Journal
Analysis of Willingness to Pay Integrated Waste Management
Efficient: Indonesian Journal of Development Economics · Vol. 2 No. 2 (2019) · pp. 461–468
- ISSN
- 2655-318X, 2655-6197
- Published
- 2019-06-01
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
Waste volume in Semarang City increases every year. Local Regulation Number 6 Year 2012 forces households to reduce waste through 3R. 83% pre-survey citizens in West Semarang District have not done it yet. It needs an improvement on waste management. The purpose of this research is to know the citizen’s willingness to pay rate of West Semarang District on waste management improvement and to analyze the factors affecting willingness to pay. The data used in this research is Primary Data. The population in this research is 100 households in West Semarang District. Data collection method is using interview. Data analysis method is using Contingent Valuation Method and multiple linear regression. The result shows that 68 respondents are willing to pay and 32 respondents are not. The amount of willingness to pay is Rp16.838. Influencing factors of willingness to pay are education level and staying duration. The recommendation of this research is the higher willingness to pay should be followed by better management service. Citizens can improve willingness to pay by having higher education level so that they realize the importance of maintaining environment. To increase willingness to pay, the higher family members the more they should have a good knowledge so that their perception about the payment based on head of the family will decrease. Volume sampah di Kota Semarang meningkat setiap tahun. Peraturan Daerah Nomor 6 Tahun 2012 memaksa rumah tangga untuk mengurangi limbah melalui 3R. 83% warga pra-survei di Kabupaten Semarang Barat belum melakukannya. Perlu perbaikan dalam pengelolaan limbah. Tujuan dari penelitian ini adalah untuk mengetahui kesediaan warga untuk membayar tarif Kabupaten Semarang Barat pada peningkatan pengelolaan limbah dan untuk menganalisis faktor-faktor yang mempengaruhi kesediaan untuk membayar. Data yang digunakan dalam penelitian ini adalah Data Primer. Populasi dalam penelitian ini adalah 100 rumah tangga di Kabupaten Semarang Barat. Metode pengumpulan data menggunakan wawancara. Metode analisis data menggunakan Metode Contingent Valuation dan regresi linier berganda. Hasilnya menunjukkan bahwa 68 responden bersedia membayar dan 32 responden tidak. Jumlah kemauan untuk membayar adalah Rp16.838. Faktor-faktor yang mempengaruhi kemauan untuk membayar adalah tingkat pendidikan dan durasi tinggal. Rekomendasi dari penelitian ini adalah semakin tinggi kesediaan untuk membayar harus diikuti oleh layanan manajemen yang lebih baik. Warga dapat meningkatkan kemauan untuk membayar dengan memiliki tingkat pendidikan yang lebih tinggi sehingga mereka menyadari pentingnya menjaga lingkungan. Untuk meningkatkan kemauan membayar, semakin tinggi anggota keluarga semakin mereka harus memiliki pengetahuan yang baik sehingga persepsi mereka tentang pembayaran berdasarkan kepala keluarga akan berkurang.
Collaboration network of the authors
30 authors · 52 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Adzkia
- 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 |
|---|---|---|
| Amin Pujiati | Affiliation unknown | 1 |
| Reza Nadya Isabella Putri | Affiliation unknown | 1 |
| Ferdian Adi Cristanto | Affiliation unknown | 1 |
| Rahma Yuniarti | Affiliation unknown | 1 |
| Yuni Ariyanti | Affiliation unknown | 1 |
| Wijang Sakitri | Affiliation unknown | 1 |
| Devina Rahmayanti | Affiliation unknown | 1 |
| Nailatul Hidayah | Affiliation unknown | 1 |
| Ernawati Ernawati | Affiliation unknown | 1 |
| Vega Nurmalita | Affiliation unknown | 1 |
| Suci Wulandari | Universitas Adzkia | 1 |
| Kusmiati | Affiliation unknown | 1 |
| Azka Fadlli | Affiliation unknown | 1 |
| Asila Murdiah | Affiliation unknown | 1 |
| Ahmad Mudzofar | Affiliation unknown | 1 |
| Bella Mayriska Rahmawati | Affiliation unknown | 1 |
| Mega Silvia | Affiliation unknown | 1 |
| Karsinah | Affiliation unknown | 1 |
| Fafurida | Affiliation unknown | 1 |
| Grace Natalia Marpaung | Affiliation unknown | 1 |
| Deky Aji Suseno | Affiliation unknown | 1 |
| Phany Ineke Putri | Affiliation unknown | 1 |
| Sepviana Nur Kumala | Affiliation unknown | 1 |
| Diva Riza Fahlefi | Affiliation unknown | 1 |
| Yozi Aulia Rahman | Affiliation unknown | 1 |
| Shanty Oktavilia | Affiliation unknown | 1 |
| Dwi Rahmayani | Affiliation unknown | 1 |
| Farida Nur Azizah | 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.