Widyastutik Widyastutik, Mimin Aminah, Dian Verawati Panjaitan, Eko Ruddy Cahyadi

The Role of Fertilizer Subsidies in Rice Productivity and Profitability: Evidence from Indonesian Smallholder Farmers

Introduction

The role of fertilizer subsidies in rice productivity and profitability: evidence from indonesian smallholder farmers. Explore fertilizer subsidies' impact on Indonesian smallholder rice farmers' productivity and profitability. Micro-level data suggests targeted, quantity-based schemes and improved distribution efficiency.

Abstract

Research Originality: This study provides micro-level evidence on the dual effects of fertilizer subsidies on rice farmers’ production and profitability, a dimension rarely examined simultaneously at the household level in Indonesia. Using data from two contrasting rice-producing regions, the study isolates subsidy effects on both physical output and farm profit while controlling for input costs and price conditions. Research Objectives: To analyze the effects of fertilizer subsidies on rice production and farm profit in Karawang (West Java) and Lombok (West Nusa Tenggara). Research Methods: OLS regression was applied to cross-sectional data from 51 rice-farming households. Two models were estimated: a production function and a profit function. Empirical Results: Fertilizer quantity, land size, and labor positively influence rice production. Farm profit is significantly affected by production quantity, rice price, total cost, and pesticide cost. Fertilizer cost is not a significant determinant of profit. Implications: Fertilizer quantity, not cost, drives production. Subsidies should be maintained but reoriented toward targeted, quantity-based schemes and improved distribution efficiency to maximize welfare impact. JEL Classification: Q12, Q18, D24, I32

Review

This study offers a timely and relevant contribution to the ongoing policy discourse surrounding agricultural subsidies in developing economies, specifically focusing on rice production in Indonesia. The authors aim to fill a critical gap by providing micro-level evidence on the dual effects of fertilizer subsidies on both rice productivity and farm profitability—a dimension often overlooked or not examined simultaneously at the household level. By employing OLS regression on cross-sectional data from two geographically distinct rice-producing regions (Karawang and Lombok), the research design attempts to isolate subsidy impacts while controlling for essential variables like input costs and market prices through the estimation of separate production and profit functions. This approach is commendable for its ambition to provide a nuanced understanding of a complex policy instrument. The empirical results present several noteworthy findings. Consistent with economic theory, fertilizer quantity, land size, and labor significantly and positively influence rice production. More interestingly, while production quantity, rice price, total cost, and pesticide cost are significant determinants of farm profit, fertilizer *cost* itself is not found to be a significant factor. This divergence between the impact of fertilizer *quantity* on production and *cost* on profit is crucial. The implications drawn are that fertilizer quantity, rather than its cost, is the primary driver of production, leading to the recommendation that subsidies should be maintained but reoriented. Specifically, the study advocates for more targeted, quantity-based schemes and improved distribution efficiency to maximize their welfare impact, aligning with broader goals of sustainable agricultural development and farmer well-being. While the study provides valuable initial insights, a few considerations emerge. The sample size of 51 households, though carefully selected from contrasting regions, is relatively small for drawing broad generalizations about "Indonesian smallholder farmers" and may limit the statistical power and robustness of the OLS estimates, particularly when analyzing complex economic relationships. Furthermore, the cross-sectional nature of the data inherently restricts the ability to establish strong causal inferences, a common challenge in agricultural economics research. Future work would benefit immensely from larger, representative samples, panel data analysis to track changes over time, or quasi-experimental designs to more rigorously evaluate the causal impact of subsidy variations. Despite these methodological limitations, the research successfully highlights the intricate interplay between input subsidies, production outcomes, and farmer profitability, offering a valuable foundation for subsequent, more extensive investigations and informing policy adjustments aimed at enhancing the effectiveness and equity of agricultural support programs.

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