The development of innovations in agriculture can contribute to achieving many of the development goals included in government policy agendas. The development of new agricultural technologies has helped increase agricultural output per unit of input. This contributes to reducing the use of resources, combating climate change and its impacts, and improving livelihoods by reducing poverty and hunger while increasing the opportunity to allocate resources to other goals such as education and health. However, just as important as the development of innovations is their adoption by potential users. Hence, understanding the role of users' views and perceptions on the pros and cons of agricultural innovations (e.g. characteristics, potential uses, costs) along with environmental conditions (e.g. peers' views, government support) and communication channels used is key to both evaluating and contributing to the success of new technologies.
This Research Topic has 3 main goals: 1) to contribute to the literature around technology adoption by providing practitioners with novel models and methods that help to evaluate the success of technology innovations in agriculture (i.e. adoption, diffusion of innovations) in ways that enable them to incorporate/discuss the interlinkages between land, livelihoods, the environment, and food security. This includes studies on either developing and developed countries, or both;
2) to contribute to the technology adoption literature by gaining an understanding of the interactions between the individual (farmer), social and environmental factors in the adoption of new technologies. For instance, there is relatively limited literature on the unobserved heterogeneity of social and environmental factors associated with technology adoption. Also, there is relatively few studies that study potential adopters' intrinsic factors such as knowledge, perceptions and attitudes, but also personality traits that may be relevant in their decision making processes. 3) providing policy recommendations for achieving policy goals associated with the adoption of innovations in agriculture.
New agricultural technologies can include many different innovations such as precision agriculture, robotics, artificial intelligence, the Internet of things, big data analysis, agricultural practices, ago-biotechnology. The use/adoption of these can provide both market and non-market goods (provision of environmental goods). We are interested in articles that develop and/or apply quantitative and/or qualitative methods to either 1) Identify factors (intrinsic and extrinsic) that may affect the adoption of innovations in agriculture and analyze their interactions and role in potential innovation adopters' decision process. 2) Evaluate the success of innovations in agriculture. Specifically, evaluations need to incorporate/discuss the inter-linkages between adoption decisions and their effect on land, livelihoods, the environment and food security. All articles need to contribute to policy design. Therefore, policy implications and/or recommendations should be included.
The development of innovations in agriculture can contribute to achieving many of the development goals included in government policy agendas. The development of new agricultural technologies has helped increase agricultural output per unit of input. This contributes to reducing the use of resources, combating climate change and its impacts, and improving livelihoods by reducing poverty and hunger while increasing the opportunity to allocate resources to other goals such as education and health. However, just as important as the development of innovations is their adoption by potential users. Hence, understanding the role of users' views and perceptions on the pros and cons of agricultural innovations (e.g. characteristics, potential uses, costs) along with environmental conditions (e.g. peers' views, government support) and communication channels used is key to both evaluating and contributing to the success of new technologies.
This Research Topic has 3 main goals: 1) to contribute to the literature around technology adoption by providing practitioners with novel models and methods that help to evaluate the success of technology innovations in agriculture (i.e. adoption, diffusion of innovations) in ways that enable them to incorporate/discuss the interlinkages between land, livelihoods, the environment, and food security. This includes studies on either developing and developed countries, or both;
2) to contribute to the technology adoption literature by gaining an understanding of the interactions between the individual (farmer), social and environmental factors in the adoption of new technologies. For instance, there is relatively limited literature on the unobserved heterogeneity of social and environmental factors associated with technology adoption. Also, there is relatively few studies that study potential adopters' intrinsic factors such as knowledge, perceptions and attitudes, but also personality traits that may be relevant in their decision making processes. 3) providing policy recommendations for achieving policy goals associated with the adoption of innovations in agriculture.
New agricultural technologies can include many different innovations such as precision agriculture, robotics, artificial intelligence, the Internet of things, big data analysis, agricultural practices, ago-biotechnology. The use/adoption of these can provide both market and non-market goods (provision of environmental goods). We are interested in articles that develop and/or apply quantitative and/or qualitative methods to either 1) Identify factors (intrinsic and extrinsic) that may affect the adoption of innovations in agriculture and analyze their interactions and role in potential innovation adopters' decision process. 2) Evaluate the success of innovations in agriculture. Specifically, evaluations need to incorporate/discuss the inter-linkages between adoption decisions and their effect on land, livelihoods, the environment and food security. All articles need to contribute to policy design. Therefore, policy implications and/or recommendations should be included.
