统论: 系统科学哲学[M]. 北京: 世界图书出版公司, 2009.
[Wei H S, Zeng G P. System Theory: Philosophy of System Science[M]. Beijing: World Publishing Corporation, 2009.]
[19]
李玉恒, 阎佳玉, 刘彦随. 基于乡村弹性的乡村振兴理论认知与路径研究[J]. 地理学报, 2019, 74(10): 2001-2010.
摘要
在人类社会发展转型过程中出现的乡村衰退问题已成为全球性趋势,亟需实施乡村振兴。科学、系统把握乡村地域系统的演化规律,深入揭示乡村系统与外界发展环境的交互作用模式,提升乡村自身抵御、适应外界环境变化的弹性,是实现乡村振兴与可持续发展的必由之路。本文从乡村弹性视角理论解析了乡村地域系统演化与乡村振兴。研究发现:① 乡村弹性包含乡村系统对外界扰动冲击的抵御能力、适应能力与实现全新发展的转型能力。② 乡村演化分异是乡村地域系统与外界发展主导因素交互作用的结果。在此过程中,乡村弹性决定着不同发展阶段乡村地域系统的演化方式和结果。③ 打造多功能乡村、实施乡村整治工程、培育乡村社会资本对构建弹性乡村起着重要的推动作用。文章强调应科学识别乡村地域系统,差异化制定培育与提升乡村弹性的实施方案,实现乡村系统功能、结构及运行达到均衡状态。
[Li Y H, Yan J Y, Liu Y S. The cognition and path analysis of rural revitalization theory based on rural resilience[J]. Acta Geographica Sinica, 2019, 74(10): 2001-2010.]

The rural decline which emerged in the process of human development and transformation has become a global trend, and rural revitalization is urgently needed. It is the only way to realize rural revitalization and sustainable development by scientifically and systematically grasping the development and evolution of rural regional systems, revealing the interaction mode of rural system and external development environment, as well as improving the rural resilience to resist and adapt to changes in the external environment. The article analyzes the development and evolution of rural regional systems and rural revitalization from the perspective of rural resilience. The study found that: (1) Rural resilience includes the resilience, adaptability and transformation ability of the rural system to the impact of external disturbances. (2) Rural development evolution differentiation is a comprehensive representation of the interaction between rural regional systems and the dominant factors of external development. In this process, the resilience of rural systems in different regions to resist external development disturbances has been improved or declined. (3) Creating multi-functional villages, implementing rural rectification projects, and cultivating rural social capital play an important role in promoting the construction of rural resilience. The article emphasizes that the rural regional system should be scientifically identified and differentiated implementation plans are formulated to cultivate and enhance rural resilience to achieve balanced function, structure and operation of rural system.

[20]
张鹏, 于伟, 张延伟. 山东省城市韧性的时空分异及其影响因素[J]. 城市问题, 2018, (9): 27-34.
[Zhang P, Yu W, Zhang Y W. Spatial-temporal differentiation and its influencing factors of Shandong Province’s urban resilience[J]. Urban Problems, 2018, (9): 27-34.]
[21]
丁建军, 王璋, 柳艳红, 等. 中国连片特困区经济韧性测度及影响因素分析[J]. 地理科学进展, 2020, 39(6): 924-937.
摘要
巩固脱贫攻坚成效,提升抗风险与自我发展能力对连片特困区而言意义深远。经济韧性作为反映区域经济应对冲击时抵抗、恢复、调整及转型能力的指标,能够有效评估连片特困区的抗冲击能力和返贫风险。基于中国12个连片特困区的地市级数据,通过构建综合指标体系及核心评估变量对其经济韧性进行了测度与对比,并运用多种回归模型识别主要影响因素,结果发现:① 连片特困区经济韧性小于非连片特困区,二者虽均呈逐年递增趋势,但非连片特困区增速略快。进一步对指数分解后发现,连片特困区与非连片特困区经济韧性的差距主要来自于适应与调整能力的差异。② 罗霄山区、燕山—太行山区、大别山区经济韧性均值最高,而滇西边境山区、六盘山区、四省藏区最低,东西差异明显。③ 大部分片区经济韧性逐年递增,经济韧性越高的片区往往增速越快,但四省藏区、六盘山区、吕梁山区经济韧性出现下降趋势,其中,吕梁山区下降最明显。在对不同片区经济韧性分解后发现,不同片区间适应与调整能力差异最大,创新与转型能力差异最小。④ 地理区位、人均固定资产投资、外贸依存度、财政自给水平、地方财政教育经费支出、专利授权数等变量对连片特困区经济韧性存在显著影响。⑤扶贫政策有利于增强片区经济韧性,经济韧性较低的片区对扶贫政策的依赖程度更高,其中,四省藏区、六盘山区、滇西边境山区对扶贫政策依赖最为严重。
[Ding J J, Wang Z, Liu Y H, et al. Measurement of economic resilience of contiguous poverty-stricken areas in China and influencing factor analysis[J]. Progress in Geography, 2020, 39(6): 924-937.]

It is of great significance to consolidate the achievements of poverty alleviation and enhance development capacity and the ability to resist shocks in contiguous poverty-stricken areas. Economic resilience, as an indicator of the resistance, recovery, adjustment, and transformation ability of regional economic systems in response to shocks, can effectively reflect the ability to resist shocks and the risk of returning to poverty in contiguous poverty-stricken areas. Based on the data of 12 contiguous poverty-stricken areas in China, economic resilience was measured and compared by constructing a comprehensive index system and core evaluation variables, and a variety of regression models were used to identify the main influencing factors. The results show that: 1) The economic resilience of contiguous poverty-stricken areas is lower than non-contiguous poverty-stricken areas. In both types of areas economic resilience has been increasing year by year, but the growth rate of non-contiguous poverty-stricken areas is slightly faster. After decomposing the index, it was found that the difference in economic resilience between contiguous poverty-stricken areas and non-contiguous poverty-stricken areas is primarily due to the ability to adapt and adjust. 2) Luoxiao Mountains, Yanshan-Taihang Mountains, and Dabie Mountains have the highest mean values of economic resilience, while the border mountainous areas in western Yunnan Province, Liupan Mountains, and the Tibetan area of four provinces have the lowest mean values of economic resilience. 3) The economic resilience of most areas was increasing. The areas with higher economic resilience tend to grow faster, but the economic resilience of the Tibetan area of four provinces, Liupan Mountains, and Lvliang Mountains showed a downward trend. Among them, the decline in Lvliang Mountains is the most obvious. After decomposing the economic resilience of different regions, it was found that the differences in adaptation and adjustment capabilities were the largest in different regions, and the differences in innovation and transformation capabilities were the smallest. 4) Variables such as geographical location, assets investment per capita, dependence on international trade, the level of self-sufficiency in finance, expenditure on education, and the number of patents have significant effects on the economic resilience and its growth in poverty-stricken areas. 5) Poverty alleviation policy is conducive to enhancing economic resilience. Areas with low economic resilience are highly dependent on poverty alleviation policies, among which the Tibetan areas in four provinces, Liupan Mountains, and the border mountainous areas of western Yunnan are most heavily dependent on poverty alleviation policies.

[22]
胡霄, 李红波, 李智, 等. 河北省县域乡村韧性测度及时空演变[J]. 地理与地理信息科学, 2021, 37(3): 89-96.
[Hu X, Li H B, Li Z, et al. Measurement and spatio-temporal evolution of rural resilience at county level in Hebei Province[J]. Geography and Geo-Information Science, 2021, 37(3): 89-96.]
[23]
Anselin L. Spatial Econometrics: Methods and Models[M]. Dordrecht: Kluwer Academic Publishers, 1988.
[24]
王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134.
摘要
空间分异是自然和社会经济过程的空间表现,也是自亚里士多德以来人类认识自然的重要途径。地理探测器是探测空间分异性,以及揭示其背后驱动因子的一种新的统计学方法,此方法无线性假设,具有优雅的形式和明确的物理含义。基本思想是:假设研究区分为若干子区域,如果子区域的方差之和小于区域总方差,则存在空间分异性;如果两变量的空间分布趋于一致,则两者存在统计关联性。地理探测器q统计量,可用以度量空间分异性、探测解释因子、分析变量之间交互关系,已经在自然和社会科学多领域应用。本文阐述地理探测器的原理,并对其特点及应用进行了归纳总结,以利于读者方便灵活地使用地理探测器来认识、挖掘和利用空间分异性。
[Wang J F, Xu C D. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134.]

Spatial stratified heterogeneity is the spatial expression of natural and socio-economic process, which is an important approach for human to recognize nature since Aristotle. Geodetector is a new statistical method to detect spatial stratified heterogeneity and reveal the driving factors behind it. This method with no linear hypothesis has elegant form and definite physical meaning. Here is the basic idea behind Geodetector: assuming that the study area is divided into several subareas. The study area is characterized by spatial stratified heterogeneity if the sum of the variance of subareas is less than the regional total variance; and if the spatial distribution of the two variables tends to be consistent, there is statistical correlation between them. Q-statistic in Geodetector has already been applied in many fields of natural and social sciences which can be used to measure spatial stratified heterogeneity, detect explanatory factors and analyze the interactive relationship between variables. In this paper, the authors will illustrate the principle of Geodetector and summarize the characteristics and applications in order to facilitate the using of Geodetector and help readers to recognize, mine and utilize spatial stratified heterogeneity.

[25]
李连刚, 张平宇, 程钰, 等. 黄河流域经济韧性时空演变与影响因素研究[J]. 地理科学, 2022, 42(4): 557-567.
摘要
黄河流域应对外部冲击的经济韧性能力是实现黄河流域生态保护和高质量发展国家战略的关键。以黄河流域91个地市单元为研究对象,构建经济韧性指数,分析了黄河流域面对2008年国际金融危机的经济韧性的时空变化特征,并探究其决定因素。结果发现:① 黄河流域面对国际金融危机的抵抗力随着时间的推移呈现出显著下降的态势,表现出显著的空间集聚特征,黄河流域中南部地区经济韧性水平相对较高;② 黄河流域经济韧性存在显著的正向空间自相关特征,在空间上表现出经济韧性水平高(低)的城市在空间上集聚分布,且空间自相关指数呈现出上升的趋势;③ 相关多样性、专业化、政府管控和第三产业比重均显著的促进黄河流域经济韧性水平提升,而当前经济发展模式不利于经济韧性水平的提升;④ 黄河流域经济韧性具有显著的空间溢出效应,高经济韧性水平城市的发展将促进周边城市经济韧性水平的提升。
[Li L G, Zhang P Y, Cheng Y, et al. Spatio-temporal evolution and influencing factors of economic resilience in the Yellow River Basin[J]. Scientia Geographica Sinica, 2022, 42(4): 557-567.]

The economic resilience of the Yellow River Basin in response to external shocks is the key to achieving the national strategy of ecological protection and high-quality development of the Yellow River Basin. We takes 91 cities in the Yellow River Basin as the research object and constructs an economic resilience index. The article analyzes the spatio-temporal characteristics of the economic resilience of the Yellow River Basin in the face of the 2008 international financial crisis, and explores its determinants. The results show that: 1) The resistance of the Yellow River Basin to the international financial crisis shows a significant decline over time, the economic resilience of the Yellow River Basin shows significant spatial agglomeration characteristics, and the economic resilience level of the south central part of the Yellow River Basin is relatively high; 2) There is a significant positive spatial autocorrelation in the economic resilience of the Yellow River Basin, which shows that cities with high (low) level of economic resilience are clustered in space, and the spatial autocorrelation index shows an upward trend; 3) Related variety, specialization, government control and the proportion of tertiary industry significantly promote the improvement of economic resilience in the Yellow River Basin, while the current economic development model is not conducive to the improvement of economic resilience; 4) The economic resilience of the Yellow River Basin has a significant spatial spillover effect, and the development of cities with high economic resilience level will promote the economic resilience of surrounding cities.

[26]
陶洁怡, 董平, 陆玉麒. 长三角地区生态韧性时空变化及影响因素分析[J/OL]. 长江流域资源与环境, (2022-04-11) [2022-05-16]. http://kns.cnki.net/kcms/detail/42.1320.X.20220409.1234.002.html.
[Tao J Y, Dong P, Lu Y Q. Spatial-temporal analysis and influencing factors of ecological resilience in the Yangtze River Delta[J/OL]. Resources and Environment in the Yangtze Basin, (2022-04-11) [2022-05-16]. http://kns.cnki.net/kcms/detail/42.1320.X.20220409.1234.002.html.]
[27]
孙久文, 陈超君, 孙铮. 黄河流域城市经济韧性研究和影响因素分析: 基于不同城市类型的视角[J]. 经济地理, 2022, 42(5): 1-10.
[Sun J W, Chen C J, Sun Z. Urban economic resilience and its influencing factors in the Yellow River Basin: From the perspective of different types of city[J]. Economic Geography, 2022, 42(5): 1-10.]

基金

国家重点研发计划项目(2018YFD1100804)
重庆市社会科学规划项目(2022NDYB51)
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