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Economic outlook of rice crops in Pakistan: a time series analysis (1970–2015)

Author

Listed:
  • Abdul Rehman

    (Anhui Agricultural University)

  • Luan Jingdong

    (Anhui Agricultural University)

  • Abbas Ali Chandio

    (Sichuan Agricultural University, Sichuan)

  • Muhammad Shabbir

    (University of Kotli Azad Jammu & Kashmir)

  • Imran Hussain

    (Allama Iqbal Open University)

Abstract

Background The basic objective of this study was to examine the relationship between the rice output, its production area, water availability, and agricultural gross domestic product (GDP) of Pakistan. Annual time series data for 1970–2015 were collected from the National Food Security and Research, Economic Survey of Pakistan, and Pakistan Bureau of Statistics (various publications). Methods Rice crop data were analyzed using the ordinary least square method and the augmented Dickey–Fuller test. Were interpreted using the Johansen cointegration test. Results Our study revealed the existence of a long-standing relationship between rice output, its production area, and water availability with the agricultural GDP of Pakistan. Regression results indicate that rice output and cultivated area have a significant and positive relationship with agricultural GDP, while water availability has a negative relationship. Conclusions The study suggests that the government of Pakistan should design new policies and funding schemes for developing and improving water availability.

Suggested Citation

  • Abdul Rehman & Luan Jingdong & Abbas Ali Chandio & Muhammad Shabbir & Imran Hussain, 2017. "Economic outlook of rice crops in Pakistan: a time series analysis (1970–2015)," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-9, December.
    • Handle: RePEc:spr:fininn:v:3:y:2017:i:1:d:10.1186_s40854-017-0063-z
    DOI: 10.1186/s40854-017-0063-z
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    References listed on IDEAS

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    Cited by:

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    2. Wu, Qihan & Yan, Dong & Umair, Muhammad, 2023. "Assessing the role of competitive intelligence and practices of dynamic capabilities in business accommodation of SMEs," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1103-1114.

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