农地产权结构变迁视域下土地增值收益的公平分享

农地产权结构是搭建土地增值收益分配与宪法秩序有效链接的重要桥梁.从农地产权结构变迁的视角看,我国传统土地增值收益的国有化机制实际在很大程度上符合1982年宪法所确立的社会主义地租国有原则及地利共享秩序.然而,由于宪法土地条款一开始就被注入了地利分配具有倾向性的思想基因,长此以往便忽视了农民作为整体分享土地增值收益的"另一半宪法秩序".新型城镇化背景下,国家进行了"同地同权"、赋权于"民"的农村土地管理制度改革,其实质是宪法秩序的延续而非替代,我国土地增值收益分配的主要机制仍是征地补偿制度.要实现我国土地增值收益的公平分享,必须回到社会主义"国家—集体"一元论的完整地利共享秩序中来,并遵循实质平等的要求,通过以"人的城镇化"为目标对区片综合地价进行限定、采取倾向于农村及农业发展的"土地财政"政策、打破城乡户籍二元制实现城乡一体化发展等方案,推动农民全过程参与、共享土地利益.     

科技金融结合试点政策对地区经济增长影响研究——基于科技创新与产业结构合理化的视角

科技金融是"第一生产力"与"第一助推力"的有机结合,承担着带动地区经济高质量发展的重要使命.基于当前我国科技金融结合不断推进的背景,文章以2007—2016年我国共285个地级市的面板数据为例,运用双重差分法(DID)对科技部、中国人民银行等五部门推行的科技金融结合试点政策对试点地区经济增长的带动效应及机制进行检验.结果表明:第一,科技金融结合试点政策能够有效带动试点地区经济增长,这一结论具有稳健性;第二,科技金融结合试点政策对试点地区经济增长的带动作用存在显著的地域性差异,东部最强、中部次之、西部最弱;第三,进一步的机制检验表明科技金融结合试点政策能够通过提升地区科技创新水平和推动产业结构合理化的双重路径带动地区经济增长.为了进一步推动科技与金融相结合,提升地区经济发展水平,各地政府应高度重视科技金融结合试点政策对地区经济发展的正外部性,积极申报试点城市建设.同时,应结合各地市情社情制定差异化试点政策,大力提升科技创新与产业结构合理化水平,充分发挥其对地区经济增长的中介作用.     

治理效能视角下公民参与公共服务的制度研究

公民参与公共服务的有序性和有效性并非直接相关,可以从有序性和有效性两个维度分析公民参与及其治理效能的关系.为提升治理效能,以程序性规则为核心的制度设计能更为充分地保障公民有序有效参与公共服务,实现公民与政府之间的良性互动与有序合作.基于全过程民主、程序性权利和共同体秩序等公民参与的程序性价值维度考量,再以环境保护领域中的公民参与为例,从公开公示机制、意见表达机制、回应吸纳机制、监督评价机制和责任追究机制等方面构建公民全过程参与制度,并探索公民参与的方法和策略.通过公民参与的程序性价值内化、方法创新与技术转型来推进治理体系和治理能力现代化.     

Factors associated with a positive childbirth experience in Brazilian women: A cross-sectional study

BackgroundHaving a positive childbirth experience is an increasingly valued outcome. Few studies evaluated the women’s satisfaction with childbirth through face-to-face interviews out of the health service environment. The objective of this study was to identify factors associated with a higher level of satisfaction with the childbirth experience among Brazilian women.MethodsThis cross-sectional study involved 287 women giving birth in two hospitals in southern Brazil. Women who gave birth to healthy newborns at term were randomly selected. Face-to-face interviews were conducted 31–37 days after delivery, at the mothers’ homes, using a structured questionnaire. Satisfaction with the childbirth experience was measured using a Likert-type scale ranging from very satisfied to very dissatisfied. Prevalence ratios (PR) were estimated using Poisson regression with robust variance.ResultsFollowing hierarchical multivariate analysis, the following factors remained associated with a higher level of satisfaction with the childbirth experience: being satisfied with antenatal care (PR = 1.30; 95% confidence interval [95%CI] = 1.06−1.59), understanding the information provided by health professionals during labor and delivery (PR = 1.40; 95%CI = 1.01−1.95), not having reported disrespect and abuse (PR = 1.53; 95%CI = 1.01−2.31), and having had the baby put to the breast within the first hour of life (PR = 1.63; 95%CI = 1.26−2.11). No association was observed with type of delivery or hospital status (public or private).ConclusionsA higher level of satisfaction with the childbirth experience is related to satisfactory antenatal care, a non-abusive, respectful, and informative environment during childbirth, and to the opportunity to breastfeed the baby within the first hour of life. In clinical practice, greater attention to these basic principles of care during pregnancy and delivery could provide more positive experiences during birth.     

科技保险的困境—一个制度供求非均衡分析

现阶段，我国步入了创新驱动引领升级的关键时期，科技创新受到了整个社会的空前重视。科技保险作为分散和转移科技风险的重要手段，可以为科技创新提供有力的风险保障。目前，我国科技保险工作已经进入全面推广阶段，虽然取得了一定的成效，但整体运行并不理想，科技企业参保率低，科技保险缺失严重。究其原因，主要在于制度供给不能适应科技企业对科技保险的需求，科技保险制度供求非均衡，在现行的科技保险制度下积聚着大量的潜在利润，而这些潜在利润既是科技保险制度非均衡的原因，又是科技保险制度创新的动力。     

客户集中度、市场环境与存货管理效率

客户处在供应链的下游,对企业存货的采购、生产和销售都会产生重要影响,而多变的市场环境也在无形当中影响着客户与企业之间的关系。从企业所处行业、地区产品市场和客户三个角度所带来的市场环境变化入手,采用2011—2017年我国沪深两市A股制造业上市公司的数据,实证分析客户集中度与企业存货管理效率之间的关系。研究发现:(1)客户集中度越高,企业存货管理效率越高；(2)产品市场竞争力度越强,客户集中度对企业存货管理效率的影响越大；(3)产品市场发育越好,客户集中度对企业存货管理效率的影响越大。进一步研究发现,当企业因客户生产经营原因导致需求发生较大变化时,客户集中度对企业存货管理效率的正向影响更加显著。研究结论表明,政府应当注重市场竞争力的提升和良好经营环境的建设,使得企业在维护客户关系的同时充分发挥客户集中度对企业存货管理效率的积极作用。     

New two-stage sampling designs based on neoteric ranked set sampling

Neoteric ranked set sampling (NRSS) is a recently developed sampling plan, derived from the well-known ranked set sampling (RSS) scheme. It has already been proved that NRSS provides more efficient estimators for population mean and variance compared to RSS and other sampling designs based on ranked sets. In this work, we propose and evaluate the performance of some two-stage sampling designs based on NRSS. Five different sampling schemes are proposed. Through an extensive Monte Carlo simulation study, we verified that all proposed sampling designs outperform RSS, NRSS, and the original double RSS design, producing estimators for the population mean with a lower mean square error. Furthermore, as with NRSS, two-stage NRSS estimators present some bias for asymmetric distributions. We complement the study with a discussion on the relative performance of the proposed estimators. Moreover, an additional simulation based on data of the diameter and height of pine trees is presented.     

An omnibus two-sample test for ranked-set sampling data

We develop an omnibus two-sample test for ranked-set sampling (RSS) data. The test statistic is the conditional probability of seeing the observed sequence of ranks in the combined sample, given the observed sequences within the separate samples. We compare the test to existing tests under perfect rankings, finding that it can outperform existing tests in terms of power, particularly when the set size is large. The test does not maintain its level under imperfect rankings. However, one can create a permutation version of the test that is comparable in power to the basic test under perfect rankings and also maintains its level under imperfect rankings. Both tests extend naturally to judgment post-stratification, unbalanced RSS, and even RSS with multiple set sizes. Interestingly, the tests have no simple random sampling analog.     

Probabilistic frontier regression models for binary type output data

This paper proposes a probabilistic frontier regression model for binary type output data in a production process setup. We consider one of the two categories of outputs as ‘selected’ category and the reduction in probability of falling in this category is attributed to the reduction in technical efficiency (TE) of the decision-making unit. An efficiency measure is proposed to determine the deviations of individual units from the probabilistic frontier. Simulation results show that the average estimated TE component is close to its true value. An application of the proposed method to the data related to the Indian public sector banking system is provided where the output variable is the indicator of level of non-performing assets. Individual TE is obtained for each of the banks under consideration. Among the public sector banks, Andhra bank is found to be the most efficient, whereas the United Bank of India is the least.