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Do The Income And Price Changes Affect Consumption In The Emerging 7 Countries? Empirical Evidence Using Quantile Ardl Model

Author

Listed:
  • RAHEEL GOHAR

    (College of Business Administration, Al Yamamah University, Riyadh, Saudi Arabia)

  • SALIM BAGADEEM

    (Faculty of Business Studies Arab Open University, Riyadh 11681 Saudi Arabia)

  • BISHARAT HUSSAIN CHANG

    (Department of Management Sciences, Shaheed Zulifqar Ali Bhutto Institute of Science and Technology, Larkana, Pakistan)

  • MUYU ZONG

    (School of Law Shanghai University, 200444, Shanghai, China)

Abstract

Various empirical studies have been conducted. However, these studies fail to examine the asymmetric effect of income and price across different quantiles of consumption in the emerging 7 countries. This study extends the existing literature using a novel approach called the quantile ARDL model along with the standard nonlinear ARDL model. Findings based on the nonlinear ARDL model indicate that positive shocks in income positively and significantly affect consumption in the short- and long-run. On the other hand, negative shocks in income do not significantly affect consumption which, therefore, suggests an asymmetric effect of income on consumption. In addition, the quantile ARDL estimates indicate that income positively affects consumption across all quantiles of the consumption except the 95th quantile. Moreover, the quantile ARDL estimates indicate that price variations negatively affect consumption across all emerging 7 countries. These estimates suggest that devising policies without considering the asymmetric effect may lead to unfavorable consequences.

Suggested Citation

  • Raheel Gohar & Salim Bagadeem & Bisharat Hussain Chang & Muyu Zong, 2022. "Do The Income And Price Changes Affect Consumption In The Emerging 7 Countries? Empirical Evidence Using Quantile Ardl Model," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-24, December.
  • Handle: RePEc:wsi:afexxx:v:17:y:2022:i:04:n:s2010495222500245
    DOI: 10.1142/S2010495222500245
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    Citations

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    Cited by:

    1. Ennadifi Imane & Bisharat Hussain Chang & Tarek Abbas Elsherazy & Wing-Keung Wong & Mohammed Ahmar Uddin, 2023. "The External Exchange Rate Volatility Influence on The Trade Flows: Evidence from Nonlinear ARDL Model," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(2), pages 75-98, June.
    2. Feng, Jie & Gao, Junhong, 2023. "Natural resource curse hypothesis and governance: Understanding the role of rule of law and political risk in the context of China," Resources Policy, Elsevier, vol. 85(PB).
    3. Oshamah Ibrahim Khalaf & Ashokkumar. S.R & S.Dhanasekaran & Ghaida Muttashar Abdulsahib & Premkumar. M, 2023. "A Decision Science Approach Using Hybrid EEG Feature Extraction and GAN-Based Emotion Classification," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(1), pages 172-191, March.
    4. Ze, Fu & Wong, Wing-Keung & Alhasan, Tariq kamal & Al Shraah, Ata & Ali, Anis & Muda, Iskandar, 2023. "Economic development, natural resource utilization, GHG emissions and sustainable development: A case study of China," Resources Policy, Elsevier, vol. 83(C).
    5. Bisharat Hussain Chang & Khalil Ahmed Channa & Emmanuel Uche & Osamah Ibrahim Khalaf & Osamah Waheed Ali, 2022. "Analyzing the impacts of terrorism on innovation activity: A cross country empirical study," Advances in Decision Sciences, Asia University, Taiwan, vol. 26(Special), pages 124-161, December.
    6. Xiaohui GONG & Bisharat Hussain CHANG & Xi CHEN & Kaiyang ZHONG, 2023. "Asymmetric Effects of Exchange Rates on Energy Demand in E7 Countries: New Evidence from Multiple Thresholds Nonlinear ARDL Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 125-142, June.
    7. Wang, Feipeng & Wong, Wing-Keung & Wang, Zheng & Albasher, Gadah & Alsultan, Nouf & Fatemah, Ambreen, 2023. "Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions," Resources Policy, Elsevier, vol. 85(PA).
    8. Zhang, Mingming & Wong, Wing-Keung & Kim Oanh, Thai Thi & Muda, Iskandar & Islam, Saiful & Hishan, Sanil S. & Abduvaxitovna, Shamansurova Zilola, 2023. "Regulating environmental pollution through natural resources and technology innovation: Revisiting the environment Kuznet curve in China through quantile-based ARDL estimations," Resources Policy, Elsevier, vol. 85(PA).
    9. Wang, Xiang & Yin, Jian & Yang, Yao & Muda, Iskandar & Abduvaxitovna, Shamansurova Zilola & AlWadi, Belal Mahmoud & Castillo-Picon, Jorge & Abdul-Samad, Zulkiflee, 2023. "Relationship between the resource curse, Forest management and sustainable development and the importance of R&D Projects," Resources Policy, Elsevier, vol. 85(PA).
    10. Wei, Xuecheng & Hu, Weihua, 2023. "Revisiting resources curse hypothesis in China: Exploring the asymmetric effect of green investment and green innovation," Resources Policy, Elsevier, vol. 85(PB).
    11. Dong, Yangzi & Wong, Wing-Keung & Muda, Iskandar & Cong, Phan The & Duong Hoang, Anh & Ghardallou, Wafa & Ha, Ngo Ngan, 2023. "Do natural resources utilization and economic development reduce greenhouse gas emissions through consuming renewable and Clean Technology? A case study of China towards sustainable development goals," Resources Policy, Elsevier, vol. 85(PB).

    More about this item

    Keywords

    Nonlinear ARDL; quantile ARDL; consumption; E7 countries; distributional asymmetry;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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