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Environmental risks among rice farmers and factors influencing their risk perceptions and attitudes in Punjab, Pakistan

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Abstract

Farming community confronted with sundry type of risks while production and environmental risks are more significant. Farms management decisions and operations are considerably influenced by farmers’ perceptions and attitude to risks. Risk management issues specific to cereals crops not properly focused in developing countries specifically to Pakistan, so this gap tried to address in this study. This research work was spotlighted to quantify farmers’ perception and attitude of diverse form of risks toward rice crop in Pakistan. The present study used cross-sectional data of 450 rice farmers categorized as low, medium, and high production base six rice districts of Punjab, Pakistan. In attempting to identify farmers attitude to risk, the study used Equally Likely Certainty Equivalent approach, as farmers’ perception were ranked in four catastrophic risk basis, rice diseases, high input prices, drought, and heavy rainfall and hail, by risk matrix. In estimating the factors influencing farmers’ attitude and perceptions to risk, the study used Probit model. Farmers believe heavy rainfall and hails, high input prices, drought, and rice disease major threats for rice crop while mostly farmer is risk-averse behavior as indicated in the results of the study. Estimates of the study signified as education, gender, size of farm, religious, age, credit, off-farm income, farmer livestock, and experience of farming significantly influences farmer risk perception and risk attitude. This research provided applied and suitable investigation for farming community, extension services, researchers, agricultural policymakers, and insurance institutions. Farmers confronting risk and their attitude need to understand by researcher and policymakers’ access them accurate information regarding sophisticated tools of risk management and risks to make sure the provision of advance extension services and agricultural finance. In formulating applied policy measures, it is prerequisite for researchers and policymakers to accurate understanding of local environmental conditions, crop-related threats, and farmers’ perceptions and attitude.

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References

  • Abid M, Scheffran J, Schneider UA, Ashfaq M (2015a) Farmers’ perception of and adaptation strategies to climate change and their determinants: the case of Punjab Province, Pakistan. Earth Syst Dyn 6:225–243

    Google Scholar 

  • Abid M, Schilling J, Scheffran J, Zulfiqar F (2015b) Climate change vulnerability, adaptation and risk perceptions at farm level in Punjab. Pakistan, Science Total Environment. https://doi.org/10.1016/j.scitotenv.2015.11.125

    Book  Google Scholar 

  • Agriculture statistics of Pakistan (2017) Economic survey of Pakistan (2016–17) Ministry of Finance. Finance division Islamabad, Government of Pakistan

    Google Scholar 

  • Ahmad D, Afzal M (2019) Household vulnerability and resilience in flood hazards from disaster-prone areas of Punjab, Pakistan. Nat Hazards 99(1):337–354

    Google Scholar 

  • Ahmad D, Afzal M (2020) Flood hazards and factors influencing household flood perception and mitigation strategies in Pakistan. Environ Sci Pollut Res:1–13

  • Ahmad D, Afzal M, Rauf A (2019) Analysis of wheat farmers’ risk perceptions and attitudes: evidence from Punjab, Pakistan. Nat Hazards:1–17

  • Ahmad D, Afzal M, Rauf A (2020) Flood hazards adaptation strategies: a gender-based disaggregated analysis of farm-dependent Bait community in Punjab, Pakistan. Environ Dev Sustain 1–22

  • Akcaoz H, Ozkan B (2005) Determining risk sources and strategies among farmers of contrasting risk awareness: a case study for Cukurova region of Turkey. J Arid Environ 62(4):661–675

    Google Scholar 

  • Akhtar S, Gu-Cheng LI, Ullah R, Nazir A, Iqbal MA, Raza H, Iqbal N, Faisal M (2018) Factors influencing hybrid maize farmers' risk attitudes and their perceptions in Punjab Province, Pakistan. J Integr Agric 17(6):1454–1462

    Google Scholar 

  • Alderman H (2008) Managing risk to increase efficiency and reduce poverty

  • Ali S, Liu Y, Ishaq M, Shah T, Ilyas A, Din IU (2017) Climate change and its impact on the yield of major food crops: evidence from Pakistan. Foods 6(6):39

    Google Scholar 

  • Anderson JR, Dillon JL, Hardaker JE (1977) Agricultural decision analysis. Iowa State University Press

  • Arrow KJ (1964) The role of securities in the optimal allocation of risk bearing. Rev Econ Stud 31:91–96

    Google Scholar 

  • Ashfaq M, Hassan S, Naseer MZ, Baig IA, Asma J (2008) Factors affecting farm diversification in rice-wheat. Pak J Agric Sci 45(3):91–94

    Google Scholar 

  • Asseng S, Ewert F, Martre P, Rötter RP, Lobell DB, Cammarano D et al (2015) Rising temperatures reduce global wheat production. Nat Clim Chang 5(2):143

    Google Scholar 

  • Attri SD, Rathore LS (2003) Simulation of the impact of projected climate change on wheat in India. Int J Climatol 23(6):693–705

    Google Scholar 

  • Ayinde OE (2008) Effect of socio-economic factors on risk behavior of farming households: an empirical evidence of small-scale crop producers in Kwara state. Agric J 3(6):447–453

    Google Scholar 

  • Bhatta GD, Aggarwal PK, Poudel S, Belgrave DA (2016) Climate-induced migration in South Asia: migration decisions and the gender dimensions of adverse climatic events. J Rural Commun Dev 10(4)

  • Binici T, Koc AA, Zulauf CR, Bayaner A (2003) Risk attitude of farmers in terms of risk aversion: a case study of lower Seyhan plain farmers in Adana Province, Turkey. Turk J Agric For 27(2003):305–312

    Google Scholar 

  • Board Of Statistics (BOS) Punjab (2017) Agriculture Information Marketing Services (AIMS) Lahore, Punjab, Pakistan

  • Boomiraj K, Chakrabarti B, Aggarwal PK, Choudhary R, Chander S (2010) Assessing the vulnerability of Indian mustard to climate change. Agric Ecosyst Environ 138(3–4):265–273

    Google Scholar 

  • Cardenas JC, Carpenter J (2013) Risk attitudes and economic well-being in Latin America. J Dev Econ 103:52–61

    Google Scholar 

  • Challinor AJ, Watson J, Lobell DB, Howden SM, Smith DR, Chhetri N (2014) A meta-analysis of crop yield under climate change and adaptation. Nat Clim Chang 4(4):287

    Google Scholar 

  • Chaudhary P, Aryal KP (2009) (2009): global warming in Nepal: challenges and policy imperatives. Livelihood 8:3–13

    Google Scholar 

  • Cohen A, Einav L (2007) Estimating risk preferences from deductible choice. Am Econ Rev 97(3):745–788

    Google Scholar 

  • Cooper DF, Grey S, G. Raymond P. W. (2005) Project risk management guidelines. John Wiley & Sons Ltd.

  • Dadzie SKN, Acquah HD (2012) Attitudes toward risk and coping responses: the case of food crop farmers at Agona Duakwa in Agona East District of Ghana. Int J Agric For 2(2):29–37. https://doi.org/10.5923/j.ijaf.20120202.06

    Article  Google Scholar 

  • Deressa TT, Ringler C, Hassan RM (2010) Factors affecting the choices of coping strategies for climate extremes. The case of farmers in the Nile Basin of Ethiopia. (IFPRI discussion paper). http://cdm15738.contentdm.oclc.org/utils/getfile/collection/p15738coll2/id/5198/filename/5199.pdf. Accessed 7 Nov 2015

  • Drollette SA (2009) Managing production risk in agriculture. (AG/ECON/2009-03RM). U.S. Department of Agriculture, Noelle E. Cockett, vice president for extension and agriculture, Utah State University. Available at: https://extension.usu.edu/agribusiness/files/uploads/factsheets/Risk%20Management/Managing %20Production %20Risk.pdf. Accessed 19 Nov 2015

  • Ellis F (1998) Household strategies and rural livelihood diversification. J Dev Stud 35(1):1–38

    Google Scholar 

  • Ellis F (2000) The determinants of rural livelihood diversification in developing countries. J Agric Econ 51(2):289–302

    Google Scholar 

  • Environmental Risk Assessment (ESA) (2000) Environmental Risk Assessment (ESA) : an approach for assessing and reporting environmental conditions, Habitat Branch Technical Bulletin 1, Ministry of Environment, Land and Parks, British Colombia, Canada. file:///C:/Users/ACS/Desktop/era.pdf

  • Fahad S, Wang J, Khan AA, Ullah A, Ali U, Hossain MS et al (2018) Evaluation of farmers’ attitude and perception toward production risk: lessons from Khyber Pakhtunkhwa Province, Pakistan. Hum Ecol Risk Assess Int J 24(6):1710–1722

    CAS  Google Scholar 

  • Food and Agriculture Organization (FAO) (2017a). World statistics of rice exporting countries 2017. Food and Agriculture Organization

  • FAO S (2017) Food and Agricultural Organization of the United Nations; Statistics Division. http://www.fao.org/faostat/en/#data/

  • FAO (2018) Agricultural insurance in Asia and Pacific Region. Food and Agriculture Organization of the United Nations Regional Office for Asia and the Pacific Bangkok

  • Fischer G, Shah M, Tubiello FN, Van Velhuizen H (2005) Socio-economic and climate change impacts on agriculture: an integrated assessment, 1990–2080. Philos Trans R Soc B 360(1463):2067–2083

    Google Scholar 

  • Food and Agriculture Organization (FAO) (2017b) The future of food and agriculture trends and challenges. Food and Agriculture Organization, United Nations Rome

    Google Scholar 

  • Fraiture CD, Smakhtin V, Bossio D, McCornick P, Hoanh C, Noble A, ..., Turral H (2007) Facing climate change by securing water for food, livelihoods and ecosystems

  • French DP, Sutton S, Kinmonth AL, Marteau TM (2006) Assessing perceptions of risks due to multiple hazards. J Risk Res 9(6):657–682

    Google Scholar 

  • Gattig A, Hendrickx L (2007) Judgmental discounting and environmental risk perception: dimensional similarities, domain differences, and implications for sustainability. J Soc Issues 63(1):21–39

    Google Scholar 

  • Geda A, Jong N, Kimenyi MS Mwabu G (2005) Determinants of poverty in Kenya: a household level analysis

  • Government of Pakistan (GOP) (2018) Economic survey of Pakistan (2017–18) Ministry of Finance. Finance division Islamabad, Government of Pakistan

    Google Scholar 

  • Hardaker JB, Huirne RBM, Anderson JR, Lien G (2004) Coping with risk in agriculture. CABI Publishing, Wallingford

    Google Scholar 

  • Harrison GW, Lau MI, Rutström EE (2007) Estimating risk attitudes in Denmark: a field experiment. Scand J Econ 109(2):341–368

    Google Scholar 

  • Harwood JL, Heifner R, Coble K, Perry J, Somwaru A (1999) Managing risk in farming: concepts, research, and analysis. US Department of Agriculture, Economic Research Service, Washington, DC Available at: http://www.ers.usda.gov/media/1761672/aer774.pdf. Accessed 15 Oct 2015

    Google Scholar 

  • Howden SM, Soussana JF, Tubiello FN, Chhetri N, Dunlop M, Meinke H (2007) Adapting agriculture to climate change. Proc Natl Acad Sci 104(50):19691–19696

    CAS  Google Scholar 

  • Intergovernmental Panel on Climate Change (IPCC) (2014) Climate change 2014, synthesis report, A report of Intergovernmental Panel on Climate Change

  • Iqbal M. A., Ping Q., Abid M., Kazmi S. M. M. Rizwan M. (2016): Assessing risk perceptions and attitude among cotton farmers: a case of Punjab province, Pakistan. International Journal of Disaster Risk Reduct 68–74

    Google Scholar 

  • Kassam A, Hongwen L, Niino Y, Friedrich T, Jin H, Xianliang W (2014) Current status, prospect and policy and institutional support for conservation agriculture in the Asia-Pacific region. Int J Disaster Risk Reduct 7(5):1–13

    Google Scholar 

  • Kouamé EBH (2010) Risk, risk aversion and choice of risk management. Strategies by cocoa farmers in western Côte d’Ivoire. Paper presented at the CSAE Conference 2010: Economic Development in Africa, St Catherine’s College, Oxford, 21-23 March 2010

  • Kreft S, Eckstein D, Dorsch L, Fischer L (2016) Global climate risk index 2016: who suffers most from extreme weather events? Weather-related loss events in 2014 and 1995 to 2014. German watch eV, Bonn

    Google Scholar 

  • Kukal MS, Irmak S (2018) Climate-driven crop yield and yield variability and climate change impacts on the US Great Plains agricultural production. Sci Rep 8(1):3450

    Google Scholar 

  • Liu B (2012) Sentiment analysis and opinion mining. Synth Lect Hum Lang Technol 5(1):1–167

    Google Scholar 

  • Liu EM (2013) Time to change what to sow: risk preferences and technology adoption decisions of cotton farmers in China. Rev Econ Stat 95(4):1386–1403

    Google Scholar 

  • Lobell DB, Gourdji SM (2012) The influence of climate change on global crop productivity. Plant Physiol 160(4):1686–1697

    CAS  Google Scholar 

  • Lucas MP, Pabuayon IM (2011) Risk perceptions, attitudes, and influential factors of rain fed lowland rice farmers in Ilocos Norte, Philippines. Asian J Agric Dev 8(2):61–77

    Google Scholar 

  • Maitah M, Řezbová H, Smutka L, Tomšík K (2016) European sugar production and its control in the world market. Sugar Tech 18(3):236–241

    Google Scholar 

  • Manandhar S, Pratoomchai W, Ono K, Kazama S, Komori D (2015) Local people’s perceptions of climate change and related hazards in mountainous areas of northern Thailand. Int J Disaster Risk Reduct 11:47–59

    Google Scholar 

  • Mesfin W, Fufa B, Haji J (2011) Pattern, trend and determinants of crop diversification: empirical evidence from smallholders in eastern Ethiopia. J Econ Sustain Dev 2(8):78–89

    Google Scholar 

  • Milovanovic V, Smutka L (2017) Asian countries in the global rice market. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 65(2):679–688

    Google Scholar 

  • Musser WN, Patrick GF (2001) How much does risk really matter to farmers? In: Just RE, Pope RD (eds) A Comprehensive Assessment of the Role in U.S. Agriculture. Kluwer Academic Publishers, Norwell, pp 537–555 (2002)

    Google Scholar 

  • Ogurtsov VA, Van Asseldonk MPAM, Huirne RBM (2008) Assessing and modelling catastrophic risk perceptions and attitudes in agriculture: a review. NJAS-Wagening J Life Sci 56(1–2):39–58

    Google Scholar 

  • Olarinde LO, Manyong VM, Akintola JO (2007) Attitudes towards risk among maize farmers in the dry savanna zone of Nigeria: some prospective policies for improving food production. Afr J Agric Res 2(8):399–408

    Google Scholar 

  • Ono K, Kawagoe S, Kazama S (2010) Analysis of the risk distribution of slope failure in Thailand by the use of GIS data. In: Christodoulou G, Stamou AI (eds) Environmental hydraulics. Taylor & Francis Group, London, pp 1189–1194

    Google Scholar 

  • PDMA Punjab (2014) Monsoon Contingency Plan Punjab 2014, Punjab Provincial Disaster Management Authority (PDMA). http://www.pdma.gov.pk/sites/default/files/Monsoon_Contingency_Plan_PP_2014.pdf

  • Pakistan Bureau of Statistics (PBS) (2017) Economic survey of Pakistan (2016–17) Ministry of Finance. Finance division Islamabad, Government of Pakistan

    Google Scholar 

  • Pakistan Bureau of Statistics (PBS) (2018) Economic survey of Pakistan (2017–18) Ministry of Finance. Finance division Islamabad, Government of Pakistan

    Google Scholar 

  • Peng CYJ, Lee KL, Ingersoll GM (2002) An introduction to logistic regression analysis and reporting. J Educ Res 96(1):3–14

    Google Scholar 

  • Pratt JW (1964) Risk aversion in the small and in the large. Econometrica 32(1/2):122–136

    Google Scholar 

  • Provincial Disaster Management Authority, (PDMA) (2018) Punjab disaster response plan report 2018. Government of Pakistan, Punjab

    Google Scholar 

  • Raskin R, Cochran MJ(1986): Interpretations and transformations of scale for the Pratt Arrow absolute risk aversion coefficient: implications for generalized stochastic dominance, West J Agric Econ 204–210

  • Rehima M, Belay K, Dawit A, Rashid S (2013) Factors affecting farmers’ crops diversification: evidence from Snnpr, Ethiopia. Int J Agric Sci 3(6):558–565

    Google Scholar 

  • Rizwan M, Ping Q, Saboor A, Ahmed UI, Zhang D, Deyi Z, Teng L (2019) Measuring rice farmers’ risk perceptions and attitude: evidence from Pakistan. Hum Ecol Risk Assess Int J:1–16

  • Saqib S, Ahmad MM, Panezai S Ali U (2016) Factors influencing farmers adoption of agriculture credit as a risk management strategy: the case of Pakistan. Int J Disaster Risk Reduct 10

  • Sarwar B, Saeed R (2013) Risk perception and risk management strategies by farmers in agriculture sector of Pakistan. Sci Pap Ser Manag Econ Eng Agric Rural Dev 13(3):267–270

    Google Scholar 

  • Senkondo EM (2000) Risk attitude and risk perception in agroforestry decisions: the case of Babati, Tanzania

  • Sherman R, Daniel M, Shahnila I, Nicola C, Bernardo C, Arthur G et al (2015) Climate change adaptation in agriculture: Ex ante analysis of promising and alternative crop technologies using DSSAT and IMPACT. IFPRI Discussion Paper 1469. International Food Policy Research Institute (IFPRI), Washington, DC Available at: http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/129694. Accessed 07 July 2016

  • Singla S, Sagar M (2012) Integrated risk management in agriculture: an inductive research. J Risk Financ 13(3):199–214. https://doi.org/10.1108/15265941211229235

    Article  Google Scholar 

  • Smidts A (1990) Decision making under risk. A study of models and measurement procedures with special reference to the farmer’s marketing behavior (no. 18). Agricultural University

  • Tavernier EM, Onyango BM (2008) Utilization of farm management risk strategies at rural/urban fringe. Afr J Agric Res 3(8):554–565

    Google Scholar 

  • Teixeira EI, Fischer G, van Velthuizen H, Walter C, Ewert F (2013) Global hot-spots of heat stress on agricultural crops due to climate change. Agric For Meteorol 170:206–215

    Google Scholar 

  • Torkamani J (2005) Using a whole-farm modeling approach to assess prospective technologies under uncertainty. Agric Syst 85(2):138–154

    Google Scholar 

  • Turral H, Burke JJ, Faurès JM (2011) Climate change, water and food security. Food and Agriculture Organization of the United Nations, Rome

    Google Scholar 

  • Ullah R, Jourdain D, Shivakoti GP, Dhakal S (2015) Managing catastrophic risks in agriculture: simultaneous adoption of diversification and precautionary savings. Int J Disaster Risk Reduct 12:268–277. https://doi.org/10.1016/j.ijdrr.2015.02.001

    Article  Google Scholar 

  • Wang E, Cresswell H, Bryan B, Glover M, King D (2009) Modeling farming systems performance at catchment and regional scales to support natural resource management. NJAS-Wagening J Life Sci 57(1):101–108

    Google Scholar 

  • Wang JX, Roush ML (2000) What every engineer should know about risk engineering and management. Marcel Dekker Inc.

  • Ward PS, Singh V (2015) Using field experiments to elicit risk and ambiguity preferences: behavioral factors and the adoption of new agricultural technologies in rural India. J Dev Stud 51(6):707–724

    Google Scholar 

  • Yapici G, Ögenler O, Kurt AÖ, Koçaş F, Şaşmaz T (2017) Assessment of environmental attitudes and risk perceptions among university students in Mersin, Turkey. J Environ Public Health

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Ahmad, D., Afzal, M. & Rauf, A. Environmental risks among rice farmers and factors influencing their risk perceptions and attitudes in Punjab, Pakistan. Environ Sci Pollut Res 27, 21953–21964 (2020). https://doi.org/10.1007/s11356-020-08771-8

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