Sign inSubmit
ArticleMetrics
Research Article · Open access · Published 21 March 2017

Identifying Factors Influencing Production and Rice Farming Income with Approach of Path Analysis

Max Nur Alam1 & Effendy1

American Journal of Agricultural and Biological Sciences, Volume 12, Issue 1, pp. 39–43 · doi.org/10.3844/ajabssp.2017.39.43

9,003 accesses11,118 downloads7 citations (Crossref)Metrics
Cite Check for updates

Abstract

This research analyzes direct and indirect factors that potentially affected rice quality, rice price at the farmers' level, rice production and farming income. The target population in this research were farmers who farmed on rice land area ranging from 0.5 to 2.0 ha. A multistage, stratified cluster sampling was used in this research. This research employed a survey of 300 household heads, chosen randomly. Results showed that NPK fertilizers (Nitrogen, Phosphorus, Potassium), organic fertilizers and labor had a direct effect on rice production. Rice quality had a direct effect on its price at the farmers' level, while organic fertilizers and labor directly affected rice quality. Labor had a negative correlation to rice quality, showing that technologies were very much needed to improve. Rice price at the farmers' level and production had a direct effect on the income of rice farming, while the organic fertilizers had an indirect effect. These results have the potential to help the government and agricultural professionals design effective agricultural interventions to increase rice quality, price at the farmers’ level and production so that farming income could increase.

Licence and reuse

Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Alam, M. N. & Effendy, (2017). Identifying Factors Influencing Production and Rice Farming Income with Approach of Path Analysis. American Journal of Agricultural and Biological Sciences, 12(1), 39–43. https://doi.org/10.3844/ajabssp.2017.39.43

Licence
CC BY 3.0
Issue
Volume 12, Issue 1
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
Identifying Factors Influencing Production and Rice Farming Income with Approach of Path AnalysisAmerican Journal of Agricultural and Biological Sciences · Volume 12, Issue 1 · pp. 39–43 · CC BY 3.0Download