This article examines the effect of commercial bank performance on an indicator of energy efficiency (i.e. energy intensity) while controlling for the mediating effect of political institution. To achieve this goal, the study develops a theoretical model based on the neoclassical theory of the firm that links energy efficiency to bank sector development, and a unique bank-based data by Andrianova et al. (2015) for 43 Sub-Saharan African countries from 1998 to 2012.

Agricultural price distortion which is the discrepancy between world market price of agricultural produce and price received by farmers as a result of market interventions by governments, either through subsidies or taxes or even trade protection systems, has received rare attention in the cocoa and coffee sub-sectors. This study examines the contribution of mobile phone technology in reducing price distortions in cocoa and coffee production.

Analysis of the unconditional impacts of foreign direct inflows (FDIs) and industrialization on energy intensity does not show the hidden roles of some economic conditions such as income and trade openness. In this study, we focused on the conditional impacts of FDIs and industrialization on energy productivity using a panel data consisting of thirteen (13) East African countries covering 1980–2011. The baseline result shows that higher income and a well-integrated economy are pro-energy productive, but FDIs and intense industrialization are anti-energy productive in the sub-region.

This paper investigated the short-run causal relationships and the long-run equilibrium relationships among carbon dioxide emissions, economic growth, technical efficiency, and industrial structure for three African countries. Using Bounds cointegration approach the result showed evidence of multiple long-run equilibrium relationships for Ghana and Senegal but a one-way long-run equilibrium relationship for Morocco. The result from the Toda and Yomamoto granger causality test showed a mix of bidirectional, unidirectional, and neutral relationships for all countries.

Forecasting the risk of extreme losses is an important issue in the management of financial risk and has attracted a great deal of research attention. However, little attention has been paid to extreme losses in a higher frequency intraday setting. This paper proposes a novel marked point process model to capture extreme risk in intraday returns, taking into account a range of trading activity and liquidity measures. A novel approach is proposed for defining the threshold upon which extreme events are identified taking into account the diurnal patterns in intraday trading activity.

We propose a multivariate dynamic intensity peaks‐over‐threshold model to capture extremes in multivariate return processes. The random occurrence of extremes is modeled by a multivariate dynamic intensity model, while temporal clustering of their size is captured by an autoregressive multiplicative error model. Applying the model to daily returns of three major stock indexes yields strong empirical support for a temporal clustering of both the occurrence and the size of extremes.

In this paper, we try to understand pesticide input decisions among Vietnamese rice producers by examining the production risk effects of pesticide use, applying both a lottery game and a more traditional production function approach. Production function estimates show that excessive pesticide use makes production riskier. This result is supported by the lottery approach, which signals that more risk averse farmers use less pesticide, implying that pesticide is a risk-increasing input.

Share contracts are the dominant remuneration system in artisanal fisheries. Introducing regulations based on collective use rights may affect the way profits are distributed. The literature on the effect of regulatory reform on factor income distribution, however, is scarce. In this paper, we look at differences in the implementation of the Extractive Artisanal Regime in Chilean hake artisanal fisheries to test its effect on share contracts. We estimated a switching regression model using census data to calculate the average treatment effect.

Evidence from south-central Chile shows that the concentration limits for PM10 and PM2.5, defined by both the World Health Organization and national standards, are systematically exceeded, affecting approximately 10 million people. Among the sources of this pollution, firewood use accounts for the largest share. This study assesses whether consumers value environmental, social, and legal attributes associated with the firewood certification programs. We used a discrete choice model based on a sample of 500 households.

Societies have adapted to climate and environmental variability throughout history. However, projected climate change poses multiple risks to mariculture because of the increased frequency of environmental threats that lie outside the realm of present day experience. Adaptive capacity evaluated in this study is a characteristic that would reflect mariculture industries ability to anticipate and respond to these changes, and to minimize, cope with, and recover from the consequences and take advantage of new opportunities arising from change.