BibTex Citation Data :
@article{DJOE29994, author = {Cendikia Himawan Tri Nugraha and Nugroho Sumarjiyanto Benedictus Maria}, title = {ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN PETANI PADI (Studi Kasus : Kecamatan Godong, Kabupaten Grobogan)}, journal = {Diponegoro Journal of Economics}, volume = {10}, number = {1}, year = {2021}, keywords = {Farmers’ Income, Capital, Land Area, and Labor}, abstract = { Godong Subdistrict is one of the riceproducing areas in Grobogan Regency, which has the title as a rice barn in Grobogan Regency with a potential crop level. study aims to determine the effect of land area, capital and labour on farmer’s income. The data used are primary data with a sample size of 98.90 rounded off to 100 farmers. This research used quantitative methods with multiple regression analysis methods. The results showed that the capital variable had a positive and insignificant effect on farmers' income in the fields. In contrast, the variables of land area and labour have a positive and significant effect on income in the rice fields in Godong District, Grobogan Regency. The coefficient of determination (R-square) is obtained at 0.288. The coefficient of R-square means that 28.8% of the dependent variable (income) can be explained by the independent variables, namely capital, land area, and labour. While the remaining 71.2% is explained by other variables outside the model used, such as factors of production, selling price, and the amount of production. }, issn = {2337-3814}, doi = {10.14710/djoe.29994}, url = {https://ejournal3.undip.ac.id/index.php/jme/article/view/29994} }
Refworks Citation Data :
Godong Subdistrict is one of the riceproducing areas in Grobogan Regency, which has the title as a rice barn in Grobogan Regency with a potential crop level. study aims to determine the effect of land area, capital and labour on farmer’s income. The data used are primary data with a sample size of 98.90 rounded off to
100 farmers. This research used quantitative methods with multiple regression analysis methods. The results showed that the capital variable had a positive and insignificant effect on farmers' income in the fields. In contrast, the variables of land area and labour have a positive and significant effect on income in the rice fields in Godong District, Grobogan Regency. The coefficient of determination (R-square) is obtained at 0.288. The coefficient of R-square means that 28.8% of the dependent variable (income) can be explained by the independent variables, namely capital, land area, and labour. While the remaining 71.2% is explained by other variables outside the model used, such as factors of production, selling price, and the amount of production.
Article Metrics:
Last update:
