The process followed by PPP data. On the properties of linearity tests

Recent research has reported the lack of correct size in stationarity test for PPP deviations within a linear framework. However, theoretically well motivated non-linear models, such as the ESTAR, appear to parsimoniously fit the PPP data and provide an explanation for the PPP ‘puzzle’. Employing Monte Carlo experiments the size and power of the non-linear tests are analysed against a variety of nonstationary hypotheses. Aslo the ESTAR model is fitted to data from high inflation economies. The results provide further support for ESTAR specification.     

Developing a model to evaluate the impacts of science,technology and innovation foresight on policy-making

Technology foresight as a policy intelligence tool can offer vital inputs for policy-making in various domains. The relationship between foresight and policy-making has been presented in the literature by the policy-related functions of foresight, but the literature reflects a theoretical gap with the systematic evaluation model for the impact of foresight on policy-making. This research seeks to bridge the existing gap and uses the mixed method for this purpose. The mixed method approach used in this paper is the sequential exploratory design. First, the conceptual model is developed in the qualitative part of this research by using meta-synthesis and constant comparative method (CCM) of analysis. Second, in the quantitative part, quantitative tests are used to evaluate the dimensions and components of the developed theoretical model. The data collection tool is a questionnaire. The results confirm the proposed dimensions of the evaluation model.     

On the advantages of economically designed variable sample sizes and sampling intervals T2 control chart: double warning lines scheme

Faraz and Parsian (Stat Pap 47:569–593, 2006) have shown that the double warning lines (DWL) scheme detects process shifts more quickly than the other variable ratio sampling schemes such as variable sample sizes (VSS), variable sampling intervals (VSI) and variable sample sizes and sampling intervals (VSSVSI). In this paper, the DWL T² control chart for monitoring the process mean vector is economically designed. The cost model proposed by Costa and Rahim (J Appl Stat 28:875–885, 2001) is used here and is minimized through a genetic algorithm (GA) approach. Then the effects of the model parameters on the chart parameters and resulting operating loss is studied and finally a comparison between all possible variable ratio sampling (VRS) schemes are made to choose the best option economically.     

Understanding China's demand for resource imports

Is China's demand for resources driven predominantly by domestic factors or by global demand for its exports? The answer to this question is of interest given the highly resource-intensive nature of China's growth, and is important for many resource-exporting countries, such as Australia, Brazil, Canada and India. This paper provides evidence that China's (mainly manufacturing) exports have been a significant driver of its demand for resource commodities over recent decades. First, it employs input–output tables to demonstrate that, historically, manufacturing has been at least as important as construction as a driver of China's demand for resource-intensive metal products. Second, it shows that global trade in non-oil resource commodities can be described by the gravity model of trade. Using this model it is found that, controlling for other determinants of resource trade, exports (and the manufacturing sector more generally) are a sizeable and significant determinant of a country's resource imports, and that this has been true for China as well as for other countries.     

Analysis of Domestic Factors Affecting Outward Foreign Direct Investment in Brazil

Developing markets have increasingly gained prominence in the world economy, but the domestic factors behind this success are not well established. This uncertainty may interfere with multinational expansion plans. In this article, we examine several macroeconomic and institutional factors affecting Brazilian outward foreign direct investment in 17 destination countries. We applied a pooled ordinary least squares regression over the 2001–2014 period. The findings suggest that macroeconomic factors are still statistically significant to explain investment abroad, but several institutional factors such as corruption have emerged, having a negative effect and political violence having a positive effect on Brazilian outward foreign direct investment.     

How Chinese Agricultural Immigrants Affect Farmers in the Russian Far East

China’s international position as a net creditor nation provides it with foreign exchange that it has invested in Asian and African countries. One example is China's investment in the Russian Far East (RFE). Thousands of Chinese agricultural workers have migrated to the RFE in recent decades. They are often welcomed by Russian farmers who face a labor shortage and by local residents who can buy cheap vegetables from them, but there are others who resent their presence in the region as competitors. Our study is the first empirical study of this relationship. Our results demonstrate economic benefits to the Russian households. There are, however, some negative repercussions of Chinese farmers in the RFE, and the governments of both China and Russia need to manage the situation wisely.     

RETRACTED ARTICLE: Compliance as a Cost-Effective System of Interaction Between Business and Government

Journal of Business Ethics -     

Toward a model of governance and legality in transforming economies: Empirical evidence from China

This article develops and empirically examines a model of governance and legality of organizations in countries under significant system transformation. While previous research has focused on issues of governance structures, this study suggests that organizational legality is equally important. An analysis of survey data from 127 Chinese managers demonstrates that governance and legality are distinct dimensions. We suggest that an application of this empirically corroborated model to other transformational economies may reveal different configurations of the organizational field, mirror contrasting reform strategies, and indicate the possibility for alternative routes of organizational transformation. © 2005 Wiley Periodicals, Inc.     

Nonlinear Purchasing Power Parity under the Gold Standard

Hegwood and Papell (2002) conclude on the basis of analysis in a linear framework that long-run purchasing power parity (PPP) does not hold for 16 real exchange rate series, which were analyzed in Diebold. I lusted, and Rush (1991) for the period 1792-1913 under the Gold Standard. Rather, PPP deviations are mean-reverting to a changing equilibrium—a quasi PPP (QPPP) theory. We analyze the real exchange rate adjustment mechanism for their data set assuming a nonlinear adjustment process allowing for both a constant and a mean shifting equilibrium. Our results confirm that real exchange rates at that time were stationary, symmetric, nonlinear processes that revert to a nonconstant equilibrium rate. Speeds of adjustment were much quicker when breaks were allowed.