‘The Economics of Ecosystems and Biodiversity’ (TEEB) is an initiative hosted by the United Nations Environment Programme (UN Environment), and coordinated by the TEEB Office in Geneva, Switzerland. ‘TEEB for Agriculture & Food’ (TEEBAgriFood) encompasses various research and capacity-building projects under TEEB focusing on the holistic evaluation of agriculture and food systems along their value chains and including their most significant externalities.

Biomass burning of agricultural field residue (stalks and stubble) during wheat and rice harvesting periods in the Indo-Gangetic plains has led to substantial emission of trace gases and particles. This paper seeks to address the regulation of emissions from open field burning of rice residue in Punjab, India by first uncovering the factors that explain on field residue burning of rice residue in Punjab. The results suggest that the use of a combine harvester was the single most important determinant of the decision to burn rice residue.

Farmers’ risk preferences play an important role in agricultural production decisions. This study characterizes risk preferences among farmers in Yongqiao and determines how these risk preferences are related to their choices regarding climate change adaptation strategies. We find that most farmers in the study area were aware of climate change. They were taking measures to protect their livelihoods against perceived changes to the local climate. The risk experiment result shows that the representative subject was risk averse, and women were more risk averse than men.

This study measures the public preferences for cultivated land protection as a case study of Wenling City, China, using the choice experiment (CE) approach. The estimation results indicate that the most important attribute for cultivated land protection in Wenling City was land facility, followed by land fertility and then by landscape improvement.

This study investigates how factors that influence farmers’ intentions to adapt to climate change differ from each other in regions with different levels of vulnerability to climate change. Data were collected from interviews with 598 rice farmers in Dong Thap, Soc Trang and Long An provinces in the Mekong Delta, Vietnam. These provinces were identified respectively as highly, moderately and mildly vulnerable to climate change. Multi-group structural equation modelling was employed.

This article analyzes households’ choice on tea varieties in Vietnam by using a multinomial logit model. The modeling takes into account the issue of unobserved individual heterogeneity and the endogeneity of some explanatory variables (use of chemical and organic fertilizers). The results show that important factors influencing the decision to adopt one type of tea varieties include income, age, household size, farming contract, and use of organic fertilizers, but also membership of professional associations such as the Tea Association and the Farmers Union.

Bangladesh, Sri Lanka, Thailand, and Vietnam each conducted a Ricardian analysis of crop net revenue (NR) in their country. The countries defined seasons slightly differently depending on their monsoon and dry periods. They also sometimes included slightly different variables in their regressions. The countries are small so that the climate results are often insignificant. However, the Ricardian model does predict near term damage in Bangladesh in the CanESM climate scenario and near and far term damage in Thailand in the CMCC climate scenario.