The USAID Building Agribusiness Capacity in East Timor (BACET) program was extended for three additional years in September 2008. Land O’Lakes gathered feedback from the Ministry of Agriculture, USAID, teachers and students and immediately initiated enhancements to improve the curriculum previously developed to reinforce practical and market-oriented skills.
The Building Agribusiness Capacity in East Timor (BACET) project is designed to create a sustainable educational training program that will produce 150 entry-level agricultural extension specialists, agribusiness managers and/or entrepreneurs.
Building Agribusiness Capacity in East Timor (BACET) directly contributes to USAID/Timor-Leste’s agriculture and workforce development strategies for economic growth. Though categorized as a capacity building and workforce development activity, many of the key activities of BACET have included infrastructure improvements, which are longer-term in nature. Similarly, teacher training and changed teaching methods have long-term impact.
Building Agribusiness Capacity in East Timor (BACET) directly contributes to USAID/Timor-Leste’s agriculture and workforce development strategies for economic growth. Though categorized as a capacity building and workforce development activity, many of the key activities of BACET have included infrastructure improvements, which are longer-term in nature. Similarly, teacher training and changed teaching methods have long-term impact.
Building Agribusiness Capacity in East Timor (BACET) directly contributes to USAID/Timor-Leste’s agriculture and workforce development strategies for economic growth. Though categorized as a capacity building and workforce development activity, many of the key activities of BACET have included infrastructure improvements, which are longer-term in nature. Similarly, teacher training and changed teaching methods have long-term impact.
Building Agribusiness Capacity in East Timor (BACET) directly contributes to USAID/Timor-Leste’s agriculture and workforce development strategies for economic growth. Though categorized as a capacity building and workforce development activity, many of the key activities of BACET have included infrastructure improvements, which are longer-term in nature. Similarly, teacher training and changed teaching methods have long-term impact.
The mergers of some of the world's largest agribusinesses have led to speculation about what sort of global citizens the new companies will become and whether vulnerable rural populations, especially smallholder men and women farmers, will be negatively impacted. As innovation leaders in the agriculture industry, these new companies will be expected to play key roles in finding solutions for major agricultural challenges facing the world today.
The food production and processing value chain is under pressure from all sides—increasing demand driven by a growing and more affluent population; dwindling resources caused by urbanization, land erosion, pollution and competing agriculture such as biofuels; and increasing constraints on production methods driven by consumers and regulators demanding higher quality, reduced chemical use, and most of all environmentally beneficial practices ‘from farm to fork’.
Innovations generally arise out of a network of actors and relationships and network structure determines how effective networks are at fostering innovation. This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. The prototype method used is based on social network analysis methodology. This paper concludes with a final section to identify lessons learnt and makes recommendations for future research.
This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. It is complemented by a further paper (Part I) by Boru Douthwaite and colleagues in the same issue of this journal which presents a case study of work conducted by the International Centre for Tropical Agriculture (CIAT). The prototype methods used in both Parts I and II are based on social network analysis (SNA) methodology.