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Adoption of Sandy Coastal Farming Technology in Indonesia: A Household Economics Analysis

AGRARIS: Journal of Agribusiness and Rural Development Research · Vol. 11 No. 2 (2025) · pp. 295–316

DOI
10.18196/agraris.v11i2.814
ISSN
2527-9238, 2407-814X
Published
2025-12-31
Publisher
Universitas Muhammadiyah Yogyakarta
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Sandy coastal farming has become a crucial livelihood strategy in Indonesia's marginal coastal areas, yet technology adoption remains uneven across farmer households. This study examines how the economic behavior of farmer households influences the intensity of sandy coastal farming technology adoption and analyzes how changes in internal and external factors impact adoption, production, labor allocation, income, and expenditure. Using primary cross-sectional data from 196 farmer households in Bantul Regency, Yogyakarta, the study applies an integrated household economic model estimated as a system of simultaneous equations using the Two-Stage Least Squares method. Technology adoption is represented through the allocation of cultivated land and the use of soil-improving inputs, allowing for the examination of adoption intensity within a unified household decision framework. The results show that adoption intensity is primarily driven by household income and family labor availability, with cultivated area acting as a key transmission channel linking income to input use and production outcomes. Higher returns from sandy coastal farming induce substitution toward hired labor rather than proportional increases in family labor. Simulation results indicate that output price incentives strengthen adoption through income and scale effects, while reductions in irrigated land weaken adoption by tightening household resource constraints. These findings underscore the significance of income stability and access to resources in maintaining high adoption intensity in marginal land systems.

Keywords

Collaboration network of the authors

40 authors · 93 co-authorship links · 25 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Jambi
  • IPB University
  • Universitas Halu Oleo
  • Universitas Islam Negeri Sulthan Thaha Saifuddin Jambi
  • Universidad de Málaga
  • Jazan University
  • Universiti Brunei Darussalam
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Riris ArdhanariswariAffiliation unknown3
Muhammad YusufUniversitas Halu Oleo3
Dian Arisandy Eka Putra SembiringAffiliation unknown3
Hariyanto HariyantoAffiliation unknown2
Robi HendraAffiliation unknown2
Lely MardiyantiAffiliation unknown2
A Faroby FalatehanAffiliation unknown2
Astri ErvianaAffiliation unknown1
Sri MulatsihAffiliation unknown1
Dhoriva Urwatul WutsqaAffiliation unknown1
Pusparani Puan PrihastutiAffiliation unknown1
Endang ListyaniAffiliation unknown1
Mohd Afifi Bahurudin SetambahSultan Idris Education University1
Ahmad RidwanUniversitas Islam Negeri Sulthan Thaha Saifuddin Jambi1
Robi HendraUniversitas Jambi1
Francisco D. Guillén‐GámezUniversidad de Málaga1
Turki Mesfer AlqhataniJazan University1
Lalu Nurul YaqinUniversiti Brunei Darussalam1
Suharno SuharnoCenderawasih University1
Khoiru Rizqy RambeAffiliation unknown1
Rahayu PristiwatiAffiliation unknown1
Tommi YuniawanAffiliation unknown1
Fathimah AzzahroAffiliation unknown1
Rozlinda Mohamed FadzilAffiliation unknown1
Ardhi PrabowoAffiliation unknown1
Noor Taufiq SalehAffiliation unknown1
Hansein Arif WijayaAffiliation unknown1
Yusuf -Affiliation unknown1
Ahmad RidhaInstitut Agama Islam Negeri Kendari1
Bunga Ayu WulandariAffiliation unknown1
Robi SomaAffiliation unknown1
Hansein Arif WijayaAffiliation unknown1
Roslidar RoslidarUniversitas Syiah Kuala1
Fajrul IslamyAffiliation unknown1
Indra SaktiAffiliation unknown1
Dadang KomaraAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://agraris.umy.ac.id/index.php/agraris/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Adoption of Sandy Coastal Farming Technology in Indonesia:  A Household Economics Analysis</dc:title>
	<dc:creator>Fauzan, Muhammad</dc:creator>
	<dc:creator>Syaukat, Yusman</dc:creator>
	<dc:creator>Kusnadi, Nunung</dc:creator>
	<dc:creator>Baga, Lukman Mohammad</dc:creator>
	<dc:subject xml:lang="en-US">Farmer household economics</dc:subject>
	<dc:subject xml:lang="en-US">Labor allocation</dc:subject>
	<dc:subject xml:lang="en-US">Sandy coastal farming</dc:subject>
	<dc:subject xml:lang="en-US">Simulation analysis</dc:subject>
	<dc:subject xml:lang="en-US">Technology adoption</dc:subject>
	<dc:description xml:lang="en-US">Sandy coastal farming has become a crucial livelihood strategy in Indonesia's marginal coastal areas, yet technology adoption remains uneven across farmer households. This study examines how the economic behavior of farmer households influences the intensity of sandy coastal farming technology adoption and analyzes how changes in internal and external factors impact adoption, production, labor allocation, income, and expenditure. Using primary cross-sectional data from 196 farmer households in Bantul Regency, Yogyakarta, the study applies an integrated household economic model estimated as a system of simultaneous equations using the Two-Stage Least Squares method. Technology adoption is represented through the allocation of cultivated land and the use of soil-improving inputs, allowing for the examination of adoption intensity within a unified household decision framework. The results show that adoption intensity is primarily driven by household income and family labor availability, with cultivated area acting as a key transmission channel linking income to input use and production outcomes. Higher returns from sandy coastal farming induce substitution toward hired labor rather than proportional increases in family labor. Simulation results indicate that output price incentives strengthen adoption through income and scale effects, while reductions in irrigated land weaken adoption by tightening household resource constraints. These findings underscore the significance of income stability and access to resources in maintaining high adoption intensity in marginal land systems.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Yogyakarta</dc:publisher>
	<dc:date>2025-12-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://agraris.umy.ac.id/index.php/agraris/article/view/814</dc:identifier>
	<dc:identifier>10.18196/agraris.v11i2.814</dc:identifier>
	<dc:source xml:lang="en-US">AGRARIS: Journal of Agribusiness and Rural Development Research; Vol. 11 No. 2: July-December 2025; 295-316</dc:source>
	<dc:source>2527-9238</dc:source>
	<dc:source>2407-814X</dc:source>
	<dc:source>10.18196/agraris.v11i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://agraris.umy.ac.id/index.php/agraris/article/view/814/211</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 AGRARIS: Journal of Agribusiness and Rural Development Research</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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