Collaborative business models: Aligning and operationalizing alliances

It is not unusual for companies to generate substantial revenue through alliances. However, alliance failure rates are high, leaving much revenue at risk and value unrealized. The big challenge facing managers is to align company interests with alliance interests. Such alignment can only be achieved when executives pay considerable attention to building the right collaborative business model. In this article, we synthesize the insights of the existing literature to arrive at three collaborative business models—sharing, specialization, and allocation—that managers can use to address the specific requirements of their alliances. Because the literature provides limited insight regarding how to operationalize these models, we highlight what managers need to focus on when operationalizing each of these models. We find that the choice for an overall business model is relatively straightforward in most cases but that operationalization of business models requires more complex combinations of management techniques. Finally, we show how the three collaborative business models can be combined to build hybrid models.     

How resilient is La Réunion in terms of international tourism attractiveness: an assessment from unit root tests with structural breaks from 1981-2015

Even if local policymakers increasingly claim that tourism is one of the key factors of future economic development for the French small island La Réunion, international tourist arrivals are observed to be locked in a stagnation phase since the beginning of the 2000s. Starting from this stylized fact, this article aims to study if this phenomenon results from major external events hurting this economy regularly. Next, by using univariate unit root procedures with structural breaks, we test for evidence of permanent or transitory effects of external shocks on international tourist inflows (total, by source markets, and by category) over the period 1981–2015. Finally, the empirical analysis allows us to reject the null of a unit root. Then, stagnation of tourism arrivals to La Réunion is not due to exogenous shocks but probably results from endogenous impediments within the domestic tourism industry and unsuitable public policies.     

巢湖派河流域清水廊道技术产业推广模式的构建

派河为巢湖一级支流，水质差，针对派河流域开展了多项研究，产生了多项清水廊道技术，尚缺乏有效的产业化推广模式，基于此，构建了多层次、多元化清水廊道技术产业推广模式（“2S”VIP）。该模式包括组织机构、运行机制、推广模式平台、保障措施等。其中清水廊道技术推广模式平台包括综合技术信息平台、综合服务平台、产业化推广平台，以综合技术信息平台为支撑，以互联网+、大数据等为手段，综合服务平台为依托，产业化推广平台实现技术与市场的衔接。在政府的引导和监督下，通过一系列保障措施使各平台能顺利运行，达到产、学、研、用的有机融合。     

基于VAR模型探究BDI和燃油价格的相互影响

燃油价格近期受疫情影响出现剧烈波动,国际干散货航运市场也受到巨大影响。基于Clarksons官方数据库1992年1月至2020年4月相关数据,进行实证研究发现,国际燃油价格的暴跌对波罗的海干散货运价指数的下降有着显著的正向影响;燃油价格虽然也在一定程度上受到BDI的影响,但存在一定的滞后性。这有利于干散货运输公司根据燃油价格波动预测运价指数的变化趋势,从而采取多样的方式应对冲击。也对保障干散货运输市场的稳定发展有重要意义。     

基于GIS的边坡三维极限平衡模型研究

自然界中发生的滑坡绝大多数呈三维形态,边坡稳定性分析应从三维的角度进行处理。在实际边坡工程作业中,科学地计算边坡受到边界条件约束、荷载作用、土体性质在空间上变异等实际形态的影响,同样需要进行三维稳定性分析。目前边坡稳定性分析仍以二维极限平衡法为主。当滑动面已经确定时,使用三维分析可以恰当地考虑滑坡的三维形态对安全系数的影响,同时可以避免二维分析时如何选择代表性横截面,计算结果是否合理等问题。     

REGIME DEPENDENT EFFECT OF OUTPUT GROWTH ON OUTPUT GROWTH UNCERTAINTY: EVIDENCE FROM OECD COUNTRIES

This paper studies the impact of output growth on output growth uncertainty by considering two important issues hitherto not properly and adequately addressed to in the existing empirical studies specifying this relationship. These are: (i) the possible existence of a threshold level of output growth, and the consequent identification of two regimes characterized by high and low output growth, and (ii) whether or not the coefficient capturing the causal link is different in these two output growth states. This paper proposes a regime switching model to study this asymmetric effect for 16 OECD countries. Based on monthly time‐series observations, our results strongly support that the impact varies significantly between the two output growth regimes with the coefficient in the high growth regime being negative for majority of the countries.     

Testing commodity futures market efficiency under time-varying risk premiums and heteroscedastic prices

We propose a novel test to measure market efficiency while estimating the time-varying risk premiums of commodity futures, given that the prices are heteroscedastic. The risk premium is estimated using a state-space model with a Kalman filter modified for heteroscedasticity. Using 79 commodity futures traded on 16 exchanges during the period 2000–2014 and a Monte Carlo simulation, we demonstrate that the proposal produces robust results compared with conventional approaches. The global financial crisis has improved the efficiency and affected the trading volumes of commodity futures, but it has had no effect on the average or the volatility of risk premiums.     

The China model view is factually false

ABSTRACT

Using a cross-regional analysis of China, this article shows that the China model view is factually false and the universal model view is factually true. It is the marketization and development of non-state sectors, rather than the strong power of government and the state sector, that have driven the Chinese economy to grow fast and to be increasingly innovative. If China wants to sustain its economic performance, it must stay on the way to continuing marketization. Otherwise, China will fall into stagnation.     

Interpoint Distance Test of Homogeneity for Multivariate Mixture Models

Finite mixtures offer a rich class of distributions for modelling of a variety of random phenomena in numerous fields of study. Using the sample interpoint distances (IPDs), we propose the IPD‐test statistic for testing the hypothesis of homogeneity of mixture of multivariate power series distribution or multivariate normal distribution. We derive the distribution of the IPDs that are drawn from a finite mixture of the multivariate power series distribution and multivariate normal distribution. Based on the empirical distribution of the IPDs, we construct a bootstrap test of homogeneity for other multivariate finite mixture models. The IPD test is applied to mixture models for matrix‐valued distributions and a test of homogeneity for Wishart mixture is presented. Numerical comparisons show that IPD test has accurate type I errors and is more powerful in most multivariate cases than the expectation–maximization (EM) test and modified likelihood ratio test.     

Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations

In most surveys, one is confronted with missing or, more generally, coarse data. Traditional methods dealing with these data require strong, untestable and often doubtful assumptions, for example, coarsening at random. But due to the resulting, potentially severe bias, there is a growing interest in approaches that only include tenable knowledge about the coarsening process, leading to imprecise but reliable results. In this spirit, we study regression analysis with a coarse categorical‐dependent variable and precisely observed categorical covariates. Our (profile) likelihood‐based approach can incorporate weak knowledge about the coarsening process and thus offers a synthesis of traditional methods and cautious strategies refraining from any coarsening assumptions. This also allows a discussion of the uncertainty about the coarsening process, besides sampling uncertainty and model uncertainty. Our procedure is illustrated with data of the panel study ‘Labour market and social security' conducted by the Institute for Employment Research, whose questionnaire design produces coarse data.