Journal
Willingness To Pay Organic Agricultural Products: Contingent Valuation Methods Approach
Economics Development Analysis Journal · Vol. 11 No. 1 (2022) · pp. 120–139
- 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-author | Organisation | Joint articles |
|---|---|---|
| Sucihatiningsih Dian Wisika Prajanti | State University of Semarang | 4 |
| Etty Puji Lestari | Affiliation unknown | 2 |
| Eko Handoyo | Affiliation unknown | 2 |
| Jarot Tri Bowo Santoso | Affiliation unknown | 1 |
| Neli Muna Amalia | Affiliation unknown | 1 |
| Moch Faizal Rachmadi | Affiliation unknown | 1 |
| Avi Budi Setiawan | Affiliation unknown | 1 |
| Medha Wardhany | Affiliation unknown | 1 |
| Walid Walid | State University of Semarang | 1 |
| Militcyano Samuel Sapulette | Australian National University | 1 |
| Teguh Santoso | Affiliation unknown | 1 |
| Bayu Kharisma | Affiliation unknown | 1 |
| Aurelia Puteri Arfita | Affiliation unknown | 1 |
| Efriyani Sumastuti | Affiliation unknown | 1 |
| Ika Indriasari | Affiliation unknown | 1 |
| Rusdarti Rusdarti | Affiliation unknown | 1 |
| Elvina Primayesa | Affiliation unknown | 1 |
| Muhammad Iqbal Al-Banna Ismail | Affiliation unknown | 1 |
| Sepandil Laras Lase | Affiliation unknown | 1 |
| Muhammad Khafid | Affiliation unknown | 1 |
| Diah Arumsasi | Affiliation unknown | 1 |
| ST Sunarto | Affiliation unknown | 1 |
| Muzayyanah Muzayyanah | Affiliation unknown | 1 |
| Nurul Arifah Wahyuni | Affiliation unknown | 1 |
| I’tishom Al Khoiry | Affiliation unknown | 1 |
| Wahyu Nugraheni S | Affiliation unknown | 1 |
| Tri Marhaeni PA | Affiliation unknown | 1 |
| Nur Ngaenah | Affiliation unknown | 1 |
| Bondan Lesmana | Affiliation unknown | 1 |
| Siti Fatimah | Affiliation unknown | 1 |
| Nurdian Susilowati | Affiliation unknown | 1 |
| Lesa Paranti | Affiliation unknown | 1 |
| Talitha Widiatningrum | Affiliation unknown | 1 |
| Christina Litaay | Affiliation unknown | 1 |
| Wandah Wibawanto | Affiliation unknown | 1 |
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.