贵州的脱贫和发展：基于三因子耦合的解析

贵州的脱贫和发展案例表明，欠发达地区的脱贫和发展是集合“核心设施、骨干领域、环境机遇”三大因子共同发力的结果。这一发现挑战了当代主流发展理论，并在落后国家或区域具有广泛复制的价值。这种新发展观不只是一种自洽且连贯的学说，还可作为引导明智行动的机制对待，因而深具实践意义。可以把这三个强关联性词汇转换为规范且符合逻辑的陈述以激发洞见，充实当代发展理论，同时为其他不发达地区的贫困治理和经济发展提供经验和借鉴。     

城镇化进程中水资源消耗的影响因素研究

在"多项连乘和加总"及向量扩展形式的LMDI模型基础上,构建城镇化进程中人口-居民消费-用水强度的分解框架,分析2003—2016年间水资源消耗的影响因素。研究表明:人口规模扩大和人口城镇化对用水量增长均为正向促进作用,且前者驱动力强于后者;居民消费水平提升是拉动用水量增长的主导因素,而居民消费结构优化升级和居民消费率上升均有效抑制了水资源的消耗,且前者更为显著;用水量的下降主要得益于产业技术进步,生活用水量的增长主要源于生活强度效应。进一步指出未来应合理控制我国人口规模和人口流动,加速居民消费结构的优化升级,注重强化产业技术创新,深挖农业节水潜力,提升居民消费率以实现既定经济规模下的相对节水。     

国有林区缓解贫困与生态保护共生协调度及应用研究

[目的]缓解贫困与生态保护的协调发展关系到区域的可持续发展问题,对国有林区缓解贫困与保护森林生态系统安全两者关系的分析研究是生态文明建设新阶段值得高度关注的课题。正确处理生态保护与林区经济发展互促互进具有重要意义,把国有林区缓解贫困与森林生态保护看作两个相互影响相互作用的生物体,用以揭示国有林区缓解贫困与生态保护之间的协调共生关系,以期为区域可持续发展提供理论基础和现实依据。[方法]以黑龙江省国有森工林区40个林业局为研究对象,选取2016年国有森工林区贫困与森林生态综合发展水平的14个指标数据,并运用主客观赋权法确定各指标权重,构建两子系统的共生协调度模型,探究国有森工林区各林业局贫困与生态的共生协调模式的空间布局和差异。[结果]黑龙江省国有森工林区共生协调模式呈现多样化趋势,经历互利共生、寄生协调、寄生冲突和互害竞争等关系,但寄生模式是黑龙江省国有林区贫困与生态的主要模式。[结论]黑龙江省森工国有林区要想实现缓解贫困与生态保护的共生协调,一方面需要加大对森林资源的保护的投入及抚育力度,另一方面森工企业要转变生产方式,优化林业产业结构,提高对林木资源的利用效率。     

Do the poor benefit from globalization regardless of institutional quality?

Despite significant progress towards the Millennium goals, more than one billion people live on less than 1.25 US dollars per day. Previous research suggests that globalization stimulates poverty reduction, but does not investigate what role institutions play in this relationship. Theoretically, globalization could act as either a complement or a substitute to institutional quality in reducing poverty. We find that the poverty-reducing effect of globalization is stronger when institutions are weak. In particular, increasing social globalization reduces poverty more when corruption is high and democratic accountability is low. Thus, globalization has the power to reduce poverty even in countries with low institutional quality.     

Is green growth relevant for poor economies?

To be relevant to developing countries, green growth must be reconciled with the two key structural features of natural resource use and poverty in these countries. First, primary products account for the majority of their export earnings, and they are unable to diversify from primary production. Second, many economies have a substantial share of their rural population located on less favored agricultural land and in remote areas, thus encouraging “geographic” poverty traps. If green growth is to be a catalyst for economy-wide transformation and poverty alleviation in developing countries, then it must be accompanied by policies aimed directly at overcoming these two structural features. Policies and reforms should foster forward and backward linkages of primary production, enhance its integration with the rest of the economy, and improve opportunities for innovation and knowledge spillovers. Rural poverty, especially the persistent concentration of the rural poor on less favored agricultural lands and in remote areas, needs to be addressed by additional targeted policies and investments, and where necessary, policies to promote rural-urban migration.     

甘肃苹果产业发展优势及提质增效对策

通过实地调查和专家访谈,利用比较分析法,对甘肃苹果产业的发展优势、存在问题及提质增效对策进行了研究。从自然资源禀赋、经济比较效益、产业支持政策、实际扶贫效果、持续发展潜力等5个方面分析了甘肃苹果产业发展的优势条件;从苗木繁育、栽培管理、产地认证、采后处理、精深加工、品牌建设、技术支撑等方面指出了存在的主要问题;从政策扶持、科技创新、基地建设、人才培养、灾害防控、农业保险等方面提出了促进甘肃苹果产业优化升级、提质增效的对策措施。具体措施是:继续加大政策扶持力度;以促进苹果产业升级为目标,加快品种更新换代,加强关键栽培管理技术研究创新,加强精深加工技术创新推广,进一步强化科技支撑;以企业为主体,加强品牌建设;以标准化为抓手,加强出口创汇基地建设;同时加强本土技术人才培养、加强灾害性天气预警防控、加强苹果产业保险机制研究与示范推广。     

Properties of Census Dual System Population Size Estimators

We study parametric and non‐parametric approaches for assessing the accuracy and coverage of a population census based on dual system surveys. The two parametric approaches being considered are post‐stratification and logistic regression, which have been or will be implemented for the US Census dual system surveys. We show that the parametric model‐based approaches are generally biased unless the model is correctly specified. We then study a local post‐stratification approach based on a non‐parametric kernel estimate of the Census enumeration functions. We illustrate that the non‐parametric approach avoids the risk of model mis‐specification and is consistent under relatively weak conditions. The performances of these estimators are evaluated numerically via simulation studies and an empirical analysis based on the 2000 US Census post‐enumeration survey data.     

Benefits of Cross‐sector Partnerships in Markets at the Base of the Pyramid

In this paper we analyze whether cross‐sector partnerships enable companies to respond to the specific conditions at the base of the pyramid (BOP). We develop three hypotheses in which we argue how cross‐sector partnerships support companies to face unfamiliar conditions in these markets. We test the developed hypotheses against the data of 103 companies operating in BOP‐markets. The results show that companies rely on organizations from the civil society sector in order to meet customer needs. Partners from the business sector are supportive when responding to restrictive market conditions. Institutional partnerships should be considered when companies aim at responding to the regulatory environment. We outline theoretical and managerial implications and reflect some limitations of the study. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.     

Does urbanization reduce rural poverty? Evidence from Vietnam

This paper uses data from household surveys to contribute to the urbanization-poverty nexus literature by assessing the effect of urbanization on income, expenditure, and poverty in rural households in Vietnam. We find that the urbanization process stimulates the transition from farm to non-farm activities in rural areas. More specifically, urbanization tends to reduce farm income and increase wages and non-farm income in rural households. This suggests that total income and consumption expenditure of rural households are more likely to increase with urbanization. Finally, we find also that urbanization helps decrease the expenditure poverty rate of rural households, albeit by a small magnitude.     

安徽省土地承载力研究

为服务土地管理实践,从耕地人口承载力、建设用地人口承载力的角度研究了安徽省及各市县的土地承载力,还从生态环境承载量的角度研究了建设用地最大量。研究结果表明,安徽省建设用地还有很大挖潜空间。按人均100m2计算,安徽省及各市建设用地人口承载水平在20%~40%之间。多元回归结果表明,区域常住人口、土地总面积对建设用地人口承载水平的影响显著。但GDP、人均GDP和二三产业占比对建设用地人口承载力的影响不显著。利用GIS的研究表明,在扣除生态必需用地后,安徽省建设用地生态适宜量为36 847km2,超过目前的建设用地总面积。耕地人口承载力研究结果表明,安徽省目前的耕地面积能满足全省常住人口粮食需求,但各市县差别很大。若不提高单产,在耕地面积不断减少的情况下,安徽省到2020年可能会面临粮食缺口。