中国西部民族地区贫困问题研究

西部民族地区的贫困严重制约着西部地区的快速发展 ,减少贫困已经成为启动西部开发的首要动力 ,从根本上消除贫困则将成为检验和衡量西部开发成功与否的重要标准。西部民族地区是我国贫困人口的密集分布区 ,贫困面大 ,贫困度深 ,脱贫难度大 ,返贫率高。针对我国西部民族地区贫困的特殊性 ,在反贫困的战略选择上 ,一方面要进一步加强区域发展援助 ,即加快西部少数民族地区的经济开发进程 ,实现民族地区整体经济实力的增长和自我发展能力的提高。另一方面 ,反贫困战略的目标要瞄准西部民族地区的贫困人口 ,使贫困人口成为反贫困的直接受益者     

西部城市贫困与社会支持网缺失研究—以昆明为例

自20世纪90年代以来,城市贫困日益凸显并成为中国经济社会发展中的突出问题之一,西部地区更是如此。以昆明市为例,通过调查研究发现,社会支持网在西部城市反贫困中发挥着重要作用,但是西部城市贫困家庭社会支持网平均规模仅为2.33,远远小于全国9.1的平均水平。这表明西部城市贫困的产生与社会支持网缺失有着一定的联系。为此,构建完善的社会支持网成为西部地区城市反贫困的政策选择之一。     

结构、文化抑或排斥:西部民族地区特困农牧民的致贫机理

伴随着我国经济的快速发展,越来越多农村民众的生活水平得到了提高,他们在分享改革开放阶段性成果的同时也逐步摆脱了贫困。但是在我国西部民族地区仍然有广大农牧民受到贫困的现实威胁,亟须通过体系化的政策推动来脱贫致富。本研究利用实证研究方式,通过对877名特困农牧民群众的问卷调查深入挖掘该群体的致贫机理。研究发现,西部民族地区特困农牧民的收入、存款和物资状况令人担忧,该群体的致贫机理以结构性贫困和文化性贫困为主,基本按照文化性诱因、结构性诱因和排斥性诱因的顺序逐步递减。研究认为,我国应当进一步明晰西部民族地区反贫工作的重要意义,突出文化性与结构性反贫政策的重要地位,强化反贫政策与人口政策的协调发展。     

中国西部少数民族地区人口的贫困原因及其政策启示

中国的少数民族人口主要分布在生态环境恶劣、经济社会发展落后的西部地区,这些地区同时也是贫困人口分布最多的区域。本文首先从地域、人口增长以及国家扶贫战绩几方面分析了西部少数民族地区人口与贫困在地域上的重合性,进而从区域发展、社会公平和政策效果以及贫困人口的人文因素等方面分析了造成少数民族地区人口贫困的原因,认为虽然造成区域性少数民族贫困状况的主要原因来自于区域发展的滞后,但在摆脱贫困的难易方面,政府提供的脱贫服务和民族人口的人文制约因素则起着更为重大的作用。     

城市反贫困与贫困群体的能力建设

我国城市贫困问题日益突出,虽然国家的反贫困斗争取得了较大成就,但贫困人口数量依然不断增加,而且有劳动能力的贫困人口新增为城市贫困的主体。其原因在于目前的反贫困在理念上重视物质、收入等方面的救济,忽视贫困群体的能力建设和精神脱贫,在反贫困主体上缺乏整合,反贫困政策不成熟等。因此,应将贫困人口视作反贫困的主体,鼓励贫困群体在精神上脱贫,激发其就业意愿,增强贫困群体的就业能力,并努力创造就业机会,以此从根本上获得城市反贫困的胜利。     

论西部民族地区人力资源的开发与人力资本的形成

人力资本积累是经济发展最重要的推动力 ,而西部民族地区的总体人力资本水平还很低 ,与沿海发达地区的“知识差距”在不断扩大。通过制定缩小知识差距的发展战略 ,注重人力投资的制度创新 ,加大人力投资强度 ,调整人力资本投资结构 ,加快西部民族地区劳动力市场建设 ,促进劳动者的自由流动 ,改革人才配置制度 ,就能有效地促进西部民族地区人力资源的开发和人力资本的积累。     

教育效能和结构对西部地区贫困减缓的影响研究

文章通过构建理论模型,分析了教育效能、教育结构与贫困减缓的关系,并利用2000～2010年西部地区省级动态面板数据进行了实证检验。结果表明,西部地区贫困流动性较弱,存在持续贫困的现象;由于教育质量和平均受教育年限的权衡替代,教育支出的减贫效果不显著;教育质量对城市减贫的作用比平均受教育年限更为显著;平均受教育年限对西部农村贫困减缓具有"门槛"效应,且现阶段教育效能对农村减贫的整体作用为负。由于离技术前沿距离较远,中等教育对西部城乡减贫的意义更为显著。     

城镇贫困的因素分析及反贫困政策建议

文章主要以浙江省城镇贫困的实证分析为例,探讨城镇反贫困的有效政策。作者测定了近两年的浙江省城镇居民收入贫困线和有关贫困指数、1997年以来相对贫困的变动轨迹、低保规模和标准,分析了影响浙江省城镇贫困的若干原因,在此基础上提出了城镇反贫困的若干政策建议。     

西部民族地区城市人口从业收入状况分析

文章以西部民族地区城市人口为立足点,全面分析了西部民族地区城市人口从业单位性质、年度变化和地区分布状况：以及不同地区、不同年度、不同性质单位从业人员的收入状况;阐述了西部民族地区城市人口在从业及收入方面存在的问题及其特殊性。     

中国农村贫困居民收入流动性研究

通过多变量Prob it模型考察我国农村贫困居民的收入流动性。分析两期之间农村贫困的状态依赖性,探讨决定我国农村居民当期免于贫困的因素,研究发现:人力资本投资中的教育投资和健康投资的反贫困效果最好;从贫困的状态依赖性来看,我国农村低收入者没有陷入明显的持续贫困,收入流动性较强;农村女性收入状况逐年改善,婚姻状况有利于缓解贫困,国家公务员或者企业经理,政府机关、国有企事业单位性质的员工陷入贫困的概率更低,东部地区居民容易免于贫困;改革开放的制度变迁给农村居民带来收入变动的机遇,同时也增加了他们收入的不稳定性;回归结果对低收入门槛的定义比较敏感,有必要在收入分布的"绝对贫困"区域上方再划定一个"基本贫困"区域。     

西南边疆民族地区流动人口的族群关系研究—以迪庆藏族自治州建塘镇为例

我国流动人口在出现由少数民族聚居区的西部落后地区向东部沿海发达地区大规模迁移流动的同时．也有局部的逆向流动。这种逆向流动的规模尽管不如前者显著．但却涉及到更复杂的民族关系．而各民族的居住格局又是影响民族关系的一个重要因素。文章以西部云南省迪庆州为例分析发现．总体上流动人口中汉族与其他少数民族整体居住分离程度还是比较低,反映了民族之间的居住融合比较理想,但分民族来看．汉族与藏族、回族的居住分离程度较高．远远大于白族、纳西族和傈僳族。有效地进行居住迁移调整不仅可以减少各民族流动人口内部的矛盾．而且也能促进各民族流动人口之间、各民族流动人口与原住居民之间的融合,从而推动民族地区社会与经济的和谐发展。     

Integrating BP and MGWR-SL Model to Estimate Village-Level Poor Population: An Experimental Study from Qianjiang,China

Spatially-explicit, fine-scale mapping of poor population distribution at a village level is a necessary prerequisite for developing precise anti-poverty strategies in rural China. To address the data missing of poor population at a village scale, we proposed a modeling methodology from the perspective of spatial poverty, integrating BP and MGWR-SL (Mixed Geographically Weighted Regression model with Spatially Lagged dependent variable) that correspond to population estimation and poverty incidence estimation, respectively, to explore a more accurate and detailed village-level poor population distribution. Furthermore, we justified the accuracy, reliability, and scale effects of the model by using GIS spatial analysis and cross-validation. From the case test, we found that, the proposed model could characterize poor population distribution more accurately than other existing methods, resulting in that the errors of both population spatialization and poverty incidence for each village are less than 5% at a 500 * 500 m grid scale. It can also be inferred that the spatialization of socioeconomic data at a fine scale should take into full account of spatial heterogeneity and spatial autocorrelation for both dependent and independent variables, so as to improve the modeling accuracy. This study may provide a perspective for better understanding the detailed and accurate poverty status of data–scarce village in poverty-stricken rural areas, and serves as a scientific reference regarding decision-making in both promoting “entire-village advancement” anti-poverty harmonious development and constructing the new countryside of China.     

上海市人口老龄化：现状、影响及对策思考

人口老龄化已成为当今世界各国经济发展过程面临的共同性话题,就上海而言．未来上海市人口老龄化带来的影响已逐渐凸显,人口老龄化带来的养老金匮乏,劳动力不足以及社区为老服务发展滞后的矛盾已开始成为制约上海市经济发展的瓶颈,老龄化带来的影响将在未来很长一段时间内长期存在．缓解人口老龄化带来的影响以及寻求可行性办法解决老龄化人口的赡养问题已成为政府和社会必须要解决的问题。     

Immigrants in the UK and in West Germany –Relative income position,income portfolio,and redistribution effects

Based on data from the BHPS and the SOEP, we analyse the economic performance of various ethnic groups in the UK and West Germany, as well as the effects of income redistribution on these populations. Taking the indigenous population of each country as the reference category, we find that, as a whole, the non-indigenous population in the UK fares much better than the immigrant population in Germany. However, the range of economic performance across different ethnic groups in the UK is much larger than that in Germany. The German corporatist welfare system is characterised by much stronger redistribution effects than the liberal UK one. Consequently, the relatively low-performing immigrant population in Germany profits more from the redistribution system than immigrants with similar socio-economic attributes in the UK.All correspondence to Felix Büchel. Responsible editor: Christoph M. Schmidt     

西部地区少数民族人口城市化变动分析--基于2000年和2010年人口普查数据

文章以西部少数民族人口为研究对象,依据2000年和2010年第五次和第六次人口普查资料,通过计算,对比,揭示西部大开发十年间西部少数民族人口城市化变动趋势。研究表明,西部少数民族人口城市化程度伴随着西部地区政治、经济、文化等发展变化,呈现出城市化率普遍提高;民族之间人口城市化差距缩小以及民族人口受教育程度普遍提升等变化趋势。     

Using VPI to Measure Poverty-Stricken Villages in China

Revealing the comprehensive poverty levels and spatial diversities of poverty-stricken villages is a prerequisite for “Entire-village Advancement” anti-poverty policy of China. In response, we build a multidimensional poverty assessment model from the perspective of spatial poverty, adopting VPI (village-level poverty index) to examine multiscale and multidimensional situations and characteristics of poverty-stricken villages in rural China, then adopting spatial geostatistics to explore their multidimensional and multiscale spatial point pattern distribution. Further, we also introduce LSE model to examine their poverty types. Our tests show that, Firstly, the validity and reliability of the VPI model can be justified in terms of village-level targeting ratio and policy-coverage ratio. Then, the poverty level of poverty-stricken villages follows a normal-right distribution, presenting an “olive” structure with a shape of “large middle, and small at two ends”, poverty levels and poverty sizes of different counties obviously increasing from east to west, and different classifications of counties also representing different poverty levels. On the other hand, there exists three kinds of multi-scale poverty clusters among different contiguous destitute areas, namely, clustering-randomness-dispersion, randomness-clustering and dispersion/randomness distribution. Villages with poverty type of three-factor dominance account for over 50 % of the total villages, their poverty are mainly caused by harsh geographical environment, disadvantaged production and living conditions, and poor labor forces. This research helps know well about the relationships among different villages from the multiscale and multidimensional views, so as to provide decision basis for optimal development and reorganization of the poverty-stricken villages in rural China, which is of vital practical significance to make overall arrangement of rural development-oriented poverty elimination and to boost new round of precise poverty elimination and new countryside construction.     

A PPI-MVM Model for Identifying Poverty-Stricken Villages: A Case Study from Qianjiang District in Chongqing,China

To support China’s national poverty alleviation strategies, it is urgent to develop a scientific method for identifying the poverty-stricken villages and the contributing factors. Based on the anti-poverty plan of “Entire-Village Advancement” of China and the human-environment interaction perspective, the paper proposes a participatory poverty identification model that utilizes geographic information system to quantify and integrate various contributing factors for poverty at the village level. First, a set of poverty identification factors are determined from the human-environment interaction perspective. Secondly, the game theory is used to combine the participatory subjective weight method and the objective entropy method to weight the factors, and a participatory poverty identification with minimum variance model is developed to identify the poverty-stricken villages and their contributing factors. Finally, the model is applied to Qianjiang District in Chongqing, and the case study demonstrates the effectiveness of the model. The model not only identifies the poverty-stricken villages systematically but also helps guide policies for effective poverty interventions.     

Ethnic Enclaves and the Earnings of Immigrants

A large literature in sociology concerns the implications of immigrants’ participation in ethnic enclaves for their economic and social well-being. The “enclave thesis” speculates that immigrants benefit from working in ethnic enclaves. Previous research concerning the effects of enclave participation on immigrants’ economic outcomes has come to mixed conclusions as to whether enclave effects are positive or negative. In this article, we seek to extend and improve upon past work by formulating testable hypotheses based on the enclave thesis and testing them with data from the 2003 New Immigrant Survey (NIS), employing both residence-based and workplace-based measures of the ethnic enclave. We compare the economic outcomes of immigrants working in ethnic enclaves with those of immigrants working in the mainstream economy. Our research yields minimal support for the enclave thesis. Our results further indicate that for some immigrant groups, ethnic enclave participation actually has a negative effect on economic outcomes.     

中国省际人口流动与 人力资本流动差异性分析

人力资本流动与人口流动相关却不相同,本文采用2010-2016年全国流动人口动态监测数据,从流动方向和流动强度两方面对我国省际人口流动引致的人力资本流动现象加以研究。结果表明从流动方向分析,各省人口净流动方向基本呈现时间一致性并且流入流出区域具有稳定性。在调查期间人口净流出省份为16个,人口净流入省份为15个,没有明显变化。人力资本净流向与人口净流向完全一致,但省际人口净流向与高级人力资本净流向并不完全一致,山西、广西、重庆等省市的高级人力资本净流向始终与总人力资本净流向相反。本文采用流出流入比率和迁移选择中心两种指标测算人力资本流动强度,结果基本一致。人力资本流动中心与人口流动中心分布均较为固定。2010年人力资本流动强度最大的省份在2016年的流动强度也更强,流动强度在省际呈现惯性和马太效应。人力资本流入最强地区包括北京、天津、上海三个直辖市,人力资本流出最强省份始终包括安徽、四川、河南等省份。以人力资本流出弹性衡量人力资本流出强度与人口流出强度的相对强弱,东部地区、东北地区省份人力资本的流出强度始终大于人口流出强度,西部地区省份差异较大。考虑各省近五年经济增长状况,人口流动或者人力资本流动对经济增长的影响是非线性的。