Forecasting the population growth and wheat crop production in Pakistan with non-linear growth and ARIMA models
Muhammad Islam (),
Farrukh Shehzad (),
Samrat Ray () and
Mirza Waseem Abbas ()
Additional contact information
Muhammad Islam: Crop Reporting Service, Punjab, Pakistan
Farrukh Shehzad: The Islamia University of Bahawalpur, Bahawalpur, Pakistan
Samrat Ray: IIMS, Pune, Pakistan
Mirza Waseem Abbas: Crop Reporting Service, Punjab, Pakistan
Population and Economics, 2023, vol. 7, issue 3, 172-187
Abstract:
Food security as a major social concern and a global threat, requires better policy decisions based on empirical studies. This work presents a comparative statistical analysis of different methods to forecast wheat area, productivity, production, and population growth rate in Pakistan. Time series data from 1950 to 2020 were analyzed using various methods such as ARIMA, the compound growth exponential regression model (CGREM), Cuddy Della Valle instability index (CDVI), and decomposition analysis. The results show that CGREM performs better than other models. Periodic compound growth rates indicate that wheat area and yield decrease by about 67.0% and 40.0%, while the population decreases by 31.7%. For the period 2001-2020, the compound growth reaches the level of 0.60% for wheat area, 1.21% for yield, while it is high for the population and amounts to 2.22%. The overall compound growth rate for wheat area and yield (about 1.207%, 2.326%) is lower compared to the population (about 2.839%). The paper presents forecasts for wheat area, yield, and population in Pakistan will rise: 12.7%, 25.5%, 31.8% in 2030 and 43%, 97.8%, and 129% in 2050. The results of this study provide empirical evidence for the necessity of policy decisions addressing the problem of food security in Pakistan.
Keywords: CGREM; decomposition; growth; rate; population; and; wheat; crop; food; security (search for similar items in EconPapers)
JEL-codes: C Q (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
https://populationandeconomics.pensoft.net/article/101500/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arh:jpopec:v:7:y:2023:i:3:p:172-187
DOI: 10.3897/popecon.7.e101500
Access Statistics for this article
Population and Economics is currently edited by Irina E. Kalabikhina
More articles in Population and Economics from ARPHA Platform
Bibliographic data for series maintained by Teodor Georgiev ().