Food prices response to global and national factors: Evidence beyond asymmetry
dc.authorid | Derindag, Omer Faruk/0000-0002-6693-0628 | |
dc.authorwosid | Wong, Wing-Keung/JCN-7787-2023 | |
dc.authorwosid | Derindag, Omer Faruk/ABI-2557-2020 | |
dc.contributor.author | Derindag, Omer Faruk | |
dc.contributor.author | Chang, Bisharat Hussain | |
dc.contributor.author | Gohar, Raheel | |
dc.contributor.author | Wong, Wing-Keung | |
dc.contributor.author | Bhutto, Niaz Ahmed | |
dc.date.accessioned | 2024-08-04T20:53:31Z | |
dc.date.available | 2024-08-04T20:53:31Z | |
dc.date.issued | 2023 | |
dc.department | İnönü Üniversitesi | en_US |
dc.description.abstract | The current series of studies examine how local food prices are affected by domestic and international factors. This research advances the existing body of knowledge by examining this effect at different quantiles, frequencies, and times. We use research data from January 1999 to August 2022 using three local and six global variables as independent variables. Additionally, our study uses recent econometric methods, including Wavelet Coherence, Quantile-on-Quantile Regression (QQR), and Granger Causality in Quantiles (GCQ). Moreover, this research uses the Quantile Regression (QR) approach to determine how reliable the findings are. Based on the GCQ approach, the results demonstrate that the correlation persists at most of the quantiles. Moreover, the WC results demonstrate a substantial association between local prices of food and the independent factors across various frequencies and times. Additionally, QQR estimates demonstrate that the impact of exogenous variables on food prices vary among quantiles. These findings are also supported by the QR method. Last but not least, our study offers policy suggestions obtained based on the results of this study. | en_US |
dc.description.sponsorship | Asia University, China Medical University Hospital, The Hang Seng University of Hong Kong, Research Grants Council (RGC) of Hong Kong [12502814, 12500915]; Ministry of Science and Technology (MOST) [106-2410-H-468-002, 107-2410-H-468-002-MY3] | en_US |
dc.description.sponsorship | The fourth author would like to thank Robert B. Miller and Howard E. Thompson for their continuous guidance and encouragement. This research has been supported by Asia University, China Medical University Hospital, The Hang Seng University of Hong Kong, Research Grants Council (RGC) of Hong Kong (project numbers 12502814 and 12500915), and the Ministry of Science and Technology (MOST, Project Numbers 106-2410-H-468-002 and 107-2410-H-468-002-MY3), Taiwan. | en_US |
dc.identifier.doi | 10.1080/23322039.2023.2187128 | |
dc.identifier.issn | 2332-2039 | |
dc.identifier.issue | 1 | en_US |
dc.identifier.scopus | 2-s2.0-85150348464 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.uri | https://doi.org/10.1080/23322039.2023.2187128 | |
dc.identifier.uri | https://hdl.handle.net/11616/101230 | |
dc.identifier.volume | 11 | en_US |
dc.identifier.wos | WOS:000950037700001 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis As | en_US |
dc.relation.ispartof | Cogent Economics & Finance | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | national factors | en_US |
dc.subject | global factors | en_US |
dc.subject | domestic food prices | en_US |
dc.subject | nonlinear methods | en_US |
dc.subject | India | en_US |
dc.title | Food prices response to global and national factors: Evidence beyond asymmetry | en_US |
dc.type | Article | en_US |