Ocean Acidification (OA) has become one of the most studied global stressors in marine science worldwide during the last fifteen years. Despite the variety of studies on the biological effects of OA with marine commercial species, estimations of these impacts over consumers’ preferences have not been studied in detail, compromising our ability to undertake an assessment of some market and economic impacts resulting from OA at local scales. Here, we use a novel and interdisciplinary approach to fill this gap.

We pair a county-level panel of annual agricultural production with daily weather outcomes to measure the effects of temperature fluctuations on total agricultural output value of farming, forestry, animal husbandry and fishing in China.

This paper presents a joint estimation of willingness to pay for conservation activities aimed to preserve the flow of ecosystem services provided by a marine protected area network and respondents´ personal discount rate using a contingent valuation survey. It contributes to the literature on identifying people´s discount rates moving beyond the use of the exponential schemes, to include a hyperbolic discount rate through variations in the timing and duration of the provision of public goods.

Ocean acidification (OA) is one of the largest emerging and significant environmental threats for the aquaculture industry, jeopardizing its role as an alternative for supporting food security. Moreover, market conditions, characterized by price volatility and low value-added products, could exacerbate the industry’s vulnerability to OA.

The nexus between climate change, agriculture, and poverty has become a major topic of concern, especially for dry regions, which represent a large share of the world’s population and ecosystems vulnerable to climate change. In spite of this, to date, few studies have examined the impacts of climate change on agriculture and the adaptation strategies of vulnerable farmers from emerging semi-arid regions with dualist agriculture, in which subsistence farms coexist with commercial farms.

This paper examines relationships between crop insurance and input technology decisions among Chilean wheat farmers. Using nationwide farm-level data, a bivariate probit model is estimated. We investigate the extent to which the adoption of production input technologies is associated with farmers’ participation in the

The productivity of certain crops such as coffee (Coffea arabica L.), maize (Zea mays) and beans (Phaseolus vulgaris L.) is expected to decline in Central America because of climate change. This will impact regional economies and livelihoods of smallholder farmers relying on these crops for their food security and livelihoods.

Climate change will affect the distribution, productivity and profitability of coffee production in Central America, negatively impacting national economies and small farmer livelihoods.