CHALLANGES AND PROSPECTS FOR TOMATO PRODUCTIVITY IN RESPONSE TO CLIMATIC VARIATIONS: EVIDNECES FROM KHYBER PAKHTUNKHWA-PAKISTAN

Authors

  • Rabbia Yousaf MSc (Hons) Student, Department of Agricultural & Applied Economics. The University of Agriculture-Peshawar, Khyber Pakhtunkhwa-Pakistan https://orcid.org/0009-0001-6531-6714
  • Shahid Ali Department of Agricultural & Applied Economics. The University of Agriculture-Peshawar, Khyber Pakhtunkhwa-Pakistan https://orcid.org/0000-0002-4990-0857
  • Irfan Ullah Department of Agricultural & Applied Economics. The University of Agriculture-Peshawar, Khyber Pakhtunkhwa-Pakistan https://orcid.org/0000-0001-8121-4403
  • Syed Attaullah Shah Department of Agricultural & Applied Economics.The University of Agriculture-Peshawar, Khyber Pakhtunkhwa-Pakistan https://orcid.org/0000-0003-3047-9692
  • Harun Uçak Department of Economics, Faculty of Economics, Administrative and Social Sciences Alanya Alaaddin Keykubat University, Alanya, Antalya, Türkiye https://orcid.org/0000-0001-5290-5846

DOI:

https://doi.org/10.59267/ekoPolj2302377Y

Keywords:

Tomato, Climate change, Panel data, Fixed effects model, Khyber Pakhtunkhwa, Pakistan

Abstract

Climate change is the momentous and persisting change in the world’s temperature, precipitation, humidity, and other climatic variables. This study, therefore estimated the impact of climatic variations on tomato productivity across agro ecological zones of Khyber Pakhtunkhwa, Pakistan. Panel data for 28 years (1991-2018) across the six districts of the agro ecological was used due to availability of data on tomato productivity and climatic variables. Yield of tomato, area, maximum temperature and rainfall were included in the final estimated model. The results indicate that the average maximum temperature and average maximum temperature square have a significant impact on tomato yield. Average maximum temperature has positive coefficient while the average maximum temperature square has a negative coefficient. This demonstrates that, at first, the tomato yield increases as the temperature rises. It reaches the maximum at the critical temperature (34.95ºC) but shows a decline once the temperature rises from the critical value.

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Author Biographies

Rabbia Yousaf, MSc (Hons) Student, Department of Agricultural & Applied Economics. The University of Agriculture-Peshawar, Khyber Pakhtunkhwa-Pakistan

 

 

Shahid Ali, Department of Agricultural & Applied Economics. The University of Agriculture-Peshawar, Khyber Pakhtunkhwa-Pakistan

 

 

 

Irfan Ullah, Department of Agricultural & Applied Economics. The University of Agriculture-Peshawar, Khyber Pakhtunkhwa-Pakistan

 

 

Syed Attaullah Shah , Department of Agricultural & Applied Economics.The University of Agriculture-Peshawar, Khyber Pakhtunkhwa-Pakistan

 

 

Harun Uçak, Department of Economics, Faculty of Economics, Administrative and Social Sciences Alanya Alaaddin Keykubat University, Alanya, Antalya, Türkiye

 

 

References

Abubakar, S. M., (2019, December 4). Pakistan 5th most vulnerable country to climate change, reveals Germanwatch report. Dawn.

Agboklou, K. E., & Ozkan, B. (2023). Analysis of Rice Farmers’ Access To Agricultural Credit And Profitability In South Togo . Journal of Business

Economics and Finance.12(1), 1-14. DOI: 10.17261/Pressacademia. 2023. 1722.

Auffhammer, M. (2018). Quantifying economic damages from climate change. Journal of Economic Perspectives, 32(4), 33-52.

Ahmad, M., & Farooq. U. (2010). The state of food security in Pakistan: Future challenges and coping strategies. The Pakistan Development Review, 49(4), 903-923.

Afrin, S., Haider, M.Z. and Islam, M.S. (2017). Impact of financial inclusion on technical efficiency of paddy farmers in Bangladesh. Agricultural Finance Review, 77(4), 484-505. https://doi.org/10.1108/AFR-06-2016-0058.

Bakirtas, T., & Akpolat, A.G. (2018). The relationship between energy consumption, urbanization, and economic growth in new emerging-market countries. Energy, 147.110-121. https://doi.org/10.1016/j.energy.2018.01.011

Bell, A., & Jones, K. (2015). Explaining fixed effects: Random effects modeling of time-series cross-sectional and panel data. Political Science Research and Methods. 3(1), 133-153.

Birthal, P., et al. (2021). Impacts of climatic hazards on agricultural growth in India. Climate and Development. 13: 1-14. https://doi.org/10.1080/

Bouwer, L.M. (2011). Have disaster losses increased due to anthropogenic climate change? Bulletin of the American Meteorological Society, 92(1), 39-46.

Chandio, A., Magsi, H., & Ozturk, I. (2020). Examining the effects of climate change on rice production: case study of Pakistan. Environmental Science and Pollution Research, 27, 7812–7822. doi:10.1007/s11356-019-07486-9

Kumar, A. and A. Singh (2014). Climate Change and its Impact on Wheat Production and Mitigation Through Agroforestry Technologies. International Journal on Environmental Sciences. 5, 73-90.

Chen, C., Zhou, G.-S., & Zhou, L. (2014). Impacts of Climate Change on Rice Yield in China From 1961 to 2010 Based on Provincial Data. Journal of Integrative Agriculture, 13, 1555–1564. doi:10.1016/S2095-3119(14)60816-9

Chen, S., & Gong. B. (2021). Response and adaptation of agriculture to climate change: Evidence from China. Journal of Development Economics. 148, 1-17.

Cho, S. J., & McCarl, B. (2017). Climate change influences on crop mix shifts in the United States. Scientific Reports, 7, 40845. doi:10.1038/srep40845.

De Hoyos., R.E. & Sarafidis, V. (2006). Testing for cross-sectional dependence in panel-data models. The stata journal, 6(4), 482-496.

Drukker., D.M. (2003). Testing for serial correlation in linear panel-data models. The stata journal, 3(2), 168-177.

Elhorst, J.P. (2014). Spatial panel data models. In Spatial econometrics. Springer. Berlin, Heidelberg. 37-93.

Environmental Protection Agency. (2016). Government of Khyber Pakhtunkhwa forestry, environment and wildlife department, Khyber Pakhtunkhwa, Pakistan.

Ahmad, S., Tariq, M., Hussain, T., Abbas, Q., Elham, H., Haider, I., & Li, X. (2020). Does Chinese FDI, Climate Change, and CO2 Emissions Stimulate Agricultural Productivity? An Empirical Evidence from Pakistan. Sustainability, 12(18). doi:10.3390/su12187485

Ahsan, F., Chandio, A., & Fang, W. (2020). Climate change impacts on cereal crops production in Pakistan: Evidence from cointegration analysis. International Journal of Climate Change Strategies and Management, ahead-of-print. doi:10.1108/IJCCSM-04-2019-0020.

Fahad, S., T. Inayat., J. Wang., L. Dong., G. Hu., S. Khan., & Khan., A. (2020). Farmers’ awareness level and their perceptions of climate change: A case of Khyber Pakhtunkhwa province, Pakistan. Land Use Policy, 96,1-8.

FAO. 2018. FAOSTATS, (2018) and previous years. www.fao.org

Feres, J., Reis., E & Speranza., J. (2008). Assessing the impact of climate change on the Brazilian agricultural sector. Instituto de Pesquisa Econômica Aplicada (IPEA), 1-15.

Ghalib, H., Shah, S., Jan, A., & Ali, G. (2017). Impact of Climate Change on Wheat Growers Net Return in Khyber Pakhtunkhwa: A Cross-Sectional Ricardian Approach. Sarhad Journal of Agriculture, 33. doi:10.17582/journal.sja/2017/33.4.591.597

GCISC. (2009). Global Change Impact Studies Centre Islamabad, Pakistan. www.gcisc.org.pk

GOP. Pakistan Bureau of Statistics. (2018). Ministry of Finance, Statistics Division, Islamabad, Pakistan.

GOP. Pakistan Economic Survey. (2019). Economic Adviser’s Wing, Finance Division, Islamabad, Pakistan.

Gujarati, D.N., & Porter., D.C. (2009). Basic Econometrics. Fifth Editon. McGraw Hill Irwin USA.

Guiteras, R. (2009). The impact of climate change on Indian agriculture. Manuscript, Department of Economics, University of Maryland, College Park, Maryland. 1-54.

Tareen, H., Ali, S., Khan, A., Shah, S., & Khan, S. (2021). Economic appraisal of transformative climate change on potential variations in wellbeing of wheat growers across various ecological zones. Environmental Science and Pollution Research, 28, 1-15. doi:10.1007/s11356-020-11409-4

Hirpo, F. (2019). Review on the Effects of Climate Change Variability on Horticultural Productivity. International Journal of Environmental Sciences & Natural Resources, 17. doi:10.19080/IJESNR.2019.17.555969.

Islam, S., Rehman, N., Sheikh, M., & Khan, A. (2009). Climate Change Projections for Pakistan, Nepal and Bangladesh for SRES A2 and A1B Scenarios using outputs of 17 GCMs used in IPCC - AR4.

IPCC. (2007). Summary for policymakers. Climate change 2007: the physical science basis, Working Group I contribution to IPCC fourth assessment report: climate change 2007. Geneva International Development Research Center, Working, Paper No. 3.

IPCC. (2019). Climate Change and Land: An IPCC Special Report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems. Summary for Policymakers.1-43.

Khan, A., Ali, S., Shah, S.A., & Fayaz, M. (2018). Impact of temperature and precipitation on net revenue of maize growers in Khyber Pakhtunkhwa, Pakistan. Sarhad Journal of Agriculture. 34(4), 729-739.

Lippert, C., Krimly, T., & Aurbacher, J. (2009). A Ricardian analysis of the impact of climate change on agriculture in Germany. Climatic Change, 97, 593-610. doi:10.1007/s10584-009-9652-9.

Lough., J.M. (2008). 10th anniversary review: a changing climate for coral reefs. Journal of Environmental Monitoring, 10(1), 21-29.

Loum, A. & Fogarassy, C. (2015). The effects of climate change on cereals yield of production and food security in Gambia. Applied Studies in Agribusiness and Commerce – APSTRACT. 9(4), 83-92.

Sarker, M., Alam, K., & Gow, J. (2014). Assessing the effects of climate change on rice yields: An econometric investigation using Bangladeshi panel data. Economic Analysis and Policy, 44. doi:10.1016/j.eap.2014.11.004.

Mahmood, N., Ahmad, B., Hassan, S., & Khuda, B. (2012). Impact of temperature ADN precipitation on rice productivity in rice-wheat cropping system of Punjab province. Journal of Animal and Plant Sciences, 22(4), 993-997.

Van Niekerk, M., Neser, F., van Wyk, J., & Ducrocq, V. (2022). Comparison of fixed and random regression models for the analysis of milk production traits in South African Holstein dairy cattle under two production systems. Livestock Science, 267, 105125. doi:10.1016/j.livsci.2022.105125.

Omoregie, O. K., Ikpesu, F., & Okpe, A. E. (2018). Credit Supply and Rice Output in Nigeria: Empirical Insight from Vector Error Correction Model Approach. International Journal of Economics and Financial Issues, 8(5), 68–74.

Ozkan, B., Ceylan, R., & Kizilay, H. (2011). Energy inputs and crop yield relationships in greenhouse winter crop tomato production. Renewable Energy, 36, 3217-3221. doi:10.1016/j.renene.2011.03.042.

Parry, M.L. (2019). Climate change and world agriculture. Routledge.

R de la, P., & Hughes, J. (2007). Improving Vegetable Productivity in a Variable and Changing Climate. An Open Access Journal published by ICRISAT. 4(1), 1-22.

Seo, S., Mendelsohn, R., Dinar, A., & Kurukulasuriya, P. (2009). Adapting to Climate Change Mosaically: An Analysis of African Livestock Management by Agro-Ecological Zones. The B.E. Journal of Economic Analysis & Policy, 9, 4-4. doi:10.2202/1935-1682.1955.

Shakoor, U., Saboor, A., Ali, I., & Mohsin, A. (2011). Impact of climate change on agriculture: Empirical evidence from arid region. Pakistan Journal of Agricultural Sciences, 48, 327-333.

Kumar, A., & Singh, A. (2014). Climate change and its impact on wheat production and mitigation through agroforestry technologies. International Journal on Environmental Sciences, 5, 73-90.

Torres-Reyna, O. (2007). Panel data analysis fixed and random effects using Stata (v.4.2). Data & Statistical Services, Princeton University, 112.

Oort, P., & Zwart, S. (2017). Impacts of climate change on rice production in Africa and causes of simulated yield changes. Global Change Biology, 24. doi:10.1111/gcb.13967.

Wang, J., Mendelsohn, R., Dinar, A., & Huang, J. (2010). How Chinese farmers change crop choice to adapt to climate change. Climate Change Economics (CCE), 01, 167-185. doi:10.1142/S2010007810000145.

Wooldridge, J.M. (2013). Introductory Econometrics A Modern Approach. Fifth Edition. South-Western Cengage Learning.

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Published

2023-06-19

How to Cite

Yousaf, R., Ali, S. . ., Ullah, I., Shah , S. A. ., & Uçak, H. (2023). CHALLANGES AND PROSPECTS FOR TOMATO PRODUCTIVITY IN RESPONSE TO CLIMATIC VARIATIONS: EVIDNECES FROM KHYBER PAKHTUNKHWA-PAKISTAN . Ekonomika Poljoprivrede, 70(2), 377–394. https://doi.org/10.59267/ekoPolj2302377Y

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