Government debt and fiscal execution efficiency

Governments have used deficit policies in recent years, yet many still face fiscal debt problems. Thus, this research uses Range Directional Measure Dynamic Directional Distance Function model with negative data to explore the financial efficiency of local governments in Taiwan from 2011 to 2018. This article has three major contributions: (1) The research uses RDM Dynamic DDF model with negative data to solve the problem of negative values on input and output data and uses dynamic models to make up for the deficiencies of past research. (2) Due to the differences in regions, local governments have different fiscal budgets. Therefore, this article uses the Wilcoxon Test to explore the efficiency differences of local governments in different regions. (3) This article analyzes the impact of central subsidies and government deficits (debts) of local governments on fiscal efficiency, and discusses the efficiency of government fiscal execution. The results are as follows. (1) Seven counties and cities with the best efficiency, and seven local governments with poor efficiency. (2) The fiscal performances of outlying islands and eastern local governments are better than those of western local governments. (3) Kaohsiung City has the highest accumulated debt and Tainan City exhibits poor financial performance.     

川西北高原藏区农村贫困化分异机制探测

[目的]客观揭示农村贫困化地域分异机制,为科学推进川西北高原藏区精准扶贫创新途径、综合战略和认真贯彻落实中央治藏方略提供参考依据。[方法]应用地理探测器模型、GIS空间分析与地统计方法等方法,探测川西北高原藏区贫困村单位面积GDP分异的主导因素,揭示农村贫困化分异机制,提出不同贫困化地域类型的扶贫政策措施。[结果]影响川西北高原藏区农村贫困化分异的主导因素包括到主要交通道路距离、归一化植被指数(NDVI)、土地利用、年均温度和海拔高程等,各因素对贫困村经济发展分异的解释力分别为80. 76%、12. 82%、8. 82%、5. 45%和3. 96%;贫困村经济发展贫困化的分异机制存在明显差异,可归纳为交通区位约束型、自然环境约束型和经济区位约束型等三大类型;农村贫困化驱动机制下的贫困村精准扶贫政策措施亟需因地制宜、科学推进、讲求实效,有序推进精准扶贫战略。[结论]精准扶贫应分类指导、重点突破,尤其加强贫困村交通、水利、公共基础设施建设和特色农牧业产业培植,注重多种扶贫模式的综合集成。     

基于主成分分析法的地铁运营关键绩效指标体系研究

目前国内研究尚缺乏一套科学的、系统的、有效的对地铁运营的评价体系.本文以成都地铁为研究对象,采用问卷调研法,将16个初级指标做成问卷让受访者进行打分,之后将数据导入SPSS软件,分析其效度与信度,剔除信度较低的指标,最终获得3个一级指标和15个重要的二级评价指标,并以此构建出一套对地铁运营绩效的评价指标.最后通过对受访者问卷的打分情况,分析出乘客看重哪些因子,并以此向相关部门提出建议.     

基于主成分分析法的地铁运营关键绩效指标体系研究

目前国内研究尚缺乏一套科学的、系统的、有效的对地铁运营的评价体系.本文以成都地铁为研究对象,采用问卷调研法,将16个初级指标做成问卷让受访者进行打分,之后将数据导入SPSS软件,分析其效度与信度,剔除信度较低的指标,最终获得3个一级指标和15个重要的二级评价指标,并以此构建出一套对地铁运营绩效的评价指标.最后通过对受访者问卷的打分情况,分析出乘客看重哪些因子,并以此向相关部门提出建议.     

险资股权投资的结构性改革研究*——基于险资投资的倒U型效应分析

保险资金作为重要的机构投资者能否发挥促进公司绩效提升的作用在已有研究和监管政策制定上都存在较大争议。本文以2005-2017年A股上市公司为研究样本，发现险资持股比例对上市公司绩效以及估值影响存在显著的倒U型曲线效应，相应机制研究表明险资持股通过显著影响两类代理成本的渠道发挥治理作用。在适度持股比例以下，险资增持能够降低被投资公司管理费用率和其他应收款占比，并提高资产周转率，从而降低两类代理成本；持股超过一定比例反而造成两类代理成本上升。险资持股比例变化对保险机构调研次数的影响则从公司治理参与角度印证了以上结论。对倒U型曲线效应的深入分析既有助于深化对机构投资者影响公司绩效的多重效应和机制的认识，同时为在金融机构层面落实金融供给侧结构性改革、增强险资服务实体经济能力提供参考。     

互联网对企业协同创新中知识增值的影响——软创新资源的作用

互联网环境下协同创新中的知识增值运行机制发生重大改变。从知识流视角出发，整合资源基础观与知识基础观，在完善软创新资源概念的基础上，通过对4个案例的深入探索，分析软创新资源各维度对协同创新知识增值的影响。结果表明，互联网的群智性、泛在性等特点可以孕育出软创新资源，进而影响协同创新中的知识增值。其中，软创新资源包括开放型信息资源、协同型关系资源、创新型文化资源以及技术型能力资源4个维度，并分别作用于知识获取、知识转移、知识创造和应用，从而实现知识增值。最后，针对如何最大程度地发挥互联网在促进知识增值方面的作用，提出相关建议。     

户籍制度扭曲及放松对经济的影响:理论与实证

户籍制度是我国劳动力流动的主要障碍.那么,当前我国的户籍扭曲程度几何?户籍制度放松对经济又会有怎样的影响?对这些问题的回答将有助于政府评估户籍制度改革的空间和经济效益.文章在Hansen和Prescott(2002)的两部门劳动力流动模型基础上,将工人分为农业和非农户口,引入户籍扭曲因子,构建两部门两类工人的户籍扭曲模型;然后,使用1984?2013年宏观经济数据度量户籍扭曲程度,并对2013年我国户籍制度逐渐放松过程中经济变量的变化进行模拟;最后,文章建立了包含"农业与非农"和"本地与外地"户籍差异的省份异质性户籍扭曲模型.研究表明:(1)经济和户籍制度改革的不同步导致了1984?2013年我国户籍扭曲程度呈现倒"U"形变化,且相较于韩国尚有较大的改善空间;(2)以韩国为参照,若2013年我国户籍制度完全放开,经济达到均衡时,农业部门和非农部门的就业人数将分别下降58.83%和上升26.92%,工资率将分别上升19.44%和下降6.77%,社会增加值将增长15.33%,这说明社会经济效率将得到提升,贫富差距将缩小.文章丰富和完善了户籍扭曲的理论模型,从减少劳动力流动摩擦的视角为政府制定相关政策提供了参考.     

Household Determinants of the Adoption of Improved Cassava Varieties using DNA Fingerprinting to Identify Varieties in Farmer Fields: A Case Study in Colombia

We examine factors affecting the adoption of improved cassava varieties of 217 households in the Cauca Department in southwest Colombia. Using DNA fingerprinting through Single Nucleotide Polymorphisms (SNPs), we identified different cultivars in farmers fields. We also used this information to remove possible bias in the adoption model that could have resulted from a misclassification of improved varieties (IVs). As a result, we found that farmers substantially overestimate their use of IVs and there are important differences in the determinants of adoption between farmer self‐identification and DNA fingerprinting. This finding implies that the incorporation of DNA fingerprinting in IV adoption studies is important to ensure the accuracy of future agricultural economic research and the relevance of subsequent policy recommendations.     

Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.