How to build a strategic network: A practitioner-oriented process model for the ICT sector

One critical success factor for the future will be the ability to build and develop strategic networks. This ability is especially vital in the dynamic information and communication technology (ICT) sector, where the development of competitive offerings often requires a coalition of platform and service providers. However, the academic literature has yet to propose a systematic managerial tool for the strategic network building process. Our distinctive contribution is the development of a practitioner-oriented process model for building a strategic network, which is linked to the resource-based view and the value creation system approach. Moreover, we suggest that instead of being a sequential stage-wise process, the construction of a strategic network can be divided into parallel, although not necessarily simultaneous, sub-processes based on the required value activities in the entire business concept. The resulting network-building model is used to provide managerial suggestions for the efficient construction of strategic business networks.     

Managing reverse logistics to enhance sustainability of industrial marketing

In this paper, a sustainable industrial marketing framework of latest requirement of green and sustainable operation is proposed. When literatures in strategy, marketing and operation have provided insight about the efficiency of reverse logistics and business value for the customer, the interrelationship is still under explored. This raises the question whether manufacturers could determine ecological friendly strategies to address their customer's environmental conscious needs and design the suitable solution to strike the balance between ecology and economics. Based on the case study of a medical product manufacturer, this study addresses this question by investigating how manufacturers identify the problem of reverse logistics; design and develop of sustainable product and service by enhancing the efficiency of operations, and market competencies that add value to their customers' business processes. Within the strategy for designing for effective reverse logistics, these findings contribute to understand the use of information system and technology for reverse logistics to enhance the customer's business process and provide value-added process for customer retention.     

National levels of corruption and foreign direct investment

We model the relationship between bilateral foreign direct investment (FDI) and the level of corruption in multinational firms’ (MCNs’) home and host countries. We construct and test a model of bilateral FDI between countries that differ in their levels of corruption. FDI is affected negatively both by the level of corruption in the host country and by differences in home- and host-country corruption. Our model emphasizes that MNCs develop skills for dealing with home-country corruption, and these skills become a competitive advantage in similarly corrupt host countries. We test the model using data on bilateral FDI stocks among a large number of home and host countries, using a variety of specifications and estimation strategies to provide robustness. Our results show that the effects of host-country corruption and of differences in corruption levels between home and host countries are statistically and economically significant.     

Provision of a pure local public good in a spatial model with many jurisdictions

This paper examines the provision of a pure local public good in jurisdictions that are spaced evenly along an infinite line. Each jurisdiction either supplies the local public good, or else its residents travel to another jurisdiction to consume the local public good. The equilibrium spacing between jurisdictions which supply the local public good, which can be uneven (varying between a minimum spacing and a maximum spacing for given exogenous parameters), can be greater than, equal to, or less than the socially optimal spacing.     

Investment and the soft budget constraint in China

This paper examines the incentive effects of the soft budget constraint on the investment behavior of firms in general and on the investment-cash flow sensitivity in particular. To this end, we develop a simple model of moral hazard that takes the soft budget constraint into account. Within this moral hazard environment, we show that investment is positively related to the amount of internal funds. We further show that the presence of the soft budget constraint deteriorates the moral hazard problem, thereby making the investment level less sensitive to the amount of internal funds. This is the case irrespective of whether the soft budget constraint renders the firm more or less liquidity constrained. To test the model's empirical implications, we employ data of China's listed companies for the period from 1997 to 2003. We use the share of state ownership as a proxy for the severity of the soft budget constraint. We find strong evidence that firms with larger shares of state ownership exhibit lower investment-cash flow sensitivities than firms with smaller shares of state ownership.     

The profitability of momentum trading strategies: Empirical evidence from Hong Kong

This paper investigates whether momentum trading strategies are profitable in the Hong Kong stock market, and examines the sources of such profitability. Momentum portfolios are significantly profitable in the intermediate term in Hong Kong, but the profits become insignificant after risk adjustment by the Chordia and Shivakumar (2001) model. The stock-specific return strategy and factor-related return strategy are analyzed to examine which portion of the total return causes stocks to enter extreme portfolios. The Chordia and Shivakumar factor-related return strategy obtains profits with a magnitude that is close to that which is attained by the total return momentum strategy. Additional evidence further supports the view that the Chordia and Shivakumar model captures momentum profits.     

Finite state Markov-chain approximations to highly persistent processes

The Rouwenhorst method of approximating stationary AR(1) processes has been overlooked by much of the literature despite having many desirable properties unmatched by other methods. In particular, we prove that it can match the conditional and unconditional mean and variance, and the first-order autocorrelation of any stationary AR(1) process. These properties make the Rouwenhorst method more reliable than others in approximating highly persistent processes and generating accurate model solutions. To illustrate this, we compare the performances of the Rouwenhorst method and four others in solving the stochastic growth model and an income fluctuation problem. We find that (i) the choice of approximation method can have a large impact on the computed model solutions, and (ii) the Rouwenhorst method is more robust than others with respect to variation in the persistence of the process, the number of points used in the discrete approximation and the procedure used to generate model statistics.     

Estimating an Import Demand Function in Developing Countries: A Structural Econometric Approach with Applications to India and Sri Lanka

Owing to the unavailability of time‐series data on the domestic market‐clearing price of imports, the estimation of notional price and income elasticities of aggregate import demand remains a daunting task for a large number of developing countries. This paper develops a structural econometric model of a two‐goods representative agent economy that incorporates a binding foreign exchange constraint at the administered prices of imports. A theoretically consistent parameterization of the “virtual relative price” of imports circumvents the data problem, and thus enables the estimation of income and price responses by cointegration approach. The price and income elasticity estimates for India and Sri Lanka, in contrast to the extant literature, have correct signs, high statistical significance, and plausible magnitudes.     

Takeoffs

This paper identifies factors associated with takeoff—a sustained period of high growth following a period of stagnation. Countries that experience takeoffs average 2.3% annual growth following their stagnation episodes, while those that do not average 0%. Using probit, we find that de jure trade openness is positively and significantly associated with takeoffs. A one‐standard‐deviation increase in de jure trade openness is associated with a 55% increase in the probability of a takeoff in our default specification. Capital account openness encourages takeoff responses, but measures of de facto trade openness are found to be poor predictors of takeoffs. We also examine the determinants of nations achieving “sustained” takeoffs; i.e. those lasting eight years or longer. Takeoffs in countries with more commodity‐intensive output bundles are less likely to be sustained, suggesting that adverse terms‐of‐trade shocks may play a role in ending long‐term high growth episodes.     

THE TIME‐SERIES PROPERTIES OF UK INFLATION: EVIDENCE FROM AGGREGATE AND DISAGGREGATE DATA

This paper contrasts the time‐series properties of aggregate and disaggregate UK inflation. While aggregate inflation is found to be non‐stationary, unit root rejection frequencies are increasing when we use more disaggregate data. Structural break analysis suggests that structural shifts in monetary policy could alter inflation persistence. Additionally, panel evidence indicates that the unit root hypothesis can be rejected for sectoral inflation rates. Finally, we compare the persistence properties of UK inflation, finding statistically significant differences between aggregate and disaggregate series. Our analysis suggests that aggregation matters, which has important implications for econometric analysis and the conduct of monetary policy.