It was the intention of the Task Team of South South Cooperation (TT-SSC) to gain better understanding about horizontal partnership among developing countries in order to design evidence-based policy guidance on effective South-South cooperation. In relation to this, a total of 110 case stories concerning South South or triangular technical cooperation among two or more governments or organizations were collected. These comprised wide range of topics, budget and institutional involvement as well as regional and interregional connections. Hence, 15 case stories were selected to be further analyzed as case studies to provide better evidence for policy recommendations. This report deals with one of the case stories submitted under the title of ‘Indonesia-Japan Training on Artificial Insemination of Dairy Cattle’.
The analysis works and reporting made in this case study was guided by the TT-SSC analytical work 2010-2011. Secondary data analysis, interviewing key respondents and distributing questionnaires were made in this study. The questionnaires were sent to ex-participants of the training via email as a means to elucidate impact of the training.
The Artificial Insemination (AI) of dairy cattle training was executed under a triangular cooperation including the Government of Indonesia (GOI) and Government of Japan (GOJ) represented by Japan International Cooperation Agency (JICA) as providing countries and the Singosari National Artificial Insemination Centre (SNAIC) in Indonesia as implementing institution. The training had been implemented in four consecutive years since 2007 during which nineteen countries were participated as receiving countries. A total of 76 personnel from institutions equivalent to the department of animal production had participated. Their educational background and task varied within and between training batches. The training program in each year comprised 95 hours theory and 140 hours practical sessions.
This case study found that this triangular cooperation proof good partnership at the side of providing countries in which good commitments between the parties involved ensured transparency and mutual accountability to produce output in the form of higher capacity AI personnel. Such evidence appears to lay on mutual understanding between the parties about their vision and missions which were assembled from their long collaborative work experiences in the past. In term of ownership, Indonesia is well performed as indicated by the responsible measures implemented in the training organization. The existence of faith champion had induced the overall management to be carried out. At side of receiving countries, however, indication of ownership was difficult to be found. This may because the training was deliberately made to share out knowledge of the implementing institution with their colleagues in the developing countries. Prior to the formulation of the training there was no process for matching the demand of knowledge of the receiving countries with the supply potential. In overall, however, the training had improved human capacity for sectoral or regional self help efforts, especially on the practice of AI, that enriched the receiving countries at relatively low cost. After the training, communication between ex-trainees with the SNAIC personnel had continued through unofficial information technology based network that unexpectedly emerged post training. Problems of AI faced by individual ex-trainee are discussed in a responsive manner.
Impact of the training as an important measure of budgetary efficiency that may affect the training sustainability was not easily measured as there was no instrument outlined in the training program. From small number of questionnaire returned, initial sign of good impacts were identified. These seems related with position of the trainee within the administrative hierarchy and original task. Trainees whose having managerial position and lecturers seems to be able to create positive impacts in more broader sense as compared to field workers. It is proposed that mechanism to measure impact of the training should be embodied in the training program to sustain triangular cooperation on knowledge exchange. In addition, in order to facilitate the receiving countries authorities properly manage the training output, the expected competencies of the training output should be well informed in advance on the general information of the training.
The challenges of developing countries to improve their dairy industry embracing large number of issues including technical and socio-economic elements. It seems that the platform had been set by the present dairy cattle AI training need to be expanded to accommodate exchange of knowledge on subjects related to the challenges.