Melola Discovery

← Melola Discovery

Journal

Willingness To Pay Organic Agricultural Products: Contingent Valuation Methods Approach

Economics Development Analysis Journal · Vol. 11 No. 1 (2022) · pp. 120–139

DOI
10.15294/edaj.v11i1.55515
ISSN
2252-6560
Published
2022-04-09
Publisher
Economics Development Department, Universitas Negeri Semarang, Indonesia
Language
eng

Abstract

The objective of this study is to analyze the value of Willingness to Pay (WTP) of eco-friendly agricultural products and the factors that influence it. The analytical method used was the contingent valuation method (CVM) and logistic regression analysis. The results show that the total number of WTP in West Java is IDR 620,000, meaning that there will be an additional value of eco-friendly agricultural products by 620,000 for each sale. Then, the total number of WTP in Central Java is IDR 580,000 and then the total number of WTP in East Java is IDR 532,000. Based on the results of the logistic regression estimation, it shows that the variables that have a significant effect on the willingness to pay for eco-friendly agricultural products in West Java include gender, education, marital status, number of family dependents, income, and concern for the environment. Based on the results of the logistic regression estimation, it shows that the variables that have a significant effect on the willingness to pay for eco-friendly agricultural products in Central Java include age, education, number of family dependents, income, and price. Based on the results of the logistic regression estimation, it shows that the variables that have a significant effect on the willingness to pay for eco-friendly agricultural products in East Java include gender, education, marital status, number of family dependents, price, and concern for the environment.

Collaboration network of the authors

39 authors · 85 co-authorship links

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

  • State University of Semarang
  • Australian National University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sucihatiningsih Dian Wisika PrajantiState University of Semarang4
Etty Puji LestariAffiliation unknown2
Eko HandoyoAffiliation unknown2
Jarot Tri Bowo SantosoAffiliation unknown1
Neli Muna AmaliaAffiliation unknown1
Moch Faizal RachmadiAffiliation unknown1
Avi Budi SetiawanAffiliation unknown1
Medha WardhanyAffiliation unknown1
Walid WalidState University of Semarang1
Militcyano Samuel SapuletteAustralian National University1
Teguh SantosoAffiliation unknown1
Bayu KharismaAffiliation unknown1
Aurelia Puteri ArfitaAffiliation unknown1
Efriyani SumastutiAffiliation unknown1
Ika IndriasariAffiliation unknown1
Rusdarti RusdartiAffiliation unknown1
Elvina PrimayesaAffiliation unknown1
Muhammad Iqbal Al-Banna IsmailAffiliation unknown1
Sepandil Laras LaseAffiliation unknown1
Muhammad KhafidAffiliation unknown1
Diah ArumsasiAffiliation unknown1
ST SunartoAffiliation unknown1
Muzayyanah MuzayyanahAffiliation unknown1
Nurul Arifah WahyuniAffiliation unknown1
I’tishom Al KhoiryAffiliation unknown1
Wahyu Nugraheni SAffiliation unknown1
Tri Marhaeni PAAffiliation unknown1
Nur NgaenahAffiliation unknown1
Bondan LesmanaAffiliation unknown1
Siti FatimahAffiliation unknown1
Nurdian SusilowatiAffiliation unknown1
Lesa ParantiAffiliation unknown1
Talitha WidiatningrumAffiliation unknown1
Christina LitaayAffiliation unknown1
Wandah WibawantoAffiliation 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://journal.unnes.ac.id/sju/index.php/edaj/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Willingness To Pay Organic Agricultural Products: Contingent Valuation Methods Approach</dc:title>
	<dc:creator>dwp, sucihatiningsih</dc:creator>
	<dc:creator>Amelia, Dhea Rizky</dc:creator>
	<dc:creator>Pratama, Bayu Rizky</dc:creator>
	<dc:creator>Adzim, Fauzul</dc:creator>
	<dc:description xml:lang="en-US">The objective of this study is to analyze the value of Willingness to Pay (WTP) of eco-friendly agricultural products and the factors that influence it. The analytical method used was the contingent valuation method (CVM) and logistic regression analysis. The results show that the total number of WTP in West Java is IDR 620,000, meaning that there will be an additional value of eco-friendly agricultural products by 620,000 for each sale. Then, the total number of WTP in Central Java is IDR 580,000 and then the total number of WTP in East Java is IDR 532,000. Based on the results of the logistic regression estimation, it shows that the variables that have a significant effect on the willingness to pay for eco-friendly agricultural products in West Java include gender, education, marital status, number of family dependents, income, and concern for the environment. Based on the results of the logistic regression estimation, it shows that the variables that have a significant effect on the willingness to pay for eco-friendly agricultural products in Central Java include age, education, number of family dependents, income, and price. Based on the results of the logistic regression estimation, it shows that the variables that have a significant effect on the willingness to pay for eco-friendly agricultural products in East Java include gender, education, marital status, number of family dependents, price, and concern for the environment.</dc:description>
	<dc:publisher xml:lang="en-US">Economics Development Department, Universitas Negeri Semarang, Indonesia</dc:publisher>
	<dc:date>2022-04-09</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/edaj/article/view/55515</dc:identifier>
	<dc:identifier>10.15294/edaj.v11i1.55515</dc:identifier>
	<dc:source xml:lang="en-US">Economics Development Analysis Journal; Vol 11 No 1 (2022): Economics Development Analysis Journal; 120-139</dc:source>
	<dc:source>2252-6560</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/edaj/article/view/55515/21435</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Economics Development Analysis Journal</dc:rights>
</oai_dc:dc>