A Blessing and a Curse: Institutional Embeddedness of Longstanding MNE Subsidiaries in Emerging Markets

This article examines the institutional strategies of multinational enterprises (MNEs) operating in an emerging market, drawing attention to how longstanding foreign subsidiaries proactively negotiate their involvement with socio-political actors. We build on institutional logics to explain how MNE subsidiaries develop sustained political, cultural, and cognitive embeddedness. Using an inductive, interpretive study of four century-old Dutch MNE subsidiaries with a colonial legacy in Indonesia, we examine these three dimensions of the institutional environment, finding that local employees embedded in both the MNE and the host country sets of logics ‒ rather than expatriate managers ‒ most effectively facilitated sustained institutional embeddedness. Our findings also suggest that embedding practices in host institutional contexts and developing structures that align with host institutional expectations provided a platform for the unfolding of institutional strategies by local employees. However, MNE subsidiaries face contrasting logics between home and host country institutions, placing significant strains on MNEs’ ability to enact change.     

Psychological Oil Price Barrier and Firm Returns

In this paper, we investigate the psychological barrier effect induced by the oil price on firm returns when the oil price reaches US$100 or more per barrel. We find evidence of the negative effect of the US$100 oil price barrier for: (a) the entire sample of 1559 firms listed on the American stock exchanges; (b) both foreign and domestic firms, with domestic firms significantly more affected; (c) the 10 different sizes of firms, with the smaller firms less affected compared to the larger firms; and (d) 17 sectors of firms, with firms in the utilities, mining, and administration sectors being the least affected.     

A panel data approach to the demand for money and the effects of financial reforms in the Asian countries

Alternative panel data estimation methods are used to estimate the cointegrating equations for the demand for money (M1) for a panel of 14 Asian countries from 1970 to 2005. The effects of financial reforms are analyzed with estimates for two sets of sub-samples and two break dates. Our results show that money demand function has been stable and financial reforms are yet to have any significant effects. Since there is no evidence for instability in the demand for money, the central banks of these countries should use money supply, instead of the rate of interest, as the monetary policy instrument.     

Purchasing Power Parity and aggregation bias for a developing country: The case of Mexico

This paper investigates long-run Purchasing Power Parity (PPP) between the US and Mexico. We use a panel of disaggregated price data between the US and Mexico with a long time series to look at two types of aggregation bias. The first is examined in Imbs et al. — which we refer to as estimator aggregation bias — and the second is put forth by Broda and Weinstein — hereafter, data aggregation bias. The findings indicate substantial estimator aggregation bias and data aggregation bias. Although estimates using aggregate data and imposing homogeneous coefficients provide little evidence of PPP, findings with disaggregated data and heterogeneous coefficient estimators offer strong support. The results also suggest the presence of small-sample bias as examined in Chen and Engel, but with little effect on the qualitative results. Tradable goods and non-tradable goods show little distinction in convergence rates. Estimated half-lives are lower under flexible than fixed exchange rates and indicate rapid convergence during the Mexican peso crisis.     

An intelligent and secure system for predicting and preventing Zika virus outbreak using Fog computing

Zika virus is a mosquito-borne disease that spreads very quickly in different parts of the world. In this article, we proposed a system to prevent and control the spread of Zika virus disease using integration of Fog computing, cloud computing, mobile phones and the Internet of things (IoT)-based sensor devices. Fog computing is used as an intermediary layer between the cloud and end users to reduce the latency time and extra communication cost that is usually found high in cloud-based systems. A fuzzy k-nearest neighbour is used to diagnose the possibly infected users, and Google map web service is used to provide the geographic positioning system (GPS)-based risk assessment to prevent the outbreak. It is used to represent each Zika virus (ZikaV)-infected user, mosquito-dense sites and breeding sites on the Google map that help the government healthcare authorities to control such risk-prone areas effectively and efficiently. The proposed system is deployed on Amazon EC2 cloud to evaluate its performance and accuracy using data set for 2 million users. Our system provides high accuracy of 94.5% for initial diagnosis of different users according to their symptoms and appropriate GPS-based risk assessment.     

A unified approach to bivariate discrete distributions

Here we introduce a bivariate generalized hypergeometric factorial moment distribution (BGHFMD) through its probability generating function (p.g.f.) whose marginal distributions are the generalized hypergeometric factorial moment distributions introduced by Kemp and Kemp (Bull Int Stat Inst 43:336–338,1969). Well-known bivariate versions of distributions such as binomial, negative binomial and Poisson are special cases of this distribution. A genesis of the distribution and explicit closed form expressions for the probability mass function of the BGHFMD, its factorial moments and the p.g.f.’s of its conditional distributions are derived here. Certain recurrence relations for probabilities, moments and factorial moments of the bivariate distribution are also established.     

Investigating business cycle asymmetry for the G7 countries: Evidence from over a century of data

In this paper we test for asymmetric behaviour of business cycles for the G7 countries, using the entropy-based test for asymmetry suggested by Racine and Maasoumi [Racine, J.S., & Maasoumi, E. (in press-a). A versatile and robust metric entropy test of time-reversibility, and other hypotheses, Journal of Econometrics; Racine, J.S., & Maasoumi, E. (in press-b). A robust entropy based test for asymmetry. Econometric Reviews.]. We find overwhelming evidence of symmetry. In only 14% of the cases, we find some evidence of asymmetric behaviour of GDP and per capita GDP. More importantly, the period marked by the flexible exchange rate regime, over which much of the empirical work for the G7 countries has been conducted, evidence suggests that the two GDP series are symmetric.     

Is Asian per capita GDP panel stationary?

The goal of this paper is to examine whether per capita GDP for 15 Asian countries is panel stationary. We apply a panel test for stationarity that allows for multiple structural breaks developed by Carrion-i-Silvestre et al. (Econ J 8: 159–179, 2005). Our main findings are: (1) when we apply conventional tests, such as the ADF and KPSS univariate tests without structural breaks, we find little evidence for stationarity; (2) when we apply the KPSS univariate test with multiple structural breaks, we find evidence of stationarity for 10 out of 15 countries; and (3) when we apply the KPSS panel test with multiple structural breaks, we find overwhelming evidence of panel stationarity of per capita real GDP for different panels of Asian countries.      

Real wages,inflation and labour productivity in Australia

This article presents an analysis of real wages, inflation and labour productivity interrelationships using cointegration, Granger causality and, most importantly, structural change tests. Applications of tests to Australian data over the 1965 to 2007 period corroborate the presence of a structural break in 1985 and show that a 1% increase in manufacturing sector real wages led to an increase in manufacturing sector productivity of between 0.5% and 0.8%. Comparable estimates for the effect of inflation on manufacturing sector productivity have limited statistical significance. Granger causality test results suggest that real wages and inflation both Granger cause productivity in the long run.     

Trend and cyclical decoupling: new estimates based on spectral causality tests and wavelet correlations

The issue of decoupling of emerging market economies (EMEs) (especially in the Asian region) from the developments in advanced economies has become a subject of lively debate in recent years. Basically, decoupling seems to comprise three sub-hypotheses: (i) growth spillovers from advanced countries to EMEs decreasing progressively in importance, (ii) business cycles in EMEs becoming less synchronized with those of the advanced world and (iii) strengthening of growth spillovers and cyclical synchronization among the EMEs as a group. The received literature fails to distinguish adequately between the trend and cyclical aspects of the decoupling relationship. We resort to two frequency domain methods (nonstationary spectral causality testing and wavelet correlations), which seem to offer a neat separation of trend and cyclical decoupling. Based on a sample of seven EMEs from the Asian region (including the two large EMEs – China and India), we uncover strong evidence favouring both trend and cyclical decoupling.