The role of regional Igr institutions in decision-making in Santa Cruz -Bolivia
Valverde, Heidi Tatiana
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The research investigation explores the topic from the point of view of intergovernmental institutions and the regional (departmental) decision-making process in Santa Cruz- Bolivia. The purpose was to determine if these institutions influence the decision-making process of actors in the area of road infrastructure. The topic is explored from the viewpoint of Actor-Centered Institutionalism from Scharpf. It states that the solutions to solve social problems can be explained as the outcome of interactions among intentional actors, but that these interactions are structured and outcomes are influenced by the characteristics of the institutional setting in which they occur. For that purpose, the study identifies the actor constellations participating in the process, their modes of interaction and the constraints they face as a result of the institutional setting. The research starts by distinguishing the formal, informal and fiscal lOR institutions and determine their importance; for this purpose, the classification by Agranoff is used. Afterwards, the investigation portrays the decision-making process in the area and analyzes the final decisions of actors as a result of the institutions shaping them. It is argued that mostly fiscal arrangements are shaping the decision-making process in the area. The formal and informal arrangements are determining the actor constellations participating in the process and how they interact, as well as which institutional constraints they face. It is concluded that there are missing channels of intergovernmental cooperation between the national and the departmental level, and it generates misunderstandings and uncertainty. The channels of cooperation between the department and the provinces exist, but training and technical advice is needed to enhance actors' capacities at this level. The mini-thesis concludes with the policy implications derived from the dynamics at the regional level and identifying other factors influencing the decision-making process.