Impacts of COVID-19 on patterns of meat and seafood consumption: evidence from Australia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
John Rolfe ◽  
Darshana Rajapaksa ◽  
Jeremy De Valck ◽  
Megan Star
Keyword(s):  
National Level ◽  
Meat Consumption ◽  
Consumption Patterns ◽  
Ordered Probit ◽  
Seafood Consumption ◽  
Content Type ◽  
Probit Models ◽  
Consumption Rates ◽  
Future Consumption ◽  
Ordered Probit Models

PurposeIn 2020, mechanisms to limit the chain of transmission of coronavirus disease 2019 (COVID-19) in Australia led to widespread restrictions on population mobility and business operations. Such conditions provide a natural experiment that may help to provide insights into consumer behaviour and future trends in food consumption. The overall objective of this study is to explore the possible impacts of COVID-19 on meat consumption patterns in Australia, both in the short and medium term, and to explore whether there have been impacts on the underlying drivers for consumption.Design/methodology/approachThe research reported in this paper analyses the impacts of COVID-19 on meat and seafood consumption in Australia, drawing on a national random survey of 1,200 participants in June 2020. Survey data on past and current consumption rates are compared to respondent estimates of their future consumption behaviour, and ordered probit models are used to identify whether consumption changes can be explained by socio-demographic, attitudinal or economic factors.FindingsTwo potential scenarios were evaluated to explore future consumption trends. The first “acceleration” scenario is that the restrictions would encourage people to speed up existing declines in meat consumption, perhaps taking more account of credence factors such as health, animal welfare and environmental issues. The second “transformation” scenario is that people will change consumption patterns, perhaps moving more towards home-cooked meals and increased consumption. Slightly stronger support was found for the transformation scenario, indicating that consumption rates for most meats and seafood will be stable or increase over the next five years.Originality/valueThis study capitalises on changed social and economic settings generated by COVID-19 to test the effects on consumption of meat (chicken, beef, pork, lamb) and seafood at a national level. Ordered probit models are applied to evaluate participant data on their future intentions for meat consumption to test two scenarios, finding stronger support for the “transformative” scenario than the “accelerate” scenario.

scholarly journals Adoption of multiple climate-smart agricultural practices in the Gangetic plains of Bihar, India

2018 ◽  
Vol 10 (3) ◽  
pp. 407-427 ◽  
Author(s):  
Jeetendra Prakash Aryal ◽  
M.L. Jat ◽  
Tek B. Sapkota ◽  
Arun Khatri-Chhetri ◽  
Menale Kassie ◽  
...  
Keyword(s):  
Nutrient Management ◽  
Positive Impact ◽  
Agricultural Practices ◽  
Ordered Probit ◽  
Extension Services ◽  
Content Type ◽  
Minimum Tillage ◽  
Climate Risks ◽  
Probit Models ◽  
Ordered Probit Models

Purpose The adoption of climate-smart agricultural practices (CSAPs) is important for sustaining Indian agriculture in the face of climate change. Despite considerable effort by both national and international agricultural organizations to promote CSAPs in India, adoption of these practices is low. This study aims to examine the elements that affect the likelihood and intensity of adoption of multiple CSAPs in Bihar, India. Design/methodology/approach The probability and intensity of adoption of CSAPs are analyzed using multivariate and ordered probit models, respectively. Findings The results show significant correlations between multiple CSAPs, indicating that their adoptions are interrelated, providing opportunities to exploit the complementarities. The results confirm that both the probability and intensity of adoption of CSAPs are affected by numerous factors, such as demographic characteristics, farm plot features, access to market, socio-economics, climate risks, access to extension services and training. Farmers who perceive high temperature as the major climate risk factor are more likely to adopt crop diversification and minimum tillage. Farmers are less likely to adopt site-specific nutrient management if faced with short winters; however, they are more likely to adopt minimum tillage in this case. Training on agricultural issues is found to have a positive impact on the likelihood and the intensity of CSAPs adoption. Practical implications The major policy recommendations coming from of our results are to strengthen local institutions (public extension services, etc.) and to provide more training on CSAPs. Originality/value By applying multivariate and ordered probit models, this paper provides some insights on the long-standing discussions on whether farmers adopt CSAPs in a piecemeal or in a composite way.

Attitudes and responses to corruption in tax systems: peer effects and social influences in transition countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
John E. Anderson
Keyword(s):  
Peer Effects ◽  
Social Influences ◽  
Transition Countries ◽  
Ordered Probit ◽  
Tax Morale ◽  
Content Type ◽  
Probit Models ◽  
Tax Systems ◽  
Ordered Probit Models ◽  
Practical Implications

PurposeAnalyze how peer effects and social influences affect attitudes and responses to corruption in tax systems, identifying factors that improve tax morale.Design/methodology/approachLife in Transition Survey (LITS III, 2016) data are analyzed using ordered probit models of corrupt tax officials, Heckman-style selection models of the extent of corruption, probit models of reasons given for not reporting corruption and ordered probit models of the frequency of informal payments to tax officials.FindingsPeer effects and social influences significantly affect perceptions of and responses to corruption. Tax morale is supported in communities where people trust one another, where there is greater respect for the law and where people can achieve greater life satisfaction.Research limitations/implicationsResults are specific to transition countries represented in the data.Practical implicationsFindings can help improve tax morale and stabilize fiscal systems in transition countries.Social implicationsEnhanced tax morale can be facilitated by building inclusive, respectful and transparent institutions.Originality/valueThis study uses the latest LITS III data with a focus on peer effects and social influences, with improved empirical strategies.

Securitization and Italian banks’ risk during the crisis

2014 ◽  
Vol 15 (4) ◽  
pp. 458-478 ◽  
Author(s):  
Francesca Battaglia ◽  
Maria Mazzuca
Keyword(s):  
Financial Crisis ◽  
Credit Risk ◽  
Risk Profile ◽  
Ordered Probit ◽  
Empirical Literature ◽  
Basel Iii ◽  
Content Type ◽  
Probit Models ◽  
Different Types ◽  
Ordered Probit Models

Purpose – The purpose of this study was to examine the 2007-2009 financial crisis to analyze how securitization relates to the Italian bank risk profile, both in terms of credit and liquidity risks. Design/methodology/approach – To test our research hypotheses, we adopt ordered probit models, in which we regress the changes in credit risk and liquidity on a set of regressors, including two securitization dummy variables plus a vector of control variables. Findings – Our results show that the impact of securitization on the originators risk-taking is not uniform. When credit risk is considered, the securitization effects seem to be statistically significant only during the crisis period. However, when we turn to analyze the bank’s liquidity position, our results show that securitization improves it both during the pre-crisis and the crisis years. Our results support the Basel III initiatives aimed to realize a better integration between the different types of risks (i.e. credit and liquidity risks). Research limitations/implications – The major limitation of our study is related to the analyzed geographic area. Practical implications – First, our results support the Basel III initiatives aimed to realize a better integration between the different types of risks (i.e. credit and liquidity risks). In general, the broad policy implication of the paper is that in some contexts, such as the Italian market, securitization does not necessarily produce negative effects in terms of bank’s risk. Originality/value – This study contributes to the empirical literature on the effects of securitization for banks in several ways. First, we consider the complexity of the bank’s risk profile; second, despite the importance of the Italian securitization market, there is a research void on it. Furthermore, unlike previous studies, our analysis covers the period 2000-2009, including the financial crisis years. Finally, to our knowledge, our methodology (ordered probit models) has not been used in the past in this context.

scholarly journals An Analysis of Consumer Preferences for Value-Added Seafood Products Derived from Crawfish

2002 ◽  
Vol 31 (2) ◽  
pp. 157-170 ◽  
Author(s):  
R. Wes Harrison ◽  
Timothy Stringer ◽  
Witoon Prinyawiwatkul
Keyword(s):  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Value Added ◽  
Utility Functions ◽  
Ordered Probit ◽  
Probit Models ◽  
Seafood Products ◽  
Ordered Probit Models ◽  
Old Men

Conjoint analysis is used to evaluate consumer preferences for three consumer-ready products derived from crawfish. Utility functions are estimated using two-limit tobit and ordered probit models. The results show women prefer a baked nugget or popper type product, whereas 35- to 44-year-old men prefer a microwavable nugget or patty type product. The results also show little difference between part-worth estimates or predicted rankings for the tobit and ordered probit models, implying the results are not sensitive to assumptions regarding the ordinal and cardinal nature of respondent preferences.

An analysis of motorcycle injury and vehicle damage severity using ordered probit models

2002 ◽  
Vol 33 (4) ◽  
pp. 445-462 ◽  
Author(s):  
Mohammed A. Quddus ◽  
Robert B. Noland ◽  
Hoong Chor Chin
Keyword(s):  
Ordered Probit ◽  
Probit Models ◽  
Ordered Probit Models

On the importance of the probabilistic model in identifying the most decisive games in a tournament

2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Francisco Corona ◽  
Juan de Dios Tena Horrillo ◽  
Michael Peter Wiper
Keyword(s):  
Statistical Approach ◽  
Decision Makers ◽  
Ordered Probit ◽  
World Cup ◽  
Fifa World Cup ◽  
Probit Models ◽  
Great Relevance ◽  
Ordered Probit Models ◽  
Original Measure

AbstractIdentifying the decisive matches in international football tournaments is of great relevance for a variety of decision makers such as organizers, team coaches and/or media managers. This paper addresses this issue by analyzing the role of the statistical approach used to estimate the outcome of the game on the identification of decisive matches on international tournaments for national football teams. We extend the measure of decisiveness proposed by Geenens (2014) in order to allow us to predict or evaluate the decisive matches before, during and after a particular game on the tournament. Using information from the 2014 FIFA World Cup, our results suggest that Poisson and kernel regressions significantly outperform the forecasts of ordered probit models. Moreover, we find that although the identification of the most decisive matches is independent of the model considered, the identification of other key matches is model dependent. We also apply this methodology to identify the favorite teams and to predict the most decisive matches in 2015 Copa America before the start of the competition. Furthermore, we compare our forecast approach with respect to the original measure during the knockout stage.

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