中国服务业高质量发展评价与实现路

服务业高质量发展日益成为经济高质量发展的重要题中之义。在充分梳理服务业高质量发展 文献的基础上,将服务业高质量发展解构为结构高质量、效益高质量、规模高质量、品牌高质量4 个部分, 进而构建了服务业高质量发展的评价指标体系。根据该指标体系对中国服务业高质量发展进行总体、分 类、分区测算,发现中国服务业高质量发展呈现总体上升、品牌迟滞、区域失调的态势。研究发现:中国服 务业可以通过结构优化、品牌再造、融合发展、协调共进四个路径来实现更优的高质量发展。本文的研究 是建构服务业高质量发展指标评价的有益尝试,对服务业高质量发展具有一定的政策启示。     

Financial management: Development of scales

This study is a contribution to the development of family resource management scales, specifically financial management scales. Principal axis factor analysis, with varimax rotation, is used to assess underlying relationships in 23 family resource management variables related to time and money resources. Reliability and content, construct, and criterion-related validity of the scales are assessed. Two scales that are reliable and have some degree of validity are developed: frequency of financial problems and frequency of financial management. The scales could be used in future research, teaching, or counseling to organize financial management concepts.Preparation of this research was supported in part by the Illinois Agricultural Experiment Station. Data were collected in conjunction with the cooperative regional research project NC-182, Family Resource Utilization as a Factor in Determining Economic Well-Being of Rural Families. Cooperating states are Arizona, California, Illinois, Indiana, Iowa, Kansas, Michigan, and Minnesota.She received her Ph.D. from the University of Illinois; her current research interests include gender roles, family financial management, and economic well-being.Her current research interests include family financial management and consumer bankruptcy. She received her Ph.D. from the University of Missouri.Her current research interests include the economic well-being of various family forms. She received her Ph.D. from the University of Illinois.She received her Ph.D. from the University of Illinois. Her research interests are economic well-being and quality of life.     

不同规模农地抵押贷款可得性研究

以南阳市427户农户调查数据为样本,运用二元Logit回归模型对三类不同土地规模农户的农地抵押贷款可得性及其影响因素进行分析。结果发现,户主年龄、文化程度、家庭收入、房屋价值、社会资本、对贷款政策了解度及土地规模差异均对农户农地抵押贷款可得性具有显著影响。其中,家庭收入与房屋价值是影响不同土地规模农户农地抵押贷款可得性的共同因素,土地规模是影响农地抵押贷款可得性最为直接的关键性因素,随着土地规模增加,金融机构贷款审批更注重农户个人信用程度、社会资本和风险保障措施。     

家庭农场发展的多重动力机制分析

基于政府、市场和农民家庭的综合分析视角,考察了家庭农场兴起的过程,系统揭示了家庭农场发展的多重动力机制。研究发现：政府推动农业规模经营的政策实践及市场化条件下农业规模效益的增长,构成为家庭农场发展的两个重要外部动力。但家庭农场的兴起和发展更是农民家庭借助政府和市场等外部条件变化,不断调整和优化其家庭劳动力的配置方式,从而最大化家庭收入以不断满足日益增长的家庭消费需求的结果。农民家庭构成为家庭农场发展的内在动力。家庭农场是农民家庭同政府和市场“互构”的结果,这也充分显示出了农民家庭经济组织的发展活力和发展前景,形塑了我国小规模农业的独特发展道路。     

西部山区农民易地扶贫搬迁意愿的影响因素

从现在到2020年是打赢脱贫攻坚战的关键时期,从农民自身角度研究搬迁意愿,对加快实施易地扶贫移民搬迁具有重要意义。研究依据西方微观人口迁移理论：地方效用理论、计划行为理论和效价[CD*2]期望理论,整合构建了中国国情下由政府引导的易地扶贫搬迁意愿的理论分析框架。以陕南移民搬迁为例,在验证性因子分析的基础上,运用有序Logit模型和最优尺度模型对理论假设进行检验。结果显示：①心理因素、政策和预期因素、环境因素对搬迁意愿具有显著影响 ②控制变量中家庭人口数、非农劳动力比例、家庭成员求学婚姻等控制变量与搬迁意愿显著相关;③没有搬迁的主要的顾虑是搬迁后找不到工作、城镇生活成本高、搬迁成本高、搬迁后的适应等问题。研究建议政府部门在搬迁补助、就业安置、搬迁后适应等方面加大支持力度,增强搬迁的信心。     

农地流转与农户金融需求

以四川省为例,基于647份农户调查数据,从农地流转、农户基本情况、农户经营特征、农村金融市场特征4个方面运用Logit模型实证分析其对农户金融需求的影响方向及强度,分析农地流转背景下农户金融需求的影响因素。研究结果表明,农地流转行为带来农户金融需求分化趋势,农地流转价格过快上涨对农户金融需求有明显抑制作用,加快创新农村金融产品已经十分紧迫,农户普遍面临缺乏抵押融资能力的困境。农地流转对农户金融需求的分化性发展产生重要影响,进而对我国农业的转型升级具有极为积极的促进作用。在进一步深化农村土地产权制度改革基础之上,重点针对扩大土地经营规模的农户进行农村金融产品创新,有效满足其不断增长的金融需求,则是当前我国推进现代农业发展必须破解的主要难题。     

东道国外债规模与中国OFDI——基于发展中国家面板数据的研究

本文利用2003—2013年间中国对外直接投资跨国面板数据,采用系统GMM方法,实证研究发展中国家外债规模与中国OFDI的关系.研究发现,在发展中国家或地区,外债规模与中国对外直接投资存在正向关系.此外,我们还得到东道国外债规模均会弱化市场规模、自然资源、技术水平对中国OFDI的正向作用.     

城市规模、创业边界与企业家创业

大城市更有活力且更年轻化的人口结构,导致大城市的消费者异质性偏好更强,进而可能推动企业家创业边界的降低与城市创业活动的发展。为了识别这一理论机制,本文在Zhelobodko et al.（2012）的分析框架上,通过引入城市规模和消费者异质性偏好假设,构建了一个异质性企业家区位选择与创业的空间经济学模型,考察城市规模通过企业家创业边界对城市创业活动的影响,并基于2000-2016年204个城市的面板数据以及2008年中国经济普查数据进行了实证检验。研究发现：（1）企业家才能越高的企业,相应的产品定价会越低,产品需求量越大,而利润越高;（2）企业家创业边界除了受到城市规模的影响以外,还会受到消费者多样性偏好的影响;（3）消费者多样化偏好更强的城市,城市的创业门槛更低,城市的创业活跃度更高。     

Can Likert Scales be Treated as Interval Scales?—A Simulation Study

The Likert scale is widely used in social work research, and is commonly constructed with four to seven points. It is usually treated as an interval scale, but strictly speaking it is an ordinal scale, where arithmetic operations cannot be conducted. There are pros and cons in using the Likert scale as an interval scale, but the controversy can be handled by increasing the number of points. Several researchers have suggested bringing the number up to eleven, on the basis of empirical data. In this article the authors explore this rational and share the same view, but simulate artificial data from both symmetrical normal and skewed distributions where the underlying metric is known in advance. Results show that more Likert scale points will result in a closer approach to the underlying distribution, and hence normality and interval scales. To increase generalizability social work practitioners are encouraged to use 11-point Likert scales from 0 to 10, a natural and easily comprehensible range.     

Objective Bayesian inference for the ratio of the scale parameters of two Weibull distributions

The Weibull distribution is widely used due to its versatility and relative simplicity. In our paper, the non informative priors for the ratio of the scale parameters of two Weibull models are provided. The asymptotic matching of coverage probabilities of Bayesian credible intervals is considered, with the corresponding frequentist coverage probabilities. We developed the various priors for the ratio of two scale parameters using the following matching criteria: quantile matching, matching of distribution function, highest posterior density matching, and inversion of test statistics. One particular prior, which meets all the matching criteria, is found. Next, we derive the reference priors for groups of ordering. We see that all the reference priors satisfy a first-order matching criterion and that the one-at-a-time reference prior is a second-order matching prior. A simulation study is performed and an example given.