NVC龙企功能升级模式演进及机理纵向案例研究——技术自主性视角

国内龙头企业核心技术自主可控成为制约NVC（国内价值链）功能升级的关键问题。通过文献归纳，以能力自主与产权自主解构技术自主性内涵，并根据产品平台与技术轨道双维度划分NVC龙企功能升级模式。基于“能力—战略—行为—绩效（RSCP）”分析框架，选取华为海思公司作为纵向案例研究对象，探索技术自主性视角下NVC龙企功能升级模式及演进机理。结果发现，模块创新与知识产权创造能力通过产品渐进升级模式提升供应链；架构创新与知识产权布局能力可以调整技术轨道，通过产品突破升级模式I打通创新链；架构创新、模块创新和知识产权运营能力可以变革技术轨道，通过产品突破升级模式II主导价值链。     

“互联网+创业”服务平台用户使用意愿影响机理研究——基于D & M模型和计划行为理论视角

针对互联网创业服务特点，基于计划行为理论信息系统成功模型构建新的理论模型，使用结构方程模型进行数据分析，以解释互联网创业服务平台用户持续使用意愿。通过模型分析发现，兼容性和线上线下互动通过知觉行为控制正向显著影响用户满意度和用户使用意愿，信息品质直接影响用户对互联网创业服务平台的使用意愿，而用户满意度在平台信息品质、系统品质、服务品质与使用意愿之间具有中介效应。基于此，提出完善互联网创业服务平台和提升用户使用意愿的对策建议。     

Trading volume and stock returns: A meta-analysis

I examine 468 estimates on the relationship between trading volume and stock returns reported in 44 studies. I study publication bias together with Bayesian and frequentist model averaging to explain the heterogeneity in the estimates. The results yield three key conclusions. First, publication bias distorts the findings of the primary studies. Second, the predictability of stock returns varies with different markets and stock types. Third, different data characteristics, structural variations and methodologies used drive the heterogeneity in the results of the primary articles. In particular, one should be cautious when using monthly data or VAR models.     

中印电影产业国际竞争力的比较研究

随着经济全球化的不断发展,电影产业对一国经济的发展起着越来越重要的作用。同属于发展中国家的中国和印度,电影产业的发展却存在较大差异。基于"钻石模型"理论,从需求、资源、相关支持产业以及企业战略、结构和政府五个方面剖析了中印电影出口存在的差异及成因,提出了改革电影体制,落实政策法规;缩小文化差异,打破文化隔阂;完善资源整合,改革营销策略;刺激国内需求,形成规模效应等对策建议。     

Assessing time-varying stock market integration in Economic and Monetary Union for normal and crisis periods

In this paper, we examine the stock market integration process amongst 17 Economic and Monetary Union (EMU) countries from January 2002 to June 2013 over a normal period as well as for the Global Financial Crisis (GFC) and Eurozone Debt Crisis (EDC) periods. We classify the economies in three groups (A, B and C) based on their GDP to examine whether the economic size influences financial integration. Seven indicators are used for the purpose, namely, beta convergence, sigma convergence, variance ratio, asymmetric DCC, dynamic cointegration, market synchronisation measure and common components approach. The results suggest that large-sized EMU economies (termed as Group A) exhibit strong stock market integration. Moderate integration is observed for middle-sized EMU economies with old membership (termed as Group B). Small-sized economies (termed as Group C) economies seemed to be least integrated within the EMU stock market system. The findings further suggest presence of contagion effects as one moves from normal to crisis periods, which are specifically stronger for more integrated economies of Group A. We recommend institutional, regulatory and other policy reforms for Group B and especially Group C to achieve higher level of integration.     

太行山区耕地整理适宜性评价及障碍因子诊断——以河北省涞源县为例

[目的]耕地整理适宜性评价是土地整治规划的基础,可以为划定耕地整理重点区域、确定耕地整理项目和整理时序提供依据。[方法]文章以位于太行山区的涞源县为研究区域,以现状耕地图斑为评价单元,经独立性分析后选取地形坡度、表层土壤质地、灌溉保证率、耕地系数、与道路距离、与城镇中心距离、地质灾害易发性7个评价指标,运用贝叶斯概率模型计算各指标权重及未整理耕地的整理后验概率,并得到研究区未整理耕地的适宜性空间分布。同时根据改进的障碍因子诊断模型,分析了各适宜整理区的障碍因子并提出相应的整理措施。[结果](1)在影响涞源县耕地整理的各因素中,影响程度从小到大依次是表层土壤质地、与城镇中心距离、耕地系数、地形坡度、与道路距离、地质灾害易发性和灌溉保证率;(2)在涞源县未整理耕地中,高适宜整理区与较适宜整理区占未整理耕地的20.79%,可作为涞源县下一步耕地整理的选择;(3)制约涞源县全域耕地质量的障碍因子是灌溉保证率,整理过程中应根据实际情况科学寻找灌溉水源、结合地形条件采用蓄、引、提相结合的方式合理布设农田水利设施,提高水资源利用率。[结论]该文可为太行山区更科学合理地开展耕地整理项目提供依据。     

Information Contents in Japanese OTC Drug Advertising from Elaboration Likelihood Model Perspective: Content Analysis of TV Commercials and OTC Drug Websites

Based on the Elaboration Likelihood Model, the current study investigates information types that are cross-promoted in Japanese pharmaceutical advertising. The results from a quantitative content analysis of OTC drug brands' TV commercials broadcasted in Japan between 2014 and 2015 and their corresponding product websites (n = 150) show that Japanese OTC drug promotions feature more informational cues in the latter; cues such as price, safety, quality, components, and guarantees/warranties are particularly prominent. Furthermore, product websites tend to focus more on rational appeals, whereas TV commercials emphasize emotional appeals. No difference is found between these media types regarding celebrity and noncelebrity endorser usage.     

Assessment of land use compatibility and noise pollution at Imam Khomeini International Airport

This study aimed to investigate land use planning around airports, by employing Remote Sensing (RS) and Geographic Information Systems (GIS), in conjunction with an optimization algorithm using an Integrated Noise Model (INM) software, to establish the potential effects of aircraft noise at Imam Khomeini International Airport (IKIA) in Tehran. We also checked for land use compatibility with the noise levels around IKIA and the residents' reaction to the noise. The research was carried out in three stages: a) the establishment of Strategic Noise Map (SNM) scenarios of the airport operation in the years 2011, 2020 and 2030 using the INM software; b) the assessment of the results with emphasis on the study area land uses and application of RS and GIS and the exposure of residents at different levels of environmental noise; and c) the assessment of the intensity of aircraft noise annoyance at various times of day and night. The results indicated that developing IKIA together with the residential development will increase airport noise. Hence proper management and control of noise at IKIA is essential.     

Decision-making in incomplete markets with ambiguity—a case study of a gas field acquisition

We apply utility indifference pricing to solve a contingent claim problem, valuing a connected pair of gas fields where the underlying process is not standard Geometric Brownian Motion and the assumption of complete markets is not fulfilled. First, empirical data are often characterized by time-varying volatility and fat tails; therefore, we use Gaussian generalized autoregressive score (GAS) and GARCH models, extending them to Student’s t-GARCH and t-GAS. Second, an important risk (reservoir size) is not hedgeable. As a result, markets are incomplete which makes preference free pricing impossible and thus standard option pricing methodology inapplicable. Therefore, we parametrize the investor’s risk preference and use utility indifference pricing techniques. We use Least Squares Monte Carlo simulations as a dimension reduction technique in solving the resulting stochastic dynamic programming problems. Moreover, an investor often only has an approximate idea of the true probabilistic model underlying variables, making model ambiguity a relevant problem. We show empirically how model ambiguity affects project values, and importantly, how option values change as model ambiguity gets resolved in later phases of the projects. We show that traditional valuation approaches will consistently underestimate the value of project flexibility and in general lead to overly conservative investment decisions in the presence of time-dependent stochastic structures.