Template-Type: ReDIF-Article 1.0 Author-Name: Editorial Office Title: Index of reviewers 2023 Journal: Agricultural Economics Pages: I-III Volume: 70 Issue: 1 Year: 2024 File-URL: http://agricecon.agriculturejournals.cz/artkey/age-202401-0001_index-of-reviewers-2023.php File-Format: text/html Handle: RePEc:caa:jnlage:v:70:y:2024:i:1:id:age-202401-0001 Template-Type: ReDIF-Article 1.0 Author-Name: Shuai Liu Author-Workplace-Name: Center for Rural Economy in Major Grain Producing Areas, Jilin Agricultural University, Changchun, P.R. China Author-Name: Dingyu Liu Author-Workplace-Name: College of Economics and Management, Jilin Agricultural University, Changchun, P.R. China Author-Name: Sibo Ge Author-Workplace-Name: College of Economics and Management, Jilin Agricultural University, Changchun, P.R. China Title: Impact of external shocks on international corn price fluctuations Abstract: In recent years, the external shock represented by COVID-19 has caused significant fluctuations in global corn prices. Based on the weekly data on international corn prices from 2020 to 2023, this paper constructs autoregressive conditional heteroskedasticity (ARCH) class and time-varying parameter - vector autoregression (TVP-VAR) models. After analysing the characteristics of corn price fluctuations, it further analyses the influence of external uncertainties such as COVID-19, international finance, the corn futures market, and international exports of corn on corn price fluctuations. The results show that international corn price fluctuations always have significant asymmetry. Nevertheless, the influence of past changes on the future will gradually disappear, and the corn market is not characterised by high risk and high return because of the phenomenon of flat or declining absolute returns during the periods of high volatility. All the selected external shocks also have a time-varying impact on corn price fluctuations, and there are differences in the impact size, impact direction, and impact duration. The external shocks led by COVID-19 had a transmission effect on other factors and then affected corn price fluctuations. Keywords: autoregressive conditional heteroskedasticity (ARCH) class model, corn futures market, COVID-19, international exports of corn, time-varying parameter -, vector autoregression (TVP-VAR) model Journal: Agricultural Economics Pages: 1-11 Volume: 70 Issue: 1 Year: 2024 DOI: 10.17221/318/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/318/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202401-0002.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:1:id:318-2023-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Massimiliano Calvia Author-Workplace-Name: Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy Title: Beef, lamb, pork and poultry meat commodity prices: Historical fluctuations and synchronisation with a focus on recent global crises Abstract: This work addresses short-run fluctuations of nominal global meat commodity prices, that is, beef, lamb, pork, and poultry, from January 1980 to October 2023, thus including the COVID-19 pandemic and the Russo-Ukrainian conflict. It tries to answer the following questions: how do fluctuations in meat commodity prices behave historically? Are meat commodity prices synchronised? Do their co-movements show specific features during recent global crises such as the COVID-19 pandemic and the Russo-Ukrainian war? Using a 'classical' framework of cycle analysis, the work provides a series of turning points upon which statistics on phase and cycle durations and amplitudes are generated. Care is put into highlighting the pros and cons of employing algorithms based on turning points instead of harmonic models. Global nominal meat prices feature cycles lasting between 3.8 and 4.6 years on average. Pork prices, contrary to other meat prices, are characterised by a highly volatile and prevalently contractionary behaviour. From a policy perspective, the article provides results on the synchronisation of couples of meat prices and on the existence of a common meat price cycle both historically and during the COVID-19 pandemic and the Russo-Ukrainian war. Keywords: classical cycle, COVID-19 pandemic, meat price cycle, meat price synchronisation, Russo-Ukrainian war Journal: Agricultural Economics Pages: 24-33 Volume: 70 Issue: 1 Year: 2024 DOI: 10.17221/361/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/361/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202401-0003.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:1:id:361-2023-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Ozgur Bor Author-Workplace-Name: Department of International Trade and Finance, Faculty of Commercial Sciences, Baskent University, Ankara, Türkiye Author-Name: Nihat Dagistan Author-Workplace-Name: Department of International Trade and Finance, Faculty of Commercial Sciences, Baskent University, Ankara, Türkiye Title: The impact of fluctuating international fertiliser prices and exchange rates on domestic fertiliser prices in Türkiye Abstract: This study aims to examine the relationship between domestic and international prices of di-ammonium phosphate (DAP) and urea fertilisers together with exchange rates in Türkiye using the non-linear autoregressive distributed lag (NARDL) model on monthly data for the period of January 2011 to September 2022. The result of the study provides empirical evidence about the presence of asymmetries in the short and long-run among these fertilisers. The findings of the study confirm that international prices of di-ammonium phosphate and urea fertilisers have a symmetric effect in the long-run and exchange rate of the Turkish lira to US dollars has an asymmetric effect on the domestic prices of fertilisers in the short run. This is the first study in Türkiye to delineate the dynamic simultaneous interaction among these markets and its findings can be extremely useful for academicians, and policymakers to make decisions regarding the market structure of countries that do not have sufficient domestic resources for fertiliser supply and are dependent on imports. Keywords: di-ammonium phosphate, NARDL, price and exchange rate transmission, urea Journal: Agricultural Economics Pages: 12-23 Volume: 70 Issue: 1 Year: 2024 DOI: 10.17221/308/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/308/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202401-0004.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:1:id:308-2023-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Ioan-Sebastian Brumă Author-Workplace-Name: Gheorghe Zane Institute for Economic and Social Research, Romanian Academy, Iasi Branch, Iasi, Romania Author-Name: Cristina Cautisanu Author-Workplace-Name: Gheorghe Zane Institute for Economic and Social Research, Romanian Academy, Iasi Branch, Iasi, Romania Author-Workplace-Name: Integrated Centre of Environmental Science Studies in the North East Region (CERNESIM), Institute of Interdisciplinary Research, Alexandru Ioan Cuza University of Iasi, Iasi, Romania Author-Name: Lucian Tanasă Author-Workplace-Name: Gheorghe Zane Institute for Economic and Social Research, Romanian Academy, Iasi Branch, Iasi, Romania Author-Name: Simona-Roxana Ulman Author-Workplace-Name: Gheorghe Zane Institute for Economic and Social Research, Romanian Academy, Iasi Branch, Iasi, Romania Author-Workplace-Name: Integrated Centre of Environmental Science Studies in the North East Region (CERNESIM), Institute of Interdisciplinary Research, Alexandru Ioan Cuza University of Iasi, Iasi, Romania Author-Name: Meda Gâlea Author-Workplace-Name: Gheorghe Zane Institute for Economic and Social Research, Romanian Academy, Iasi Branch, Iasi, Romania Author-Workplace-Name: Doctoral School of Economics and Business Administration, Alexandru Ioan Cuza University of Iasi, Iasi, Romania Author-Name: Alexandra Raluca Jelea Author-Workplace-Name: Academy of Romanian Scientists, Bucharest, Romania Title: Does the payment method matter in online shopping behaviour? Study on the Romanian market of vegetables during the pandemic crisis Abstract: The present study, centred on customer online shopping behaviours, aims at analysing the frequency of vegetable acquisition and its main determining factors, while considering different methods of payment, i.e. cash, debit card, and bank transfer on the Romanian market. Using data obtained from a questionnaire applied nationwide, a descriptive analysis and logistic regression were performed. An immature market in terms of digitalisation, characterised by the customers' mistrust in online bank transfers, but also in products sold online was observed. In addition, the income, education, gender, and size of the household appeared to be significant in relation to the frequency of online orders for vegetables. Moreover, our results indicated that a higher customer readiness for a high price, large quantity, and a monthly delivery subscription comes bundled with a higher frequency of acquisition in the case of bank transfers. Our findings are especially focusing on the vegetable local producers' promotion process, with its main desideratum of properly responding through adaptation to the continuously changing customers' requirements, particularly when special contexts like the pandemic appear. Accordingly, our paper intended to offer several concrete responses in this regard, indicating some possible paths for better managing the communication process on the vegetable market. Keywords: fresh vegetables, methods of payment, online purchasing behaviours, particularities of the offer, Romania, socio-demographic and economic factors Journal: Agricultural Economics Pages: 34-47 Volume: 70 Issue: 1 Year: 2024 DOI: 10.17221/314/2023-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/314/2023-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202401-0005.txt Handle: RePEc:caa:jnlage:v:70:y:2024:i:1:id:314-2023-AGRICECON