Analysis of factors influencing Thai rice trade based on Gravity model

The purpose of this study is to analyse what factors influencing Thai rice export including importers’ GDP, exporters of GDP, distance of the countries, international rice prices, production and exchange rates by using the gravity model approach. The results show that the factors that influence rice exports in Thailand include the GDP of the importing country, the GDP of the exporting country, distance, international rice prices, production and the real exchange rate. Factors that have positive coefficients are importers’ GDP and real exchange rates, while those with negative coefficients are exporters’ GDP, rice prices, production and distance. Positive coefficients include importer’s GDP and Real Exchange Rate. The GDP of the importing country has a positive coefficient of 0.73 and the real exchange rate or RER (Real Exchange Rate) has a positive coefficient of 0.73. In addition, the negative coefficient values include exporters’ GDP, rice prices, production and distance. The exporting country’s GDP has a negative coefficient of 0.98, prices have a negative coefficient of 1.37 and production has a negative coefficient of 0.23 and distance has a negative coefficient of 0.3.

Determination of Rice Prices to the Welfare of Petani in West Sumatra Province

The study aims to analyze the influence of rice production, crop dry grain prices (GKP), rice consumption, per capita income and the number of people moderated by rice prices that impact on farmers' well-being. This research method uses a quantitative approach with panel data. The study was conducted in West Sumatra Province in 19 districts / cities with secondary data from the Central Statistics Agency (BPS) of West Sumatra Province in 2013 - 2019. Data analysis uses multiple line regression with panel data.

Rice quality and its impacts on food security and sustainability in Bangladesh

Rice market efficiency is important for food security in countries where rice is a staple. We assess the impact of rice quality on rice prices, food security, and environmental sustainability in Bangladesh. We find that while price varies as expected for most quality attributes, it is unaffected by a broken percentage below 24.9 percent. This reveals a potential inefficiency, considering the average 5 percent broken rate observed in the market. An increase in the broken rate of milled rice within the limits supported by our findings can, ceteris paribus, increase rice rations by 4.66 million a year, or conversely, yield the current number of rice rations using 170.79 thousand fewer hectares and cutting emissions by 1.48 million metric tons of CO2 equivalent. Thus, producing rice based on quality assessment can improve food security and its sustainability.

IMPLEMENTATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) METHOD ON RICE PRICE PREDICTION IN LUBUKLINGGAU CITY

The problem behind this research is the imbalance between the capacity offered and the capacity demanded by the community, resulting in uncontrolled rice prices, so it is necessary to predict rice price in the future to monitor the stability of rice prices in the Lubuklinggau City area. In this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) method was used to predict future rice prices. The sample used in this study is data on rice price in Lubuklinggau City from January 2016 to December 2020. The result of the prediction of rice price in the Lubuklinggau City area for the next five years. With the accuracy value in rice price predictions based on MSE training, numely 99,9037% and based on the MSE test that is 99,8784%. While the accuracy values of rice price predictions based on MAPE training and testing are 93,2997% and 88,2782%, respectively. For the accuracy value of rice price prediction result based on the MSE and MAPE values respectively namely 99,8935% and 92,9212%. It can be concluded that the ANFIS method is very effectively used for the process of predicting a price or value in the future

Prospects and strategies for food exports from border areas: a case of West Kalimantan Province, Indonesia

Border areas can be a source of growth in food production in Indonesia. One of the provinces in the border areas having prospects as a source of food growth for export is West Kalimantan. This province has started to export food (mainly medium and special quality rice) to Malaysia via Sanggau district. However, food exports from the Kalimantan border are still in limited quantities and face several obstacles that have resulted in unsustainable food exports. This study aims to analyze the prospects and strategies for food exports (especially rice) from West Kalimantan border area. The study was conducted in September 2018 in three subdistricts of Sanggau District, namely Entikong, Sekayam, and Kembayan. Data were collected through focus group discussion, and SWOT analysis was employed. The results show that rice exports from the West Kalimantan border areas are in the Weakness-Opportunity (W-O) quadrant, indicating an opportunity to export but cannot yet be utilized because the existing strength is not enough to carry it out. The main opportunity is that the rice market actors are ready to export, while the main weakness is that the rice prices are not competitive with those from other exporting countries. The decision that can be taken is either (1) releasing existing opportunity and looking for other alternatives or (2) forcing them to work on this opportunity.

Factors affecting the demand for native chicken eggs in Surakarta City

Native chicken egg is one of the animal protein sources to meet the need for protein. This study analyzes what factors affect the demand for native chicken eggs in Surakarta City and examine the elasticity of demand for native chicken eggs in Surakarta City. The primary method of research is descriptive. This research was conducted in Harjodaksino Market, Jongke Market, Legi Market, Gede Market, dan Sangkrah Market. This study carried out the research location selection purposively and used 100 respondent end consumers of native chicken eggs. The data analysis method used is multiple linear regression. The result showed that factors that affect the demand for native chicken eggs in Surakarta City are native chicken eggs prices, laying hen eggs prices, duck egg prices, native chicken meat prices, broiler chicken meat prices, and rice prices. Price elasticity indicates that the demand for native chicken eggs is elastic. Cross elasticity showed that laying hen eggs, duck eggs, and native chicken meat are substitute goods for native chicken eggs. In contrast, broiler chicken meat dan rice is complementary good for native chicken eggs.

The implementation and synergy of Indonesian national food reserves

In aggregate, Indonesia’s national food reserves (rice) in early 2021 are adequate, as indicated by the stock to use ratio (SUR) reaching 25.16% above the FAO recommendation of 17‒18%, with the end of 2020 rice stock reaching 7.9 million tons from 29.3 million tons rice consumption needs. As mandated by Food Law 18/2012, Indonesia has established a multi-layered mechanism of national food reserves, consist of a central government food reserve, regional government food reserves (provincial, district/city, and village level), and community food reserves. This paper aims to examine the various implementation of Indonesia’s national rice reserves along with synergy recommendations to strengthen government, regional governments, and community’s food reserves. The approach used is descriptive qualitative analysis, by exploring information and secondary data across institutions with national and regional coverage. The results of the study show: (1) the need for an increase in Central Government Rice Reserves (CGRR) in the range of 1.5‒2 million tons accompanied by strengthening the mechanism to absorb farmers production of unhulled rice/rice to stabilize rice prices especially at the peak harvest time; (2) strengthening the intensity of advocacy and coordination amongst key-stakeholders in provincial and district/city to optimize the implementation of government food reserves area; and (3) strengthening and developing village-based community food barns through cooperation with the Strategic Command for Rice Mill Development (Kostraling) and Village Owned Enterprise (BUM Desa and BUM Desma).

2007–2012 Food Price Spikes and Crisis—A Decade and a Half Later

The food price crisis, which intermittently lasted from 2006 to about 2012–13, raised a number of issues about the roles of markets and states in ensuring food security at home and globally. This issue has arisen once again in 2020, as a result of COVID-19, undoing years of progress, but it is being resolved differently than the earlier crisis. There are fewer trade restrictions. Among the issues that the food price crisis raised was the domino effect of the US biofuel policies on maize, wheat, and rice prices in 2007–8, leading to a “perfect storm,” and policy responses of large exporters, leading to key debates about global interdependence, national vs. global objectives, and policy measures adopted by some countries—some of these debates have remained unresolved. Implications for the COVID-19 pandemic and the post-COVID-19 world are drawn in the chapter, regarding trade vs. stabilization, information systems, safety nets, and investment strategies.

PERMINTAAN DAGING SAPI DI PROVINSI RIAU

The husbandry sub-sector is a source of supporting energy for human needs, especially beef. Beef is a food commodity that has had an impact on improving public nutrition, especially animal protein. This study aims to analyze the development of beef demand and variables that influence it in Riau, the factors that influence beef demand in Riau Province, and the price elasticity, income elasticity, and cross elasticity of factors affecting meat demand beef in Riau Province. This research used the literature study. The data used in this research was data time series from 1999 to 2015. Data were analyzed using descriptive statistics, multiple linear regression, and elasticity. The results showed that the overall average development of beef demand, beef prices, chicken meat prices, rice prices, population income, and the population increased during the period. The factors that significantly influence the demand for beef were the price of beef and the price of rice. Meanwhile, the price of chicken meat, the income of the population, and the population had no significant to the demand for beef. The results of the elasticity calculation of demand showed that beef prices, rice prices, and population income were responsive to beef demand. This indicates that changes in beef prices, rice prices, and population income had a major impact on changes in demand for beef.