Identifying Worldwide Interests in Organic Foods by Google Search Engine Data

Xu, Lingfeng; Zhong, Meiying; Li, Bin; Su, Ye; Tan, Jinglu; Gharibzahedi, Seyed Mohammad Taghi; Guo, Ya; Liu, Juan

doi:10.1109/access.2019.2945105

Cited by 12 publications

(4 citation statements)

References 51 publications

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“…However, despite the importance of this issue, there is no sufficient scientific attention paid to it. It is connected with two main facts: (1) there is no macroeconomic framework of the consumption detected (excluding the research of Liu et al, 2019 who have finally analyzed interest in organic food globally using data obtained from the Google search engine, and one of their conclusions is that organic food consumption is not correlated with GDP) and (2) when the national specifics of the market on the consumer level are taken into account, the income issue and spending habits are not considered as influenced by psychographic specifics of consumers.…”

Section: Discussionmentioning

confidence: 99%

“…Macroeconomic analysis of the relationship between organic food consumption and income is virtually absent from the literature. A rare exception is the study by Liu et al (2019), in which the authors analyze interest in organic food globally using data obtained from the Google search engine, and one of their conclusions is that organic food consumption is not correlated with GDP.…”

Section: Literature Reviewmentioning

confidence: 99%

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Global economic crisis impact on organic food consumption in the Czech Republic

Majerova,

Cizkova

2024

Front. Sustain. Food Syst.

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IntroductionThis study investigates the impact of the global economic crisis of 2008 on organic food consumption in the Czech Republic. The structure of this study includes general consumption attitudes and consumption of individual organic food items (organic milk). The goal of this study is to quantify the influence of selected income macroeconomic indicators on organic food consumption (in general and individually). This study is focused on analyzing how this impact changed after 2008 in both prospectives.MethodsMethodologically, the error correction methodology (ECM) has been applied. However, it has been modified to incorporate breakpoint analysis to model the impact of the global economic crisis on organic food consumption. Thus, the total consumption of organic food and consumption of organic milk has been investigated.ResultsEconometric verification of the estimated model proved that there was a statistically significant positive dependence of both indicators of organic food consumption on all the investigated indicators of income before 2008. Nonetheless, it was also proved that this dependence disappeared after the global economic recession in 2008. This retrospective analysis provides a valuable view of the mechanisms of organic food consumption changes caused by economic crises.DiscussionProspective repetition of the research with the data from the current crisis could enrich the theory of organic food consumption. On the one hand, the results of hypotheses testing could be verified, and thus, the mechanisms of consumer reactions to the crisis could be identified, and the model of reaction to the next crisis cycle could be developed so as not to harm radically this sector. On the other hand, the results of hypothesis testing could be denied, and thus, the evolution in organic food perception and consumption could be stated. In this case, the need to revise the so-far formulated theoretical approaches would be proved.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Global economic crisis impact on organic food consumption in the Czech Republic

Majerova,

Cizkova

2024

Front. Sustain. Food Syst.

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“…Notably, another study (Liu et al, 2019) leveraging Google Trends pinpointed organic milk, organic chicken, and organic apples as the primary organic foods that piqued consumer awareness in certain internationally countries. While our findings present some patterns in terms of the heightened interest in specific certified Romanian agrifood products, this results also illuminate with the help of big data nuanced differences in the consumer awareness landscape.…”

Section: Geographic Variationsmentioning

confidence: 99%

Consumer awareness and search trends for agrifood products certified with European Quality Schemes: PDO, PGI, and TSG - An analysis through Google Trends

GLOGOVEȚAN,

DABIJA,

POCOL

2023

BUASVMCN-FST

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This groundbreaking study leverages Google Trends to probe into consumer awareness of Romanian food products certified under European quality schemes, Protected Designation of Origin (PDO), Protected Geographical Indication (PGI), and Traditional Specialty Guaranteed (TSG), delivering prompt insights and addressing an existing research void. By adopting an innovative methodology through big data analytics - Google Trends and analyzing 12 sets of search terms, this study brings fresh insights to academic discourse and provides valuable information for marketers and policymakers. Prominent search interest was detected for 'Salam de Sibiu', ‘Plăcintă dobrogeană', and 'Magiun de prune Topoloveni', pointing to significant consumer familiarity. The study also unveiled regional search patterns, signifying location-based preferences, and potential marketing prospects. However, a marked contrast was found between the high interest in the products and the relatively low awareness of their European quality labels, highlighting a need for enhanced communication initiatives around these certifications. The study could be limited by its focus on Romanian certified food products, which may not be applicable to other geographical contexts. Future research endeavours may also seek to integrate data from Google Trends data with additional indicators of consumer behaviour.

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“…Search engine data were also used to forecast general economic indicators such as unemployment rates [20,21], and tourist consumptions [22]. Furthermore, search engine data has also been applied to other specific consumption categories, like box-office revenue [23] and organic foods market [24]. These studies indicate that the web search terms have relationships with social behaviour because it can reflect public demand, including railway passenger demand.…”

Section: Research On Web Search Datamentioning

confidence: 99%

Short‐term railway passenger demand forecast using improved Wasserstein generative adversarial nets and web search terms

Feng

Zhang

Liu

et al. 2021

IET Intelligent Trans Sys

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Accurately predicting railway passenger demand is conducive for managers to quickly adjust strategies. It is time-consuming and expensive to collect large-scale traffic data. With the digitization of railway tickets, a large amount of user data has been accumulated. We propose a method to predict railway passenger demand using web search terms data. In order to improve the prediction accuracy, we improved Wasserstein Generative Adversarial Nets (WGAN), which were good at generating and identifying data, by adding a predictor and supervised learning adversarial training to predict railway passenger demand. The improved WGAN could generate virtual data to expand real data, and use parallel data to predict railway passenger demand. We used search times of web search terms on different devices as training data to predict railway passenger demand in Beijing. The results show that the change in demand for railway passenger lags behind the change in the data of web search terms by one month. It is suitable for forecasting in advance. Compared with other forecasting methods, the improved WGAN performance is better, and the mean absolute percentage error is 1.98%. Because it can use mixed data for training and prediction, it has stronger adaptability when data scale decreases. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Identifying Worldwide Interests in Organic Foods by Google Search Engine Data

Cited by 12 publications

References 51 publications

Global economic crisis impact on organic food consumption in the Czech Republic

Global economic crisis impact on organic food consumption in the Czech Republic

Consumer awareness and search trends for agrifood products certified with European Quality Schemes: PDO, PGI, and TSG - An analysis through Google Trends

Short‐term railway passenger demand forecast using improved Wasserstein generative adversarial nets and web search terms

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