计量经济分析 = Econometric analysis

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

Research on consumer quality perception is reviewed using the Total Food Quality Model as a structuring device. The relationship between food safety and quality is addressed, and is discussed in the context of research on consumer risk perception. Quality and safety perception is linked to food choice and consumer demand, addressing questions of price perception and the validity of willingness-to-pay measurements. It is concluded that food quality and safety are central issues in today’s food economics, though many research questions remain to be addressed.

Food quality and safety: consumer perception and demand

Interpreting qualitative data

https://www1.montpellier.inra.fr/lameta/articles/5.3.2_ESS_HISTORY.pdf

The history of ecosystem services in economic theory and practice: From early notions to markets and payment schemes

Organic farming and the sustainability of agricultural systems

Constructing a farm level indicator of sustainable agricultural practice

Summary This paper reports a study of UK consumer attitudes to genetically modified organisms (GMOs) in food and the extent to which these attitudes translate into willingness to pay to avoid these products. The results indicate the relative importance of different aspects of the food system in forming food preferences, and that GM food is only one of a number of concerns, albeit a significant one. Attitudes towards organic food are found to be a useful indicator of attitudes towards GM technology, as the preference structure that underlies the former also appears to inform the latter. Significant differences are found between attitudes to GM food in which plants are modified by the introduction of genes from other plants and those in which plants are modified by the introduction of genes from animals and plants.

/pdf/consumer-attitudes-to-genetically-modified-organisms-in-food-411y6rxqy1.pdf

Consumer Attitudes to Genetically Modified Organisms in Food in the UK

Duration Analysis, which allows the timing of an event to be explored in a dynamic framework, is used to model the adoption of organic horticultural technology in the UK. The influence of a range of economic and non-economic determinants is explored using discrete time models. The empirical results highlight the importance of gender, attitudes to the environment and information networks, as well as system- atic effects that influence the adoption decision over the lifetime of the producer and over the survey period.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1467-8489.00202

Modelling the adoption of organic horticultural technology in the UK using Duration Analysis

The determinants of the decision to adopt organic production techniques are examined by applying binomial and multinomial logit techniques to a sample of 237 horticultural producers from the UK. The analysis indicates that organic horticultural producers are more likely to be younger, run smaller enterprises and be female than their conventional counterparts, and that there are significant non-economic aspects to the decision to adopt organic techniques which may be missed in comparative profitability studies. In addition, the analysis indicates that the registered and unregistered organic producers should not be regarded as a homogenous group, with significant differences in terms of the influence of gender and information sources observed.

Dan Rigby

Papers

Organic farming and the sustainability of agricultural systems

Constructing a farm level indicator of sustainable agricultural practice

Consumer Attitudes to Genetically Modified Organisms in Food in the UK

Modelling the adoption of organic horticultural technology in the UK using Duration Analysis

Analysis of the Determinants of Adoption of Organic Horticultural Techniques in the UK