Promotion of residential water conservation measures in South Africa: the role of water-saving equipment

被引：0
作者：
Djiby Racine Thiam
Ariel Dinar
Hebert Ntuli
机构：
[1] University of Cape Town,School of Economics
[2] University of California,School of Public Policy
来源：
Environmental Economics and Policy Studies | 2021年 / 23卷
关键词：
Greywater technology diffusion; Choice experiment; Latent class analysis; Water scarcity; Cape town; South africa; O33; Q 25; Q 55; Q 58; D04;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In many urban settings around the world the severity of water scarcity has induced changes in household behavior, leading to reduction in the volume of water demanded. One of the most widely used strategies is the adoption of water-saving equipment that collects, stores and eventually treats wastewater from various sources within the household. This paper investigates the factors that drive adoption of water-saving equipment in Cape Town, South Africa, following the catastrophic “Day Zero” water crisis in 2018. First, the paper develops a disaggregated technology diffusion model. Second, we make use of choice experiments to determine the attribute levels and socioeconomic characteristics that influence adoption of water-saving equipment in urban communities in South Africa. Data collected from a sample of 465 representative households in Cape Town are used in a choice modelling framework. Latent class analysis (LCA) is compared with both multinomial logit and conditional logit models to estimate marginal willingness to pay (MWTP) for adoption of water-saving equipment. The LCA identified three household classes with distinct preferences, suggesting divergence in adoption of water-saving equipment.
引用
收藏
页码：173 / 210
页数：37
相关论文
共 208 条
  • [1] Bartel AP(1987)The comparative advantage of educated workers in implementing new technologies Rev Econ Stat 69 1-11
  • [2] Lichtenberg FR(1969)A new product growth for model consumer durables Manage Sci 15 215-227
  • [3] Bass F(2010)Construction of experimental designs for mixed logit models allowing for correlation across choice observations Transp Res Part B 44 720-734
  • [4] Bliemer MCJ(1993)Measuring the impact of water conservation campaigns in California Clim Change 24 233-248
  • [5] Rose JM(2002)Do R&D tax credits work? Evidence from a panel of countries 1979–1997 J Publ Econ 85 1-31
  • [6] Berk R(2002)Irrigation water demand for the decision maker Environ Dev Econ 7 643-657
  • [7] Schulman D(2001)What values do the public want their health care systems to use in evaluating technologies? Euro J Health Econ 12 284-288
  • [8] McKeever M(2004)Prices, devices, people and rules: The relative effectiveness of policy instruments in water conservations Rev Policy Res 21 637-662
  • [9] Freeman H(2016)The costs of coping with poor water supply in rural Kenya Water Resour Res 100 2031-2059
  • [10] Bloom N(2010)An exploration of technology diffusion Am Econ Rev 88 258-268
12345678910