高技术产业国家价值链网络结构与省域增加值分解——来自电子信息产业的证据

为破解我国在高技术产业全球价值链中面临的低端锁定困境，需要构建并完善国家价值链分工体系。构建中国高技术产业国家价值链内生增值传导网络结构分析框架，并以电子信息产业为例，对省域国内增加值进行分解。结果表明，现阶段中国电子信息产业上游技术研发能力较弱，整体增值能力不强；下游间接关联产业部门数量及关联系数值仍待提高；除中游外，上下游出口国内增加值偏低，国际竞争力较弱；东、中部省域国内完全增加值占据优势，内生增值能力方面各有所长，东北、西部省域国内完全增加值及其内生增值能力均较弱。同时，中国省域国际垂直专业化程度未表现出显著地理地区特征，即使同一地域的省域之间也存在不同程度差异。     

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.     

我国高技术产业创新效率的制度贡献及其异质性

高技术产业创新为我国经济转型发展提供新动能，但其现存的低效率创新困局亟待破解。利用1997-2011年高技术产业面板数据，全面考察制度因素对高技术产业技术创新的影响，并就各个制度子因素对技术创新三阶段效率的贡献加以分析。结果显示，整体制度环境优化有利于创新效率提升，制度因素对不同阶段创新效率的贡献具有异质性；以企业为主体的科技创新体制对高技术产业创新效率的影响不显著，表明以企业为主体的创新体系有待进一步完善。最后提出继续深化市场化改革、优化整体制度环境、明确政府职能、真正确立企业创新主体地位等对策建议。     

产学研协同创新成本分摊机制研究

产学研协同创新是推动技术创新的一条重要路径，但创新成本分摊机制是影响产学研协同合作的一个重要问题。通过构建充分竞争市场下的多阶段博弈模型，从成本分摊机制角度探究了如何有效推进产学研协同创新。通过模型扩展与求解，获得成本分摊后的帕累托改善以及产学研协同创新的可行路径。结果表明：企业和学研方基于自身收益最大化而进行的成本分摊协商无法实现帕累托最优，而轮流出价博弈模型下的成本分摊形成机制能够有效改善各方收益，并使整体收益达到帕累托最优，因此是一条现实可行的帕累托改善路径，其中，各方获得的收益增量与耐心程度的对比有关。     

国防科技工业协同创新人才培养模式研究

随着军民融合深度发展的不断推进，国防科技工业协同创新成为国防科技军民融合发展的必然趋势。构建适应国防科技工业协同创新的人才培养模式，既是先进国防科技工业建设的重点任务，也是推进国防科技工业协同创新的重要保证。当前，我国国防科技工业人才培养在教育教学体系、学科专业体系、产学研用对接机制和资源共享机制等方面还存在很多问题。必须把培养一大批国防科技创新人才摆在国防科技工业发展的战略位置，构建以国防科工教育教学体系、国防特色学科体系和协同创新科研支撑体系为基础的创新人才培养体系，完善顶层设计、激励机制、评估体系及配套措施，全面提升人才培养质量效益，为推动国防科技工业创新发展提供持续的人才支撑。     

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.     

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.     

经济政策不确定性与企业投资趋同行为

文章以2003-2017年A股非金融类上市公司为研究样本,考察经济政策不确定性对企业投资趋同行为的影响。研究发现,经济政策不确定性的升高会显著增强企业投资趋同行为,该影响效应在信息优势企业有所减弱,在资产不可逆程度较高企业有所增强。分行业检验发现,在管制性行业以及景气度较低行业中,经济政策不确定性对企业投资趋同行为的影响减弱。进一步研究发现,在经济政策不确定性不断攀升的背景下,实体投资趋同性会带来更为严重的金融化,特别是在行业实体投资总体趋于放缓的情况下,企业金融化现象更加严重。该研究为宏观经济波动下企业投资趋同行为提供了经验证据。     

Time-varying inter-urban housing price spillovers in China: Causes and consequences

The spatial spillovers of housing prices across regions are well documented by a large body of previous studies. This paper tries to investigate the dynamic (time-varying) evolution of spatial interactions and their underlying driving factors intensively. Using a recently developed Generalized Autoregressive Score (GAS) model, this paper examines the time-varying spatial spillovers of housing prices in 70 major and median cities of China from 2006 to 2019. We find that the GAS model can well capture the impact of time-varying critical events of Chinese real estate market on the whole. However, different regions display heterogeneous variation patterns over time. Further investigation shows that inter-regional labor mobility and trades are two major channels, accounting for 1.25% and 2.58% of the monthly standard deviations of spatial spillover effects from one city to another, respectively. We also characterize and distinguish between three time-varying patterns of spatial spillovers within different regions of China. Our results shed lights on the understanding of spatial spillovers across regional real estate markets across different city network structures within China.