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Record W3122462964

The Influence of Country-of-Origin Labeling for Lentils on Consumer Preference: A Study with Reference to Sri Lanka

2014· article· en· W3122462964 on OpenAlex
Ramu Govindasamy, Surendran Arumugam, Isaac Vellangany

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock and Poultry Management
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingProduct (mathematics)Consumption (sociology)PreferenceBusinessCountry of originGovernment (linguistics)Socioeconomic statusMarketingAgricultural economicsEconomicsPopulationMathematics
DOInot available

Abstract

fetched live from OpenAlex

Lentils have been a part of the human diet for ages, especially in the developing countries, as a source of protein, vitamins and minerals. Understanding and identifying consumers who care about the country-of-origin of these lentils are important in strategic lentil marketing. Thus, the present study aims to identify consumers who think that countryof-origin is an important attribute while purchasing red lentils by conducting an intercept survey of 300 consumers in grocery stores, supermarkets and other family-run stores in Sri Lanka between July-August 2010. This survey collected detailed information relating to demographic, socioeconomic, grocery purchasing pattern and behavior. The results obtained using logit model indicate that those who frequently consume lentils every day, who use non-packed red lentils, who use packed red lentils with store's own label, who think brand is an important attribute, who work in the government sector, and who earn between 45,001 and 65,000 Sri Lankan rupees per month are more likely to consider the country-of-origin as an important factor while purchasing red lentils.(ProQuest: ... denotes formulae omitted.)IntroductionConsumers differ in their consumption behavior with respect to taste and preference. Most of the empirical studies (Green and Sirinivasan, 1990; Hair et al., 2006; and Ares and Deliza, 2010), so far, analyzed the relationship between the quantity consumed of a specific product and different characteristics of the household. It failed to adequately address the consumer preference, such as the number of different products a household consumes in a specific time period. Understanding variety in food consumption is important for nutrition and for protection against chronic diseases (Randall et al., 1985; Krebs-Smith et al., 1987; Vecchia et al., 1997; and Hatloy et al., 1998). In a developing economy, lentils play an important role in the human diet and is often referred to as the 'poor man's meat' because it contains high amount of protein, fiber, vitamins and minerals. They are also low in sodium, fat and cholesterol. Lentils support general wellbeing and reduce the risk of illnesses and hence are good in controlling diabetes, preventing coronary and cardiovascular disease and lowering blood cholesterol levels due to their high-fiber content (Agriculture and Agri-Food Canada, 2012).Legumes naturally fix atmospheric nitrogen, which provides a nutrient for their growth, and maintains soil fertility for subsequent crop rotations. This nitrogen fixation ability of legumes helps to cut down on the application of artificial nitrogen fertilizer and promotes environmental sustainability (Muehlbauer and Tullu, 1997; Graham and Vance, 2003; and Gowda et at, 2007). As a consequence of pulse production shortfalls in recent years, the poor has been affected by increasing food prices (Akibode and Maredia, 2011; Chandrashekhar, 2011; and Prensa Libre.com, 2012). High prices limit the ability of the poor to purchase sufficient quantities (as indicated by income elasticity data). High prices can also force the poor to change their diets towards less nutritious foods- a caution issued by a recent international conference on 'Leveraging Agriculture for Improving Nutrition and Health' (IFPRI, 2010).Joshi (1998), Rao et at (2010), and Akibode and Maredia (2011) indicate four reasons for slower yield growth in grain legumes: ( 1 ) Low input use; (2) Shifts in marginal growing areas; (3) Less policy support than other commodities; and (4) Limited RSdD and dissemination of improved technology Only 25% of the grain legume crop area in the developing world is high input use area/irrigated as compared to 60% of the cereal area. Similarly, only 6% of fertilizers in Sub-Saharan Africa are used on grain legumes as compared to 26% for maize and 11% for wheat/barley (Bumb et at, 2011).In the family of legumes, lentils production was significantly influenced by South Asian countries, Europe, North America, South America and Africa (Akibode and Maredia, 2011). …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.253
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it