EventsThe 2nd International Online Conference on Mathematics and Applications
Published
This submission belongs to the session S3. Statistics and Operational Research of the event The 2nd International Online Conference on Mathematics and Applications
Published date
04 Jun, 2026
Academic Editor
author-avatarAntonio Di Crescenzo
Citation
Rathnavel Pridhurshika, Malima Atapattu, Impact of Climate Change on Sri Lanka’s Pepper Production and Export Industry, in Proceedings of The 2nd International Online Conference on Mathematics and Applications, 10 June–12 June 2026, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

Impact of Climate Change on Sri Lanka’s Pepper Production and Export Industry

Rathnavel Pridhurshika 1
Malima Atapattu 1
1. Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Peradeniya, Sri Lanka, Sri Lanka
Abstract

Sri Lanka’s pepper production and export industry is increasingly affected by climatic variability. This study examines the influence of temperature, rainfall, wind speed, and daylight duration on district-level pepper production (2018–2024) and national monthly pepper export volumes (2014–2024). Panel data analysis is employed to quantify the effects of climatic variables on pepper production, using Fixed Effect (FE) and Random Effect (RE) estimations, while the Difference Generalized Method of Moments (GMM) approach is applied to account for dynamic production persistence. Export behavior and forecasting performance are analyzed using the Autoregressive Distributed Lag–Error Correction Model (ARDL–ECM) and Seasonal Autoregressive Integrated Moving Average (SARIMA) model. The results show mean temperature has a positive and statistically significant contemporaneous effect on pepper production, while rainfall remains insignificant in static panel models. Difference GMM results confirm strong production persistence, with temperature emerging as the dominant positive driver and wind speed exerting a significant negative effect. Export modeling reveals short-run and long-run relationships between climatic variables and pepper exports. The ARDL–ECM framework confirms a stable long-run equilibrium, with about one-third of disequilibrium corrected within one month. Temperature and wind speed show significant lagged effects, while rainfall plays a limited role. Forecast comparisons indicate the ARDL model incorporating climatic variables outperforms SARIMA in predictive accuracy, although SARIMA better captures seasonal patterns. These findings show temperature and wind speed are key climatic drivers of Sri Lanka’s pepper sector. The positive and persistent temperature effect suggests the need for adaptive crop management to address heat stress, while the negative impact of wind speed highlights the importance of protective measures such as windbreak systems. The identified lagged climatic effects and long-run equilibrium indicate climate shocks influence exports with delays, supporting the integration of climate indicators into export forecasting and trade planning. Strengthening climate-resilient production and climate-informed export strategies is therefore essential for sustaining sector stability and competitiveness.

Keywords
Climate variability
pepper production
pepper exports
panel data
Difference GMM
ARDL– ECM
SARIMA
Time series forecasting
Sri Lanka.
Prediction of Stock Market Index in Malaysia with Neural Network
I-PASS: Interpretable Position-Aware Statistical-based Swap Operator