Social Networks, Exchange Rate Fluctuation, and Economic Growth: ARDL Approach

Ebrahimi, Pejman; Alipour, Hamidreza; Gholampour, Abbas; Ahmadi, Maryam

doi:10.2478/tekhne-2019-0011

Cited by 7 publications

(5 citation statements)

References 54 publications

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“…To the best of the authors’ knowledge, we have not been able to track previous applications of the ARDL method in studying availability or access-related parameters of food security. However, there are abundant examples of an effective utilization of the ARDL in revealing the interplays between domestic supply and imports [ 53 , 95 ], trade balances [ 53 , 96 , 97 ], inflation [ 98 , 99 ], international currency exchange [ 100 , 101 ], and health [ 102 ].

where Δ = first difference operator;

= constant term;

= short-run elasticities of the variables; i = ARDL model lag order;

= error correction term;

= error disturbance; t = time.…”

Section: Methodsmentioning

confidence: 99%

Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries

Erokhin

Tianming

2020

IJERPH

231

173

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The stability of food supply chains is crucial to the food security of people around the world. Since the beginning of 2020, this stability has been undergoing one of the most vigorous pressure tests ever due to the COVID-19 outbreak. From a mere health issue, the pandemic has turned into an economic threat to food security globally in the forms of lockdowns, economic decline, food trade restrictions, and rising food inflation. It is safe to assume that the novel health crisis has badly struck the least developed and developing economies, where people are particularly vulnerable to hunger and malnutrition. However, due to the recency of the COVID-19 problem, the impacts of macroeconomic fluctuations on food insecurity have remained scantily explored. In this study, the authors attempted to bridge this gap by revealing interactions between the food security status of people and the dynamics of COVID-19 cases, food trade, food inflation, and currency volatilities. The study was performed in the cases of 45 developing economies distributed to three groups by the level of income. The consecutive application of the autoregressive distributed lag method, Yamamoto’s causality test, and variance decomposition analysis allowed the authors to find the food insecurity effects of COVID-19 to be more perceptible in upper-middle-income economies than in the least developed countries. In the latter, food security risks attributed to the emergence of the health crisis were mainly related to economic access to adequate food supply (food inflation), whereas in higher-income developing economies, availability-sided food security risks (food trade restrictions and currency depreciation) were more prevalent. The approach presented in this paper contributes to the establishment of a methodology framework that may equip decision-makers with up-to-date estimations of health crisis effects on economic parameters of food availability and access to staples in food-insecure communities.

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where Δ = first difference operator;

= constant term;

= short-run elasticities of the variables; i = ARDL model lag order;

= error correction term;

= error disturbance; t = time.…”

Section: Methodsmentioning

confidence: 99%

Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries

Erokhin

Tianming

2020

IJERPH

231

173

View full text Add to dashboard Cite

show abstract

“…This implies that for sustainable entrepreneurship of food industry in Nigeria, the Internet should be made available to offer connectivity of all the social platform that will enable advertisement and dissemination of vital information about the products and quality rendering customers services with less cost. Social networks is playing an ever-increasing role in economics, and will play it in years to come (Ebrahimi et al, 2019). Social media remains the vital tool for entrepreneurship promotion amongst young people (Himel et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Identifying the key factors of sustainable entrepreneurship in the Nigerian food industry: The role of media availability

Yakubu¹,

Salamzadeh²,

Bouzari³

et al. 2022

EBER

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The article's objective is to identify how media could facilitate the effect of sustainable entrepreneurship on consumer purchase behaviour, based on evidence from the food industry in Nigeria. Research Design & Methods:The research population was experts who have sufficient information, expertise, and experience in the field of sustainable entrepreneurship and marketing, and pay attention to online social platforms and consumer purchase behaviour. There population amounted to 33 interviewed experts. A combination of Delphi-ANP (Analytic Network Process) approaches was used. Results showed that customers' satisfaction was the key dimension that affects sustainable entrepreneurship in the Nigerian food industry. Findings: 'Access to the internet' had the highest rank (F15) (0.33741), which showed that it was the most important factor in developing sustainable entrepreneurship of food industry, regarding to media role in Nigeria. 'production process and the environment' (F1) (0.33461) ranked second and was close to the 'price satisfaction' (F17) (0.32049) in importance. In addition, managers should not ignore the 'excellent functional quality of the brand,' 'personal attributes of customers' care' and 'packaging quality,' since these three factors were ranked fourth, fifth and sixth, respectively. Implications & Recommendations:The entrepreneurs should focus more on this dimension to develop a sustainable food industry in Nigeria. Meanwhile, media availability had a significant role in developing sustainable entrepreneurship in Nigeria. Contribution & Value Added: Most researchers focused on sustainable entrepreneurship without considering the impacts of media as a channel of achieving it by changing the consumers' behaviours towards consuming a particular product. Therefore, this research -investigated how media could moderate the effect of sustainable entrepreneurship on consumer purchase behaviour, taking evidence from the food industry in Nigeria. Article type:research article

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“…The main research hypothesis was tested using the panel data approach (Al-Homaidi et al 2020) initiated by doing the unit root test for stationary. To ensure the use of the panel method, a likelihood ratio test (LRT) was used (Ebrahimi et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Financial Performance of Iranian Banks from 2013 to 2019: A Panel Data Approach

Ebrahimi

Fekete-Farkas

Bouzari

et al. 2021

JRFM

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It is widely believed that the financial system is dependent on the banking industry, and its strength and development are vital for economic prosperity. This paper tried to show the financial performance of Iranian banks listed on the Tehran Stock Exchange (TSE) during 2013–2019, as the research population. The statistical population included 18 banks listed on the TSE from 2013 to 2019, which were sampled using a screening method. The results indicated a significant relationship between explanatory variables of capital ratio and the financial performance of banks in all models. However, a significant negative relationship was found between the inflation rate and the financial performance of banks in all models. Furthermore, it seems that banks with high asset strength are more profitable than the others. Regulators should guarantee that banks remain highly capitalized for a viable banking sector in Iran.

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Social Networks, Exchange Rate Fluctuation, and Economic Growth: ARDL Approach

Cited by 7 publications

References 54 publications

Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries

Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries

Identifying the key factors of sustainable entrepreneurship in the Nigerian food industry: The role of media availability

Financial Performance of Iranian Banks from 2013 to 2019: A Panel Data Approach

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