Analysis of Areca Nut Production and Its Impact on Farmers' Income in Tanjung Jabung Barat Regency (A Case Study in Betara District)


International Research Journal of Economics and Management Studies
© 2025 by IRJEMS
Volume 4  Issue 6
Year of Publication : 2025
Authors : Hario Tutuko, Erni Achmad, Nurhayani, Zamzami, Rosmeli, Zainul Bahri
irjems doi : 10.56472/25835238/IRJEMS-V4I6P107

Citation:

Hario Tutuko, Erni Achmad, Nurhayani, Zamzami, Rosmeli, Zainul Bahri. "Analysis of Areca Nut Production and Its Impact on Farmers' Income in Tanjung Jabung Barat Regency (A Case Study in Betara District)" International Research Journal of Economics and Management Studies, Vol. 4, No. 6, pp. 51-62, 2025.

Abstract:

This study is entitled Analysis of Areca Nut Production and Its Impact on Farmers' Income in Tanjung Jabung Barat Regency (Case Study in Betara District). The objectives of this study are: 1) to analyze the effects of land area, capital, labor, and market price on the income of areca nut farmers in Betara District, Tanjung Jabung Barat Regency; and 2) to analyze strategies for increasing areca nut production that impact farmers' income in Betara District, Tanjung Jabung Barat Regency. The analytical tools used are multiple linear regression analysis and SWOT analysis. The results show that land area and market price have a positive and significant effect on the income of areca nut farmers. Conversely, capital and labor do not have a significant effect on the income of areca nut farmers in the Betara District. The most suitable strategy to increase areca nut production and farmers' income in Betara District is the SO strategy. This strategy involves optimizing fertile land and utilizing modern agricultural techniques in tropical climates, diversifying areca nut-based products to achieve higher selling values, and leveraging farmers' cooperatives to strengthen marketing efforts. Additionally, continuous training and extension services are necessary to improve farmers’ skills in managing plantations more productively and efficiently.

References:

[1] USDA. (2020). Sustainable agricultural productivity growth for food security. United States Department of Agriculture Report.
[2] Folio3. (2024). Drone technology for efficient irrigation management: A case study in California. Journal of Agricultural Innovation, 12(1), 45-53.
[3] Hutabarat, M. (2013). Pertanian berkelanjutan untuk kesejahteraan petani Indonesia. Jurnal Ekonomi Pertanian, 7(2), 123-135.
[4] Adamopoulos, T., & Restuccia, D. (2014). The size distribution of farms and international productivity differences. American Economic Review, 104(6), 1667-1697. https://doi.org/10.1257/aer.104.6.1667
[5] Dinas Perkebunan Jambi. (2021). Laporan produksi dan ekspor pinang Provinsi Jambi.
[6] OEC. (2023). Indonesia’s Areca Nut Exports and Global Market Trends. Observatory of Economic Complexity. https://oec.world/en/profile/hs92/areca-nuts
[7] Dinas Koperasi, Perindustrian dan Perdagangan Kabupaten Tanjung Jabung Barat. (2025). Data ekspor pinang 2019–2023.
[8] Dinas Perkebunan dan Peternakan Kabupaten Tanjung Jabung Barat. (2024). Jumlah petani pinang di Kecamatan Betara 2019-2023.
[9] Mongabay. (2020). Inovasi produk pinang di Kecamatan Betara meningkatkan pendapatan petani. Mongabay News. https://news.mongabay.com/id
[10] Noack, J., & Larsen, R. (2019). Land size and farm income: Empirical evidence from developing countries. Journal of Development Studies, 55(6), 1152-1167.
[11] Taylor, J. E. (2019). Scale economies and agricultural productivity: A case study. American Journal of Agricultural Economics, 101(3), 678-695.
[12] Baldric, S., Firdaus, S., & Wasilah, A. (2013). Manajemen biaya dan akuntansi biaya. Jakarta: Salemba Empat.
[13] Fuglie, K. O. (2012). Productivity Growth and Technology Capital in the Global Agricultural Economy. FAPRI-MU Report.
[14] Harahap, I., Hernawati, S., & Utami, W. (2016). The effect of skilled labor on agricultural income: Evidence from Indonesia. Asian Journal of Agriculture, 8(3), 210-218.
[15] Msuya, E. M., Mwaseba, D. L., & Mrosso, D. A. (2023). Price instability and its effects on smallholder farmers: Evidence from Tanzania. Agricultural Economics Review, 14(1), 89-102.
[16] Benjamin, C. (2005). Capital and agricultural productivity in developing countries. Journal of Agricultural Economics, 56(1), 1-15.
[17] David, F. R. (2006). Strategic management: Concepts and cases (11th ed.). Pearson Education.
[18] Brush, C. G., & Vanderwerf, P. A. (1992). A comparison of methods and sources for obtaining estimates of new venture performance. Journal of Business Venturing, 7(2), 157-170. https://doi.org/10.1016/0883-9026(92)90008-Y
[19] Dechow, P. M., & Skinner, D. J. (2000). Earnings management: Reconciling the views of accounting academics, practitioners, and regulators. Accounting Horizons, 14(2), 235-250.
[20] Taylor, J. E., & Adelman, I. (2003). Agricultural household models: Genesis, evolution, and extensions. Review of Economics of the Household, 1(1), 33-58.
[21] Supriyono, E. (2011). Manajemen biaya untuk pengambilan keputusan. Yogyakarta: BPFE.
[22] Scott, W. R. (2015). Financial accounting theory (7th ed.). Pearson.
[23] Rangkuti, F. (2013). Analisis SWOT teknik membedah kasus bisnis (Revisi). PT Gramedia Pustaka Utama.
[24] Morrison, C. J. (2020). Production economics: Theory with applications (2nd ed.). Springer.
[25] Kothari, S. P., Leone, A. J., & Wasley, C. E. (2005). Performance matched discretionary accrual measures. Journal of Accounting and Economics, 39(1), 163-197.
[26] Heizer, J. (2014). Operations management: Sustainability and supply chain management (11th ed.). Pearson.
[27] Kumbhakar, S. C., & Lovell, C. A. K. (2000). Stochastic frontier analysis. Cambridge University Press.
[28] Hansen, D. R., & Mowen, M. M. (2009). Management accounting (8th ed.). South-Western Cengage Learning.
[29] Zhao, L., Liu, G., & Wang, H. (2018). Cobb-Douglas production function and efficiency analysis in agriculture. Journal of Productivity Analysis, 49(2), 119-130.

Keywords:

Land Area, Capital, Labor, Market Price, Income, SWOT.