Employing the Cobb-Douglas Function Model to Examine How Input Allocation Affects Rice Production: In Search of Ways to Improve the Rice Farming Management

Year 2024, Volume: 34 Issue: 4, 584 - 595

Muslim Salam , Yulistyah Rustan , Rusli M. Rukka , Rahmadanih Rahmadanih , Rafiqah Maulidiyah , Ahmad Imam Muslim , Hamed Noralla Bakheet Ali , Muhammad Ridwan

https://doi.org/10.29133/yyutbd.1492753

Abstract

Agricultural production is a significant contributor to Indonesia's economy. Due to the fact that it is a staple food, rice is a crop that is extremely important to the agricultural sector of the country. The rice production in the Bantaeng Regency has had a consistent decline over the past five years, falling short of the set target. The phenomenon is believed to be attributed to several stages in the production process. Given this, our study objective was to determine the factors that impact rice production in the regency. The field survey for data collection was conducted at the beginning of 2023. The data was collected by the structured interview approach. Then, data analysis in the study was carried out using the Cobb-Douglas function model. The study showed that certain production factors, such as land area, pesticides, herbicides, land processing workers, and plant workers, had a substantial positive impact on rice production. Factors such as seeds, urea fertilizer, NPK fertilizer, maintenance labor, and harvesting labor have no effect on rice production. Rice producers can improve their rice growing practices to boost their rice production. These findings offer important perspectives and a roadmap toward improving rice production management. Variables such as land acreage, pesticides, herbicides, land processing workers, and plant workers should be considered as factors that can boost rice production in the future.

Keywords

Cobb-Douglas function, Factors of production, Productivity, Rice production, Rice farming

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