Stakeholders’ willingness to pay for enhanced construction waste management: A Hong Kong study

Lu, Weisheng; Peng, Yi; Webster, Chris; Zuo, Jian

doi:10.1016/j.rser.2015.03.008

Cited by 73 publications

(16 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The method has been applied to assess the value for renewable energy [44], forests [15], wetlands [45], watersheds [17], hydrogen buses [46] and other nonmarket resources [47,48]. The induction modes for willingness to pay include open, repeat bidding, dichotomy, payment card, and so on [49], which are increasingly used to obtain the residents' WTP for environmental protection of the river basin. The payment card of the induction mode has the advantages of easy access to the respondents' willingness to pay, avoidance information deviation, and circumvention extreme values [17].…”

Section: Contingent Valuation Methodsmentioning

confidence: 99%

Analysis of the Factors Influencing Willingness to Pay and Payout Level for Ecological Environment Improvement of the Ganjiang River Basin

et al. 2018

View full text Add to dashboard Cite

China has continuously stepped up its efforts to protect the ecological environment of the Ganjiang River Basin. The government has played a leading role, but the residents, who have also played an important role in this issue, are often overlooked. Consequently, it is necessary and urgent to study the willingness of the residents, who are the direct stakeholders, to pay for the protection of the ecological environment of the Ganjiang River Basin. Based on a survey of 773 households, this study examines the downstream residents' willingness to pay (WTP) and their payout levels. Using the payment card (PC) contingent valuation method (CVM), we measure the payment probability of the downstream residents and the amount they are willing to pay. Additionally, Heckman's two-stage model is adopted for exploring the influencing factors of the surveyed residents' WTP and payout levels and avoiding the possible presence of sample selection bias. The results showed that 75.03% of the surveyed residents are willing to pay for ecological compensation in the Ganjiang River Basin. The downstream residents are willing to pay an annual average amount of about $47.62/household for ecological compensation. The factors that significantly influence their WTP include the educational background, work type, residential location, and water quality and quantity. In the case of payout levels, the influencing factors include the education background, work type, household annual disposable income, and water quality and quantity. In addition, the factor of value recognition is marginal and significantly related to WTP and payout levels. The results of this empirical study have important policy implications and recommendations that the government should intensify its propaganda about the ecological value, increase investment in education, and establish a variety of ecological compensation payments, in order to protect and improve the ecological environment of the Ganjiang River Basin.

show abstract

Section: Contingent Valuation Methodsmentioning

confidence: 99%

Analysis of the Factors Influencing Willingness to Pay and Payout Level for Ecological Environment Improvement of the Ganjiang River Basin

et al. 2018

View full text Add to dashboard Cite

show abstract

“…To use a value of WTA from the literature is seldom possible; on the contrary, a different value should be used for different municipalities, since social factors significantly influence the value in question [61]. Numerous other case studies can be found in the literature; herein we refer to [62][63][64][65][66][67].…”

Section: Discussionmentioning

confidence: 99%

An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem

Gallo

2019

Sustainability

View full text Add to dashboard Cite

This paper proposes a discrete optimisation model and a heuristic algorithm to solve the landfill siting problem over large areas. Besides waste transport costs and plant construction and maintenance costs, usually considered in such problems, the objective function includes economic compensation for residents in the areas affected by the landfill, to combat the NIMBY (Not In My Back Yard) syndrome or, at least, reduce its adverse effects. The proposed methodology is applied to a real-scale case study, the region of Campania, Italy, where waste management is a thorny problem. Numerical results show that the proposed algorithm may be used to obtain a solution to the problem, albeit sub-optimal, with acceptable computing times, and the proposed model tends to locate landfills in sparsely populated sites.

show abstract

“…Sumber: Hasil penelitian 2018, diolah (Han et al, 2019:190;Noviati Sadikin, Mulatsih, Pramudya Noorachmat, & Susilo Arifin, 2017;Merryna, 2009;Lu, Peng, Webster, & Zuo, 2015) (Annisa, 2015) dalam penelitiannya menemukan dengan uji parsial (uji t) pendapatan memiliki pengaruh paling nyata terhadap WTP, tetapi pendidikan dan jumlah anggota keluarga tidak memiliki pengaruh nyata terhadap WTP pengelolaan sampah rumah tangga. juga dengan variabel jumlah anggota keluarga dengan tingkat kepercayaan 95% tidak mempunyai pengaruh yang signifikan terhadap WTP sampah rumah tangga di Kelurahan Simpang Baru Panam.…”

Section: Tabel 3 Jumlah Responden Yang Tidak Bersedia Dan Bersedia Bunclassified

Analisis Willingness to Pay (Wtp) Retribusi Pengelolaan Sampah Di Kecamatan Cileunyi, Kabupaten Bandung

Nainggolan

2019

Jurnal Ilmu Pemerintahan Widya Praja

View full text Add to dashboard Cite

This study aims to analyze the value of Willingnes to Pay (WTP) and the factors that influence the value of WTP to waste management retribution into compost. This research was conducted in Cileunyi District, Bandung Regency, West Java Province. Cileunyi District is estimated to produce garbage reaching 330 m3 per day or 115 tons/ day. The number of samples is 96 families, calculated by the Frank Lynch formula. To find out the factors that influence WTP, use the correlation test, ANOVA test and multiple linear regression analysis using SPSS 24 software. Contingent Valuation Method (CVM) is used to analize the value of Community’s Willingness to Pay the retribution. The results of the study obtained as follows: age, level of education, income and number of family members together (simultaneous) affect the Willingness to Pay (WTP), the influence of all factors is 39.9%, the number of family members does not significantly affect the WTP, the average value of waste retribution paid is Rp. 10,208,33 and the average value of WTP for waste management into compost or recycled is Rp. 20,572.92.

show abstract

Stakeholders’ willingness to pay for enhanced construction waste management: A Hong Kong study

Cited by 73 publications

References 33 publications

Analysis of the Factors Influencing Willingness to Pay and Payout Level for Ecological Environment Improvement of the Ganjiang River Basin

Analysis of the Factors Influencing Willingness to Pay and Payout Level for Ecological Environment Improvement of the Ganjiang River Basin

An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem

Analisis Willingness to Pay (Wtp) Retribusi Pengelolaan Sampah Di Kecamatan Cileunyi, Kabupaten Bandung

Contact Info

Product

Resources

About