Lessons for Development from the Japanese Experience

Economic class, defined in relation to its actual control over the economy’s productive assets, is the most useful lens for examining power distribution in the post-Soviet transition and clarifying the neoliberal nature of its social provisioning processes. Using Ukraine as an illustration, I argue that only ownership empowerment of economically powerless classes can democratize the oligarchic transition economies. As an exit strategy from oligarchic capitalism, I recommend that state capitalism be implemented, as a transitory condition only, to divest oligarchs of unlawfully acquired economic power. Then, progressive restructuring of oligarchic companies must be conducted through broadening property ownership to include shared ownership and worker participation in economic decisions. I conclude that only by nurturing the democratic fundamentals of the economy and promoting a social democratic welfare state could a government in post-Euromaidan Ukraine initiate its own social control and create a genuine political and economic democracy.     

Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis

This paper applies data envelopment analysis (DEA) to assess technical efficiency in a big public university. Particular attention has been paid to two main activities, teaching and research, and on two large groups, the Science and Technology (ST) sector and the Humanity and Social Science (HSS) sector. The findings, based to data from 2005 to 2009, suggest that the ST sector is more efficient in terms of quality of research than the HSS sector, that instead achieves higher efficiency in teaching activities. The efficiency estimates strongly depend on the output specification, given that the use of several quality proxies, such as three research and two student questionnaire-based teaching alternative indices, reduce performance and its differentials for both research and teaching activities. A bootstrap technique is also used to provide confidence intervals for efficiency scores and to obtain bias-corrected estimates. The Malmquist index is calculated to measure changes in productivity.     

Wage formation during economic transformation: macroeconomic facts and firm survey evidence from Slovenia

This article provides macroeconomic stylised facts on wage comparisons and microeconomic evidence on how institutional changes, competitive pressures in firms' output markets, human capital and efficiency wage payment affect wage formation during the early stages of transformation. Wages in Slovenia are higher than in other transition Central and Eastern European countries and higher than labour productivity. We use a firm survey panel dataset of Slovenian enterprises to investigate labour cost adjustment and its policy relevance. The results reveal that transformation was not a uniform process as it has induced different labour cost adjustments and wage responses to transformation shocks over time. The hypothesis that labour productivity and competitive pressures in firms' output markets were important for wage formation was not supported. We confirm that rent seeking increased wages in insider, management and employee-owned enterprises in anticipation of privatisation. The effect of human capital was modest and efficiency wage payment was found not to be significant. The hypothesis of unionisation in Slovenian enterprises was not supported.     

Stock market volatility forecasting: Do we need high-frequency data?

The general consensus in the volatility forecasting literature is that high-frequency volatility models outperform low-frequency volatility models. However, such a conclusion is reached when low-frequency volatility models are estimated from daily returns. Instead, we study this question considering daily, low-frequency volatility estimators based on open, high, low, and close daily prices. Our data sample consists of 18 stock market indices. We find that high-frequency volatility models tend to outperform low-frequency volatility models only for short-term forecasts. As the forecast horizon increases (up to one month), the difference in forecast accuracy becomes statistically indistinguishable for most market indices. To evaluate the practical implications of our results, we study a simple asset allocation problem. The results reveal that asset allocation based on high-frequency volatility model forecasts does not outperform asset allocation based on low-frequency volatility model forecasts.     

The role of human capital in identifying the drivers of product and process innovation: empirical investigation from Italy

Quality & Quantity - Economists recognize that the local availability of higher human capital represents significant knowledge spillovers, especially for innovation process. This research...     

Location choices under strategic interactions

We explore a fundamental aspect of firms' location choices largely overlooked in the literature: strategic interaction. We formalize the notion that strategic interaction renders collocation less appealing by fostering competition, which erodes firms' profits. Strategic interaction also impacts location choices across time. Specifically, because firms learn by doing in markets, location choices are shaped by two novel effects: entrenchment benefits from entering early in a market and improving capabilities relative to rivals, and opportunity costs from postponing entry to other markets where rivals enter and learn. When learning is local, firms collocate more: rivals are preempted from improving relative capabilities in higher‐value markets. However, when learning is global, firms collocate less: they can transfer capabilities from lower‐value to higher‐value markets, blocking rivals from achieving entrenchment benefits. Copyright © 2013 John Wiley & Sons, Ltd.     

Back to the future. Is industry 4.0 a new tecno-organizational paradigm? Implications for Latin American countries

ABSTRACT

The objective of this article is to establish a dialogue between the recent ‘Industry 4.0’ (I4.0) literature and evolutionary neo-Schumpeterean studies about techno-organizational paradigms. In that direction, we wonder whether I4.0 constitutes a new paradigm, as it is assumed by the first group of literature, or it represents – until the moment – an intensification of key features of the information and communication technology (ICT) paradigm, following the second group of studies. Some questions are raised about the implications of I4.0 for developing countries (DEC), afterwards. Specifically, we reflect on the possibilities of these countries to identify and take advantage of new windows of opportunity, opened by the development and diffusion of these technologies. In this regard, the review of recent Latin American experience raises strong concerns regarding I4.0 as a new source of intra- and international heterogeneity, linked to the severe difficulties these countries have in appropriating these technologies in the form of productivity gains and quasi-rents. It seems that this is partially derived from weak technological, organizational, and connectivity capabilities paths of accumulation between institutions and actors.     

CUSTOMER SERVICE IN THE INTERNET‐ENABLED LOGISTICS SUPPLY CHAIN: WEBSITE DESIGN ANTECEDENTS AND LOYALTY EFFECTS

This article extends the existing research on logistics customer service‐loyalty relationships to the online logistics supply chain environment by examining potential website determinants of logistics customer service quality. A structural equation analysis of 373 online shopping transactions suggests that perceived quality of all logistics customer service activities (perceived cycle time, in‐stock availability, and customer responsiveness) varies inversely with: (1) perceived ease of use, and (2) content vividness of the website; and positively with product information content. However, only retailer customer responsiveness assessment was found to have any significant influence on consumer intended loyalty behavior in Internet‐enabled supplies chains.     

Spillover Dynamics of Central Bank Interventions

Abstract. Central banks frequently intervene in foreign exchange markets to reduce volatility or to correct misalignments. Such operations may be successful if they drive away destabilizing speculators. However, the speculators do not simply vanish but may reappear on other foreign exchange markets. Using a model in which traders are able to switch between foreign exchange markets, we demonstrate that while a central bank indeed has several means at hand to stabilize a specific market, the variability of the other markets depends on how the interventions are implemented.