An Integrated Model for Forecasting Wheat Consumption in Pakistan: Emphasizing Social and Economic Factors. | [Journal of Animal and Plant sciences • 2018]

Author(s):

1. NT Khan: 27415 Simulation Laboratory Department of Industrial Engineering, Sungkyunkwan University, Suwon, South Korea

2. J Park: School of Management and Administration, Yong In University, Yong In, South Korea

3. YB Kim: 27415 Simulation Laboratory Department of Industrial Engineering, Sungkyunkwan University, Suwon, South Korea

Abstract:

Wheat is one of the most commonly consumed foods on the Indian subcontinent, especially in Pakistan. It is difficult to find literature regarding wheat consumption forecasting, although some researchers have already focused on wheat production forecasting. Time-series modeling has been adopted with only historical data on wheat, while several influential factors have been neglected. This paper proposes that historical consumption data cannot provide complete information and lacks the power to forecast future values accurately; thus, a simple but powerful model is derived that includes economic and social factors. The proposed model is also compared with conventional approaches, demonstrating its ability to capture highly efficient and accurate forecasts.

Page(s): 290-296

DOI: DOI not available

Published: Journal: Journal of Animal and Plant sciences, Volume: 28, Issue: 1, Year: 2018

Keywords:

Regression , Economic Factors , Social Factors

References:

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