The willingness to pay for in‐house piped water in urban and rural Indonesia

Suparman, Yusep; Folmer, Henk; Oud, Johan H. L.

doi:10.1111/pirs.12124

Cited by 13 publications

(8 citation statements)

References 49 publications

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“…2 Analytical framework for studying homegarden commercialization the maximum-likelihood approach under the structural equation modeling (SEM) framework. SEM can simultaneously overcome endogeneity problems with regards to simultaneity, measurement errors, as well as omitted variables and provide consistent estimates (e.g., Suparman et al 2016;Ren et al, 2017). In the absence of measurement models, an SEM model is a simultaneous equations system which consistently can be estimated by the (full information) maximum-likelihood method (Greene 2018).…”

Section: Quantitative Data Analysismentioning

confidence: 99%

Homegarden commercialization: extent, household characteristics, and effect on food security and food sovereignty in Rural Indonesia

et al. 2020

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Homegardens have long been recognized for contributing to household food security, nutritional status, and ecological sustainability in especially poor, rural areas in low-income countries. However, as markets and policies drive the commercialization of food and farming systems, and of rural livelihoods in general, it becomes increasingly difficult for smallholder farmers to maintain homegarden plots. Rather than autonomous spaces to grow food for self-consumption, farmers are transforming the land around their dwellings into an income-generating space by planting commercial crops for sale in urban and processing markets. The objective of this study was to examine homegarden commercialization in the Upper Citarum Watershed of West Java, Indonesia, and its effects on food security and food sovereignty. We employed a mixed-method approach to survey 81 village households involved in agricultural production. For quantitative analysis, we calculated a "homegarden commercialization index," and developed indicator frameworks to examine relationships between commercialization, household food security, and food-related decision-making. Accompanied by insights from qualitative interviews, our results show that homegardens are highly commercialized, which contributes to the spread of monocultural production in the region. We argue that homegardens should be included and supported in food, agricultural, health, environmental, and rural development policy, in Indonesia and generally.

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Section: Quantitative Data Analysismentioning

confidence: 99%

Homegarden commercialization: extent, household characteristics, and effect on food security and food sovereignty in Rural Indonesia

et al. 2020

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“…The authors build a hedonic pricing model with application in Indonesia. In another study, the same authors employed the ASEM to estimate the willingness to pay for in-house piped water in urban and rural areas of Indonesia (Suparman et al 2014b).…”

Section: Literature Reviewmentioning

confidence: 99%

Worthy to lose some money for better air quality: applications of Bayesian networks on the causal effect of income and air pollution on life satisfaction in Switzerland

Giovanis

2018

Empir Econ

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One important determinant of well-being is the environmental quality. Many countries apply environmental regulations, reforms and policies for its improvement. However, the question is how the people value the environment, including the air quality. This study examines the association between air pollution and life satisfaction using the Swiss Household Panel survey over the years 2000-2013. We follow a Bayesian network (BN) strategy to estimate the causal effect of the income and air pollution on life satisfaction. We look at five main air pollutants: the ground-level ozone (O 3), sulphur dioxide (SO 2), nitrogen dioxide (NO 2), carbon monoxide (CO) and particulate matter of 10 micrometres (PM 10). Then, we calculate the individuals' marginal willingness to pay (MWTP) of reducing air pollution that aims to improve their life satisfaction. Beside the BN model, we take advantage of the panel structure of our data and we follow two approaches as robustness check. This includes the adapted probit fixed effects and the generalised methods of moments system. Our findings show that O 3 and PM 10 present the highest MWTP values ranging between $8000 and $12,000, followed by the remained air pollutants with MWTP extending between $2000 and $6500. Applying the BNs, we find that the causal effect of income on life satisfaction is substantially increased. We also show the causal effects of air pollutants remain almost the same, leading to lower values of willingness to pay.

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“…Many studies which utilized public perception focus on health (Harapan et al [36]), environment (Vollmer et al [37], Suparman, Folmer and Oud [38], Ghozali and Kaneko [39], Soo [40]), tourism (Anna [41]), transportation (Hendratmoko, Guritnaningsih, and Tjahjono [42], Ambarwati [43]), and trade (Kojima [44] and Miller et al [45]). Only two studies present public perception in the energy area in the Indonesian context, namely Lensink, Raster and Timmer [46] with observations about the WTP for solar lamps, and Kumashiro et al [47], which evaluated geothermal energy.…”

Section: User Perception To Evaluate Reliability Of Electricity Supplymentioning

confidence: 99%

Perceived and Reported Reliability of the Electricity Supply at Three Urban Locations in Indonesia

Kunaifi

Reinders

2018

Energies

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This paper focuses on the reliability of electricity supply at three different locations in Indonesia, namely in Sumatra, Timor, and Papua, through a comparison of reported indices of power reliability (SAIFI and SAIDI) and experimental results from user surveys and power measurements. The reason for this study is the lack of information about the actual, quantified reliability of power supplied by the main grid in Indonesia, while narratives of end-users indicate the reliability might be unsatisfactory. The study was executed using data from 114 randomly-selected respondents in the city of Pekanbaru in Sumatra, 65 in the city of Kupang in Timor and 26 in the city of Jayapura in Papua, totaling 205 respondents. These users experienced a higher unavailability of power delivered by the grid than expressed by the utility-reported SAIDI and SAIFI. Therefore, for this study, new indices are introduced, namely the Perceived (P) SAIDI and SAIFI, which are based on the frequency and duration of blackouts experienced by the users. It is concluded that the reported reliability indices do not always demonstrate the experience of the grid users. P-SAIFIs were 1.3 to 4.6 times higher in Pekanbaru and Kupang, respectively than the utility-reported SAIFIs for the same provinces. Also, P-SAIDIs were 2.6 to 3.9 times higher in Pekanbaru and Kupang, respectively, than the utilities' SAIDIs. It is therefore not surprising that depending on the location, 14% to 65% of the users own a backup generator and that households are willing to pay $3 to $8 extra per monthly electricity bill or $1c-$3c per kWh for improved reliability.

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The willingness to pay for in‐house piped water in urban and rural Indonesia

Cited by 13 publications

References 49 publications

Homegarden commercialization: extent, household characteristics, and effect on food security and food sovereignty in Rural Indonesia

Homegarden commercialization: extent, household characteristics, and effect on food security and food sovereignty in Rural Indonesia

Worthy to lose some money for better air quality: applications of Bayesian networks on the causal effect of income and air pollution on life satisfaction in Switzerland

Perceived and Reported Reliability of the Electricity Supply at Three Urban Locations in Indonesia

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