The Benefits of Farm Animal Welfare Legislation: The Case of the EU Broiler Directive and Truthful Reporting

The EU Broiler Directive came into force in the UK in June 2010 with the aim of setting new minimum standards, monitoring broiler welfare and addressing any welfare problems. A survey questionnaire was used to elicit information from a stratified sample of citizens in England and Wales regarding their willingness to pay for the provisions of the Directive, as an estimate of the consumer surplus associated with the legislation. We also explore the usefulness of Prelec's ( 2004 ) Bayesian Truth Serum (BTS) in promoting respondents’ truthful reporting. A median willingness to pay of £21.50 per household per year (corrected for sample bias and possible ‘yea saying’) was estimated from 665 responses. This provides an estimated benefit of the legislation to citizens of over £503 million per year, equivalent to 5.3% of current consumer expenditure on chicken. This compares to an estimated £22 million per year cost of producers’ compliance and government enforcement associated with the legislation. No statistically significant differences in responses between respondents that did and did not have a BTS incentive to answer questions truthfully were found, which might reflect apparently truthful answers in this case, an insufficiently strong financial incentive or a weakened effect due to an element of disbelief in the BTS amongst the sample. The analysis suggests that the benefits of the Broiler Directive to citizens greatly outweigh the additional costs to producers, making a case for the legislation to be retained.     

How changes in global liquidity affect dynamics of banks’ leverage: A case in Hong Kong

This paper examines how abundant global liquidity could influence the adjustment of banks’ leverage. Using banks in Hong Kong as an example, we find that the global liquidity effect is significant, and that mean reversion of banks’ leverage may under certain circumstances be more than offset by abundant global liquidity. Furthermore, we find that changes in global liquidity not only affect the level of leverage adjustment but also the adjustment speed of banks’ leverage.     

The determinants of debt maturity in Australian firms

We examine the determinants of debt maturity in the Australian capital market with the Top 400 firms listed on the Australian Securities Exchange for the period 1989–2006. We find that Australian firms not only exhibit a positive leverage–maturity relationship but also use short‐term debt to signal their high quality to the market. Our results are robust to different estimation methods that control for endogeneity and error‐dependence. We also find that ignoring the interaction between leverage and maturity can lead to erroneous conclusions about the support for the matching principle, the agency costs hypothesis and the transaction costs hypothesis.     

Retesting symmetry and homogeneity in a cointegrated demand system with bootstrapping: The case of meat demand in Greece

A small Almost Ideal Demand System is estimated for Greek meat consumption using the Johansen procedure in conjunction with parametric bootstrapping and Bartlett corrections. Asymptotic Wald and likelihood ratio tests broadly support the predicted number of cointegrating relationships but reject symmetry and homogeneity. Bootstrapping and Bartlett corrections give support to symmetry and homogeneity but give less support for the predicted number of cointegrating relationships.Jel classification: C32 D12First version received: September 2001/Final version received: March 2003     

Testing Symmetry and Homogeneity in the Almost Ideal Demand System with Co‐integrated Data using Fully Modified Estimation and the Bootstrap

Conventional seemingly unrelated estimation of the almost ideal demand system is shown to lead to small sample bias and distortions in the size of a Wald test for symmetry and homogeneity when the data are co‐integrated. A fully modified estimator is developed in an attempt to remedy these problems. It is shown that this estimator reduces the small sample bias but fails to eliminate the size distortion. Bootstrapping is shown to be ineffective as a method of removing small sample bias in both the conventional and fully modified estimators. Bootstrapping is effective, however, as a method of removing size distortion and performs equally well in this respect with both estimators.     

Determinants of technical efficiency of crop and livestock farms in Poland

Poland, one of the candidate countries for European Union membership, is currently experiencing acute structural problems within its agriculture sector. This article analyses technical efficiency and its determinants for a panel of individual farms in Poland specialized in crop and livestock production in 2000. Technical efficiency is estimated with stochastic frontier analysis (SFA) and confidence intervals are constructed. Determinants of inefficiency are also evaluated. The SFA results are compared with results using Data Envelopment Analysis (DEA). On average, livestock farms are more technically efficient than crop farms. For both specializations, the size–efficiency relationship is positive, that is large farms are more efficient. The SFA findings are generally supported by the DEA results. Soil quality and the degree of integration with downstream markets are highly important determinants of efficiency. The use of factor markets (land and labour) is important for crop farms, while livestock farms can rely on family labour and own land. Also, education is a constraint to efficiency particularly for crop farms.     

Integrating spatial dependence into Stochastic Frontier Analysis

An approach to incorporate spatial dependence into stochastic frontier analysis is developed and applied to a sample of 215 dairy farms in England and Wales. A number of alternative specifications for the spatial weight matrix are used to analyse the effect of these on the estimation of spatial dependence. Estimation is conducted using a Bayesian approach and results indicate that spatial dependence is present when explaining technical inefficiency.     

Dichotomous‐choice contingent valuation with ‘dont know’ responses and misreporting

A new approach is presented that simultaneously deals with Misreporting and Don't Know (DK) responses within a dichotomous‐choice contingent valuation framework. Utilising a modification of the standard Bayesian Probit framework, a Gibbs with Metropolis–Hastings algorithm is used to estimate the posterior densities for the parameters of interest. Several model specifications are applied to two contingent valuation datasets: one on wolf management plans, and one on the US Fee Demonstration Program. We find that DKs are more likely to be from people who would be predicted to have positive utility for the bid. Therefore, a DK is more likely to be a YES than a NO. We also find evidence of misreporting, primarily in favour of the NO option. The inclusion of DK responses has an unpredictable impact on willingness‐to‐pay estimates, since it impacts differently on the results for the two datasets we examine. Copyright © 2009 John Wiley & Sons, Ltd.     

Hong Kong-Inflation and Liquidity

Property-Keep stepping on the brakes The Hong Kong Monetary Authority (HKMA) on 10 June announced new measures to tackle housing-price in- flation. The intention this time, as in previous rounds, is to limit leverage. The government also said it would introduce more land supply in Q3-2011, which would create about 6,000 new residential units. In 2010, 13,405 residential units were completed. The HKMA’s latest measures came as leverage levels