Skip to main content

Advertisement

Log in

Examining the effects of climate change on rice production: case study of Pakistan

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

The current empirical study explores the linkage between carbon dioxide (CO2) emissions, average temperature, cultivated area, consumption of fertilizer, and rice production in Pakistan. For this research, the annual time series data from 1968 to 2014 were used to enhance the validity of the empirical outcomes. The cointegration analysis with the auto-regressive distributed lag (ARDL) bounds testing approach is applied to explore the effects of climate change on rice production. Additionally, the estimated long-run outcomes are verified by employing fully modified ordinary least squared (FMOLS) and canonical cointegrating regression (CCR) approaches. The empirical outcomes revealed that the selected important study variables are cointegrated demonstrating the existence of long-run linkages among them. The main fruitful outcomes of this study are that rice production in Pakistan is positively affected by the carbon dioxide (CO2) emissions in both long-run and short-run.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Abbreviations

ARDL-bounds test:

Autoregressive distributed-lag (ARDL) bounds test

UCB:

Upper critical bound

LCB:

Lower critical bound

AIC:

Akaike information criteria

SBC:

Schwarz Bayesian criteria

HQC:

Hannan-Quinn information criterion

ECM:

Error correction model

OLS:

Ordinary least square

ADF:

Augmented Dickey-Fuller

PP:

Phillips Perron

KPSS:

Kwiatkowski, Phillips, Schmidt and Shin

CUSUM:

Cumulative sum of recursive residuals

CUSUMSQ:

Cumulative sum of squares of recursive residuals

FMOLS:

Fully modified ordinary least square

DOLS:

Dynamic ordinary least square

GOP:

Government of Pakistan

WDI:

World development indicator.

References

  • Abid M, Ngaruiya GW, Scheffran J, Zulfiqar F (2017) The role of social networks in agricultural adaptation to climate change: implications for sustainable agriculture in Pakistan. Climate 5(4):1–22

    Article  CAS  Google Scholar 

  • Abid M, Scheffran J, Schneider UA, Elahi E (2019) Farmer perceptions of climate change, observed trends and adaptation of agriculture in Pakistan. Environ Manag 63:110–123

    Article  Google Scholar 

  • Ahmed M, Schmitz M (2011) Economic assessment of the impact of climate change on the agriculture of Pakistan. Business and Economic Horizons 4(1):1–12

    Article  Google Scholar 

  • Ahmed A, Devadason ES, Al-Amin AQ (2016) Implications of climate change damage for agriculture: sectoral evidence from Pakistan. Environ Sci Pollut Res 23(20):20688–20699

    Article  Google Scholar 

  • Ali A, Erenstein O (2017) Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan. Clim Risk Manag 16:183–194

    Article  Google Scholar 

  • Ali, S., Liu, Y., Ishaq, M., Shah, T., Abdullah, Ilyas, A., Din, I.U., 2017. Climate change and its impact on the yield of major food crops: evidence from Pakistan. Foods, 6(6), 1–19

  • Appiah K, Du J, Poku J (2018) Causal relationship between agricultural production and carbon dioxide emissions in selected emerging economies. Environ Sci Pollut Res 25(25):24764–24777

    Article  Google Scholar 

  • Arshad M, Amjathbabu TS, Kachele H, Muller K (2016) What drives the willingness to pay for crop insurance against extreme weather events (flood and drought) in Pakistan? A hypothetical market approach. Clim Dev 8(3):234–244

    Article  Google Scholar 

  • Arshad M, Kachele H, Krupnik TJ, Amjathbabu TS, Aravindakshan S, Abbas A, Mehmood Y, Muller K (2017) Climate variability, farmland value, and farmers’ perceptions of climate change: implications for adaptation in rural Pakistan. Int J Sust Dev World 24:532–544

    Article  Google Scholar 

  • Asuamah YS, Amponsah L, Hoggar GK (2015) Climate change and agriculture: modeling the impact of carbon dioxide emission on cereal yield in Ghana. Agriculture and Food Sciences Research 2

  • Chandio AA, Jiang Y, Gessesse AT, Dunya R (2017) The nexus of agricultural credit, farm size and technical efficiency in Sindh, Pakistan: a stochastic production frontier approach. J Saudi Soc Agric Sci 18:348–354

    Google Scholar 

  • Chandio AA, Jiang Y, Joyo MA, Pickson RB (2018a) Research on factors influencing grain crops production in Pakistan: an ARDL approach. European Online Journal of Natural and Social Sciences 7:538–553

    Google Scholar 

  • Chandio AA, Jiang Y, Rehman A, Dunya R (2018b) The linkage between fertilizer consumption and rice production: empirical evidence from Pakistan. AIMS Agriculture and Food 3:295–305

    Article  Google Scholar 

  • Chandio AA, Yuansheng J (2018) Determinants of adoption of improved rice varieties in northern Sindh, Pakistan. Rice Sci 25:103–110

    Article  Google Scholar 

  • Dickey DA, Fuller WA (1981) Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica:1057–1072

  • Elliott G (1999) Efficient tests for a unit root when the initial observation is drawn from its unconditional distribution. Int Econ Rev 40:767–784

    Article  Google Scholar 

  • Engle RF, Granger CW (1987) Co-integration and error correction: representation, estimation, and testing. Econometrica 55:251–276

    Article  Google Scholar 

  • Ghulam, R., Afzal, M., Zahid, M., Bukhari, S., 2012. Climate change in Pakistan focused on Sindh Province. Technical Report No. PMD-25/2012 Pakistan Meteorological Department

  • GOP (2011) Pakistan economic survey 2010–11. Economic Advisor's Wing, Ministry of Finance, Government of Pakistan, Islamabad

    Google Scholar 

  • GOP (2016) Pakistan economic survey 2015–16. Economic Advisor's Wing, Ministry of Finance, Government of Pakistan, Islamabad

    Google Scholar 

  • GOP (2018) Pakistan economic survey 2017–18. Economic Advisor's Wing, Ministry of Finance, Government of Pakistan, Islamabad

    Google Scholar 

  • Gorst A, Dehlavi A, Groom B (2018) Crop productivity and adaptation to climate change in Pakistan. Environ Dev Econ 23:679–701

    Article  Google Scholar 

  • Hanif U, Syed SH, Ahmad R, Malik KA (2010) Economic impact of climate change on the agricultural sector of Punjab. Pak Dev Rev 49:771–798

    Article  Google Scholar 

  • Hussain AH (2012) Impact of credit disbursement, area under cultivation, fertilizer consumption and water availability on rice production in Pakistan (1988-2010). Sarhad Journal of Agriculture 28(1):95–101

    Google Scholar 

  • Janjua PZ, Samad G, Khan N (2014) Climate change and wheat production in Pakistan: an autoregressive distributed lag approach. NJAS-Wageningen Journal of Life Sciences 68:13–19

    Article  Google Scholar 

  • Johansen S, Juselius K (1990) Maximum likelihood estimation and inference on cointegration—with applications to the demand for money. Oxf Bull Econ Stat 52(2):169–210

    Article  Google Scholar 

  • Joyo M, Ram N, Magsi H (2018) Risk assessment of climate variability on rice productivity in Sindh Province of Pakistan. Pakistan Journal of Agriculture, Agricultural Engineering and Veterinary Sciences 34:68–77

    Google Scholar 

  • Krishnan P, Ramakrishnan B, Reddy KR, Reddy V (2011) High-temperature effects on rice growth, yield, and grain quality. Adv Agron 111:87–206

    Article  CAS  Google Scholar 

  • Kwiatkowski D, Phillips PC, Schmidt P, Shin Y (1992) Testing the null hypothesis of stationarity against the alternative of a unit root: how sure are we that economic time series have a unit root? J Econ 54:159–178

    Article  Google Scholar 

  • Magsi H, Sheikh MJ (2017) Seawater intrusion: land degradation and food insecurity among coastal communities of Sindh, Pakistan, regional cooperation in South Asia. Springer, pp:209–223

  • Ng S, Perron P (2001) Lag length selection and the construction of unit root tests with good size and power. Econometrica 69:1519–1554

    Article  Google Scholar 

  • Pesaran MH (1997) The role of economic theory in modelling the long run. Econ J 107:178–191

    Article  Google Scholar 

  • Pesaran MH, Shin Y, Smith RJ (2001) Bounds testing approaches to the analysis of level relationships. J Appl Econ 16:289–326

    Article  Google Scholar 

  • Phillips PC, Perron P (1988) Testing for a unit root in time series regression. Biometrika 75:335–346

    Article  Google Scholar 

  • Rasul G, Mahmood A, Sadiq A, Khan S (2012) Vulnerability of the Indus delta to climate change in Pakistan. Pakistan Journal of Meteorology 8(16):89–107

    Google Scholar 

  • Siddiqui R, Samad G, Nasir M, Jalil HH (2012) The impact of climate change on major agricultural crops: evidence from Punjab, Pakistan. Pak Dev Rev 51:261–276

    Article  Google Scholar 

  • Vaghefi N, Shamsudin MN, Radam A, Rahim KA (2016) Impact of climate change on food security in Malaysia: economic and policy adjustments for rice industry. J Integr Environ Sci 13(1):19–35

    Article  Google Scholar 

  • Wassmann R, Jagadish S, Heuer S, Ismail A, Redona E, Serraj R, Singh R, Howell G, Pathak H, Sumfleth K (2009) Climate change affecting rice production: the physiological and agronomic basis for possible adaptation strategies. Adv Agron 101:59–122

    Article  Google Scholar 

  • Yu Y, Huang Y, Zhang W (2012) Changes in rice yields in China since 1980 associated with cultivar improvement, climate and crop management. Field Crop Res 136:65–75

    Article  Google Scholar 

  • Zaied YB, Cheikh NB (2015) Long-run versus short-run analysis of climate change impacts on agricultural crops. Environmental Modeling & Assessment 20:259–271

    Article  Google Scholar 

  • Zhu T, Ringler C, Iqbal MM, Sulser TB, Goheer MA (2013) Climate change impacts and adaptation options for water and food in Pakistan: scenario analysis using an integrated global water and food projections model. Water Int 38:651–669

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ilhan OZTURK.

Ethics declarations

Conflict of interest

The authors declare that they no conflict of interest.

Ethical statement

The manuscript has not been previously published, is not currently submitted for review to any other journal, and will not be submitted elsewhere before a decision is made by this journal.

Additional information

Responsible editor: Philippe Garrigues

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

CHANDIO, A.A., MAGSI, H. & OZTURK, I. Examining the effects of climate change on rice production: case study of Pakistan. Environ Sci Pollut Res 27, 7812–7822 (2020). https://doi.org/10.1007/s11356-019-07486-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-019-07486-9

Keywords

Navigation