Abstract
Conversion of paddy fields in Indonesia is quite alarming, reaching an average area of 10 thousand hectares per year. Various regulations have been created and assigned; however, they are considered not to effectively reduce the rate of conversion of the existing paddy fields. The paddy field conversion has brought about negative impacts on the national food security. To overcome these, besides issuing the government regulations to reduce the rate of paddy field conversion, the government has also set a number of policies to boost rice production and to improve the welfare of farmers. One policy is the pricing policy by the Government Purchase Price (grains/rice). This study aimed to analyze the paddy field conversion in Indonesia and its effect on the Government Purchase Price (grains/rice). The data used in this research were the dynamic time series data from the years of 1990-2010, with the consideration of the upward trend in paddy field conversion in Indonesia. The models built an econometric model of simultaneous equations consisted of 41 equations (19 structural equations and 22 identity equations) or in other words, the model consisted of 41 endogenous variables. The results showed that the real prices (grains/rice) of the government purchases have inelastic responses to the changes of all explanatory variables in the short and long terms. The conversion of paddy fields in Indonesia has not only reduced the existing rice production capacity but also has affected the government purchase price policy (grains/rice). The government requires to implement the multi qualities of the government purchasing pries (HPP) for both grains and rice. Keywords: rice, grain, government purchase price, paddy field conversion
Highlights
Conversion of paddy fields in Indonesia is quite alarming, reaching an average area of 10 thousand hectares per year
Besides issuing the government regulations to reduce the rate of paddy field conversion, the government has set a number of policies to boost rice production and to improve the welfare of farmers
The data used in this research were the dynamic time series data from the years of 1990-2010, with the consideration of the upward trend in paddy field conversion in Indonesia
Summary
Jenis data yang digunakan dalam penelitian ini adalah data deret waktu dari tahun 1990–2010 yang bersifat dinamik dengan pertimbangan tren peningkatan konversi lahan sawah di Indonesia. Data net konversi lahan sawah yang bernilai positif diasumsikan secara netto tidak terjadi konversi lahan sawah sehingga bernilai nol dan selanjutnya ditulis 0,001 untuk memudahkan pengolahan data. Penghitungan parameter pendugaan persamaan struktural dalam model dilakukan dengan menggunakan program komputer SAS/ETS (Statistical Analysis System/Econometric Time Series) versi 9.1.Penelitian ini menguji tentang beberapa asumsi dari metode pendugaan OLS, yaitu sebagai berikut: a. Sebagai pengganti untuk mengetahui apakah serial korelasi (autocorrelation) atau tidak dalam setiap persamaan, maka digunakan uji statistik dh (Durbin-h statistic) sebagai berikut: Keterangan: h (Angka statistik Durbin-h); Dw (Durbin-w statistik); T (Jumlah observasi); Var (β) (Varian koefisien regresi untuk lagged dependent variable)
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
