Managing groundwater in a mining region: an opportunity to compare best‐worst and referendum data

In nonmarket valuation, practitioners must choose a format for the valuation questions. A common approach in discrete choice experiments is the ‘pick‐one’ format, often with two alternative policy proposals and a status quo from which the respondent selects. Other proposed formats, include best‐worst elicitation, where respondents are asked to indicate their most and least favoured alternative from a set. Although best‐worst formats can offer efficiency in data collection, they can also lead to responses that are difficult to reconcile with neoclassical welfare estimation. The current article explores methodological issues surrounding the use of pick‐one versus best‐worst data for nonmarket valuation, focusing on framing and status quo effects that may occur within three‐alternative discrete choice experiments. We illustrate these issues using a case study of surplus groundwater use from Western Australian mining. Results identify concerns that may render best‐worst data unsuitable for welfare estimation, including a prevalence of serial choices in which the status quo is universally chosen as the worst alternative, rendering part of the choice process deterministic. Asymmetry of preferences and serial choices can be obscured when models are estimated using ‘naively’ pooled best‐worst data. Results suggest that caution is warranted when using best‐worst data for valuation, even when pooled results appear satisfactory.     

Economic effects of water recovery on irrigated agriculture in the Murray‐Darling Basin*

In October 2010, the Murray‐Darling Basin Authority (MDBA) proposed that a range of 3000–4000 GL per year, on average, of additional water be made available for the environment in the Murray‐Darling Basin (MDB) to mitigate the effects of what it considers to be inadequate environmental flows. To help quantify the costs of this water reallocation, a hydro‐economic model was constructed based on the 19 regions of the MDB. The model results indicate the following: (i) substantial reductions in surface water extractions of up to 4400 GL per year impose only a moderate reduction on net profits in irrigated agriculture, Basin wide, given competitive water markets, but the effects are much more pronounced in particular regions/catchments and (ii) the costs of the water reallocation are comparable with the amount budgeted by the Australian government to acquire water from willing sellers and increase environmental flows if inter‐regional water trade is unrestricted.     

Assessing cost‐effectiveness when environmental benefits are bundled: agricultural water management in Great Barrier Reef catchments

Using economic analysis to prioritise improvements in environmental conditions is particularly difficult when multiple benefits are involved. This includes ‘bundling’ issues in agricultural pollution management, where a change in management action or farming systems generates multiple improvements, such as reductions in more than one pollutant. In this study, we conceptualise and compare two different approaches to analysing cost‐effectiveness when varying bundles of benefits are generated for a single project investment. Each approach requires data to be transformed in some way to allow the analysis to proceed. The index approach requires the transformation on the benefits side so that the effects of multiple pollutant changes can be combined into a measure for each project which can then be compared to costs. By comparison, the disaggregation approach requires the transformation on the costs side where costs for each project have to be apportioned across the different pollutants involved. The paper provides novel insights with an application to agricultural water quality improvements into the Great Barrier Reef in Australia, demonstrating that while both approaches are effective in prioritising projects by cost‐effectiveness, the disaggregation approach provides more insightful results and values that may be relevant for use as upper value guidelines in future project selection.     

Drinking water and off‐farm labour supply: between‐gender and within‐gender bias

In this paper, we use the China Health and Nutrition Survey (CHNS) panel data to analyse the impact of drinking water on off‐farm labour supply. A two‐stage least squares (2SLS) multivariate Tobit regression model with random effects was applied. We find that impacts of drinking water conditions on off‐farm labour supply may be greater for women than men but depends on the specific family role or family structure. A strong within‐gender effect exists in households. For example, daughters are not sensitive to water access nor water quality, but householder's spouses are sensitive to water access, and daughters‐in‐law are sensitive to water quality. Our findings suggest that infrastructure development in improved access to safe water has contributed positively to reductions in traditional gender biases, evening the playing field between daughters, daughters‐in‐law, mothers and mothers‐in‐law. We also find that water the infrastructure program may actually encourage off‐farm labour mobility, reducing the supply of agricultural labour and the share of household labour on the farm. Thus, a broader approach to water policy should also include public investment in achieving greater labour efficiency and productivity.     

Eco‐efficiency of high‐yielding variety rice cultivation after accounting for on‐farm environmental damage as an undesirable output: an empirical analysis from Bangladesh

This study computes the eco‐efficiency of high‐yielding variety (HYV) rice production by including an on‐farm environmental damage index (OFEDI) as an undesirable output using data envelopment analysis. It then identifies its determinants by applying an interval regression procedure on a sample of 317 farmers from north‐western Bangladesh. Results reveal that the mean level of the OFEDI‐adjusted production efficiency (i.e. eco‐efficiency) is 89 per cent, whereas ignoring OFEDI adjustment (i.e. with OFEDI = 0) reduces the mean level of efficiency to 69 per cent, implying that the production of undesirable output or on‐farm environmental damage induces an efficiency loss of 20 per cent with significant differences across regions. The proportion of farmers’ income from HYV rice agriculture, land ownership, extension services and socio‐environmental living standard are the significant determinants of improving eco‐efficiency. Policy implications include investments in extension services and land reform measures to increase land ownership, which will synergistically improve eco‐efficiency of HYV rice production in Bangladesh.     

Cattle Farmers’ Preferences for Disease‐Free Zones in Kenya: An application of the Choice Experiment Method

Management of livestock diseases is important in ensuring food safety to consumers in both domestic and export markets. Various measures are prescribed under the Sanitary and Phytosanitary Standards (SPS) agreement of the World Trade Organization. In order to prevent the spread of trans‐boundary cattle diseases, the SPS agreement recommends the establishment of Disease‐Free Zones (DFZs). These have been implemented successfully in some major beef‐exporting countries, but in Kenya are still at a pilot stage. To understand Kenyan farmers’ preferences on the type of DFZ that would be readily acceptable to them, a choice experiment was conducted using a D‐optimal design. Results show that farmers would be willing to pay to participate in a DFZ where: adequate training is provided on pasture development, record keeping and disease monitoring; market information is provided and sales contract opportunities are guaranteed; cattle are properly labelled for ease of identification; and some monetary compensation is provided in the event that cattle die due to severe disease outbreaks. Preferences for the DFZ attributes are shown to be heterogeneous across three cattle production systems. We also derive farmers’ preferences for various DFZ policy scenarios. The findings have important implications for policy on the design of DFZ programmes in Kenya and other countries that face similar cattle disease challenges.     

Transboundary water management Game‐theoretic lessons for projects on the US–Mexico border⋆

Of the twelve million people who live within 100 km of the US–Mexico border, 90 percent are clustered in transboundary sister cities that share common water sources and pollution problems. New institutions created to address environmental concerns over NAFTA offer the promise of greater financial and technical assistance for water management in border cities. This paper reviews US–Mexico border water issues and institutions. Using insights from game theory, it draws policy lessons for institutions funding border water projects. We examine how the design of assistance programs, technical support, and pre‐existing water rights and regulations affect project outcomes. The diversity and geographic dispersion of water conflicts suggests potential for applying the interconnected game approach to US‐Mexico water negotiations.