Socratic Ignorance and Business Ethics

Journal of Business Ethics - Socrates’ inquiry into the nature of the virtues and human excellence led him to experience Socratic ignorance, a practical puzzlement experienced by his...     

Local tax interaction and endogenous spatial weights based on quality of life

This paper studied the role of municipal quality of life as a driver of strategic tax interactions among local governments. A number of studies point out the existence of strategic interactions using spatial econometric models in which the spatial weights are mostly based on non-economic criteria or basic economic variables such as per capita gross domestic product (GDP). We propose the more sophisticated well-being indicator of municipal quality of life as the driver for these interactions. To deal with the potential endogeneity, we rely on instrumental variable estimators. The empirical analysis focuses on the main local tax in Spain (property) and on municipalities with more than 50,000 inhabitants, and it confirms the relevance of differentials in quality of life for the understanding of tax choices.     

Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations

Bio-economic modelling has become a useful tool for anticipating the outcomes of policies and technologies before their implementation. Advances in mathematical programming have made it possible to build more comprehensive models. In an overview of recent studies about bio-economic models applied to land-use problems in agriculture and forestry, we evaluated how aspects such as uncertainty, multiple objective functions, system dynamics and time have been incorporated into models. We found that single objective models were more frequently applied at the farm level, while multiple objective modelling has been applied to meet concerns at the landscape level. Among the objectives, social aspects are seldom represented in all models, when being compared to economic and environmental aspects. The integration of uncertainty is occasionally a topic, while stochastic approaches are more frequently applied than non-stochastic robust methods. Most multiple-objective models do not integrate uncertainty or sequential decision making. Static approaches continue to be more recurrent than truly dynamic models. Even though integrating multiple aspects may enhance our understanding of a system; it involves a tradeoff between complexity and robustness of the results obtained. Land-use models have to address this balance between complexity and robustness in order to evolve towards robust multiple-objective spatial optimization as a prerequisite to achieve sustainability goals.     

Sin sectors and negative screening

In this research, I analyse how exposure to sin sectors impacts the financial performance of socially responsible (SR) funds. I also analyse the question of whether or not these funds keep their word and are less exposed to the controversial sectors that they claim to exclude in their prospectuses. Additionally, I analyse how local political and religious factors exert an influence on the exposure of SR funds to sin sectors. Consequently, I analyse a sample comprising 136 SR mutual funds that were domiciled in the U.S. market in the period March 2017–April 2020 and who invest in domestic and global equity, of which 92 implement negative screens on at least 1 of 12 controversial activities. My results show that for seven (three) of the controversial sectors that were analysed, the exposure of SR funds to these sectors jeopardises (improves) their financial performance. Furthermore, SR mutual funds who perform negative screens tend to live up to their name and are less exposed to the sector/s that they claim to exclude. In addition, SR mutual funds managed by companies located in Democrat-leaning states are less exposed to sin sectors, and that the effect of local religiosity depends on the specific sector analysed.     

Behaviour‐Based and Outcome‐Based Control Systems: A Meta‐Analytic Study

Sales control systems are instruments used by firms to improve performance and other organizational outcomes. To understand their antecedents and consequences, this paper conducts a meta‐analysis based on 104 studies. The results showed significant relationships between behaviour‐ and outcome‐based control systems and the complexity of the products, bonuses, financial performance, sales innovation, organizational support and satisfaction with supervisors. The outcomes revealed that behaviour‐based control systems were the most effective mechanism in turbulent markets and for determining financial performance. However, outcome‐based control systems were the most efficient instrument for complex products.     

Will elders provide for their grandchildren? Unconditional cash transfers and educational expenditures in Bolivia

We take advantage of repeated cross‐sectional household surveys and a sharp discontinuity created by the introduction of an unconditional cash transfer to elders in Bolivia, to evaluate its impact on educational expenditures on children within a household. We find positive and significant impacts of the program at the aggregate level. We also find that the program has stronger effects on indigenous populations as well as on female and rural populations. Our results are robust to a series of falsification tests, survey structure, model specification, and estimation methods.     

On the relationship between sectorial and institutional structural changes

Successful development processes involve not only ‘sectorial structural change’, shifts of factors between different productive sectors, but also, ‘institutional structural change’, shifts of factors from unproductive activities (predation) to productive ones. This paper analyzes the feedback process between the sectorial and the institutional structural changes in a model in which the labor share in agriculture is lower than in other sectors. Along the transition sectorial structural change emerges: employment in agriculture declines. Consequently, total labor share increases, raising the reward for working (while discouraging predation) and so, fostering institutional structural change. This, in turn, encourages capital accumulation, promoting sectorial structural change. This feedback mechanism widens differences in productivity and institutions among countries. Whereas zero-cost policies aimed to build institutions have positive effects, costly policies have uncertain effects due to complex feedback mechanisms.     

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.

     

Performance Measures in Dose-Finding Experiments

In the first phase of pharmaceutical development, and assuming that the probability of positive response increases with dose, the main statistical goal is to estimate a percentile of the dose–response function for a given target value $\mathrm{\Gamma }$. We compare the Maximum Likelihood and centred isotonic regression estimators of the target dose and we discuss several performance criteria to assess inferential precision, the amount of toxicity exposure and the trade-off between them for a set of some exemplary adaptive designs. We compare these designs using graphical tools. Several scenarios are considered using simulation, including the use of several start-up rules, the change of slope of the dose-toxicity function at the target dose and also different theoretical models, as logistic, normal or skew-normal distribution functions.     

Using reputation for corporate sustainability to tackle banks digitalization challenges

The new landscape in the financial sector, characterized by fierce competition and the entrance of new technological players, has forced banks to speed up their digital transformation. However, for banks, digitalization entails challenges that can hinder the potential benefits and compromise their survival. In this context, we argue that the reputation generated by corporate sustainability (RCS) may offset these digitalization drawbacks. In particular, we find that the combination of RCS and digitalization facilitates in transforming the organizational nature of banks by simultaneously narrowing their boundaries and expanding their scope. We empirically confirm our hypotheses by analyzing a panel of 110 multinational banks from developed countries.