Indonesian people consume rice as their staple food, therefore rice farming is the main source of farming and livelihood for rural residents in Indonesia. Various policies that have been taken by the government to encourage increase in production and productivity of this commodity, but the results have not reached what was expected. This study aims to analyze the factors affecting income of rice farming in Indonesia. The data were analyzed using Multiple Linear Regression Analysis Model (MLRAM). As the results, it found that the significant factors affecting farmers’ income of rice farming in District Maros, South Sulawesi Province, Indonesia were productivity, selling prices, and production costs of the rice farming managed by an individual farmer. Then, the MLRAM is a good model in predicting the income of rice farming in the district. In general, these findings are a substantial indicator that imply the importance of improving farm management in order to increase productivity, stabilize selling prices and reduce production costs for rice commodity. By improving farm management, it is expected to encourage farmers to increase their income from rice farming specifically and encourage rural economic growth in Indonesia generally.
Rice is a commodity that holds a strategic position, and rice is also a strategic industry for the national economy. Marketing systems usually revolve around activities between suppliers of goods. In this case, the grain suppliers come from farmers. The process of marketing rice/grain from farmers will undergo a long process and will experience changes in prices from farmers to consumers. The study was conducted in Apala Village, Barebbo District, Bone Regency, South Sulawesi Province, Indonesia. The analysis used in this study is a qualitative and quantitative descriptive analysis using the marketing margin formula and marketing efficiency. The study results show that the margin in the first channel Rp. 3,933 with an efficiency level of 14.3% and a margin for the second channel of Rp. 3, 033 with an efficiency level of 12.4%. H al showed that both lines estab asaran have been efficient.
The aim of the study was to find out how strong the impact of intellectual capital, profitability and dividends is on the market capitalization of companies listed on the Indonesia Stock Exchange (IDX) and included in the LQ45 index from 2014 to 2018. The authors employ the multiple linear regression method. They measure the value of intellectual capital by the value added intellectual coefficient (VAIC ™), and the profitability -by return on assets (ROA) and return on equity (ROE). To calculate a dividend per share (DPS), they divide the annual dividend by the number of outstanding shares. The results of this study show that intellectual capital and return on assets (ROA) do not significantly affect the company's market capitalization, while return on equity (ROE) and dividends do. The authors conclude that by the level of efficiency and effectiveness of the company in capital management, one may see whether investors receive higher profits. Therefore, investors are more interested in companies that have a high level of dividend distribution.
Soybean self-sufficiency has become the government’s primary target since 2015 along with two other food commodities, namely rice, and corn. The UPSUS program (Special Efforts) is one of the efforts to support soybean self-sufficiency. Special Efforts (UPSUS) are the main program of the Ministry of Agriculture to improve the welfare of farmers. With the UPSUS, it is expected that soybean production will increase. This study aims to determine the relationship between soybean farmers’ responses to farm income. The population of the study was farmers who were involved in the UPSUS Pajale Program as many as 150 people using the purposive sampling method. The data analysis used in this study is Chi-Square analysis. Chi-Square is a statistical test that is used to test hypotheses if the population consists of two or more classes where the data is categorical. The results of the study concluded that there was no relationship between the response to the Pajale Special Effort Program (UPSUS) and the income obtained by farmers.
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