The Analysis of Leading Subsector Paddy Commodities in South Sumatera Province (LQ Analysis)

Rohima, Siti; Yulianita, Anna; Dewi, Nengsi Puspita

doi:10.5220/0008437601330140

Cited by 1 publication

(2 citation statements)

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“…Pi Pt (1) With; pi = harvested area of commodity i in sub-district level; pt = total of harvested area of all commodities in sub-district level; Pi = harvested area of commodity i in district level; Pt = total of harvested area of all commodities in district level The commodities were classified in the annual and perennial commodity. Conditions apply, that if [5] LQ > 1: the commodity becomes base or become a source of growth. Commodities have a comparative advantage; the results can not only meet the needs in the area concerned but also can be exported outside the region.…”

Section: Leading Commodities Identificationmentioning

confidence: 99%

“…Determination of a commodity as regional superior commodities must be altered with the forced of its natural resources and human resources. A commodity will be selected as regional leading commodity whether it has high productivity and provide added value which has a positive impact on public welfare [5]. Determination of regional superior commodities must consider also to the contribution to the economic growth and equitable development aspect in those area.…”

Section: Introductionmentioning

confidence: 99%

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Determination of Leading Commodities and Its Development Area in Sigi District Central Sulawesi

et al. 2021

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The development of leading commodities in a region must be based on its potential and development opportunities. Various benchmarks can be used as a basis for determining the leading commodities includes Location Quotient (LQ). The study aims to determine the potential leading commodities and its development area in Sigi District. The research was conducted in November 2020-Februari 2021. The data collected were primary and secondary data, which secondary data was in the form of harvested areas time series of agricultural commodities in the 2013-2018 periods. Moreover, primary data was collected through Focus Group Discussion and interview using questionnaire. The leading commodities were analyzed using the LQ while the area development of leading commodities was determined by Technique for Others Preference by Similarity to Ideal Solution (TOPSIS). Criteria for TOPSIS included agroecosystems, water availability, infrastructure, human resource, and support-systems. Based on Location Quotient, the annual commodities of corn, groundnut, green beans, cassava, shallot, Chinese cabbage, tomato and perennial commodities namely clove, nutmeg, coffee, candlenut, cocoa, and vanilla were classified as leading commodities in Sigi District. The potential development area model for shallot is Oloboju Village, Biromaru Sub-District while the potential development area model for corn is Pesaku Village, Dolo Barat Sub-District.

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Section: Leading Commodities Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%