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The Influence of Exchange Rate on CPO Exports of Indonesia Agung Prasetyo; Sri Marwanti; Darsono .
Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan Vol 18, No 2 (2017): JEP 2017
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jep.v18i2.4233

Abstract

This study analyzes the effect of the exchange rate (IDR to US Dollar) on Indonesian CPO exports using Error Correction Model (ECM). The result of ECM analysis showed that exchange rate has a weak effect on Indonesian CPO export. These were due to several things; first, it takes a time to produce CPO. Second, importers are unaware of price changes. Third, policy factors, such as refusal of Indonesian CPO in USA and imposition of high import duty tariff in France. Fourth, price factor of CPO substitution goods and negative issues in the palm oil industry. Fifth, Indonesian exporters were less creative in marketing CPO products than Malaysia. ECM analysis also resulted that CPO production and CPO prices have no effect on Indonesian CPO exports, while the price of soybean oil and CPO production in the previous month has a strong influence on Indonesian CPO exports. Indonesian CPO export is inelastic.
Analisis Faktor-Faktor yang Mempengaruhi Produksi Usahatani Bawang Merah di Kecamatan Tawangmangu Vita Intari Afrianika; Sri Marwanti; Isti Khomah
Agriecobis : Journal of Agricultural Socioeconomics and Business Vol. 3 No. 2 (2020): Oktober
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/agriecobis.Vol3.No2.79-86

Abstract

The purpose of this research was to find out production factors affecting on the shallots production in Tawangmangu Subdistrict. The basic method used in this research was inferensial statistic. The determination of the sample area was purposive and the determination of respondents was accidental sampling with 60 farmers as respondents. The technique of collecting data was done by observation, interview, and recording. The data analysis method used Cobb-Douglas regression analysis model. The coefficient of determination (Adj R2) in this research is 0,631, which mean that 63,1% of shallots production in Tawangmangu Subdistrict could be explained by all factors in this research and the rest was explained by other factors. F test result of variable land area, labor, number of seeds, manure, nitrogen fertilizer, phosphorus fertilizer, potassium fertilizer and pesticides simultaneously have an significant effect on the shallots production in Tawangmangu Subdistrict. t test result of land area, number of seeds and pesticides individually have a significant effect on production, while labor, manure, nitrogen fertilizer phosphorus fertilizer and potassium fertilizer individually have no significant effect on the shallots production in Tawangmangu Subdistrict. Land area variable is the most influences factor on the shallots production in Tawangmangu Subdistrict.