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Water consumption, agriculture value added and carbon dioxide emission in Iran, environmental Kuznets curve hypothesis

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Abstract

Agriculture and natural resources have a mutual relationship with each other. The purpose of this study was to evaluate forward and backward relationship between natural resources and agricultural development. The relationship between the consumption of water and agricultural value added per capita income has been studied in order to obtain the forward relationship, and the relationship between carbon dioxide emissions and per capita income of the Iran’s agricultural sector has been assessed in order to obtain backward relationship. To test these relationships, the Kuznets theory is used. Therefore, Iran’s provinces information from 2001 to 2013 was used and models were estimated by using the panel data and spatial econometric. Results showed that there was an inverted U relationship between per capita income and water consumption and carbon dioxide emissions. Also, spatial estimation showed that both water consumption and carbon dioxide (CO2) emissions in agricultural sector had a direct relationship with the value of these two variables in the neighboring areas.

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References

  • Al-Mulali U, Weng-Wai C, Sheau-Ting L, Mohammed AH (2015) Investigating the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an indicator of environmental degradation. Ecol Indic 48:315–323

    Article  Google Scholar 

  • Anselin L (1988) Spatial econometrics, methods and models. Kluwer, Boston

    Book  Google Scholar 

  • Anselin L (2001) Spatial econometrics, a companion to theoretical econometrics. Blackwell, Oxford, pp 310–330

    Google Scholar 

  • Anselin L, Arribas-Bel D (2013) Spatial fixed effects and spatial dependence in a single cross-section. Pap Reg Sci 92(1):3–17

    Article  Google Scholar 

  • Anselin L, Le Gallo J, Jayet H (2008) Spatial panel econometrics. In: Matyas L, Sevestre P (eds) The econometrics of panel data, fundamentals and recent developments in theory and practice, 3rd edn. Springer, Berlin

    Google Scholar 

  • Arellano M, Bond S (1991) Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev Econ Stud 58:277–297

    Article  Google Scholar 

  • Arellano M, Bover O (1995) Another look at the instrumental variable estimation of error-components models. J Econom 68(1):29–51

    Article  Google Scholar 

  • Aslanidis N (2009) Environmental Kuznets curves for carbon emissions: a critical survey. http://ageconsearch.umn.edu/bitstream/54299/2/75-09.pdf

  • Auffhammer M, Carson RT (2008) Forecasting the path of China’s CO2 emissions using province level information. J Environ Econ Manag 55:229–247

    Article  Google Scholar 

  • Baltagi B (2009) Econometric analysis of panel data. Wiley, London

    Google Scholar 

  • Barbier E (2004) Water and economic growth. Econ Rec 80(248):1–16

    Article  Google Scholar 

  • Beckerman W (1992) Economic growth and the environment: whose growth? Whose environment? World Dev 20(4):481–496

    Article  Google Scholar 

  • Bhattarai M (2004) Irrigation Kuznets curve governance and dynamics of irrigation development: a global cross-country analysis from 1972 to 1991. International Water Management Institute, Colombo

    Google Scholar 

  • Birkelof LC (2010) Exploring differences in expenditure for the functionally impaired: neighborhood interaction and the federal structure. Ann Reg Sci 44(1):185–204

    Article  Google Scholar 

  • Blonigen BA, Davies RB, Waddell GR, Naughton HT (2007) FDI in space: spatial autoregressive relationships in foreign direct investment. Eur Econ Rev 51:1303–1325

    Article  Google Scholar 

  • Blundell R, Bond S (1998) Initial conditions and moment restrictions in dynamic panel data models. J Econom 87(1):115–143

    Article  Google Scholar 

  • Boubacar I (2015) Spatial determinants of U.S. FDI and exports in OECD countries. Econ Syst 40(1):135–144

    Article  Google Scholar 

  • Burnett JW, Bergstrom JC (2010) U.S. State-level carbon dioxide emissions: A spatial temporal econometric approach of the environmental Kuznets curve. Faculty Series No 96031 from the University of Georgia, Department of Agricultural and Applied Economics

  • Central Bank of Iran Database, 2014

  • Chen CC (2010) Spatial inequality in municipal solid waste disposal across regions in developing countries. Int J Environ Sci Tech 7(3):447–456

    Article  CAS  Google Scholar 

  • Choi I (2001) Unit root tests for panel data. J Int Money Finance 20:249–272

    Article  Google Scholar 

  • Cole MA (2004) Economic growth and water use. Appl Econ Lett 11:1–4

    Article  Google Scholar 

  • Costantini V, Mazzanti M, Montini A (2013) Environmental performance, innovation and spillovers. Evidence from a regional NAMEA. Ecol Econ 89:101–114

    Article  Google Scholar 

  • Debarsy N, Ertur C, LeSage JP (2011) Interpreting dynamic space–time panel data models. Stat Methodol 9(1–2):158–171

    Google Scholar 

  • Donfouet HPP, Jeanty WP, Malin E (2013) A spatial dynamic panel analysis of the environmental Kuznets curve in European countries. Working paper. http://crem.univ-rennes1.fr/wp/2013/201318.pdf

  • Duarte R, Pinilla V, Serrano A (2011) Looking backward to look forward: water use and economic growth from a long-term perspective. Working paper AEHE DT-1104. Asociación Española de Historia Económica

  • Duarte R, Pinilla V, Serrano A (2013) Is there an environmental Kuznets curve for water use? A panel smooth transition regression approach. Econ Model 31(2013):518–527

    Article  Google Scholar 

  • Elhorst JP (2011) Spatial panel model. Working paper. http://www.york.ac.uk/media/economics/documents/seminars/2011-12/Elhorst_November2011.pdf

  • Fredriksson P, Millimet DL (2002) Strategic interaction and determination of environmental policy across U.S. States. J Urban Econ 51(1):101–122

    Article  Google Scholar 

  • Germani AR, Morone P, Testa G (2014) Environmental justice and air pollution: a case study on Italian provinces. Ecol Econ 106(2014):69–82

    Article  Google Scholar 

  • Ghorbani R, Mondani F, Amirmoradi S, Feizi H, Khorramdel S, Teimouri M, Sanjani S, Anvarkhah S, Aghel H (2011) A case study of energy use and economical analysis of irrigated and dryland wheat production systems. Appl Energy 88:283–288

    Article  Google Scholar 

  • Gleick P (2003) Water use. Annu Rev Environ Resour 28:275–314

    Article  Google Scholar 

  • Goklany IM (2002) Comparing 20th century trends in U.S. and global agricultural water and land use. Water Int 27(3):321–329

    Article  Google Scholar 

  • Grossman GM, Krueger AB (1991) Environmental impact of a North American free trade agreement. National Bureau of Economic Research working paper 3914. NBER, Cambridge, MA

  • Hemati A, Mehrara M, Sayehmiri A (2011) New vision on the relationship between income and water withdrawal in industry sector. Nat Resour 2(3):191–196

    Google Scholar 

  • Im KS, Pesaran MH, Shin Y (2003) Testing for unit roots in heterogeneous panels. J Econ 115:53–74

    Article  Google Scholar 

  • Iran Water Resources Management Company Database, 2014

  • Jia S, Yang H, Zhang S, Wang L, Xia J (2006) Industrial water use Kuznets curve: evidence from industrialized countries and implications for developing countries. J Water Resour Plan Manag 132(3):183–191

    Article  Google Scholar 

  • Kaika D, Zervas F (2013a) The environmental Kuznets curve (EKC) theory-part A: concept, causes and the CO2 emissions case. Energy Policy 62:392–1402

    Google Scholar 

  • Kaika D, Zervas F (2013b) The environmental Kuznets curve (EKC) theory. Part B: critical issues. Energy Policy 62:1403–1411

    Article  Google Scholar 

  • Kander A, Lindmark M (2004) Energy consumption, pollutant emissions and growth in the long run: Sweden through 200 years. Eur Rev Econ Hist 8:297–335

    Article  Google Scholar 

  • Katz D (2015) Water use and economic growth: reconsidering the environmental Kuznets curve relationship. J Clean Prod 88:205–213

    Article  Google Scholar 

  • Keller W (2004) International technology diffusion. J Econ Lit 42(3):752–782

    Article  Google Scholar 

  • Kraft J, Kraft A (1978) On the relationship between energy and GNP. J Energy Dev 3:401–403

    Google Scholar 

  • Kuznets S (1955) Economic growth and income inequality. Am Econ Rev 65:1–28

    Google Scholar 

  • Maddala GS, Wu SA (1999) Comparative study of unit root tests with panel data and a new simple test. Oxf Bull Econ Stat 108:1–24

    Google Scholar 

  • Maddison D (2006) Environmental Kuznets curves: a spatial econometric approach. J Environ Econ Manag 51(2):218–230

    Article  Google Scholar 

  • Marrero GA (2010) Greenhouse gases emissions, growth and the energy mix in Europe. Energy Econ 32(6):1356–1363

    Article  Google Scholar 

  • Mirshojaeian Hosseini H, Rahbar F (2011) Spatial environmental Kuznets curve for Asian countries: study of CO2 and PM10. J Environ Stud 37(58):1–14 (in Persian)

    Google Scholar 

  • Molaei M, Kavoosi Kelashemi M, Rafiee H (2010) Investigation of cointegration relationship between per capita GDP and per capita CO2 emission and existence of environmental Kuznets curve for CO2 in Iran. Environ Sci 8(1):205–216 (in Persian)

    Google Scholar 

  • Murdoch JC, Sandler T, Sargent K (1997) A tale of two collectives: sulfur versus nitrogen oxides emission reduction in Europe. Economica 64:281–301

    Article  Google Scholar 

  • Najafi Alamdarlo H (2016) Spatial and temporal factors affecting agricultural trade in European Union (EU) and Economic Cooperation Organization (ECO). J Agric Sci Tech 18(Supplementary) (in press)

  • Najafi Alamdarlo H, Ahmadian M, Khalilian S (2016) Groundwater management at Varamin plain: the consideration of stochastic and environmental effects. Int J Environ Res 10(1):21–30

    Google Scholar 

  • Nakagawa H, Harada T, Ichinose T, Takeno K, Matsumoto S, Kobayashi M, Sakai M (2007) Bio methanol production and CO2 emission reduction from forage grasses, trees, and crop residues. JARQ 41(2):173–180

    Article  CAS  Google Scholar 

  • Nakicenovic N, Alcamo J, Davis G, Vries B, Fenhann J, Gaffin S, Gregory K, Grübler A, Jung TY, Kram T, Rovere E, Michaelis L, Mori S, Morita T, Pepper W, Pitcher H, Price L, Riahi K, Roehrl A,  Rogner H, Sankovski A, Schlesinger M, Shukla P, Smith S, Swart R, Rooijen S, Victor N, Dadi Z   (2000) Special report on emissions scenarios. In: Nakicenovic N, Swart R (eds) IPCC special reports. IPCC

  • Ozkan B, Fert C, Karadeniz F (2007) Energy and cost analysis for greenhouse and open-field grape production. Energy 32:1500–1504

    Article  Google Scholar 

  • Panayotou T (1993) Empirical tests and policy analysis of environmental degradation at different stages of economic development. Working paper WP238, Technology and Employment Program, International Labor Office, Geneva

  • Rock MT (1998) Freshwater use, freshwater scarcity, and socioeconomic development. J Environ Dev 7(3):278–301

    Article  Google Scholar 

  • Rupasingha A, Goetz SJ, Debertin DL, Pagoulatos A (2004) The environmental Kuznets curve for US counties: a spatial econometric analysis with extensions. Pap Reg Sci 83:407–424

    Article  Google Scholar 

  • Shahbazi K, Hamidi Razi D, Feshari M (2015) Investigating the factors affecting air pollution emissions in Caspian Sea countries: panel spatial Durbin model. J Environ Stud 41(1):107–127 (in Persian)

    Google Scholar 

  • Statistical Center of Iran Database, 2014

  • Vaseghi E, Esmaeili A (2010) Investigation of the determinant of CO2 emission in Iran (using environmental Kuznets curve). J Environ Stud 35(52):99–110 (in Persian)

    Google Scholar 

  • WWAP (2009) The United Nations world water development report 3: water in a changing world. UNESCO Publishing, Paris

    Google Scholar 

Download references

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  1. Agricultural Economic Department, Tarbiat Modares University, Tehran, Iran

    H. Najafi Alamdarlo

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Correspondence to H. Najafi Alamdarlo.

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Najafi Alamdarlo, H. Water consumption, agriculture value added and carbon dioxide emission in Iran, environmental Kuznets curve hypothesis. Int. J. Environ. Sci. Technol. 13, 2079–2090 (2016). https://doi.org/10.1007/s13762-016-1005-4

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