El cambio climático viene afectando de manera diferenciada a la agricultura, en particular, en la zona andina, dada su alta exposición, sensibilidad y baja capacidad adaptativa. Se evaluó la respuesta adaptativa de la agricultura andina frente a una variación de la disponibilidad hídrica debido al cambio climático en base al modelo hidro-económico que integra dos módulos: el modelamiento hidrológico en base al SWAT y un modelo económico de optimización en base al PMP.

According to NOAA, the results of an economic valuation are applicable as public policy if they fulfill two conditions: rationality and plausibility. In this study, we carried out the valuation of biodiversity conservation in Manu National Park in Peru (a megabiodiverse country), based on three representations: species, habitat and functionality. We identify sensitivity to scope in most of the attributes used. When we add socioeconomic characteristics, we identify that gender and salary levels affect preferences.

The objective of this research is to evaluate the technical and economic efficiency in the production of quinoa in the Department of Puno, Peru, through the use of the stochastic production function model. To achieve this, face-to-face surveys were applied to 461 producers, who were segmented according to their cultural practice (Quechua and Aymara) and their agroecological zone (Circunlacustre, Suni and Puna). The results indicate that the Aymaras are more efficient than the Quechuas.

The diverse aquaculture sector makes important contributions toward achieving the Sustainable Development Goals (SDGs)/Agenda 2030, and can increasingly do so in the future. Its important role for food security, nutrition, livelihoods, economies, and cultures is not clearly visible in the Agenda 21 declaration. This may partly reflect the state of development of policies for aquaculture compared with its terrestrial counterpart, agriculture, and possibly also because aquaculture production has historically originated from a few key hotspot regions/countries.