Individually rational rules for the division problem when the number of units to be allotted is endogenous

We study individually rational rules to be used to allot, among a group of agents, a perfectly divisible good that is freely available only in whole units. A rule is individually rational if, at each preference profile, each agent finds that her allotment is at least as good as any whole unit of the good. We study and characterize two individually rational and efficient families of rules, whenever agents' preferences are symmetric single-peaked on the set of possible allotments. Rules in the two families are in addition envy-free, but they differ on whether envy-freeness is considered on losses or on awards. Our main result states that (a) the family of constrained equal losses rules coincides with the class of all individually rational and efficient rules that satisfy justified envy-freeness on losses and (b) the family of constrained equal awards rules coincides with the class of all individually rational and efficient rules that satisfy envy-freeness on awards.     

Growth machines and social movements in mature tourist destinations Costa del Sol-Málaga

Abstract

The purpose of this study is to analyse the new processes of tourism growth and its conflicts from the perspective of social movements. First, the urban growth machine analysis model is applied by the systematisation of six projects. Second, the resistance movements against those projects and whether this resistance could be the start of local tourism degrowth policies are examined. The methodology is qualitative, based on documentary analysis, participatory observation, discussion groups and interviews. The case study is the destination of Costa del Sol-Málaga. The results enable the development of the urban growth machine model in tourist destinations. Meanwhile, social movements demystify the argument based on neoclassical economic progress. The social movements condemn the effects of large-scale top-down projects, and implement alternative bottom-up proposals. Although the social movements do not reject tourism, they call for greater control over its impact, denounce unlimited growth, overtourism and the loss of urban quality of life. These movements advocate a lifestyle linked to the everyday space, which they believe is threatened by excessive urban-tourism growth. They are a symptom of the need to devise a proposal using the principles of degrowth.     

Short-Run and Long-Run Effects of Copper Mining on Peru’s Recent Economic Growth

Peru is the second-largest producer and exporter of copper in the world. This paper proposes a novel approach to assess short-run and long-run effects of copper on Peru’s recent economic growth. Annual data over the 2014–2018 period were used to calculate a Mining Contribution Index (MCI). An institutional quality indicator of the World Competitiveness Index of the World Economic Forum measured the dependence of Peruvian economic growth on mining and the quality of its institutions, respectively. Then, monthly data during the period 2005–2018 were used to run vector autoregressive (VAR) and vector error correction (VEC) models to measure copper’s effects on the country’s economy over time. VAR-VEC models included copper production, exports, international price, investment, taxes paid by producing companies, and Peru’s gross domestic product (GDP). Stationarity and causality of variables were verified with the Augmented Dickey-Fuller and Granger tests, respectively. Due to the presence of non-stationary variables, a VEC model was implemented to forecast short- and long-run effects. The main results show that real GDP responds to copper output and other related explanatory variables differently, depending upon the instrument applied. Peruvian GDP has increased dependence on copper mining. The quality of its institutions could explain the presence of Dutch Disease or resource curse theory. Short- and long-run effects of copper output on GDP were generally statistically non-significant. GDP was statistically significant in relation to other mining variables, such as copper exports and the international price of copper.

     

Packs,Troops and Herds: Prosocial Cooperatives and Innovation in the New Normal

Prosocial organizations are emerging to tackle the effects of a New Normal. As they navigate its fragile and liquid institutional membranes, they prioritize cooperative forms of governance. These forms allow for collaboration and democratic decision-making necessary for the development of innovative solutions in this new context. At the same time, the high coordination costs of cooperatives lead to significant market pressures. Therefore, understanding when and under what conditions these new cooperatives innovate and strive is important as it provides insight into whether and how these ventures can become a viable alternative in this changing landscape. Using configurational analyses of organizational enablers leading to innovation in 40 entrepreneurial cooperatives, we identify three approaches: Attentive Pack, Eclectic Troop, and Wandering Herd, showing that innovative outcomes can indeed emerge under traditional cooperative features emphasizing collectivism. However, the pursuit of higher novelty requires a shift to more individualistic, business-as-usual, approaches. The New Normal does indeed enhance entrepreneurial activity, but of a different kind comprising novel sets of antecedents and outcomes, which we show can easily become the new dominant form of venturing required in this new context.     

A model to evaluate transient industry effects

In this paper we present a model to evaluate transient industry effects, that is, the impact of business cycles on the industry. While the importance of the economic cycle for industry and firm performance is widely recognized, we do not know much about how much the business cycle influences industry activity. The aim of this paper is to present a method that helps to understand the relationship between the business cycle and an industry's level of activity. Copyright © 2008 John Wiley & Sons, Ltd.     

Executive flight simulator as a learning tool in new companies’ resource planning based on the balanced scorecard

In many cases, a deficient strategic planning in new companies has led entrepreneurs to take inadequate initial decisions that, in the long term, reflect consequences in the failure of many new businesses. The objective of this article is to propose an executive flight simulator, which will help to identify and evaluate the different development strategies for resources of a new manufacturing company, under the four perspectives of the balanced scorecard, educating the user on the impact that these would have in the main performance indicators. The simulator is designed utilizing the focus of system dynamics to be used didactically in master's degree programs in administration, by entrepreneurs or in executive development programs.     

Inequality and Unemployment Patterns in Europe: Does Integration Lead to (Real) Convergence?

The economic convergence criteria adopted in the Maastricht Treaty and the fiscal discipline of the Stability and Growth Pact enforced nominal convergence, leaving aside real convergence indicators. In this paper, we use cluster analysis to examine the convergence patterns of income inequality, absolute redistribution (a measure of governments’ effectiveness in correcting for inequality) and unemployment. The expected outcome after years of economic integration was, ex-ante, convergence to a single cluster. Our results, however, uncover a variety of groups, implying that economic integration has not led to real economic convergence. Moreover, the existence of different patterns suggests: (i) that traditional classifications (Anglo-Saxon, Continental European, European Periphery, and Nordic models) remain broadly valid; (ii) that there is no unemployment-inequality trade-off to be exploited in terms of economic policy; and (iii) that the redistributive capacity of governments plays a pivotal role in coping with inequality without negative effects in terms of unemployment.     

Measuring Achievement and Shortfall Improvements in a Consistent Way

In measuring improvements over time of bounded variables, one can focus on achievements or shortfalls. However, rankings of alternative social states in terms of achievements and shortfalls do not necessarily mirror one another. We characterize axiomatically different families of achievement and shortfall improvement indices, and present the necessary and sufficient conditions under which they rank social states in a consistent way. Empirical illustrations using child mortality data from South Africa suggest that consistency between achievement and shortfall improvements in standards of living is not only a matter of theoretical import but is also a problem that can be encountered in practice to a large extent.     

Regime-switching purchasing power parity in Latin America: Monte Carlo unit root tests with dynamic conditional score

We suggest a Monte Carlo simulation-based unit root test of the purchasing power parity theory for Latin American countries. Under the null hypothesis, we use a Markov regime-switching (MS) model with unit root in the conditional location and MS volatility dynamics. Under the alternative hypothesis, the proposed test incorporates Markov regime-switching autoregressive moving average (MS-ARMA) plus MS volatility dynamics. Under both the null and alternative hypotheses, one of the volatility models estimated is Beta-t-EGARCH, which is a recent dynamic conditional score volatility model. We use data on real effective exchange rate time series for 14 Latin American countries. For each country, we estimate by Monte Carlo simulation the critical values of the unit root test. We provide an economic discussion of the unit root test results and also study the robustness of MS-ARMA plus MS volatility with respect to smooth transition autoregressive models with Fourier function.     

Identifying the Transition from Efficient-Market to Herding Behavior: Using a Method from Econophysics

We test whether “detrended fluctuation analysis” (DFA)—an econophysics method—identifies the transition from efficient-market trading to herding behavior and the rise of the NASDAQ dot.com stock market bubble. DFA divides a time series into “segments” of varying lengths and then tests whether power-law distributions exist within the segments. A power-law distribution of stock-price changes within a segment indicates herding behavior and the start of the dot.com bubble. The clarity of the transition indication depends on both segment lengths and segment starting dates. Our findings show that DFA can be used to identify the beginning of stock-market bubbles but not the beginning of crashes.