基于状态空间模型的政产学研资协同创新四螺旋影响因素实证研究

在三螺旋理论框架下，搭建政府、产业、大学、研究机构和资本部门四螺旋模型，运用文献归纳法选取多元主体协同创新6类影响因素，以主体间协同程度测度结果为因变量基础，利用状态空间模型动态分析这些因素影响方向、大小和趋势。实证结果表明，中国经济因素表现为促进作用持续提升；中国技术市场规模和创新产业规模表现为先抑制后促进，且促进作用不断提升；中国产品市场需求和创新投入表现为抑制作用持续提升；中国创新产出在时间上表现为促进作用先提升后下降并最终稳定的状态。最后，提出不同政策建议，以促进中国政产学研资协同创新体系后续发展。     

Industry risk transmission channels and the spillover effects of specific determinants in China’s stock market: A spatial econometrics approach

This paper uses a spatial econometrics approach to study the industry risks in China’s stock market. We comprehensively consider the real linkage and information risk transmission channels and analyze the risk spillovers of specific determinants. Our empirical results show the following: 1) The real linkage channel and information channel are both effective transmission channels for driving spillover effects, and the information channel is of the utmost importance. 2) The spillover effects of specific determinants exist and are persistent. The superposition of spillover effects may lead to extreme risk. 3) The transmission channels and spillover effects are asymmetric in different regimes.     

就业结构调整对水库移民土地流转的影响研究*——以南水北调中线工程移民为例

[目的]为促进水库移民的生计恢复及转型,探寻就业结构和土地流转间的交互机制,分析两者间耦合作用对当前移民安置模式及政策的影响。[方法]文章从移民就业结构变迁出发,通过超边际理论构建了安置区移民土地的流转机制模型,推演了从业决策对土地流转行为的影响路径,并运用南水北调农业安置移民数据进行实证检验。[结果]大面积转出土地是移民搬迁后土地处置的主要行为,移民中土地转入户有所增加,但土地集中度却有所减少。移民非农就业较搬迁前有明显上升,并有向当地兼业转移的趋势,但与土地流转间并不互为因果,农村社保还难以弱化其对土地养老的依赖。劳动力数量、非农就业时间、非农收入占比、土地政策等对移民土地流转行为和规模均有显著影响,而外出就业前景和地租水平在促进土地流转行为的同时,却不一定能增加土地流转面积。[结论]移民外迁中可以采用无土安置代替农业安置,推动移民土地流转的关键在于技能培训、政策保障和地租补贴,简单的就业推荐和土地权属划分的作用有限。而对于移民中的农业大户,则需在满足土地转入面积的基础上,保障其在安置区的各项土地权益。     

中国北方大规模生猪养殖技术效率研究

[目的]通过对我国北方地区大规模生猪养殖技术效率进行测度,以期发现影响其技术效率增长的主要因素,为我国现阶段生猪养殖业战略性区划调整"南猪北进"工作提供实践指导和理论支持。[方法]根据随机前沿分析方法 (SFA)基本原理,运用对数型柯布—道格拉斯生产函数及我国北方大规模生猪养殖数据构建中国北方大规模生猪养殖随机前沿分析模型,对我国北方大规模生猪养殖技术效率进行测度并据此提出相关建议。[结果]北方地区大规模生猪养殖技术效率值纵向上来看整体在不断下降,而从地域上来看内蒙古自治区和东北地区技术效率值较高,北京与西北地区技术效率值较低。[结论]内蒙古自治区与东北地区适宜作为大规模生猪养殖承载地,与国家政策具有一致性;华北地区与西北地区大规模生猪养殖技术效率测度值较低,存在较大改进空间;针对该现状提出构建经济效益与环境保护并重的规模生态生猪养殖体系。     

Teamwork skill assessment: Development of a measure for academia

Popular teamwork assessments have been strongly criticized on the grounds of poor psychometric properties and their disconnect with conceptual models of teamwork. These issues raise concerns with respect to our ability to evaluate efforts devoted to advancing teamwork in academia. We report the development of a teamwork assessment that builds on empirically supported conceptualizations of team processes. Two studies were conducted to test and to cross-validate the psychometrics of the resulting measure. In the discussion section, we address the implications of our findings for conceptual models of teamwork and provide guidelines for using the measure in business education.     

E-tailer personality and behavioral intentions: the application of self-congruity theory

The present study is an effort to develop an e-tailer personality scale. Subsequently, we check the impacts of e-tailer personality on self-congruity and behavioral intentions such as intention to re-shop and intention to recommend. We have followed a traditional scale development method – item generation, purification, and dimension assessment. A structure questionnaire has been used to collect primary data online. A structure equation model was used to analyze the data. This study has developed a e-tailer personality scale of five dimensions: sophistication, competence, excitement, sincerity, and convenience. The results of a structural equation model largely support the propositions that e-tailer personality is positively related to self-congruity. The results also show that e-tailer personality, behavioral intentions and self-congruity are positively related. A comparison of the developed scale with the existing brand personality scales, results in a unique dimension of e-tailer personality scale. Arguably, this study may be seen as a first study in an emerging economy and online retailing domain. The results have both academic and managerial implications.     

Effects of scale economies and production seasonality on optimal hub locations: the case of regional fresh produce aggregation

Interest in supporting local and regional food systems is rising and food hubs have attracted considerable attention among Federal, State, and local policymakers. This study explores the problem of endogenous hub location in fresh produce value chains in the Northeastern United States. To overcome limitations in the literature, we incorporate the effects of economies of scale and production seasonality into our models. Three experimental models are designed to examine the effects of alternatively applying yearly, quarterly, and monthly data on model solutions. We explicitly assess how interactions of scale economies and seasonality influence the structure and spatial attributes of an optimal regional produce aggregation hub system. The three models generate marketed different solutions and in many respects they lead to different conclusions about developing local/regional supply chains. The monthly model allows for production seasonality and actual hub operation cycle frequency and thus leads to more efficient hub solution with rich policy implications.     

Persistence of Price–Cost Margin and Technical Efficiency in the Indonesian Food and Beverage Industry

Abstract

This research investigates the persistence of price–cost margin (PCM) and technical efficiency (TE) of firms and the relation between these two factors in 44 subsectors of the Indonesian food and beverage industry in the period 1980–2014. Data envelopment analysis with a bootstrapping approach is applied to estimate TE. An autoregressive model, accounting for endogeneity, is applied to estimate the persistence coefficients of PCM and TE. A cross-sectional regression model is also applied to estimate the relation between the persistence of the PCM and the persistence of TE. The results show that for these food and beverage firms, high PCM and low TE persist. Furthermore, the persistence of PCM negatively affects the persistence of TE in the industry.     

苹果种植适度规模经营研究*——以陕西省白水县为例

［目的］分析苹果种植户经济效益的影响因素，研究适合苹果种植的农地规模，提高白水县果农苹果种植的经济效益，探索苹果产业可持续发展经营模式，丰富以果蔬为主的集约型经济作物适度规模经营研究范围。［方法］采用实地调研法，对陕西省白水县230户苹果种植户进行问卷调查，从收益最大化角度，运用柯布道格拉斯生产函数对苹果生产的投入产出进行经济分析，构建收益最大化模型，测算白水县苹果种植的最适规模，分析苹果产量的影响因素，探讨劳动力投入、资本投入、有效面积和果农参加技术培训对苹果产出的影响和贡献程度，并用钱克明等对农地的适度经营规模定义进行结果验证，最后提出合理的政策建议。［结果］经过分析，在同等技术条件下，劳动力投入、资本投入、有效种植面积、果农参加技术培训的次数对苹果的产出具有显著影响。以农户收益最大化模型测算的劳均经营规模面积在0363~0447hm2（544~670亩）的可视为适度规模，根据钱克明等的适度经营规模目标值的计算，其函数解为550，在适度规模范围之内。即户均农地适度经营规模0751~0966hm2（1127~1449亩）。目前白水县苹果生产处于规模报酬递减阶段，农资市场环境和劳动力投入方面仍然存在短板。［结论］建议扩大白水县户均苹果种植面积，提升土地经营效益，从而增加果农收入，支持农业新型经营主体发展，创新发展模式； 建立新型职业农民培育体系，促进苹果种植户剩余劳动力转移，提高农民非农收入； 从法律上规范农村地区农资市场环境； 规范农户绿色生产经营行为，提高化肥的使用效率和开发新的高效肥料； 政府引导农地的适度规模集中，整合资源进行规模化、现代化的经营。     

Multi-criteria analysis of economic complexity transition in emerging economies: The case of Paraguay

Like many emerging economies, the productive structure of the Paraguayan economy is not complex. It relies extensively on low value-added activities in the primary sector such as agriculture and cattle ranching. These activities have a lower return in terms of economic and social benefits than other potential productive activities and do not contribute to increasing capability accumulation. In this paper we present a tool to support the identification of strategic sectors and products which if taken advantage of, could leverage development through the accumulation of productive capabilities. Our guiding question is: Which productive sectors should be promoted to foster economic development in Paraguay through a transition towards a more complex economy? To answer this question, we use concepts from the Economic Complexity theory to identify new products and cluster them based on the Product Space methodology for the determination of potential products and combine it with the Analytic Hierarchy Process (AHP) for multicriteria analysis considering multiple criteria. In doing so, our proposed methodology contributes to both the Economic Complexity and the AHP literature. Through this combination, we tackle the multiplicity of juxtaposed criteria, which should be considered at the prioritization stage in the crafting of economic restructuring measures according to the country's capabilities. Our evaluation showed that the combination of the approaches is useful, and for Paraguay's case, it helped identify sectors, which, if promoted by policymakers, could help boost economic development through complexity and capability accumulation.