2018
DOI: 10.1088/1757-899x/300/1/012028
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Econometric Model of Rice Policy Based On Presidential Instruction

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Cited by 4 publications
(3 citation statements)
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“…Pada dasarnya penggunaan teknologi akan meningkatkan hasil produksi maupun produktivitas pertanian. Studi Hutauruk (1996); Kako et al (1997) dan Hutauruk dan Sembiring (2002) dalam Sembiring (2011) menunjukkan trend teknologi berpengaruh positif dan secara statistik besaran parameter dugaannya berbeda nyata dengan nol. Studi Sembiring (2011) menghasilkan kecenderungan perubahan teknologi satu persen menyebabkan kenaikan produktifitas padi sebesar 0,010 persen.…”
Section: Hasil Dan Pembahasanunclassified
“…Pada dasarnya penggunaan teknologi akan meningkatkan hasil produksi maupun produktivitas pertanian. Studi Hutauruk (1996); Kako et al (1997) dan Hutauruk dan Sembiring (2002) dalam Sembiring (2011) menunjukkan trend teknologi berpengaruh positif dan secara statistik besaran parameter dugaannya berbeda nyata dengan nol. Studi Sembiring (2011) menghasilkan kecenderungan perubahan teknologi satu persen menyebabkan kenaikan produktifitas padi sebesar 0,010 persen.…”
Section: Hasil Dan Pembahasanunclassified
“…Additionally, the estimated model can be tested statistically and be validated to ensure their adequacy which is an important feature for policy analyses. The econometric modelling approach as it applies to the agrifood sector can either be of a comprehensive form (Egwuma et al, 2016;Sembiring & Hutauruk, 2018;Yazdanshenas et al, 2011) which encompasses all of the demand, supply, price, and stock components of the market, or a single/multiple components of a market (Chandio et al, 2018;Paul et al, 2020;Yusuf et al, 2020). These variations in scope in addition to differences in included variables in a model, create a challenge for comparisons of studies in modelling agrifood systems.…”
Section: Literature Reviewmentioning
confidence: 99%
“…These variations in scope in addition to differences in included variables in a model, create a challenge for comparisons of studies in modelling agrifood systems. For example, in a study on rice markets, Kozicka et al (2015) estimated their production variable as a single equation while Sembiring and Hutauruk, (2018) on the other hand, estimated area harvested and yield variables separately, so that their product is an identity for the production variable. However, both studies shared a commonality in the sense that rice production and paddy area harvested were price elastic.…”
Section: Literature Reviewmentioning
confidence: 99%