This study aims to develop Management Strategy Model to optimize the potential income of new villages in order to improve the welfare of people in Southwest Sumba Regency East Nusa Tenggara Province. By exposing LQ calculation in the first year, this research found that the potential income sector are Agriculture, Forestry and Fisheries, information and communication sector. In particular, tourism sector should be the main sector for the regency income, but it has not yet given a positive contribution to the formation of Gross Domestic product. In the second year, Analytical Hierarchy Process (AHP) was exposed to find the reasons of poor contribution from each sector to increase gross domestic product. This was done through three main stages of problem decomposition, determining Criteria Efforts to overcome the problem of utilization of village funds, village efforts to develop superior products and superior product marketing efforts. Third step is to determine the sub-criteria: Integrity Human Resources, institutional regulation, Management and supervision, market access, innovation and appropriate technology, Institutional, Diversity of products, market coverage, and Technopreneur. At the first step, it was found that marketing issues and poor infrastructure are the main constraints of poor contribution from tourism. In Agriculture, forestry and fisheries sub-sector especially in food crops are rice, maize, cassava, yams and soybeans, the problems encountered are high imports of agricultural products, land tenure issue, inadequate infrastructure, and poor village government
The aim of this research were to review the state of rice industry over the past 15 years (2003-2017) based on the demand and supply situation in East Nusa Tenggara. The development of the price of rice, the factors that influence the demand and supply, and determine the policy impact of rice demand and supply in East Nusa Tenggara Province. This research uses the econometric model, that is a simultant structural equation,which was indentified by the order condition and it was approaches using Two Stage Least Square (2SLS). The data used in this research was the time series of secondary data during 15 years period from 2003-2017 that was provided by Central Startics Office, the National Logistics Authority, the NTT Agricultural Bureau and other publications related to this investigation. The analysis showed that the amount of rice production was really depended on harvest area, rice consumption, rice supply and rice production in the previous year. The retail price of rice was responded to the price of corn and the demand for rice in the long term, while in the short term it only responded to the price of corn. The amount of rice consumption responded to rice production, rice prices and rice demand. Rice imports reacted to rice production, rice prices, corn prices and rice consumption in the long run. Based on the results of the research, it was suggested that the area of irrigation needs to be extended,in each region of East Nusa tenggara Province, particularly technical irrigation in order to increase the rice production, and it es neededto do diversification programs in order to reduce dependency rice. The weakness of this research was it used the inpure simultan model.
Research about the determining of allocative and technical efficiency level of sweet corn farming in East Kupang Sub District aims to find out the effect of the use of production factors toward sweet corn production; to analyze the level of allocative efficiency of its use; and to analyze the level of production technical efficiency of sweet corn. The research location was chosen by purposive sampling with the consideration that Oesao village and Pukdale are villages where produce sweet corn in East Kupang Sub District. The sample of research respondents was taken by simple random sampling with 79 respondents consisting of 35 farmers from Oesao village and 44 farmers from Pukdale village. The collect of data had been carried out as long as February to March 2020. The reseach results showed that the factors of land, seed, and urea production significantly affected the production of sweet corn, while the factors of NPK, pesticides and labor production had no significant effect. The level of efficiency can be reached through allocate production inputs precisely. In this case, by reducing the use of land and urea fertilizer, on the other hand, by adding the use of seeds. Also, the farmer production level technically is not efficient yet with the average of actual production level is 10,408 grains or around 1,487 kg, while the average frontier production level is 28,146.64 grains or around 4,021 kg. There are 39 farmers who their technical efficiency in low level category, than, 28 farmers in moderate level category, and as many as 12 farmers have reached a level of technical efficiency.
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