Automobile Sales and Macroeconomic Variables: A Pooled Mean Group Analysis for Asean Countries

Muhammad, Fidlizan

doi:10.9790/487x-0211521

Cited by 10 publications

(13 citation statements)

References 21 publications

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“…Different researchers agree on the fact that the existence of different dimensions consisting of perceived risk construct, both in the traditional context and in the online environment (Bagozzi et al, 1992) [12]. Trust has played a significant role in influencing consumers' intention to use internet services such as internet bank (Al-Ajam & Noor, 2013; Colakoglu et al, 2010;Muhammad et al, 2012;Wiener, 1982) [17]- [20].…”

Section: Literature Reviewmentioning

confidence: 99%

E-era (Digital Economy) Impact on Consumer Electronic Purchase Intention—A Pragmatic Analysis of Pakistani Consumer with Integration of TAM and TPB with Perceived Risk, Perceived Credibility and Perceived Benefit

Khalid¹,

Cola²,

Salman³

2020

JOEBM

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Section: Literature Reviewmentioning

confidence: 99%

E-era (Digital Economy) Impact on Consumer Electronic Purchase Intention—A Pragmatic Analysis of Pakistani Consumer with Integration of TAM and TPB with Perceived Risk, Perceived Credibility and Perceived Benefit

Khalid¹,

Cola²,

Salman³

2020

JOEBM

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“…Furthermore, food inflation in South Africa has been more persistent than the inflation of other commodities, thus considered as an important source of underlying inflationary pressures in the economy (Rangasamy, 2010). Considering that several studies have established a significant correlation between inflation and automobile sales (Apec, 2012;Chifurira, Mudhombo, Chikobvu, & Dubihlela, 2014;McGowan, 1984;Muhammad, Hussin, Razak, Rambeli & Tha, 2013;Muhammad, Hussin & Razak, 2012;Zide, 2012), it is therefore important to seek to establish the possible existing link between food inflation and vehicle purchases in South Africa. Although several other studies also identified food to be one of the factors that influence purchase decisions (Cheng, Sims & Teegen, 1997;Makatouni, 2002;Munchanda, Ansari & Gupta, 1999;Pieterse, 2009;Rimal, Moon & Balasubramanian, 2005), there appears to be an absence of research that directly links food inflation to passenger vehicle purchases.…”

Section: Introductionmentioning

confidence: 99%

Food Inflation and Passenger Vehicle Purchases in South Africa: Cointegration, Short Run Dynamics and Causality

Tshiakambila¹,

Chisasa²

2017

JEBS

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Food inflation in South Africa has been observed to be a major source of underlying inflationary pressures in the economy due to its persistence beyond that of other commodities. In this regard, this study investigated whether an increase in the prices of food products has a significant effect on passenger vehicle purchases in South Africa. The Phillip-Perron (PP) test, showed vehicle purchases to be stationary in level while food inflation was stationary in the first difference. Using secondary time series data, the Johansen cointegration test revealed that the variables in the vehicle purchase function were cointegrated in the long run. The vector error correction model showed a long-run relationship, albeit insignificant, between food inflation and vehicle purchases. There was no evidence of a short run relationship between the two variables. The Granger causality test revealed no causal effect between the variables, regardless of the direction of the test. The study concluded that an increase in the prices of food products will not play a considerable role in consumers’ vehicle purchase decisions in South Africa. These results have policy implications for the motor and related industries.

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“…al., 2012Busse, et. al., 2009 Price of raw material Madlani, Ulvestad, 2012;Ford Motor Company, 2012 Interest rate Muhammad, et. al., 2012;Haugh, et.…”

Section: Introductionmentioning

confidence: 99%

“…al., 2012;Haugh, et. al., 2010;Erdem, Nazlioglu, 2013Petroleum price Ford Motor Company, 2012, Kumar, Maheswaran, 2013 Unemployment rate Muhammad, et. al., 2012 Interest Haugh, et.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the Factors that Influence the EU Automobile Industry during the Period of Financial Crisis

Gasparėnienė

Remeikienė

2014

MJSS

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Since EU automobile industry has not completely recovered after the recent financial crisis, it is purposeful to identify what factors could have determined the recession of the EU automobile industry. The article is aimed at the evaluation of the factors that influence the automobile industry in the EU during the period of financial crisis. The methods of the research include correlation analysis and multifaceted regression analysis. The research has enabled to establish the impact of macroeconomic factors on the EU automobile production whereas the factors that influence the EU automobile demand have been researched only partly due to non-stationarity of the statistical data. Although the data was differentiated to make it stationary, the differentiation too significantly changed data values and correlation coefficients to make reliable conclusions. For the comprehensive analysis, the Vector Error Correlation Model (VECM) should be applied.

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Automobile Sales and Macroeconomic Variables: A Pooled Mean Group Analysis for Asean Countries

Cited by 10 publications

References 21 publications

E-era (Digital Economy) Impact on Consumer Electronic Purchase Intention—A Pragmatic Analysis of Pakistani Consumer with Integration of TAM and TPB with Perceived Risk, Perceived Credibility and Perceived Benefit

E-era (Digital Economy) Impact on Consumer Electronic Purchase Intention—A Pragmatic Analysis of Pakistani Consumer with Integration of TAM and TPB with Perceived Risk, Perceived Credibility and Perceived Benefit

Food Inflation and Passenger Vehicle Purchases in South Africa: Cointegration, Short Run Dynamics and Causality

Evaluation of the Factors that Influence the EU Automobile Industry during the Period of Financial Crisis

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