Sectoral and aggregate technology growth in Spain

In this paper we analyze technological change in the Spanish economy by constructing adjusted Solow residuals, where the adjustment attempts to correct for the bias associated with the potential presence of imperfect competition, increasing returns, variable input utilization and, especially, sectoral reallocation of inputs across sectors. We refer to this modified Solow residual as a technology index. Sectoral reallocations and variable input utilization are key determinants of the differences between the aggregate Solow residual and the technology index resulting from the aggregation of estimated sectoral technological growth. We show that starting in the mid nineties, there has been a deceleration in the aggregate growth rate of technology which is basically due to the behaviour of the manufacturing sectors. Finally, our results imply that aggregate technology growth is less volatile than aggregate productivity as measured by the Solow residual.     

Strategic Environmental Standards, Wage Incomes and the Location of Polluting Firms

The purpose of this paper is tostudy how the choice of environmental standardsby governments is affected by the existence ofwage incomes when firms locations areendogenous. In developed countries labor isunionized, which allows positive wage incomesto arise. Thus, each government has incentivesto persuade firms to locate in its countrysince social welfare depends on suchincomes. But, as pollution damages theenvironment, each government will only try toattract polluting firms to thecountry, to obtain the wage incomes, whenthe valuation of environmental damage showsthat it is low.     

Austrian Economics and Public Choice

The Review of Austrian Economics -     

Drivers of customer likelihood to join grocery retail loyalty programs. An analysis of reward programs and loyalty cards

This paper aims to identify which personal features of customers may determine their likelihood to join a grocery retail loyalty program. We consider five aspects: price sensitivity, search for variety, shopping enjoyment, attitude toward loyalty schemes, and one personality trait: privacy concerns. Some of these variables have already been explored in the literature. Where our research breaks new ground is in establishing the difference between profiles of customers attracted by two of the most common types of loyalty programs currently used by grocery retail firms: a reward program and a loyalty card. The two kinds of program evidence differences in how they are managed, and we posit that the drivers of likelihood to take part in each are different. The study was carried out using logistic regression with a sample of 600 clients of a Spanish supermarket chain. Findings show that one particular type of customer is more likely to take part in these schemes: those displaying little shopping enjoyment, who are greatly concerned with privacy, and who show a favorable attitude toward loyalty programs in general. Furthermore, as expected, differences were observed between drivers of participation likelihood in reward programs and loyalty cards.     

Environmental strategy and exports in medium,small and micro-enterprises

Growing corporate internationalization and the emergence of environmental concerns are two of the main trends in the business world. This paper analyzes whether strategies for environmental protection can help small and medium enterprises (SMEs) as they internationalize their activities through exports. Personal interviews were conducted with 123 general managers of exporting SMEs from the Spanish food industry. The results show a relationship between advanced environmental strategies and export intensity for the sampled firms. However, the size of firm plays a role in this relationship, as the relationship between advanced environmental strategies and exports is stronger with an increase in the size of the SMEs. Authors discuss implications of these results for practitioners and future research.     

Multi-agent modeling of economic innovation dynamics and its implications for analyzing emission impacts

In this elaboration we focus on the role of multi-agent systems as a tool for modeling economic dynamics. Hence, at the beginning the specific features of this tool are considered. Taking the example of explaining the relationship between innovations and economic growth it will be shown after that how the tool of multi-agent modeling can be used for the following purposes: (1) for explaining the occurrence of innovations, (2) for specifying the effects these innovations have on economic growth, (3) for linking emission impacts to this growth and finally (4) for exemplarily assessing political options to reduce these impacts.     

Economic growth and budgetary components: a panel assessment for the EU

In this article, we test to determine whether a reallocation of government budgetary components can enhance long-term GDP growth in a set of 15 EU countries. We apply panel data techniques to the period 1971–2006, and use three alternative dependent variables in a growth regression: economic growth, total factor productivity and labour productivity. Our results also identify the distortions induced by public expenditure in the private factors allocation. In particular, we detect a strong crowding-in effect associated to public investment, which has enhanced economic growth by boosting private investment. We also associate a dependence of productivity on public expenditure on social security.     

Trade‐led growth hypothesis in Cuban commercial regimes since 19601,2

This study examines the impact of trade on Cuban growth during different commercial policy regimes spanning the period from 1960 up to 2004, encompassing two essential economic structural transformations: the Cuban revolution and the fall of the Berlin Wall. For this purpose, the Granger causality is used by means of the modified Wald test for augmented‐level vector autoregressive model with integrated and cointegrated processes introduced by Toda and Yamamoto (1995) and Dolado and Lutekepohl (1996) . We show an import‐led growth hypothesis during the Soviet‐oriented pattern that is rejected after 1990, when exports are not only responsive to growth expansion but also to imports’ behaviour.     

Assessing Systemic Importance With a Fuzzy Logic Inference System

Three metrics are designed to assess Colombian financial institutions' size, connectedness and non-substitutability as the main drivers of systemic importance: (i) centrality as net borrower in the money market network; (ii) centrality as payments originator in the large-value payment system network; and (iii) asset value of core financial services. An aggregated systemic importance index is calculated based on expert knowledge by using a fuzzy logic inference system. We use principal component analysis to calculate a benchmark index for comparison purposes. Overall similarities between both indexes put forward that expert knowledge aggregation is consistent with that based on a purely quantitative standard approach. Specific non-negligible differences concur with the nonlinear features of an approach whose intention is to replicate human reasoning. Both indexes are complementary and provide a comprehensive relative assessment of each financial institution's systemic importance in the Colombian case, in which the choice of metrics pursues the macroprudential perspective of financial stability. Copyright © 2015 John Wiley & Sons, Ltd.     

Too-Big-To-Fail: Why Megabanks Have Not Become Smaller Since the Global Financial Crisis?

ABSTRACT

More than ten years after the global financial crisis, what has happened to the ‘too-big-to-fail’ (TBTF) banks whose reckless behavior was among its preconditions, but which received public support and guarantees in the midst of that crisis? Insofar as this too-big-to-fail status helped create the crisis and then imposed costs on the rest of society, we would expect these banks to have shrunk. We investigate the evolution of 31 global-TBTF banks and find that their overall size has hardly recorded any substantial change. However, there is no sense of urgency in the flourishing post-crisis literature on TBTF banks about the need to contain their size; the prevalent view therein is that if properly regulated, the risks that arise from a financial system dominated by TBTF banks are manageable. This view rests on the same overly narrow theoretical underpinnings whose flaws were exposed in the crisis. We argue that too-big-to-fail banking is embedded in a set of self-reinforcing policies—consolidation, balance-sheet support through quantitative easing, favorable regulations, bank lobbying, and geo-economic and geo-political considerations—which explain why these banks have not shrunk and why they remain a threat to financial stability, well after the lessons of the crisis should have been learned.