Agricultural eco-efficiency and climate determinants: application of dea with bootstrap methods in the tropical montane cloud forests of Puebla, Mexico

Carlos Rosano-Peña, Mario Del Roble Pensado-Leglise, André Luiz Marques Serrano, Aurelio Amado Bernal-Campos, Marisol Hernández-Cayetano

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

5 Citas (Scopus)

Resumen

This research analyzes the eco-efficiency of peasant production in a sample of 32 Puebla municipalities located in the tropical montane cloud forests (TMCF) and the influence of climatic factors, considering data from two years 2016–2017. Therefore, window data envelopment analysis approach with bootstrap in two stages was used. The results allow us to draw two basic conclusions. 1) It is possible, imitating the benchmarks, at the aggregate level in the region, to increase annual revenue and preserved areas by 58.7%, with the same inputs; or equivalently, reduce inputs and environmental costs by 36.98% with the same level of production. 2) Eco-efficiency scores are significantly affected by climatic factors and thus, the increase in temperature and the reduction in precipitation should have predominantly positive impacts on the region’s eco-efficiency. This finding should be based on the characteristics of the region—humid mountainous forest with rain for most of the year and persistent mist almost at ground level. Based on this information, strategies can be defined by decision makers to harmonize economic growth and environmental preservation, as well as adaptive policies and actions to reduce vulnerability and improve the resilience of peasant producers.

Idioma originalInglés
Número de artículo2138852
PublicaciónSustainable Environment
Volumen8
N.º1
DOI
EstadoPublicada - 2022

Huella

Profundice en los temas de investigación de 'Agricultural eco-efficiency and climate determinants: application of dea with bootstrap methods in the tropical montane cloud forests of Puebla, Mexico'. En conjunto forman una huella única.

Citar esto