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Record W4403238467 · doi:10.29313/bcsurp.v4i3.13810

Valuasi Ekonomi Taman Cilaki berdasarkan Contingent Valuation Method (CVM)

2024· article· en· W4403238467 on OpenAlexaff
Jasmin Putri Ayudia, Lely Syiddatul Akliyah

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsContingent valuationEconomicsWillingness to payMicroeconomics

Abstract

fetched live from OpenAlex

Abstract. Economic valuation is an assessment of a natural resource and environment that has experienced changes in environmental quality. In economic valuation, the contingent valuation method is a method used to measure the value of natural resources. The existence of urban parks has an important role in reducing environmental losses due to urban development that occurs. Cilaki Park has an area of 32,860 m2 which originally functioned as an urban forest and green belt. The existence of this park provides benefits in the form of urban greening, reducing the impact of global warming, flood prevention, temperature quality maintenance, and educational, recreational and sports facilities for visitors. These benefits need to be maintained to improve the quality of society as well as maintain the balance of urban natural ecosystems. Therefore, economic valuation of urban parks is important to illustrate the value of the utilized ecosystem. This study aims to determine the value of Cilaki Park through its existence value using the WTP. The data collected was obtained through the distribution of questionnaires and field observations, as well as secondary surveys through literature studies and agency surveys. From the calculation results, the value of Cilaki Park reached IDR 30,580,556,600. This value shows the importance of Cilaki Park for the people of Bandung City. Its existence, which functions as an urban jungle, causes Cilaki Park not to be intended as a park that has a profit for the government, but has a contribution to the provision of green space in Bandung City. The addition of components to tax collection can be a recommendation with the aim that the sustainability of the availability of natural resources in urban parks can be maintained. Abstrak. Valuasi ekonomi merupakan penilaian pada suatu sumberdaya alam dan lingkungan yang mengalami perubahan kualitas lingkungan. Dalam valuasi ekonomi, metode penilaian valuasi kontingensi merupakan metode yang dilakukan untuk mengukur nilai keberadaan sumberdaya alam. Keberadaan taman perkotaan memiliki peran penting dalam mengurangi kerugian lingkungan akibat dari pembangunan kota yang terjadi. Taman Cilaki memiliki luasan sebesar 32.860 m2 yang awalnya difungsikan sebagai hutan kota dan jalur hijau. Keberadaan taman ini memberikan manfaat berupa berupa penghijauan kota, pengurangan dampak pemanasan global, pencegahan banjir, penjaga kualitas suhu, hingga sarana edukasi, rekreasi, dan olahraga bagi pengunjung. Manfaat-manfaat tersebut perlu tetap dijaga untuk meningkatkan kualitas masyarakat juga menjaga keseimbangan ekosistem alam perkotaan. Oleh karena itu, penilaian ekonomi terhadap taman perkotaan penting untuk menggambarkan nilai dari ekosistem yang dimanfaatkan. Penelitian ini bertujuan untuk mengetahui nilai Taman Cilaki melalui nilai keberadaannya menggunakan pendekatan WTP. Data yang dikumpulkan didapatkan melalui penyebaran kuesioner dan observasi lapangan, serta survei sekunder melalui studi pustaka dan survei instansi. Dari hasil perhitungan, didapatkan nilai keberadaan Taman Cilaki mencapai Rp30.580.556.600,-. Nilai tersebut menunjukkan besaran pentingnya Taman Cilaki bagi masyarakat Kota Bandung. Keberadaannya yang difungsikan sebagai rimba kota menyebabkan Taman Cilaki tidak ditujukan sebagai taman yang memiliki profit bagi pemerintah, namun memiliki kontribusi pada penyediaan RTH di Kota Bandung. Penambahan komponen pada pengambilan pajak dapat menjadi rekomendasi dengan tujuan agar keberlangsungan akan ketersediaan sumberdaya alam pada taman perkotaan dapat terus terjaga.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.088
GPT teacher head0.287
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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