Suchergebnisse

Village development positions the village as a subject of development that must be able to manage its own development. Competitiveness that is interpreted as the ability to achieve the absolute development goals must also be owned by the village to realize an effective village development policy. The limited competitiveness measure up to the village level shows the urgency of the establishment of these indicators. Related to this problem, this research forms a village-level competitiveness index and its comparability to kelurahans so that an evaluation of existing policies can be carried out as a whole. The composite index formed refers to the method developed by the Organization of Economics Co-operation and Development (OECD). This index covers 5 dimensions and uses 2014 Village Potential data (PODES). This study produces a composite index of village competitiveness that is quite relevant seen from the positive and significant correlation values with the Village Development Index. In this study, rural / urban villages are grouped into 3 namely low, medium and high competitiveness. From the results of this study, there is a fact that villages in the highlands tend to be categorized as low competitiveness. In addition, villages with low competitiveness are concentrated in many districts such as Purworejo, Rembang, Wonosobo, Blora, and Wonogiri. In general, the causes of underdeveloped villages that are low in competitiveness are health and economic dimensions which should be a priority for the government's attention.

The Covid-19 has reduced the pace of the national economy, including on Sumatra Island. The resulting domino effect is the increasing number of poor people, especially those focused on the agricultural sector in rural areas. The effort to overcome this problem, an effective and efficient policy strategy framework is needed. Therefore, this study aims to analyze the effect of Farmer Exchange Rates, the realization of Social Assistance, and Village Budget on the alleviation of monetary poverty and multidimensional poverty in Sumatra Island. This study's analytical method is a panel regression analysis of 10 provinces on Sumatra with the data period from 2015-2018. This study finds that the Farmer Exchange Rate, the realization of Government Spending for Social Assistance, and the Village Budget realization are proven to influence the number of poor people in this region. The government can take some policies to solve this poverty. First, stabilizing agricultural commodity prices through trade between provinces and rescheduling farming schedules. Second, giving additional focus to long-term social assistance programs and ensuring the accuracy of program recipients' targets. The last, encouraging the realization of the Village Budget, especially for community empowerment-based. ; Sumatra Economic Summit 2020 (https://sumatranomics.com/)