This paper studies the role of middlemen in open-access fisheries and how the organization of the supply chains affects resource exploitation and the level and distribution of economic rent. Imperfect competition among middlemen can help ensure that fish stocks are not depleted, which is typically the case in open-access fisheries with competitive markets. Middlemen with market power can also induce higher economic rent for the supply chain in total, but these rents mainly benefit the middlemen. The supply chains of inshore anchovy and offshore skipjack tuna fisheries in Vietnam are used as empirical examples. The analysis shows that in the anchovy supply chain, the middlemen have insignificant market power and the stock is being overexploited. In the skipjack tuna supply chain, the middlemen have oligopsony power and the stock is higher than the level that produces maximum sustainable yield.

This article provides an economic investigation into the underlying causes of industrial wastewater emissions. We examine the direct and the structural break-induced effect of national environmental regulation on industrial wastewater emissions. The results show that strict environmental regulation can partially offset the energy-induced effects imposed by the scale effects of foreign direct inflows and cause positive behavioral responses by either limiting coal usage or improving upon coal usage technology and shift towards clean energy sources. We find the absence of scale economies in the provision of environmental services in the industrial sector due to the poor nature of the technical processes of industries. We further highlight the importance of raising the investment in environmental treatment and embracing trade liberalization in the improvement of industrial wastewater management.

We analyze the impact of earthquakes on nighttime lights at a sub-national level, i.e., on grids of different size. We argue that existing studies on the impact of natural disasters on economic development have several important limitations, both at the level of the outcome variable as well as at the level of the independent variable, e.g., the timing of an event and the measuring of its intensity. We aim to overcome these limitations by using geophysical event data on earthquakes together with satellite nighttime lights. Using panel fixed effects regressions covering the entire world for the period 1992–2013, we find that earthquakes reduce both light growth rates and light levels significantly. The effects persist for approximately 5 years, but we find no long-run effects. Effects are stronger the smaller the area of a unit of observation. National institutions and economic conditions are relevant moderating factors.

In Mali's current context, where the crops sector is particularly exposed and vulnerable to agricultural drought, this study assesses the economy-wide impacts of such events and the potential effectiveness of some adaptation strategies. Using a dynamic computable general equilibrium model, we conduct counterfactual simulations of various scenarios accounting for different levels of intensity and frequency of droughts over a 15-year period. We first show how mild, moderate and intense droughts currently experienced by the country affect its economic performance and considerably degrade the welfare of its households. We also show how these negative impacts could be aggravated in the future by the likely increased number of intense droughts threatened by global climate change. However, we finally show that there appears to be some room for Mali to maneuver in terms of drought-risk management policies, such as fostering the use of drought-tolerant crop varieties, improving drought early warning systems or extending irrigation capacities.

This study evaluates the effects of vegetative soil conservation practices (afforestation and/or bamboo planting) on farm profit and its components, revenue and variable cost. Since farmers self-select themselves as adopters of conservation measures, there could be a problem of selection bias in evaluating their soil conservation practices. We address the selection bias by using propensity score matching. We also check if there exists spatial spillover in adoption of vegetative conservation measures and how it affects matching. We use primary survey data from the Darjeeling district of the Eastern Himalayan region for the year 2013. Our results suggest strong spatial correlation. We find that the propensity score estimated from the spatial model provides better matches than the non-spatial model. While the results show that vegetative soil conservation can lead to significant gains in revenue, it also increases costs so that no significant gains in profit accrue to farmers.