Long Term Trends in Rainfall and Temperature Effects on Food Security in Pakistan: An Analysis of 75 Years (1947-2021)

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Authors

  • Rabia Rehman Horticulture, Department of Horticulture, Sichuan Agriculture University, Chengdu, China.
  • Shumaila Sadiq Assistant Professor of Economics, Government Sadiq College Women University, Bahawalpur, Punjab, Pakistan.
  • Sifat Ullah Khan M.Phil. Scholar, Department of Economics, University of Sciences and Technology, Bannu, KP, Pakistan
  • Akhtar Gul M.Phil. Scholar, Department of Economics, University of Sciences and Technology, Bannu, KP, Pakistan.

DOI:

https://doi.org/10.55737/qjss.000490202

Keywords:

Rainfall, Food Security, Pakistan, OLS

Abstract

This study investigates the rainfall and temperature impact on food security (Wheat production) in Pakistan. The data nature is quarterly, and the time period is from 1947 to 2021. Econometrics approach simple OLS used. The wheat production is based on January, March, and November rainfall and temperature. In the findings of model 1, the rainfall in January and wheat production are negatively correlated. Besides, temperature and wheat production are directly correlated with each other. In Model 2, the rainfall has a significant and positive impact on wheat production. In the same month, the temperature was insignificant. The combined effect of rainfall and temperature has a negative impact on wheat production. It suggests that the combined effect of March rainfall and March temperature has a significant impact on wheat production at 10%. In model 3, November rainfall and wheat production are negatively correlated. The combined impact of November rainfall and November temperature has a positive and significant impact on the dependent variable. The study suggested the government reduce CO2 emissions in various sectors as well as improve technology and hybrid seeds. Besides, the state also adopts long-term reduction policy such as other developing countries adopts.

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References

Abrar, M. A., & Maryiam, M. (2023). Climate change impact on food security in Pakistan . Pakistan Journal of Multidisciplinary Research, 4(1), 131-146. https://pjmr.org/pjmr/article/view/359

Ali, A., & Rahut, D. B. (2019). Localized floods, poverty and food security: Empirical evidence from rural Pakistan. Hydrology, 7(1), 2. https://doi.org/10.3390/hydrology7010002

Anthwal, A., Joshi, V., Sharma, A., & Anthwal, S. (2006). Retreat of Himalayan glaciers–indicator of climate change. Nature and Science, 4(4), 53-59.

Armitage, S., & Brzeszczynski, J. (2011). Heteroscedasticity and interval effects in estimating beta: UK evidence. Applied Financial Economics, 21(20), 1525-1538. https://doi.org/10.1080/09603107.2011.581208

Baldos, U. L., & Hertel, T. W. (2014). Global food security in 2050: The role of agricultural productivity and climate change. Australian Journal of Agricultural and Resource Economics, 58(4), 554-570. https://doi.org/10.1111/1467-8489.12048

Baltagi, B. H., Heun Song, S., Cheol Jung, B., & Koh, W. (2007). Testing for serial correlation, spatial autocorrelation and random effects using panel data. Journal of Econometrics, 140(1), 5-51. https://doi.org/10.1016/j.jeconom.2006.09.001

Bocchiola, D., Brunetti, L., Soncini, A., Polinelli, F., & Gianinetto, M. (2019). Impact of climate change on agricultural productivity and food security in the Himalayas: A case study in Nepal. Agricultural systems, 171, 113-125. https://doi.org/10.1016/j.agsy.2019.01.008

Burton, A. L. (2021). OLS (Linear) regression. The Encyclopedia of Research Methods in Criminology and Criminal Justice, 509-514. https://doi.org/10.1002/9781119111931.ch104

Cogley, J. G. (2011). Present and future states of Himalaya and Karakoram glaciers. Annals of Glaciology, 52(59), 69-73. https://doi.org/10.3189/172756411799096277

Durbin, J., & Watson, G. S. (1992). Testing for serial correlation in least squares regression. I. Springer Series in Statistics, 237-259. https://doi.org/10.1007/978-1-4612-4380-9_20

El Bilali, H., Bassole, I. H. N., Dambo, L., & Berjan, S. (2020). Climate change and food security. The Journal "Agriculture and Forestry", 66(3). https://doi.org/10.17707/agricultforest.66.3.16

Fujimori, S., Hasegawa, T., Krey, V., Riahi, K., Bertram, C., Bodirsky, B. L., ... & van Vuuren, D. (2019). A multi-model assessment of food security implications of climate change mitigation. Nature Sustainability, 2(5), 386-396. https://doi.org/10.1038/s41893-019-0286-2

Gul, A., & Khan, A. W. (2021). The Effect of Small-Scale Industries on Employment Level in Pakistan. Journal of Research and Reviews in Social Sciences Pakistan, 4(2), 1393-1404.

Gul, A., Khan, S. U., & Abbasi, R. A. (2023). Vicious Circle of Health Expenditure: Time Series Evidence from Pakistan. Journal of Contemporary Macroeconomic Issues, 4(1), 57-77. https://ojs.scekr.org/index.php/jcmi/article/view/99

Hussain, S. S., & Mudasser, M. (2007). Prospects for wheat production under changing climate in mountain areas of Pakistan – An econometric analysis. Agricultural Systems, 94(2), 494–501. https://doi.org/10.1016/j.agsy.2006.12.001

Joyo, M., Ram, N., & Magsi, H. (2018). Risk assessment of climate variability on rice productivity in sindh province of Pakistan: Department of Agricultural Economics, Sindh Agriculture University, Tandojam, Pakistan. Pakistan Journal of Agriculture, Agricultural Engineering and Veterinary Sciences, 34(1), 68-77. https://pjaaevs.sau.edu.pk/index.php/ojs/article/view/257

Kasperson, R.E., & Kasperson, J. (2005). Social Contours of Risk: Volume I: Publics, Risk Communication and the Social (1st ed.). Routledge. https://doi.org/10.4324/9781849772549

Kumar, P. (2021). Climate change and cities: Challenges ahead. Frontiers in Sustainable Cities, 3. https://doi.org/10.3389/frsc.2021.645613

Lin, Y., Xin, X., Zhang, H., & Wang, X. (2015). The implications of serial correlation and time-lag effects for the impact study of climate change on vegetation dynamics – a case study with Hulunber meadow steppe, Inner Mongolia. International Journal of Remote Sensing, 36(19-20), 5031-5044. https://doi.org/10.1080/01431161.2015.1093196

Marcoulides, K. M., & Raykov, T. (2018). Evaluation of variance inflation factors in regression models using latent variable modeling methods. Educational and Psychological Measurement, 79(5), 874-882. https://doi.org/10.1177/0013164418817803

Nwakuya, M. T., & Nwabueze, J. C. (2018). Application of box-cox transformation as a corrective measure to heteroscedasticity using an economic data. American Journal of Mathematics and statistics, 8(1), 8-12. https://doi.org/10.5923/j.ajms.20180801.02

Paul, R. K. (2006). Multicollinearity: Causes, effects and remedies. IASRI, New Delhi, 1(1), 58-65.

Peng, S., Huang, J., Sheehy, J. E., Laza, R. C., Visperas, R. M., Zhong, X., Centeno, G. S., Khush, G. S., & Cassman, K. G. (2004). Rice yields decline with higher night temperature from global warming. Proceedings of the National Academy of Sciences, 101(27), 9971-9975. https://doi.org/10.1073/pnas.0403720101

Phillips, G. D., & Harvey, A. C. (1974). A simple test for serial correlation in regression analysis. Journal of the American Statistical Association, 69(348), 935-939. https://doi.org/10.1080/01621459.1974.10480231

Ramsey, J. B. (1969). Tests for specification errors in classical linear least-squares regression analysis. Journal of the Royal Statistical Society Series B: Statistical Methodology, 31(2), 350-371.https://www.jstor.org/stable/2984219

Ramsey, J. B. (1974). Classical model selection through specification error tests. Frontiers in econometrics, 1, 13-47.

Rashid, K., & Rasul, G. (2011). Rainfall variability and maize production over the Potohar Plateau of Pakistan. Pakistan Journal of Meteorology, 8(15), 63-74.

Rehman, A., Jingdong, L., Du, Y., Khatoon, R., Wagan, S. A., & Nisar, S. K. (2016). Flood disaster in Pakistan and its impact on agriculture growth (a review). Environ Dev Econ, 6(23), 39-42.

Rosopa, P. J., Schaffer, M. M., & Schroeder, A. N. (2013). Managing heteroscedasticity in general linear models. Psychological Methods, 18(3), 335-351. https://doi.org/10.1037/a0032553

Saseendran, S. A., Singh, K. K., Rathore, L. S., Singh, S. V., & Sinha, S. K. (2000). Effects of climate change on rice production in the tropical humid climate of Kerala, India. Climatic Change, 44, 495-514.

Senaviratna, N. A., & A. Cooray, T. M. (2019). Diagnosing multicollinearity of logistic regression model. Asian Journal of Probability and Statistics, 1-9. https://doi.org/10.9734/ajpas/2019/v5i230132

Thomas, D. R., Hughes, E., & Zumbo, B. D. (1998). On Variable Importance in Linear Regression. Social Indicators Research, 45(1/3), 253–275. http://www.jstor.org/stable/27522344

Vu, D., Muttaqi, K., & Agalgaonkar, A. (2015). A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables. Applied Energy, 140, 385-394. https://doi.org/10.1016/j.apenergy.2014.12.011

Wheeler, T., & Von Braun, J. (2013). Climate change impacts on global food security. Science, 341(6145), 508-513. https://doi.org/10.1126/science.1239402

Xiao, G., Zhang, Q., Yao, Y., Zhao, H., Wang, R., Bai, H., & Zhang, F. (2008). Impact of recent climatic change on the yield of winter wheat at low and high altitudes in semi-arid northwestern China. Agriculture, Ecosystems & Environment, 127(1-2), 37-42. https://doi.org/10.1016/j.agee.2008.02.007

Xu, X., Hu, H., Tan, Y., Yang, G., Zhu, P., & Jiang, B. (2019). Quantifying the impacts of climate variability and human interventions on crop production and food security in the Yangtze River basin, China, 1990–2015. Science of The Total Environment, 665, 379-389. https://doi.org/10.1016/j.scitotenv.2019.02.118

Ye, L., Tang, H., Wu, W., Yang, P., Nelson, G. C., Mason-D’Croz, D., & Palazzo, A. (2014). Chinese food security and climate change: Agriculture futures. Economics, 8(1). https://doi.org/10.5018/economics-ejournal.ja.2014-1

Zahra, F., Gul, A., Iqbal, A., Ghafoor, T., & Ambreen, A. (2020). The impact of COVID-19 on rural areas students of Pakistan: Moderating role of HEC policy and internet service. Asian Journal of Contemporary Education, 4(2), 69-79. https://doi.org/10.18488/journal.137.2020.42.69.79

Zhang, T., Zhou, X., & Liu, X. (2020). Reliability analysis of slopes using the improved stochastic response surface methods with multicollinearity. Engineering Geology, 271, 105617. https://doi.org/10.1016/j.enggeo.2020.105617

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Published

2023-09-30

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Articles

How to Cite

Rehman, R., Sadiq, S., Khan, S. U., & Gul, A. (2023). Long Term Trends in Rainfall and Temperature Effects on Food Security in Pakistan: An Analysis of 75 Years (1947-2021): -. Qlantic Journal of Social Sciences, 4(3), 55-68. https://doi.org/10.55737/qjss.000490202

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