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Throughout the world, at one period or another in its history, it has been the practice to cultivate tree species and agricultural crops in intimate combination in most of the countries. The history of cultivating trees and crops in home gardens, social tree planting, protecting and managing forests, appreciating wildlife, and sustaining the beauties of nature in Sri Lanka go back to more than about 25 centuries. In chronicles, there are some references on social tree planting practices, and home gardens planted with flowering and fruit-bearing trees in Sri Lanka. Because of the traditions, influencing factors of the existing environment, and nature of agroforestry, the numerous examples of agroforestry practices are found in all agro climatic and ecological zones of Sri Lanka. Today, the traditional knowledge of agroforestry is being developed and expanded with the objective of improving living standards, especially the rural communities in Sri Lanka.

It is globally accepted that climate change is presently the greatest threat to the sustainability of human livelihood and biodiversity. Most farmers in the study area are highly aware of climate change and its consequences on the farming system; however, mitigation strategies are clearly lacking. Among the mitigation, mechanism to reduce the threat is achieved by increasing the amount of carbon sinks and reducing greenhouse gas emission through the adoption of agroforestry practices. The purpose of this study is to determine if awareness on climate change leads to the adoption of agroforestry practices, and to examine the determinants.

A total number of 117 questionnaires were administered to the farmers in the district using stratified random sampling technique. Data were captured and analysed using STATA and XLSTAT software. Descriptive statistics and Heckprobit sample selection model were used to determine the objectives of the study.

The result established that climate change awareness does not lead to the adoption of agroforestry in the study area in which information source and member’s association were statistically significant at (p < 0.1) and (p < 0.05), respectively, and determine the adoption of agroforestry practices, while farming experience (p < 0.1), age (p < 0.05), extension visit (p < 0.05) and education (p < 0.1), were the determining factors that influence the awareness of climate change in the study area.

Regular number of extensions visit, information and training on agroforestry should be provided to the farmers in the study area.

Farmers’ association should be strengthened among the rural farmers.

The causal effect or relationship of climate change awareness on mitigation through the practice of agroforestry in South Africa, especially in the study area, has not been measured. This research set a pace in the area of climate change awareness leading to mitigation strategies through the use of agroforestry practices as an option to be used in the rural farming area of South Africa.

This paper aims to document the adaptation strategies developed by local farmers to adjust to climate change and related hazards in Lijiang Prefecture in Southwest China, and quantify the determinants of the adaptation measures.

The study conducted a household survey with 433 respondents in Lijiang to documents adaptation measures. The authors used a multivariate probit model to quantify five categories of adaptation measures against a set of household features, extension and information, resources, social network, financial assets and perception variables.

The most significant determinants consisted of information on early climate warnings and impending hazards, ownership to land and livestock, irrigation membership in community-based organisations, household savings, cash crop farming and perceptions of climate change and its related hazards. Adaptation strategies and policies highlighting these determinants could help to improve climate change adaptation in the region.

This study quantified the determinants of adaptive strategies and mapped important determinants for the region that will provide farmers with the appropriate resources and information to implement the best practices for adapting to climatic changes. The method and findings could be useful and easily replicable for future agriculture policies.

The purpose of this paper is to provide evidence about the role of the geography on agri-food firms’ valuations. The goal is to test clusters and agglomeration effects on the SMEs valuations.

The authors propose an empirical test applying a spatial regression analysis on a sample constitute by 306 agri-food SMEs located in two municipalities with different economic characteristics: Murcia and Madrid. In addition, the authors applied the discounted cash flow model in order to estimate the SMEs’ economic value.

The findings show the importance of the geography variables on the SMEs’ performances highlights interesting differences between territories. In particular, the results confirm that the geographical proximity between agri-food firms and between them and external agents is significant on firms’ valuations. The agglomeration effects are verified in both municipality but the density variable present a negative non-linear effect confirming previous studies which indicates that the existence of a large number of firms 05 rise competition, decreasing the economic opportunities of these companies.

This study gives interesting insights to policymakers, researchers and practitioners concerning the importance of the relationships among agents, also favoured by a developed infrastructures system in a fully connected environment.