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Agri 2025

The long and short-run symmetrical and asymmetrical effects of climate change on rice production in Sri Lanka

B K D Jagath Rohan Samarasinghe, Speaker at Agri Conferences
Northwest A & F University, Sri Lanka
Title : The long and short-run symmetrical and asymmetrical effects of climate change on rice production in Sri Lanka

Abstract:

Climate change is becoming evident in Sri Lanka due to increasing temperatures and changes in rainfall patterns. As a country with an agriculture-based economy, the impact of climate change on crop production threatens food security. The present study aimed to examine the symmetric and asymmetric effects of climate change on rice production in Sri Lanka. In this study, we used Autoregressive-Distributed Lag (ARDL) and Non-linear Autoregressive Distributed Lag (NARDL) models. Data for the period between 1952 and 2022 was compiled by the World Bank and the Department of Census and Statistics Sri Lanka. Estimated results were also validated using Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegration Regression (CCR). The results of symmetric ARDL indicate that temperature and cultivated land area have significant long-term effects on rice production. The results of the NARDL test show that positive and negative changes of climate variables have an asymmetrical long-run impact on rice production in Sri Lanka. Positive changes in temperature and precipitation have a significant negative impact on rice production. At the same time, negative changes precipitation has a significant and positive impact on rice production. Changes in cultivated land areas, both positive and negative, have a long-term significant impact on rice production. Policymakers must comprehend both the symmetric and the asymmetric effects of climate change on rice production and implement agricultural policies that promote sustainable agricultural development and to develop improved climate risk management strategies leading to ensuring food security in Sri Lanka.

Biography:

B K D Jagath Rohan Samarasinghe is a consultant at the Industrial Services Bureau, North Western Provincial Council, Sri Lanka, with over five years of experience in agricultural project management and consultancy. He is  currently pursuing a Ph.D. program at Northwest A & F University in China. In 2017, he was awarded a silver medal for his presentation on "Forecasting of Tea Export Using VAR Model" at the International Statistical Conference, organized by the Institute of Applied Statistics Sri Lanka and the Department of Mathematics and Statistics, University of Maryland Baltimore County, USA. His work focuses on agricultural economics and statistics

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