Artikel

Assessing the Level of Comparative Advantage for the Boro Rice Production in Bangladesh: A Time Series Analysis

This study aims to investigate whether Bangladesh has a comparative advantage in producing rice in the long run for the Boro season. With that view, we estimated “Domestic Resource Cost (DRC)” as an indicator of comparative advantage using the time series data. Data were obtained from the food situation database, published by the Food Planning and Monitoring Unit, Ministry of Food, Peoples’ Republic of Bangladesh. The analyses show that Bangladesh has a comparative advantage in modern rice production in the Boro season at import substitution. DRC values for Boro season are less than 1 in all the periods (2010/11 to 2019/20) except 2018/19. The sensitivity analysis shows that all the indicators pertinent to this particular analysis strongly influence DRC values. The government and policymakers should focus on price spread between the wholesale to retail levels, the border price of rice at the farm gate level, and the border prices of rice, urea, TSP, and MoP of farm gate level to achieve a long-run comparative advantage. Research efforts need to be prioritized for developing new varieties, especially for the Boro season with higher yield potential.

Sprache
Englisch

Erschienen in
Journal: Journal of Bangladesh Agricultural University ; ISSN: 2408-8684 ; Volume: 19 ; Year: 2021 ; Issue: 3 ; Pages: 361-370 ; Mymensingh: Bangladesh Agricultural University Research System

Klassifikation
Wirtschaft
Thema
Boro season rice
DRC
Tradable inputs
Sensitivity
Time series
Bangladesh

Ereignis
Geistige Schöpfung
(wer)
Islam, Mohammad Ariful
Sarkar, Md. Abdur Rouf
Rahman, Mohammad Chhiddikur
Rahaman, Md. Shajedur
Ereignis
Veröffentlichung
(wer)
Bangladesh Agricultural University Research System
(wo)
Mymensingh
(wann)
2021

DOI
doi:10.5455/JBAU.69174
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Islam, Mohammad Ariful
  • Sarkar, Md. Abdur Rouf
  • Rahman, Mohammad Chhiddikur
  • Rahaman, Md. Shajedur
  • Bangladesh Agricultural University Research System

Entstanden

  • 2021

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