ANALISIS DETERMINAN EKSPOR MAKANAN OLAHAN INDONESIA KE PASAR NON-TRADISIONAL AFRIKA

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Laras Sirly Safitri ◽  
Fitri Suciati ◽  
Ferdi Fathurohman

Abstrak. Industri makanan olahan merupakan salah satu sektor penyumbang devisa terbesar dari ekspor industri pengolahan, namun akumulasi volume ekspornya sepanjang tahun 2018 mengalami penurunan dibanding tahun sebelumnya. Tujuan dari penelitian ini untuk menganalisis potensi ekspor makanan olahan Indonesia serta faktor determinan permintaannya di pasar non-tradisional Afrika. Penelitian ini menggunakan data sekunder, yaitu data cross section 10 negara tujuan ekspor (Afrika Selatan, Ghana, Kenya, Libya, Madagaskar, Mauritius, Mesir, Nigeria, Sierra Leone, dan Uganda) dan data time series selama 9 tahun (2010 – 2018). Metode analisis yang digunakan adalah gravity model. Analisis gravity model menunjukkan bahwa faktor determinan yang mempengaruhi ekspor makanan olahan Indonesia ke pasar non-tradisional Afrika adalah nilai tukar negara tujuan terhadap US$ dan harga ekspor di negara tujuan.  Kata Kunci: gravity model, perdagangan bilateral, industri pengolahan Abstract. The processed food industry is one of the most significant sources of foreign exchange in processing industry exports, however, the accumulation of the export volume has decreased throughout 2018 over the preceding year. This study aims to determine the potency of Indonesia's processed food exports and its determinant factors in Africa's non-traditional market demand. This research used secondary data, which are cross-section data of 10 export target countries (South Africa, Ghana, Kenya, Libya, Madagascar, Mauritius, Egypt, Nigeria, Sierra Leone, and Uganda) and time-series data within the time from 2010-2018. The data analyzed by the gravity model. The gravity model indicated the factors determining Indonesia's processed food exports to non-traditional markets in Africa were the exchange rate of the target countries to US$ and the target countries' costs on exports.  Keywords: gravity model, bilateral trade, processing industry

2012 ◽  
Vol 60 (2) ◽  
pp. 153-157 ◽  
Author(s):  
Mili Roy ◽  
Md. Israt Rayhan

In counterpoint to export growth, Bangladesh import growth has remained much less strong, despite impressive progress in import liberalization. This study gives an overview of different methodologies related to gravity model analysis in Bangladesh’s import flow. A pooled cross section and time series data were analyzed to incorporate the country specific heterogeneity in country pair trading partners. The import flows are justified by the basic gravity model since Bangladesh’s imports are positively significant by the economy size and inversely related to trade barrier. Accordingly, we have analyzed pooled ordinary least square, fixed effect, random effect. This study also explores extended gravity model using several variables in the light of gravity model panel data approach. Bangladesh’s import is determined by the home and foreign country’s gross domestic product and exchange rate. In addition, Cross section results show that regional trade arrangement which is South Asian Association for Regional Co-operation and border are significant for Bangladesh’s importimplies that Bangladesh should import more from intra regional country and also should import from India.DOI: http://dx.doi.org/10.3329/dujs.v60i2.11485 Dhaka Univ. J. Sci. 60(2): 153-157, 2012 (July)  


2021 ◽  
Vol 5 (1) ◽  
pp. 72
Author(s):  
Zikra Agusti Humaira

<em>This research aims to determine the effect of Return On Equity (ROE) on Sharia Share Prices of the Property Sector Moderated by Corporate Social Responsibility (CSR). The population of this research is all property sector companies listed on the Indonesia Stock Exchange from 2011 to 2017. The research sample was taken using a purposive sampling method, so that a sample of 12 companies was obtained. The data analysis technique used is the panel data regression method which is a combination of cross section data and time series data using Eviews 7 software. The results of the analysis show Return On Equity (ROE) does not have a significant effect on the price of sharia shares in the property sector and Corporate Social Responsibility (CSR) is proven to strengthen the effect of ROE on the sharia stock price of the property sector. The findings of this study will be useful for relevant policy makers because disclosure of CSR in financial statements will provide positive sentiment that will increase investor confidence to invest.</em><br /><em><br /></em>Penelitin ini bertujuan untuk mengetahui pengaruh <em>Return On Equity</em> (ROE) Terhadap Harga Saham Syariah Sektor Properti Yang Dimoderasi Oleh <em>Corporate Social Responsibility</em> (CSR). Populasi penelitian ini adalah seluruh perusahaan sektor properti yang terdaftar di Bursa Efek Indonesia tahun 2011 hingga 2017. Sampel penelitian diambil menggunakan metode <em>purposive sampling</em>, sehingga diperoleh sampel sebanyak 12 perusahaan. Teknik analisis data yang digunakan adalah metode regresi data panel yang merupakan gabungan dari data <em>cross section</em> dan data <em>time series</em> dengan menggunakan software <em>Eviews 7</em>. Hasil analisis menunjukkan <em>Return On Equity </em>(ROE) tidak memiliki pengaruh yang signifikan terhadap harga saham syariah sektor properti dan <em>Corporate Social Responsibility </em>(CSR) terbukti memperkuat pengaruh ROE terhadap harga saham syariah sektor properti. Temuan penelitian ini akan bermanfaat bagi pengambil kebijakan terkait karena pengungkapkan CSR dalam laporan keuangan akan menjadi nilai yang akan menambah kepercayaan investor untuk melakukan investasi.<br /><strong>Kata Kunci : </strong>Harga Saham Sektor Properti, ROE, CSR


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hana Woldekidan Azmete ◽  
Kahsay Gerezihar Tsaedu

Purpose The purpose of this study is to empirically analyze if a bilateral trade between two countries leads to a foreign direct investment (FDI) using a time series data spanning over the period 2000–2017. Design/methodology/approach The Engle-Granger method of co-integration analysis is applied to the data to estimate if China’s export to Ethiopia led to an inflow of FDI from China to Ethiopia over the long run. Findings The results indicated that bilateral trade (import from China) is a major determinant of Chinese FDI inflow to Ethiopia over the study period. Originality/value A number of studies have been conducted on the determinants of FDI in Ethiopia using time series data at different points of time. However, none of them tried to analyze what attracts FDI from an individual country. Accordingly, this study has concentrated on FDI from China and its relation with bilateral trade between China and Ethiopia as China is the number one FDI source and trade partner of Ethiopia.


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