Causality and Asymmetric Price Transition of Rice Price by Distribution Stage

2021 ◽  
Vol 38 (4) ◽  
pp. 21-41
Author(s):  
Hanul Park ◽  
Jongin Kim ◽  
Kyungsoo Nam
Keyword(s):  
Rice Price

scholarly journals The Walfare of Local Farmers, Rice Price Policy, and Distribution Process in Improving Food

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Nuzul Rahayu Nita
Keyword(s):  
Food Security ◽  
Price Policy ◽  
Adequate Food ◽  
Rice Price ◽  
Distribution Process ◽  
Food Economy ◽  
Method Approach ◽  
Descriptive Method ◽  
Economy System ◽  
Local Farmers

Food security is an integrated food economy system consisting of various subsystems (Suryana, 2003). Food security contains at least two basic elements, namely the availability of adequate food and the accessibility of the community to adequate food, where both elements are absolutely fulfilled in order to achieve the health and welfare of society. This paper presents a review of grain price policy and distribution access in analyzing the welfare of local farmers and their impact on food security in Tanggulangin, Indonesia. This research uses descriptive method approach. Using interview with source from food security departement. The results of the analysis indicate that the food welfare factors do not have a significant effect on food security in the surplus food sub-district. While access factor and also policy of food price policy give significant influence to food security and welfare of farmers in subdistrict with surplus of food in 2014. The result of this study are important to see the developtment food security in surplus food security areas.

scholarly journals Kinerja Rantai Pasok, Dinamika, dan Pembentukan Harga Beras di Jawa Tengah

2019 ◽  
Vol 17 (1) ◽  
pp. 39
Author(s):  
NFN Saptana ◽  
Erma Suryani ◽  
Emmy Darmawati
Keyword(s):  
Supply Chain ◽  
Conversion Rate ◽  
Milling Process ◽  
Rice Production ◽  
Production Performance ◽  
Central Java ◽  
Rain Season ◽  
Rice Price ◽  
Rice Prices ◽  
Rice Milling

<p>Rice supply chain from producers to consumers in Central Java Province is relatively extensive and it affects rice price establishment. This study aimed to assess rice production performance, dried paddy (GKG) conversion rate into rice, rice supply chain, dynamics of rice prices among seasons and markets, and rice price establishment. This research was conducted in 2018 in rice producing centers in Central Java, namely Sragen, Klaten and Demak Regencies. This province had a rice production surplus and it was marketed mostly to West Java and Jakarta provinces. Conversion rate from paddy to rice varies between 60-65% or an average of 62.74% depending on varieties grown, drying process, and harvesting machine condition. In general, there are six to seven actors in the rice supply chain. During the main harvest in rainy season, paddy and rice prices usually dropped due to abundant supply. However, during the harvest in rain season in 2017/2018, paddy and rice prices remained high. This case indicated that paddy and rice prices establishment were more determined by supply side. It can be concluded that shorten the rice supply chain will increase paddy price at farm level and reduce rice price at consumer level. To shorten the rice supply chain effectively, it is recommended that rice milling process to be done at the milling industry.</p><p> </p><p>Abstrak</p><p>Rantai pasok beras di Jawa Tengah dari tingkat produsen hingga konsumen masih cukup panjang. Kondisi ini berpengaruh pada pembentukan harga beras. Tujuan penelitian adalah untuk mengkaji kinerja produksi padi, besaran rendemen gabah kering giling (GKG) menjadi beras, kinerja rantai pasok gabah dan beras, dinamika harga beras antar musim dan pasar, dan pembentukan harga beras pada setiap tingkatan pelaku rantai pasok beras. Penelitian dilakukan tahun 2018 di lokasi sentra produksi padi Provinsi Jawa Tengah yaitu Kabupaten Sragen, Klaten, dan Demak. Hasil kajian menunjukkan provinsi ini menghasilkan surplus beras yang dipasarkan terutama ke Jawa Barat dan Jakarta. Tingkat rendemen GKG menjadi beras bervariasi antara 60-65% atau rata-rata 62,74% tergantung varietas, proses pengeringan, dan kondisi mesin panen. Rantai pasok beras cukup panjang, sebanyak enam sampai tujuh pelaku. Sesuai pola yang umum dikenal, pada musim panen raya pada musim hujan (MH) harga gabah dan beras turun, namun pada musim panen raya MH 2017/2018 harga pangan ini tetap tinggi. Hal ini disebabkan pembentukan harga gabah dan beras lebih ditentukan oleh aspek pasokan dibandingkan aspek permintaan. Dari hasil penelitian ini disimpulkan pemangkasan rantai pasok gabah dan beras dari petani produsen ke konsumen dapat meningkatkan harga gabah di tingkat petani dan menurunkan harga beras di tingkat konsumen. Agar upaya pemotongan rantai pasok berjalan efektif, maka penggilingan gabah menjadi beras sebaiknya dilakukan di industri penggilingan padi.</p>

The Analysis of Structural Change and Volatility of Rice Price in Producing Stage

2020 ◽  
Vol 37 (4) ◽  
pp. 47-70
Author(s):  
Yongjun Heo ◽  
Seonghyeok Hwang ◽  
Sungku Kwon
Keyword(s):  
Structural Change ◽  
Rice Price

SPATIAL ANALYSIS OF PADDY RICE PRICE VARIABILITY IN DASS AND TAFAWA BALEWA LGAS OF BAUCHI STATE, NIGERIA

2021 ◽  
pp. 31-42
Keyword(s):  
Spatial Analysis ◽  
Spatial Variation ◽  
Paddy Rice ◽  
T Test ◽  
Price Transmission ◽  
Capital Outlay ◽  
Price Variation ◽  
Price Variability ◽  
Rural Markets ◽  
Rice Price

The study was conducted on the spatial analysis of paddy rice (Oryza sativa) price variability in Dass and Tafawa Balewa LGAs of Bauchi State, Nigeria. Data were collected using questionnaires administered to 120 respondents sampled through random sampling technique. Secondary data were also collected from BSADP Bauchi on monthly prices of paddy rice. Data were analyzed using descriptive statistics (mean, frequency, ranking and likert scale), pearson product correlation, T-test and ratio to moving average model. It was revealed that the leading causes of spatial rice price variability were spatial variation in supply, high cost of transportation and inadequate market information. There was existence of price integration or perfect price transmission between and among the urban and rural markets during the period of study. The magnitude of paddy rice price variability in the rural markets were higher, and the t-test shows that there was a significant (P < 0.05) difference in price of paddy rice between rural and urban markets. Spatial variation in supply, bad road condition, seasonal variation in supply, inadequate contact with extension agents and low capital outlay were the major constraints militating against paddy rice marketing in the study area. Therefore, it is recommended that Rural feeder roads should be constructed by government, NGOs or individuals to enable easy movement of produce as well as all year round production/supply of rice should be encouraged through provision of fund and inputs by relevant stakeholders to farmers for dry season farming in order to curtail the problem of price variation due to seasonality in production.

Forecasting Models Based on Data Analytics for Predicting Rice Price Volatility: A Case Study of the Sri Lankan Rice Market

2019 ◽  
Vol 18 (01) ◽  
pp. 1950006 ◽  
Author(s):  
Chanchala Hathurusingha ◽  
Neda Abdelhamid ◽  
David Airehrour
Keyword(s):  
Price Volatility ◽  
Economic Factors ◽  
Sri Lankan ◽  
Price Variation ◽  
Rice Market ◽  
Rice Price ◽  
Relationship Of ◽  
The Relationship ◽  
Viable Mechanism

Paddy rice is a staple food that is common among the Sri Lankan populace. However, the frequent price variation of rice has negatively impacted the Sri Lankan economy. This is due to the Sri Lankan rice market lacking the mechanisms to evaluate and predict future rice price variations, often leaving domestic traders and consumers affected by sudden price spikes. This study identifies the quantifiable economic factors that affect the sudden rice price variations and presents a viable mechanism for forecasting Domestic Rice Price (DRP). In addition, it establishes three different regression models to emphasise the relationship of DRP in Sri Lanka with three economic factors: International Rice Price (IRP), International Crude Oil Price (ICOP), and USD Exchange Rate. Further, a time series model is formulated to forecast future variations in DRP while advancing factors that have a significant, but negative, correlative impact on the DRP. The results presented in this study show that the models proposed can be used by relevant food authorities to predict sudden hikes and dips in DRP, allowing them to establish a robust price control system.

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