Regional and National Perspectives of China's Integration into the WTO: A CGE Inquiry with Emphasis on the Agricultural Sector

China's integration in the World Trade Organization (WTO) is already on its fast track. Understanding the complexity of China's dynamic adjustment resulting from its membership in the WTO and the differential regional impacts within China is very important and poses crucial challenge in evaluating its impacts. In this study, we make an attempt to incorporate seven regional commodity-detailed models into a dis-aggregated multi-sector and multi-region China Computable General Equilibrium (CGE) framework. This framework has allowed us to evaluate the impacts of China's integration into the WTO at both national and regional levels and analyze the inter-linkages between China's provincial agricultural markets. Using the framework and assumptions about factor mobility, we assess the impacts on China's agricultural and non-agricultural sectors (regionally and nationally) by reduction of its trade policy distortions, such as tariffs rate changes and quantitative restrictions. We also evaluate the structural changes on China's national and regional production and trade as China implements its commitments and moves into the WTO.     

Trust and creativity: understanding the role of trust in creativity-oriented joint developments

In this article we report on the design, prototyping and results of a research effort aimed at identifying whether and how trust affects the innovativeness of a partnership between two players. The methodology combined an experiment and two questionnaires. The research aimed to increase our understanding of trust and its impact on the innovative outcome of cooperation and to derive some guidance for economic actors, namely R&D managers and executives who intend to build innovation-oriented relationships with their business partners. Specifically, we investigated the effect of trust on partners' creativity and willingness to invest financially in a joint development. Our results show that more trustful partners invest higher amounts in the alliance, while there seems to be an optimum amount of mutual trust between partners who maximize their joint creativity and innovativeness; if the level of mutual trust is below or above this threshold, their joint creativity seems to increase less or even to decrease. Our findings suggest that joint development projects should always include explicit trust development activities at the beginning of the project, and that the amount of trust in the joint team should be monitored to avoid the negative consequences of excessive trust.     

Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models

There has been considerable and controversial research over the past two decades into how successfully random effects misspecification in mixed models (i.e. assuming normality for the random effects when the true distribution is non‐normal) can be diagnosed and what its impacts are on estimation and inference. However, much of this research has focused on fixed effects inference in generalised linear mixed models. In this article, motivated by the increasing number of applications of mixed models where interest is on the variance components, we study the effects of random effects misspecification on random effects inference in linear mixed models, for which there is considerably less literature. Our findings are surprising and contrary to general belief: for point estimation, maximum likelihood estimation of the variance components under misspecification is consistent, although in finite samples, both the bias and mean squared error can be substantial. For inference, we show through theory and simulation that under misspecification, standard likelihood ratio tests of truly non‐zero variance components can suffer from severely inflated type I errors, and confidence intervals for the variance components can exhibit considerable under coverage. Furthermore, neither of these problems vanish asymptotically with increasing the number of clusters or cluster size. These results have major implications for random effects inference, especially if the true random effects distribution is heavier tailed than the normal. Fortunately, simple graphical and goodness‐of‐fit measures of the random effects predictions appear to have reasonable power at detecting misspecification. We apply linear mixed models to a survey of more than 4 000 high school students within 100 schools and analyse how mathematics achievement scores vary with student attributes and across different schools. The application demonstrates the sensitivity of mixed model inference to the true but unknown random effects distribution.     

Contemporary Economic thought. The Contribution of Neo-Institutional Economics

This article examines the historical developments of the institutionalist theory of the business enterprise since the early 1900s in order to demonstrate its distinctive characteristics that are often overlooked or belittled by some institutional-evolutionary economists and most mainstream economists. I argue that the institutionalist theory is an evolving and emergent theory, which bears a reciprocal, evolutionary, and cumulative relationship between the business enterprise and society. The institutionalist theory is, therefore, suitable for the understanding of the real-world business enterprise as it can be modified and refined along with the evolution of capitalism. The article begins with a discussion of the present state of the institutionalist theory. The following section is devoted to the major contributions to the institutionalist theory situated in the evolution of U.S. capitalism. The penultimate section provides a critical discussion of new institutional and evolutionary approaches to the firm. The article concludes with a brief discussion as to what should be done for the further development of the institutionalist theory of the business enterprise.