贫困山区农户茶叶生产技术效率及影响因素研究

基于湖北省382份茶叶种植户调研数据,采用随机前沿生产函数模型“一步估计”法分析贫困山区农户茶叶生产技术效率和影响因素。研究结果表明:样本户茶叶种植存在较大改进空间;样本户资本和劳动力投入剩余;茶园的海拔、树龄、茶农是否加入合作社、种植面积、户主是否受过种茶培训等因素对农户茶叶生产技术效率有重要影响。因此,提出紧抓乡村振兴战略机遇,推动贫困山区茶产业高质量发展;建立茶产业“三项补贴”,改善茶园基础设施条件;优化茶叶种植布局,提高合作社服务水平;成立茶产业发展基金,加快培育职业茶农,以提高贫困山区农户茶叶生产技术效率。     

论移动应用平台的运维运营及技术管控工作

电力企业在移动信息化技术方面也迈出了步伐,开展电力业务现场作业、物资与基建的现场作业、故障抢修等班组作业应用,本文主要讨论移动应用平台的运维和技术管控工作,为移动应用平台的建设和发展提供一种工作思路。     

A spatial autoregressive stochastic frontier model for panel data incorporating a model of technical inefficiency

By integrating Battese and Coelli’s (1995) model and the spatial autoregressive model (SAR), a spatial autoregressive stochastic frontier model for panel data is developed. The main feature of this frontier model is a spatial lag term of explained variables and the joint structure of a production possibility frontier with a model of technical inefficiency. The model addresses both spatial dependence and heteroskedastic technical inefficiency. This study applies maximum likelihood methods considering the endogenous spatial lag term. The proposed model nests several existing models. Further, an empirical analysis using data on the Japanese manufacturing industry is conducted and the existing models are tested against the proposed model, which is found to be statistically supported. The findings suggest that estimates in the existing spatial and non-spatial models may exhibit bias because of lack of determinants of technical inefficiency, as well as a spatial lag. This bias also affects the technical efficiency score and its ranking.     

农业保险促进了农业绿色生产率提高吗

农业保险是促进农业发展由过度依赖资源消耗向绿色可持续发展转变的重要手段。本文通过构建2001-2015年全国31个省份的农业投入产出与污染排放面板数据，利用GML指数方法对农业绿色生产率进行测算并将其分解为绿色技术进步和绿色技术效率，然后运用系统GMM估计方法实证检验了农业保险对农业绿色生产率的影响。主要结论有：农业保险对农业绿色技术进步有显著的促进作用；农业保险对农业绿色技术效率有显著的抑制作用。农业保险对绿色技术进步的促进大于其对绿色技术效率的抑制作用，从而使得其对农业绿色生产率呈现显著的促进作用。     

Settlement procedures and stock market efficiency

This study examines why most derivatives markets that settle on the day following expiration choose the opening rather than the closing price as the final settlement price (FSP), whereas most markets that settle on the expiration day select an average rather than a single price as the FSP. Four exogenous changes in the Taiwan Futures Exchange settlement procedures provide an experimental basis for studying the settlement procedures’ impact on underlying assets. Greatest market efficiency is observed when the FSP is determined by a single rather than an average price and hypothesize that manipulation is prevented at the expense of market quality.     

One-sided provision of a public good through bargaining under representative democracy

We examine a trade-off between strategic delegation and the internalization of interregional externalities through bargaining in the context of political economy. We show that in the case of one-sided provision of a public good, if the public good produced by one region generates a sufficiently significant spillover to another region, then interregional negotiation increases the total surplus of the entire economy.     

河北省产业承接的技术溢出效应研究

京津冀协同发展战略上升为国家战略,河北加快承接京津产业转移的步伐,对河北经济转型升级和科技创新能力提升具有重要意义。以河北省为研究对象,基于2005-2016年的数据,使用DEA的曼奎斯特指数方法测算出河北省十二年的技术进步变化情况,并以此为核心变量建立技术溢出模型实证检验了产业承接的技术溢出效应。研究结果发现,河北存在承接区际产业的技术溢出效应,但FDI的技术溢出效应并不显著;R&D经费投入对河北技术进步的促进作用最为明显,而人力资本投入对技术进步的拉升作用较小。     

普惠金融与县域资金外流：减贫还是致贫*——基于中国592个国家级贫困县的研究

本文利用全国592个国家级贫困县的数据，采用空间计量模型实证分析了普惠金融对县域资金外流的影响，并验证了贫困县资金外流是否会产生致贫效应。本文研究发现：如果普惠金融只注重解决贫困地区对金融机构的接触性排斥，会进一步加剧资金外流，对减贫产生负向影响，即存在显著的致贫效应。这种致贫效应具有明显的空间外溢性，邻近县域的贫困状况在很大程度上会彼此“传染”，并具有空间衰减特征的地理边界。因而需要客观认识普惠金融的本质，有针对性地选择恰当有效的实施载体，解决好对信贷产品等关键金融服务的使用性排斥问题。     

土地细碎化和土地质量是否影响小麦技术效率*——基于山东省小麦种植户的实证分析

［目的］小麦是我国重要的口粮之一，提高小麦的技术效率对于保障粮食安全具有重要的战略意义。在测算小麦技术效率的基础上，找出影响小麦技术效率的关键因素，为保障国家口粮安全提供参考。［方法］基于调研数据，运用超越对数生产函数以及一步随机前沿分析方法，构建计量模型分析土地细碎化和土地质量对小麦技术效率的影响。［结果］全部样本的技术效率差距较大，规模经营农户的技术效率高于小农户，农户技术效率最高的种植面积为67~333hm2，代表小麦种植的适宜规模。从技术效率的影响因素来看，土地细碎化程度和土地质量都对小麦生产的技术效率产生显著影响。［结论］为了提高小麦的技术效率，应该发展多种形式适度规模经营，鼓励创新土地流转形式，提高农业机械化水平； 深入开展土地质量调查，因地制宜地选择土地修复路径； 实行精准补贴，切实保护农民的利益。     

The intertemporal risk-Return relation,investor behavior,and technical trading profits: evidence from the G-7 countries

The intertemporal risk-return relation and investor behavior are both important pricing factors that jointly determine the expected market risk premium. Using the price adjustment process as a control variable, we find that the intertemporal risk-return relation is positive conditional on bad market news, but is non-positive conditional on good market news. This implies that good (bad) market news weakens (strengthens) the positive risk-return relation. The pattern in the distortion of the risk-return relation is consistent with short-term mispricing in which investors overvalue (undervalue) the stock market in reaction to good (bad) market news. We also show that ignoring the price adjustment process in the estimation of the risk-return relation leads to model misspecification and induces an upward (downward) bias in estimates of the relative risk aversion parameter conditional on good (bad) news. Our model of the asymmetric risk-return relation along with the price adjustment process is capable of generating the return dynamics that is attributable to technical trading profits. We suggest that the profitability of technical trading rules is not a violation of market efficiency, but a consequence of trading rules exploiting the asymmetric effect of price changes on the risk-return relation, along with the persistence property of price changes.