Mapping Leading Plantation Commodities through Comparative and Competitive Advantage Analysis in South Lampung Regency

Rizky Augia; Teguh Endaryanto; Novi Rosanti; Wan Abbas Zakaria

doi:10.14710/agrisocionomics.v10i2.27482

DOI: https://doi.org/10.14710/agrisocionomics.v10i2.27482

Mapping Leading Plantation Commodities through Comparative and Competitive Advantage Analysis in South Lampung Regency

Rizky Augia - Departmen of Agribusiness, University of Lampung, Jl. Prof. Sumantri Brojonegoro No.1, Gedong Meneng, Bandar Lampung, Indonesia., Indonesia

*Teguh Endaryanto

- Departmen of Agribusiness, University of Lampung, Jl. Prof. Sumantri Brojonegoro No.1, Gedong Meneng, Bandar Lampung, Indonesia., Indonesia

Novi Rosanti - Departmen of Agribusiness, University of Lampung, Jl. Prof. Sumantri Brojonegoro No.1, Gedong Meneng, Bandar Lampung, Indonesia., Indonesia

Wan Abbas Zakaria

- Departmen of Agribusiness, University of Lampung, Jl. Prof. Sumantri Brojonegoro No.1, Gedong Meneng, Bandar Lampung, Indonesia., Indonesia

under http://creativecommons.org/licenses/by-sa/4.0.

BibTex Citation Data :

@article{Agrisocionomics27482,
    author = {Rizky Augia and Teguh Endaryanto and Novi Rosanti and Wan Zakaria},
    title = {Mapping Leading Plantation Commodities through Comparative and Competitive Advantage Analysis in South Lampung Regency},
    journal = {Agrisocionomics: Jurnal Sosial Ekonomi Pertanian},
  volume = {10},
    number = {2},
    year = {2026},
    keywords = {Economic shifts, economic structure, leading commodities, plantation},
    abstract = {This study aims to analyze the structure and economic shifts of the plantation subsector in South Lampung Regency to identify leading commodities. The study uses secondary data from the Central Bureau of Statistics and the Plantation Office of South Lampung Regency. The analysis covers seven plantation commodities spread across 17 subdistricts, comprising a total of 119 observation units. The analytical methods applied include Location Quotient (LQ) and Dynamic Location Quotient (DLQ) to identify base and prospective commodities; Localization Index (LI) and Specialization Index (SI) to assess commodity concentration and subdistrict distincstivness; and Shift Share Analysis (SSA) to evaluate growth, competitiveness, and net shift. The classification of commodity performance at each analytical stage is conducted using the Klassen Typology. The results reveal that 28 commodity–subdistrict units are categorized as base and prospective. Among them, oil palm in Katibung, and cocoa in both Kalianda and Penengahan, are identified as concentrated and distinctive commodities within their respective regions. Moreover, oil palm in Katibung and cocoa in Kalianda are recognized as fast-growing and highly competitive. Notably, oil palm in Katibung records the highest net shift value, positioning it as the leading commodity in the plantation subsector of South Lampung Regency.},
   issn = {2621-9778},  doi = {10.14710/agrisocionomics.v10i2.27482},
    url = {https://ejournal2.undip.ac.id/index.php/agrisocionomics/article/view/27482}
}

Citation Format:

Abstract

This study aims to analyze the structure and economic shifts of the plantation subsector in South Lampung Regency to identify leading commodities. The study uses secondary data from the Central Bureau of Statistics and the Plantation Office of South Lampung Regency. The analysis covers seven plantation commodities spread across 17 subdistricts, comprising a total of 119 observation units. The analytical methods applied include Location Quotient (LQ) and Dynamic Location Quotient (DLQ) to identify base and prospective commodities; Localization Index (LI) and Specialization Index (SI) to assess commodity concentration and subdistrict distincstivness; and Shift Share Analysis (SSA) to evaluate growth, competitiveness, and net shift. The classification of commodity performance at each analytical stage is conducted using the Klassen Typology. The results reveal that 28 commodity–subdistrict units are categorized as base and prospective. Among them, oil palm in Katibung, and cocoa in both Kalianda and Penengahan, are identified as concentrated and distinctive commodities within their respective regions. Moreover, oil palm in Katibung and cocoa in Kalianda are recognized as fast-growing and highly competitive. Notably, oil palm in Katibung records the highest net shift value, positioning it as the leading commodity in the plantation subsector of South Lampung Regency.

Fulltext Email colleagues

Keywords: Economic shifts, economic structure, leading commodities, plantation

Article Metrics:

Article Info

Section: Articles

Language : EN

In Vol 10, No 2 (2026): June 2026

Alaini, S., Rosanti, N., & Firdasari. (2025). Export Competitiveness of Indonesian Cocoa Derivative Products in Main Destination Countries. Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian Dan Agribisnis, 341–360. https://doi.org/10.31186/jagrisep.24.01.341-360
Amaliah, S., Tufail, D. N., & Kadri, M. K. (2020). Analisis Penentuan Komoditas Unggulan Subsektor Perkebunan Kecamatan Penajam, Kabupaten Penajam Paser Utara. Ruang, 6(2), 77–84. http://ejournal2.undip.ac.id/index.php/ruang/
Ambya, Fitriani, Zaini, M., & Bellapama, I. A. (2022). Sektor Pertanian untuk Pertumbuhan Ekonomi Regional Lampung. Journal of Food System and Agribusiness, 6, 102–111. https://doi.org/10.25181/jofsa.v6i1.2580
Augia, R., Endaryanto, T., & Rosanti, N. (2025a). Analisis Keunggulan Komparatif dan Kompetitif Komoditas Peternakan di Kabupaten Lampung Selatan. Jurnal Riset Rumpun Ilmu Hewani, 4(1), 35–51. https://doi.org/10.55606/jurrih.v4i1.4605
Augia, R., Endaryanto, T., & Rosanti, N. (2025b). Economic Structure and Economic Shift Analysis of Food Crop Commodities in South Lampung Regency. SEPA: Jurnal Sosial Ekonomi Pertanian Dan Agribisnis, 22(2), 274–288. https://doi.org/10.20961/sepa.v22i2.106172
Badan Pusat Statistik. (2023). Statistik Indonesia 2023. https://www.bps.go.id/id/publication/2023/02/28/18018f9896f09f03580a614b/statistik-indonesia-2023.html
Badan Pusat Statistik. (2024). Hasil Pencacahan Lengkap Sensus Pertanian 2023 Tahap II Provinsi Lampung. https://lampung.bps.go.id/id/publication/2024/10/25/b5c98d3fbe95ef5be9eeffc2/hasil-pencacahan-lengkap-sensus-pertanian-2023---tahap-2-provinsi-lampung-indikator-tujuan-pembangunan-berkelanjutan-serta-indikator-world-cencus-of-agriculture.html
Bungkuran, J., Masinambow, V. A. J., & Maramis, M. T. B. (2021). Analisis Peran Sektor Pertanian Terhadap Pertumbuhan Ekonomi Kabupaten Kepulauan Talaud. Jurnal Berkala Ilmiah Efisiensi, 21(2), 153–165. https://ejournal.unsrat.ac.id/v3/index.php/jbie/article/view/35751/33395
Casson, A., Muliastra, Y. I. K. D., & Obidzinski, K. (2014). Large-scale Plantations, Bioenergy Developments and Land Use Change in Indonesia (Working Paper 170). https://www.cifor-icraf.org/knowledge/publication/5434/
Daryanto, A., & Hafizrianda, Y. (2010). Model-model Kuantitatif untuk Perencanaan Pembangunan Ekonomi Daerah: Konsep dan Aplikasi. IPB Press
Khairiyakh, R., Irham, & Mulyo, J. H. (2015). Contribution of Agricultural Sector and Sub Sectors on Indonesian Economy. Ilmu Pertanian, 18(3), 150–159. DOI: https://doi.org/10.22146/ipas.10616
Marlina, L., Endaryanto, T., & Hijriani, A. (2021). Analisis Perubahan Penggunaan Lahan Pertanian Akibat Pembangunan Jalan Tol Berbasis Citra Satelit Di Kabupaten Lampung Selatan. Journal of Food System and Agribusiness, 5(1), 11–18. https://doi.org/10.25181/jofsa.v5i1.1717
Milla, A. N., Marina, I., Andayani, S. A., Sandora, N. S., Yunus, Muh., & Mitra, Y. (2023). Keunggulan komparatif dan kompetitif usahatani bawang merah berbasis wilayah dan musim. AGROMIX, 14(1), 20–27. https://doi.org/10.35891/agx.v13i2.3320
Muslih, A. M., Zakaria, W. A., & Kasymir, E. (2013). Faktor-Faktor yang Mempengaruhi Ekspor CPO Provinsi Lampung. Jurnal Ilmu-Ilmu Agribisnis, 1(2), 92–97. http://dx.doi.org/10.23960/jiia.v1i2.234
Oktavia, H., Hanani, N., & Suhartini, S. (2016). Peran Sektor Pertanian dalam Pembangunan Ekonomi di Provinsi Jawa Timur (Pendekatan Input-Output). HABITAT, 27(2), 72–84. https://doi.org/10.21776/ub.habitat.2016.027.2.9
Pratinda, W. N. A. S., & Harta, R. (2021). Analisis Kinerja Ekspor Subsektor Perkebunan Indonesia dan Pandemi Covid-19. Jurnal Ekonomi Dan Kebijakan Pembangunan, 10(2), 114–133. https://doi.org/10.29244/jekp.10.2.2021.114-133
Puspitasari, N., Farihah, A. M., & Mufidah, S. N. S. (2023). Resiko Globalisasi di Masyarakat dalam Sekotr Pertanian Menurut Perspektif Anthony Giddens. TUTURAN: Jurnal Ilmu Komunikasi, Sosial Dan Humaniora, 1(2), 245–262. https://doi.org/10.47861/tuturan.v1i2.259
Putri, D. I., Fajeri, H., & Hamdani. (2024). Analysis of Leading Commodities of Plantation Sub-Sectors in Tanah Laut District, South Kalimantan Province. European Journal of Agriculture and Food Sciences, 6(5), 62–66. https://doi.org/10.24018/ejfood.2024.6.5.861
Rahimi, J., Haas, E., Scheer, C., Grados, D., Abalos, D., Aderele, M. O., Blicher-Mathiesen, G., & Butterbach-Bahl, K. (2024). Aggregation of Activity Data on Crop Management Can Induce Large Uncertainties in Estimates of Regional Nitrogen Budgets. Npj Sustainable Agriculture, 2(7), 1–10. https://doi.org/10.1038/s44264-024-00015-3
Ramadhani, F., Kasimin, S., & Arida, A. (2021). Analisis Kontribusi Subsektor Perkebunan Terhadap Pertumbuhan Ekonomi Provinsi Sumatera Utara. Jurnal Ilmiah Mahasiswa Pertanian, 6(2), 9–17. https://badge.dimensions.ai/details/doi/10.17969/jimfp.v6i2.16719?domain=https://jim.usk.ac.id
Taffesse, S., & Tsakok, I. (2019). Agricultural Transformation and Inclusive Growth: The Malaysian Experience. http://bit.ly/WB_blogsMY
Tarigan, R. (2005). Ekonomi Regional: Teori dan Aplikasi. PT Bumi Aksara
Wahyudi, A., Tan, S., & Hidayat, M. S. (2022). Strategi pengembangan perkebunan kelapa sawit di Provinsi Jambi. Jurnal Paradigma Ekonomika, 17(1), 31–44. https://doi.org/10.22437/jpe.v17i1.10744
Wahyudin, Tan, S., Junaidi, Zulgani, & Zevaya, F. (2024). Dynamic Model in Analyzing Indonesia’s Agricultural Sector’s Macroeconomic Performance. Journal of Infrastructure, Policy and Development, 8(8). https://doi.org/10.24294/jipd.v8i8.5661
Wang, L. (2021). Data Driven Explanation of Temporal and Spatial Variability of Maize Yield in the United States. Frontiers in Plant Science, 12(701192). https://doi.org/10.3389/fpls.2021.701192
Widodo, T. (2006). Perencanaan Pembangunan: Aplikasi Komputer (Era Otonomi Daerah). UPP STIM YKPN
Zahid, A., Susetyo, B., & Hermawan, E. (2019). Analisis Komparatif Wilayah Basis Pertanian di Kabupaten Bogor Berbasis WEBGIS. SEMNATI (Seminar Nasional Teknologi Informasi), 154–162

Last update:

No citation recorded.

Last update:

No citation recorded.

under http://creativecommons.org/licenses/by-sa/4.0.

Starting from 2021, the author(s) whose article is published in the Agrisocionomics journal attain the copyright for their article. By submitting the manuscript to Agrisocionomics, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that:

Their article is original, written by the mentioned author(s),
Has never been published before,
Does not contain statements that violate the law, and
Does not violate the rights of others, is subject to copyright held exclusively by the author(s), and is free from the rights of third parties, and that the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

Copyright and other proprietary rights related to the article, such as patents,
The right to use the substance of the article in its own future works, including lectures and books,
The right to reproduce the article for its own purposes,
The right to archive all versions of the article, and
The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal.

If the article was prepared jointly by more than one author, each author submitting the manuscript warrants that they have been given permission by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agree to notify the co-authors of the terms of this policy. Agrisocionomics will not be held responsible for anything that may arise because of the writer's internal dispute. Agrisocionomics will only communicate with correspondence authors.

Authors should also understand that once published, their articles (and any additional files, including data sets, and analysis/computation data) will become publicly available. The license of published articles (and additional data) will be governed by the Creative Commons Attribution license as currently featured on the Creative Commons Attribution-ShareAlike 4.0 International License. Agrisocionomics allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and Agrisocionomics to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.