还原论与农户地理研究

依据科学研究的还原论方法和数学逻辑,分析指出农区经济活动的最基本组织单元是农户。基于地理学、经济学、组织学相关原理,建立了农户地理研究的基本框架。农户地理研究的主要内容包括农户自主发展能力研究、农户区位研究、农户发展环境研究、农户与地理环境相互关系研究。除了单一农户研究之外,农户地理还包括通过正式联系或非正式联系所形成的农户群研究。中国的特殊国情决定了农户在农区经济中的重要地位,农户与地理环境的长期相互作用轨迹及其相互印记又决定了农户地理研究在地理学中的特殊意义。沿着这一方向的研究,有利于建立富有中国特色的经济地理理论。     

生计资产差异对农户耕地保护补偿模式选择的影响——渝西方山丘陵不同地带样点村的实证分析

耕地比较效益低下引致耕地保护经济补偿成为破解耕地保护问题的客观选择,而影响经济补偿成败的关键因素之一在于补偿模式设计是否符合农户诉求,因此定量刻画农户生计资产差异对其补偿模式选择的影响便是补偿模式设计的核心.运用参与式农村评价法(PRA)对渝西方山丘陵3 个样点村392 户农户进行了实地调查,构建了农户生计资产六边形计量分析框架,运用灰色关联分析模型和Probit 回归分析法对农户生计资产差异与补偿模式选择意愿间耦合关系的存在性和影响度进行了分析,并设计了差别化耕地保护经济补偿模式.研究结果表明：① 农户生计资产存在属性差异和空间分异.农户生计总资产呈现由自给型纯农户到非农户递增的总体趋势,空间上存在海拔越高生计资产越低的趋势.② 农户对耕地保护经济补偿模式的选择意愿存在随农户生计资产差异由“成都模式”向“佛山模式”过渡的趋势,不同地带农户模式选择意愿存在空间分异.③ 农户生计资产差异与耕地保护补偿模式选择间存在耦合关系,自然资产与农户模式选择意愿呈负相关,社会资产对农户的模式选择影响最小,金融资产对农户模式选择的影响较弱,人力资产和物质资产对农户决策均产生较显著影响,心理资产对农户的决策影响最为显著.④ 根据农户生计资产缺乏情况为7 种类型农户设计了概念性的补偿模式体系,并就补偿方法、补偿依据、补偿标准和补偿资金来源问题进行了探讨.     

Vulnerability of families and households to natural hazards: A case study of storm surge flooding in Sarasota County,Florida

The role that family and household structure, size, and ethnic/racial composition play in increasing or decreasing vulnerability to natural hazards, which has been missing from the literature, is investigated. The study first reviews the conceptual foundations of the relationships between families/households and natural hazards vulnerability and then employs a principal components analysis to uncover spatial variations in the vulnerability of families and households to hurricane storm surge hazards in Sarasota County, Florida. The analysis identifies and maps five principal components that explain approximately 83% of the variance in family/household population: nuclear families/households; Black families/households; nonfamily, young adult group households; Hispanic families/households; and Asian families/households. Comparison of storm surge risk maps with the locations of these families/households shows the relative vulnerability of each of these family/household categories, with elderly householders living alone on exposed barrier islands being the most vulnerable. The research suggests that family and household structures integrate several socio-demographic vulnerability indicators central to most social vulnerability assessments. Results indicate that future research and hazard mitigation policies should focus on families and households as core analytical units. Findings also suggest that recognizing the diversity of families and households is important to reducing vulnerability to natural hazards.     

社会—生态系统体制转换视角下的黄土高原乡村转型发展——以长武县洪家镇为例

社会—生态系统理论为中国乡村转型发展的过程格局研究提供了新的分析思路,运用体制转化理论及其研究框架,选取陕西省长武县洪家镇为案例地,从村域尺度社会—生态系统体制变化为切入点揭示了当地乡村转型的背景和环境因素,重点探讨农户尺度的社会—生态系统体制转换影响因素及其稳健性,从微观角度审视西北乡村转型的基本特征,主要结论包括：① 当地乡村社会—生态系统体制已由传统农业体制转变为新型农业体制,其中某些家庭体制正在向非农体制转换。② 家庭特征是农户体制发生转换的客观条件;耕地质量、劳动力数量与质量是农户体制转换的内在动因;户主年龄、文化水平及社会网络是农户体制转换方向的决定因素。③ 农户家庭体制转换呈现出发散和聚合并存现象,且不同家庭的稳健性存在明显差异,基于种植业结构和收入对农户家庭进行分类,不同类型农户家庭体制的稳健型依次表现为其：苹果非农均衡型>非农收入主导型>粮食非农均衡型>苹果收入主导型>传统收入主导型。最后基于农户视角对乡村转型的微观研究进行探讨,并提出后续深化研究的方向和实践启示。     

青海高原西宁城镇社区家庭能耗直接碳排放研究

选取青海高原城市西宁为研究对象,开展家庭能源消费问卷入户调查,建立高原城市家庭能源消费数据库(N=500),采用探索性空间数据分析方法,总结分析家庭能耗碳排放的空间特征与驱动因素,得出以下结论：(1)西宁市家庭人均能源消费量与人均能耗碳排放平均值分别为10.57 kgce/d和6.11 kg/d,取暖、厨房设备及热水器设备是家庭能耗及碳排放的主要来源;(2)西宁市人均家庭能源消费碳排放总体呈现出高值区(HH)、低值区(LL)相对集聚,而局部地区也存在高低值区(HL)和低高值区(LH)集聚现象,其空间规律呈现明显的异质性;(3)家庭收入、地理环境以及建筑特征等因素是人均家庭能源消费碳排放空间异质性形成的主要因素。     

快速城镇化地区外来人口入户时空特征与影响因素分析 ——基于2010～2015年东莞积分入户全样本数据

以快速城镇化代表地区东莞为案例,采用已经实现入户的全样本人口数据,分析外来人口入户的时空变化特征及其影响因素。研究发现：外来人口的积分入户随时间变化具有明显的阶段特征,与外来人口总量的空间存在一定差异;外来人口入户随年龄增加呈现先增后减倒U型的曲线,入户的外来人口结构趋向于男性化、高学历化;积分入户政策调整对入户人数变化非常显著,且具有明显的选择性和导向性;迁入地的社会经济水平与公共服务容量对积分入户有较强的影响,服务业经济对外来人口的吸引力高于制造业经济;连续居住和拥有住房是外来人口户籍转变的关键性标志,子女入学是现阶段外来人口实现入户的核心特征。从推动优质教育资源均衡发展、优化与完善积分制政策作用、提升城镇经济水平和空间品质等方面提出相关政策启示。     

西藏农牧区家庭生活用水特征及其影响因素

农村家庭用水结构调查与影响因素分析是分析农村用水情况,保障用水安全的基础。采用问卷调查和实测的方式获取西藏自治区9个县（市、区）的84个家庭的用水数据,对比分析不同家庭的用水量及用水结构,总结了西藏农村家庭用水的影响因素。研究表明：农村家庭人均生活用水量在33~38 L/d之间,家庭差异显著,主要集中在洗衣、洗菜、洗碗用水三项,家庭生活用水的主要用水项是卫生用水和厨房用水;生产方式与文化风俗习惯影响家庭用水水平,人口组成影响用水结构,常住人口数和家庭收入水平与家庭人均用水量呈现显著负相关。     

Impact of farmer households’ livelihood assets on their options of economic compensation patterns for cultivated land protection简

With rapid urbanization and the socio-economic transformation, cultivated land protection has gradually become a major concern in China. The economic compensation plays a crucial role in promoting cultivated land protection and improving the utilization ratio of cultivated land. Farmer household＇s satisfaction has a great influence on the effectiveness of compensation. Therefore, households＇ willingness to select the economic compensation pattern for cultivated land protection has been considered and re-examined. By employing Participatory Rural Appraisal method （PRA）, 3 villages and 392 households were investigated and sampled in mesa and hilly areas of Chongqing. Then a quantitative analysis framework of household livelihood hexagon has been developed to quantify the livelihood assets of differ- ent farmer households. Finally, the Gray Relation Model and Probit Regression Model have been employed to explore the coupling relationship between the household livelihood assets and their compensation pattern options. The results show that there are both qualitative and spatial heterogeneity in household livelihood assets. We found that the inequality of livelihood assets is evident for five household types. There is a spatial trend that the higher the eleva- tion, the less livelihood assets are. In addition, their options of economic compensation pat- tern vary from Chengdu Pattern to Foshan Pattern due to their difference in livelihood assets and difference in location. In detail, there is a coupling relationship between household live- lihood assets and their compensation pattern; negative correlation is observed between natural assets value and household pattern options, while the other livelihood assets have positive impacts on compensation pattern in varying degrees, which from the top are psy- chological assets, human assets, physical assets, financial assets, and social assets respec- tively. A conceptual compensation pattern system has been designed to meet the demands for farmer households mainly according to their shortage in livelihood assets. In addition, compensation method, compensation standard, the basis of compensation and the source of compensation funds have been proposed accordingly.     

生计资产差异对农户耕地保护经济补偿模式选择的影响(英文)

With rapid urbanization and the socio-economic transformation, cultivated land protection has gradually become a major concern in China. The economic compensation plays a crucial role in promoting cultivated land protection and improving the utilization ratio of cultivated land. Farmer household's satisfaction has a great influence on the effectiveness of compensation. Therefore, households' willingness to select the economic compensation pattern for cultivated land protection has been considered and re-examined. By employing Participatory Rural Appraisal method(PRA), 3 villages and 392 households were investigated and sampled in mesa and hilly areas of Chongqing. Then a quantitative analysis framework of household livelihood hexagon has been developed to quantify the livelihood assets of different farmer households. Finally, the Gray Relation Model and Probit Regression Model have been employed to explore the coupling relationship between the household livelihood assets and their compensation pattern options. The results show that there are both qualitative and spatial heterogeneity in household livelihood assets. We found that the inequality of livelihood assets is evident for five household types. There is a spatial trend that the higher the elevation, the less livelihood assets are. In addition, their options of economic compensation pattern vary from Chengdu Pattern to Foshan Pattern due to their difference in livelihood assets and difference in location. In detail, there is a coupling relationship between household livelihood assets and their compensation pattern; negative correlation is observed between natural assets value and household pattern options, while the other livelihood assets have positive impacts on compensation pattern in varying degrees, which from the top are psychological assets, human assets, physical assets, financial assets, and social assets respectively. A conceptual compensation pattern system has been designed to meet the demands for farmer households mainly according to their shortage in livelihood assets. In addition, compensation method, compensation standard, the basis of compensation and the source of compensation funds have been proposed accordingly.     

空间尺度视角下的家庭能源消费研究进展与展望

能源是地理学研究的核心议题,家庭能源消费活动作为区域典型人地关系活动的形式,是能源地理精细化研究的一大趋势。论文基于地理学的空间尺度视角,回顾了能源地理研究的缘起、家庭能源消费的空间特征、形成机制及数据来源,对存在问题进行述评,并从当前家庭能源消费面临的机遇出发,对未来值得进一步深入研究的主题进行了展望和阐释。主要得到3个结论：① 构建全景式家庭能源数据调查框架,将地域类型与能源类型、数量、用途纳入调查的视域;② 中观尺度的研究有待加强,通过微观—中观—宏观尺度内关系的协调,从一个相互嵌套式的结构整体中去认识和把握家庭能源消费特征及规律;③ 构建家庭属性、地理因素、生活方式等多要素综合集成分析框架,剖析家庭能源消费空间特征的形成动因,实现对家庭能源消费空间分异过程的本质理解。研究有助于地理学能源领域的空间研究和实践的国际化,对中国家庭能源消费的理论视角补充具有积极的学科意义。     

Impact of farmer households’livelihood assets on their options of economic compensation patterns for cultivated land protection

With rapid urbanization and the socio-economic transformation,cultivated land protection has gradually become a major concern in China. The economic compensation plays a crucial role in promoting cultivated land protection and improving the utilization ratio of cultivated land. Farmer household's satisfaction has a great influence on the effectiveness of compensation. Therefore,households' willingness to select the economic compensation pattern for cultivated land protection has been considered and re-examined. By employing Participatory Rural Appraisal method (PRA),3 villages and 392 households were investigated and sampled in mesa and hilly areas of Chongqing. Then a quantitative analysis framework of household livelihood hexagon has been developed to quantify the livelihood assets of different farmer households. Finally,the Gray Relation Model and Probit Regression Model have been employed to explore the coupling relationship between the household livelihood assets and their compensation pattern options. The results show that there are both qualitative and spatial heterogeneity in household livelihood assets. We found that the inequality of livelihood assets is evident for five household types. There is a spatial trend that the higher the elevation,the less livelihood assets are. In addition,their options of economic compensation pattern vary from Chengdu Pattern to Foshan Pattern due to their difference in livelihood assets and difference in location. In detail,there is a coupling relationship between household livelihood assets and their compensation pattern;negative correlation is observed between natural assets value and household pattern options,while the other livelihood assets have positive impacts on compensation pattern in varying degrees,which from the top are psychological assets,human assets,physical assets,financial assets,and social assets respectively. A conceptual compensation pattern system has been designed to meet the demands for farmer households mainly according to their shortage in livelihood assets. In addition,compensation method,compensation standard,the basis of compensation and the source of compensation funds have been proposed accordingly.     

城市家庭居住地选址的空间异质性分析——以美国佛罗里达州橙县为例

家庭选择居住地的行为天然具有空间性, 因而空间异质性效应是家庭居住地选址建模不可忽视的因素。传统的居住地选址模型基于空间一致性假设, 即假设影响因素对家庭的居住地选择行为的影响在空间上一致, 因而忽略了空间异质性效应。基于多项Logit 模型构建了居住地选址模型, 并在两个空间尺度和5 个子区域中分别应用该模型, 来反映影响因素的影响作用在空间上的变化。以美国佛罗里达州橙县家庭选址为例进行实证研究, 结果表明:家庭居住地选址行为的影响因素在不同的空间位置和空间尺度上具有不同的作用, 因而存在显著的空间异质性。尽管以美国地区为例, 但所得结论对国内案例区研究同样具有借鉴意义。     

农户生计非农化对耕地流转的影响——以福建省长汀县为例

针对农户生计非农化对耕地流转的影响,采用Logistic回归分析方法,对福建省长汀县358户农户生计非农化对耕地流转的影响进行了实证分析。研究结果表明:①农户生计非农化与耕地流出之间是一种正反馈关系,农户生计非农化有效促进了农户耕地的流出;②生计非农化诱致的农业劳动力缺乏以及较高的务农机会成本是农户耕地流出的直接原因;③生计非农化总体上对耕地流入起到抑制作用,其中,务农机会成本对农户耕地流入起到主导的抑制作用,而地租下降等因素对耕地流入起到促进作用,一定程度上缓解了高务农机会成本对耕地流入的影响。     

城镇化进程中农民进城落户意愿影响因素——以河南省郸城县为例

基于“推—拉”理论、新经济学劳动力流动理论,剖析了农民进城落户意愿的城乡作用力、农民进城落户的内部影响因素,并结合郸城县169 份农户有效问卷和村干部调查数据,采用Logistic 回归模型进行了实证检验.结果表明：①农民进城落户意愿可用“推力—拉力”范式解释,包括生活便捷程度、子女的受教育环境、养老医疗等社会福利保障水平、家庭收入和非农就业、消费和生活成本,其中,便捷的生活环境和良好的子女受教育环境是最大的城镇拉力,没有稳定的非农工作是最大的城镇推力.②农民进城落户决策的影响因素涉及个人因素、家庭因素和村庄因素三个层面.年龄、文化程度、家庭生活水平、亲朋好友是否进城落户、村庄医疗卫生条件是影响郸城县农民进城落户决策的主要因素,其中文化程度、亲朋好友是否迁户的影响效应为正,年龄、家庭生活水平及村医疗卫生条件的影响效应为负.     

经济地理学发展审视与新构思

分析了现今国际经济地理学发展中基于少数发达国家的经济发展、基于少数国家地理背景、基于经济学原理的偏颇,提出基于中国特殊的地理环境、特殊的人口、资源、环境关系、特殊的政府与社会关系、特殊文化、特殊的学科背景建立中国特色的经济地理学。中国特色的经济地理学应侧重经济社会发展、侧重人地和谐,侧重政府的特殊作用、侧重国内区域间关系与全球的影响、侧重与自然地理的关系,在研究中注重自然科学方法与社会科学方法的兼顾。中国持续高速增长的经济地理研究、中等收入陷阱的国家与地区跨越、政府特殊作用下的区域发展、城镇化、信息化、工业化与农业现代化关系、人地和谐与区域发展、农村聚落格局的演变趋势等,均可作为重要的研究问题。     

基于HLM和GWR的汪清县农村贫困成因探究

明确贫困成因是提高精准扶贫效率和稳定脱贫成效的基本前提。对偏远少数民族聚居区——吉林省汪清县农村贫困成因进行解析,采用多层线性模型(HLM)同时分析了家庭层次和环境层次因素对农村贫困家庭年纯收入的影响,并利用地理加权回归方法(GWR)探索了环境层次变量影响的空间异质性。研究结果显示： ① 汪清县贫困农户家庭层次因素对家庭年纯收入的影响强于环境层次因素,但环境层次因素的影响作用亦不可忽视; ② 剔除环境层次因素的影响后,绝大多数家庭层次因素对贫困家庭年纯收入存在显著影响; ③ 环境层次因素能够在不同程度上解释家庭层次因素影响效应的差异性; ④ 环境层次因素的影响在不同区域的作用方向和强度上存在显著差异。最后从村域发展环境、医疗就业、区域内部贫困差异方面提出改善建议。     

不同类型农户撂荒及其影响因素研究——以重庆市12 个典型村为例

近年来,耕地撂荒因与耕地流失及粮食安全紧密联系而备受关注。反映撂荒现状并揭示其影响因素,有利于政府制定科学的政策、规划和计划。现有的研究多将农户作为一个整体,较少考虑到不同类型农户撂荒的差异。以重庆市12 个典型村为例,在农户类型划分的基础上,分析不同类型农户撂荒的差异,运用多元线性回归模型定量分析不同类型农户撂荒的影响因素。研究表明：① 不同类型农户撂荒的差异主要体现在撂荒户数比重、户均撂荒面积、撂荒面积占承包地面积比重随耕作半径的变化情况、撂荒地现状及不同时间段撂荒面积;② 野生动物影响和人均耕地面积是影响不同类型农户撂荒的共同原因。此外,影响基本型农户的因素包括户主外出经历、耕作半径和房屋离集镇距离;影响自然资产型农户的因素包括农业劳动力比重、户主外出经历、地块平均面积和耕地收益;影响人力资产型农户的因素包括家庭人口、非农收入、耕地转出面积和耕作半径。     

海南省农村多维贫困及影响因素的空间分异

贫困具有多维属性,根据不同社会群体和背景从多维视角定义贫困已成为贫困问题研究的共识。依据Alkire-Foster多维贫困框架,拓展精准扶贫的“两不愁,三保障”识别标准,建立了涵盖教育、健康、居住、生活和收入指标的海南省农户多维贫困评估指标体系,基于海南省70个乡镇、134个贫困村3924户入户调查数据,采用双重临界值法评估了农户及村域多维贫困状况,进而运用地理加权回归(Geographically Weighted Regression,GWR)模型,分析了村域多维贫困影响因素的空间分异。结果显示,调查农户多维贫困率达18.22%,多维贫困程度严重的村多维贫困发生率不一定高,“两不愁、三保障”及收入指标对多维贫困指数的贡献率低。中、西部连片贫困地区多维贫困主要表现为较差的资产状况、不清洁的炊事燃料、较高的家庭成员患病率和较低的家庭成员最高学历。GWR模型分析表明,作为多维贫困最重要的影响因素,户主性别、户主受教育水平、女性劳动力占比和抚养比4个变量估计系数的空间分异明显。总体上,女性户主和低学历户主为主的地区倾向于更易发生多维贫困,二者的影响分别表现为从东到西、从北到南有所增强。女性劳动力占比为负向影响,抚养比为正向影响,呈现出自北向南增强的趋势,体现了海南贫困地区劳动力弱、女性相对更勤劳等典型地域特征。