• Energy Research

Despite the presence of several studies on technology adoption, there are limited empirical studies on how socio-psychological factors affect the adoption of sustainable agriculture. Therefore, this paper investigates how socio-psychological factors-such as social capital, information, attitudes, efficacy, and aversion-affect smallholder farmers’ decisions to adopt sustainable land management practices, such as agroforestry systems, organic compost, and crop rotation with legumes. Cross-sectional data are collected from 350 randomly selected farm households using a pre-tested and structured questionnaire. A multivariate probit model is used to investigate factors that influence the probability of adopting these practices. The ordered probit model is also applied to identify and analyze the determinants of the number (intensity) of land management practices adopted. The findings indicate that nearly half of the farmers have adopted these land management practices to improve soil fertility, enhance water retention capacity, and increase productivity. It is also found that attitudes, information, education, group membership, relational capital, risk attitudes, and labor supply significantly affect the probability of adopting these agricultural practices. The estimates of the ordered probit model also indicate that extension services, risk attitudes, group membership, relational capital, education and labor supply are major determinants of the number of land management practices used. However, financial resources, biophysical factors and some demographic factors are found to have an insignificant effect on sustainable agriculture adoption. This implies that when it is necessary to promote sustainable land management practices and to stimulate smallholder farmers to adopt such practices in isolation or combination, specific strategies should be designed to improve awareness, build positive attitudes, reduce risk aversion, strengthen formal organizations, and empower endogenous groups (or informal institutions).

Despite the presence of several studies on technology adoption, there are limited empirical studies on how socio-psychological factors affect the adoption of sustainable agriculture. Therefore, this paper investigates how socio-psychological factors-such as social capital, information, attitudes, efficacy, and aversion-affect smallholder farmers’ decisions to adopt sustainable land management practices, such as agroforestry systems, organic compost, and crop rotation with legumes. Cross-sectional data are collected from 350 randomly selected farm households using a pre-tested and structured questionnaire. A multivariate probit model is used to investigate factors that influence the probability of adopting these practices. The ordered probit model is also applied to identify and analyze the determinants of the number (intensity) of land management practices adopted. The findings indicate that nearly half of the farmers have adopted these land management practices to improve soil fertility, enhance water retention capacity, and increase productivity. It is also found that attitudes, information, education, group membership, relational capital, risk attitudes, and labor supply significantly affect the probability of adopting these agricultural practices. The estimates of the ordered probit model also indicate that extension services, risk attitudes, group membership, relational capital, education and labor supply are major determinants of the number of land management practices used. However, financial resources, biophysical factors and some demographic factors are found to have an insignificant effect on sustainable agriculture adoption. This implies that when it is necessary to promote sustainable land management practices and to stimulate smallholder farmers to adopt such practices in isolation or combination, specific strategies should be designed to improve awareness, build positive attitudes, reduce risk aversion, strengthen formal organizations, and empower endogenous groups (or informal institutions).

In recent years, research, society and industry recognize the need to transform the agri-food system towards sustainability. Within this process, sustainability experiments play a crucial role in transforming the structure, culture and practices. In literature, much attention is given to new business models, even if the transformation of conventional firms toward sustainability may offer opportunities to accelerate the transformation. Further acceleration could be achieved through collaboration of multiple actors across the agri-food system, but this calls for a systems approach. Therefore, we developed and applied a new sustainability experiment systems approach (SESA) consisting of an analytical framework that allows a reflective evaluation and cross-case analysis of multi-actor governance networks based on business and learning evaluation criteria. We performed a cross-case analysis of four agri-food sustainability experiments in Flanders to test and validate SESA. Hereby, the key factors of the success of collaboration and its performance were identified at the beginning of a sustainability experiment. Some of the key factors identified were risk sharing and the drivers to participate. We are convinced that these results may be used as an analytical tool for researchers, a tool to support and design new initiatives for policymakers, and a reflective tool for participating actors.

In recent years, research, society and industry recognize the need to transform the agri-food system towards sustainability. Within this process, sustainability experiments play a crucial role in transforming the structure, culture and practices. In literature, much attention is given to new business models, even if the transformation of conventional firms toward sustainability may offer opportunities to accelerate the transformation. Further acceleration could be achieved through collaboration of multiple actors across the agri-food system, but this calls for a systems approach. Therefore, we developed and applied a new sustainability experiment systems approach (SESA) consisting of an analytical framework that allows a reflective evaluation and cross-case analysis of multi-actor governance networks based on business and learning evaluation criteria. We performed a cross-case analysis of four agri-food sustainability experiments in Flanders to test and validate SESA. Hereby, the key factors of the success of collaboration and its performance were identified at the beginning of a sustainability experiment. Some of the key factors identified were risk sharing and the drivers to participate. We are convinced that these results may be used as an analytical tool for researchers, a tool to support and design new initiatives for policymakers, and a reflective tool for participating actors.