Using Papua New Guinea as a case study, this paper investigates the macroeconomic and sectoral impacts of various developments in its agricultural and resource sector. It was found that commodity booms from 2004 to 2009 and the proposed large liquefied natural gas project increase output growth substantially but with Dutch disease consequences. The output expansion of the agricultural and fishery sectors on the other hand has limited positive impacts and the challenge lies in raising the productivity growth in these sectors and the better use of foreign aid. Lastly, the optimal policy strategy for sustainable development in the agricultural, fishery and resource sectors lies in the packaging of appropriate complementary policies (both institutional and economic) that support one another and the coherent implementation of these policies in a timely manner.

Few studies have been performed to use the detailed healthy eating index (HEI) to estimate consumer demand for diet quality. In this article, we apply household production theory to systematically estimate consumer demand for diet quality using the HEI developed by the U.S. Department of Agriculture. The results show that consumers have insufficient consumption of food containing dark green and orange vegetables, legumes and whole grains. Age and education have a significant impact on consumer demand for diet quality, but income does not. The own-price elasticities of demand for diet quality are inelastic. Simulation of tax scenarios indicates that a tax on sugar-sweetened beverage may be more efficient than a tax on fats, oils and salad dressing in improving consumer diet quality. This information is critical for policies and programs that are designed to improve healthy food choices, thereby reducing the social cost of public health.

The present study aims to learn how collateral affects firm performance in the case of newly established wine producers. The issue is to identify the effects of collateral in situations of asymmetric information when the bank is the main financial partner of the entrepreneurs involved. On one hand, the use of collateral may reduce the risk of overinvestment by entrepreneurs and thereby reduce the risk of repayment default. On the other hand, collateral may induce bad performance linked to a reduced monitoring of the investments by the bank. We herein test both hypotheses in two different cases: when the bank monitors the investments and when the bank does not.

Many studies quantifying individual risk preferences of test persons show that results of different measuring methods may vary. Additional reservations about the reliability of the results regarding the risk attitude measurement arise from the fact that most studies are based on convenience groups, such as students or businessmen in developing countries. With this in mind, we systematically compare different measuring methods to answer the question how the choice of method affects the results. Moreover, we compare the risk preferences of German farmers with those of students and Kazakhstani farmers to investigate whether farmers’ risk preferences can be approximated through those of convenience groups. The methods applied comprise an incentive-compatible Holt-and-Laury-lottery as well as two psychometric methods. Results show that students respond consistently across all three elicitation methods whereas German and Kazakhstani farmers are more inconsistent. Significant differences exist in the responses of German students and German farmers. The comparison of risk preferences between German and Kazakhstani farmers, however, reveals significant similarities with respect to the psychometric methods.

We analyse changes in the Australian gas industry during 1990s that were motivated by the Hilmer Reforms. We estimate the effects on real household income of the changes by combining a computable general equilibrium model with a microsimulation model. Although the structural changes were significant in their effects on the gas industry, they are estimated to have had minor effects on real household income in all Australian regions owing to the small size of the gas industry and household gas consumption at that time, and low importance of gas as an input to other industries. The changes are estimated to have slightly increased income inequality owing to the redistribution of income from labour to other primary factors.

Economic performance measures of organic and transitioning-to-organic cow–calf farms are compared with those of non-organic cow–calf farms. A method of matching samples is used for the comparison, estimating sample average treatment effects for the subpopulation of the treated. Each organic farm is matched with one non-organic farm that is involved in the same beef industry segments and farm size classes, and in the same region. Furthermore, farmer demographic, farming system, and technology variables are used to identify matches. Bias is reduced by estimating separate weighted regression functions for the treated and untreated groups. Results suggest that higher cost of organic production is due primarily to higher capital recovery, taxes and insurance, and overhead costs. Evidence is found for differences in beef enterprise profitability by organic status.

We report results from contingent valuation studies in each of two Tasmanian fisheries that estimate the value of a day’s recreational fishing. Published studies estimating the economic value of recreational fishing in Australia and New Zealand are limited, although the economic and social benefits associated with this activity are sizable and the importance of understanding the behaviour of recreational fishers for the sustainable management of aquatic resources is well recognised. In our contingent valuation surveys, we use a double-bounded version of the dichotomous choice question, which improves the statistical efficiency of the estimates relative to those based on a single dichotomous choice question. We test and control for response bias, in the form of anchoring and a shift effect, that may occur in data collected using a double-bounded dichotomous choice (DBDC) elicitation format. We highlight the importance of identifying and correcting for response bias in DBDC models on a case-by-case basis. Our estimation results show that there is no significant difference in the willingness to pay for a day of recreational fishing across individuals who caught different number of fish in either fishery. This suggests that high and low catch fishers placed the same value on a day’s fishing.

An elicitation format prevalently applied in discrete choice experiments (DCE) is to offer each respondent a sequence of choice tasks containing more than two choice options. However, empirical evidence indicates that repeated choice tasks influence choice outcomes through order effects. The study reported in this article employs a split sample approach based on field surveys to expand the research on effects of repeated-binary DCE elicitation formats. A single-binary elicitation format is used as the baseline. Our results indicate that choice outcomes may vary across the single-binary and repeated-binary elicitation formats. The choice between the two elicitation formats may imply a trade-off between decreased choice precision in the single-binary and order effects that may be explained by strategic misrepresentation of preferences, cost uncertainty effects and reference effects in the repeated-binary elicitation format.

If agriculture were to be included in Australia’s carbon price scheme, a key decision for government would be how to estimate greenhouse gas emissions. We explore the consequences of three different methods for measuring on-farm emissions: national accounting methods, an amended version of those methods and use of best-available local data. Estimated emissions under the three methods can vary widely; for example, on a case study farm in Western Australia, local data indicated 44 per cent lower emissions than did the national accounts method. If on-farm emissions are subject to an emissions price, the impact on farm profit is large and varies considerably with different measurement methods. For instance, if a price of $23/t of CO2-e applies then farm profit falls by 14.4–30.8 per cent depending on the measurement method. Thus, the choice of measurement method can have large distributional consequences. On the other hand, inaccurate measurement results in relatively minor deadweight losses. On-farm sequestration through reafforestation may lessen the impact of an emissions price on farm businesses, although it will require a high carbon price to be viable, especially if sequestration rates are underestimated or low.

Policy-based markets for environmental services include government procurement, private procurement to satisfy regulatory requirements and private procurement through government offset markets. These markets are increasingly popular and raise questions about optimal procurement under different regulatory frameworks. The design of these schemes draws together issues in auction design and contract theory. Using a mixed adverse selection, moral hazard model, we show that optimal contract design may differ significantly between procurement and regulatory policy environments. We model risk averse landholders to preserve a key feature of the policy environment. These findings have implications for the design of pollution reduction schemes and the rehabilitation of environmental assets.

In this research, we examine the effects of El Niño southern oscillation (ENSO) on market dynamics of major vegetable oil prices. We adopt a smooth transition vector error correction modelling framework to analyse the impacts of ENSO events on the vegetable oil prices and, more interestingly, to investigate the asymmetric nature of the ENSO dynamics and price responses to ENSO shocks. The results confirm self-exciting type nonlinearities in the ENSO dynamics, and presence of the so-called transactions cost band in the system of vegetable oil prices. These nonlinearities yield the history-specific asymmetries in the vegetable oil price dynamics, wherein effects of ENSO shocks on the ENSO dynamics and the vegetable oil prices vary considerably between different ENSO regimes. In general, positive deviations, El Niño events, result in the vegetable oil price increase, while negative deviations, La Niña events, result in decrease in the prices. We illustrate these effects using generalised impulse-response functions and the derived asymmetry measures.