آثار رشد اقتصادی و شهرنشینی استان مازندران در کیفیت محیط زیست آبی با تأکید بر رودخانه های استان

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشیار گروه اقتصاد کشاورزی دانشگاه علوم کشاورزی و منابع طبیعی ساری

2 دانشجوی دوره دکتری گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری

3 دانشجوی دوره دکتری گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری

چکیده

فعالیت­های اقتصادی طیف وسیعی از آسیب­های محیط­زیستی نظیر از بین رفتن جنگل‏ها، آلودگی منابع آب سطحی و زیرزمینی و آلودگی هوا را به همراه دارد. استان مازندران با توجه به ویژگی­های طبیعی از حیث آب­های سطحی و زیرزمینی بسیار غنی و دارای رودهای متعددی است. هدف این پژوهش بررسی رابطه­ آلودگی آب و رشد اقتصادی در استان مازندران در چارچوب منحنی محیط زیستی کوزنتس با استفاده از داده­های پانل و روش گشتاورهای تعمیم­یافته (GMM) طی سال­های 1393-1380 بود. نتایج نشان داد که شاخص آلودگی آب با متغیر شهرنشینی، تولید ناخالص داخلی و مکعب آن رابطه مثبت و با مجذور تولید ناخالص داخلی رابطه منفی دارد. همچنین نتایج، رابطه­ N شکل میان آلودگی آب و سایر متغیرها را نشان داد. مثبت شدن توان سوم تولید ناخالص داخلی نیز نشان­دهنده­ افزایش آلودگی آب همراه با توسعه اقتصادی بود و در این راستا، پیشنهاد شد دولت تصمیمات لازم را برای جلوگیری از افزایش آلودگی بیشتر انجام دهد.

کلیدواژه‌ها


عنوان مقاله [English]

The Effects of Economic Growth and Urbanization of Mazandaran Province of Iran on Environmental Quality of Water with Emphasis on Rivers of the Province

نویسندگان [English]

  • Hamid Amirnejad 1
  • Mahsa Taslimi 2
  • fatemeh mazraeh 3
1 Associate Professor, Department of Agricultural Economics, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
2 PhD Student in Agricultural Economics, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
3 PhD Student in Agricultural Economics, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
چکیده [English]

Economic activities have a wide range of environmental impacts such as forest degradation, Surface and underground water pollution and air pollution. Mazandaran province of Iran is very rich in surface and underground water and has many rivers due to its natural characteristics. This study aimed at investigating the relationship between water pollution and economic growth in this province within the framework of Kuznets' environmental curve using panel data and generalized method of moments (GMM) during 2001-2014. The study results showed that the water pollution index was positively correlated with urbanization variable, GDP and its cubes and had a negative relation to GDP squared. The results also showed an N-shaped relationship between the water pollution and other variables. Positive third-rate gross domestic product (GDP) indicated an increase in the water pollution associated with economic development, which suggested that the government should make the necessary decisions to prevent further contamination.

کلیدواژه‌ها [English]

  • Water Pollution
  • Economic Growth
  • Kuznets curve
  • Generalized Method of Moments (GMM)
  • Mazandaran (Province)
  1. Alam, S., Ambreen, F. and Butt, M. S. (2007). Sustainable development in Pakistan in the context of energy consumption demand and environmental degradation. Journal of Asian Economics, 18: 825-837.
  2. Alishiri, H., Sajadifar, S. H. and Mohammadbagheri, A. (2017). Validity of the environmental Kuznets curve hypotheses in water pollution a case study. Journal of Water and Wastewater, 28(1):57-64. (Persian)
  3. Alizadeh, M. and Golkhandan, A. (2015). Measuring the impact of the internet on trade in services. Journal of Economic Development Policy, 2(5):157-179. (Persian)
  4. Amirnejad, H. and Ataie Solute, K. (2011). Economic valuation of environmental resources. Sari: Avaye Masih. (Persian)
  5. Amirnejad, H. and Asadpour Kordi, M. (2014). The group examined the relationship between air pollution, GDP, energy intensity and openness in Iran (Applications of Environmental Kuznets hypothesis). Journal of Agricultural Economics, 8(3):117-132. (Persian).
  6. Anderson, T.W. and Hsiao, C. (1981). Estimation of dynamic models with error components. Journal of the American Statistical Association, 76: 589-606.
  7. Arbab, H. R. and Abbasifar, Z. (2012). Evaluation of the relation between water pollution and economic growth in developing countries and developed countries. Journal of Iranian Energy Economics, 1(3):1-16. (Persian)
  8. Arellano, M. and Bond, S. (1991). Some test of specification for panel data: Monte Carlo evidence and application to employment equations. Journal of Review of Economic Studies, 58(2): 277-297.
  9. Arellano, M. and Bover, O. (1995). Another look at the instrumental variable estimation of error components models. Journal of Econometrics, 68: 29-51.
  10. Baltagi, B. H. (2005). Econometric analysis of panel data. New York: John Wiley & Sons Inc.
  11. Barbier, E. B. (1997). Introduction to the environmental Kuznets curve special issue. Environment and Development Economics, 2: 369-381.
  12. Bartlet, B. (1994). The high cost of turning green. The Wall Street Journal. Available at: https://www.academia.edu/1421033/The_high_cost_of_turning_green. (Jun.12, 2016)
  13. Barua, A. and Hubacek, K. (2003). Water pollution and economic growth: an environmental Kuznets curve analysis at the watershed and state level. Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK.
  14. Beckerman, W. (1992). Economic growth and the environment: who's growth? whose environment?. World Development, 20(4): 481-496.
  15. Behboudi, D. and Barzegarie Dinabad, E. (2015). An empirical analysis of environmental pressures of GDP in Iran. Journal of Geography and Planning, 19(54):43-60. (Persian)
  16. Biabi, H., Mohammadi, H. and Abolhasani, L. (2014). Effect of selected economic factors affecting groundwater pollution in two groups of developed and developed countries. Journal of Agricultural Economics and Development, 29(1):86-93. (Persian)
  17. Blundell, R. and Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1): 115-143.
  18. Bond, S. R. (2002). Dynamic panel models: a guide to micro data methods and practice. Institute for Fiscal Studies / Department of Economics, UCL, CEMMAP (Centre for Micro Data Methods and Practice) Working Paper No.CWPO9/02.
  19. Bostanian, Gh., Maazed, H. and Saeghi Lari, A. (2009). Determination of linear relationship between BOD and COD in Zohreh River. The 2nd Environmental Engineering Conference and Exhibition, Tehran University. (Persian)
  20. Canas, A., Ferrao, P. and Conceicao, P. (2003). A new environmental Kuznets curve? relationship between direct material input and income per capita: evidence from industrialized countries. Ecological Economics, 46(2): 217–229.
  21. Chowdhury, R.R. and Moran, E.F. (2012). Turning the curve: a critical review of Kuznets approaches. Applied Geography, 32: 3–11.
  22. Dargahi, H. and Bahrami Gholami, M. (2012). The GHGs emissions determinants in selected OECD and OPEC countries and the policy implications for Iran: (panel data approach). Journal of Iranian Energy Economics, 1(1): 73-99. (Persian)
  23. Dizaji, M. and Gholaminejad Dizgah, S. (2012). Economic growth, human development and water pollution caused by economic activity in selected countries of the world. Journal of Applied Economics, 3(11):1-22. (Persian)
  24. Enders, W. (2004). Applied econometric time series. New York: Wiley Press.
  25. Firoozzare, A. and Shahnoushi, N. (2016). Application of multi-level modeling in analysis of environmental Kuznets curve: the case of 33 selected countries of four income groups. Journal of Economy and Regional Development, 22 (10):39-56. (Persian)
  26. Ghazali, S. and Zibaei, M. (2009). Analysis and analysis of the relationship between environmental pollution and economic growth using consolidated data: case study of carbon monoxide pollutant. Journal of Agricultural Economics and Development, 23(2):128-133.(Persian)
  27. Gleick, P. H. (1993). Water in crisis, a guide to the world's fresh water resources. New York: Oxford University Press.
  28. Halicioglu, F. (2009). An econometric study of co2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy, 37: 1156-1164.
  29. Halkos, G., Tzeremes, E. and Nickolaos G. (2009). Analysis exploring the existence of Kuznets curve in countries' environmental efficiency using DEA window analysis. Ecological Economics, 68: 2168–2176.
  30. HAWQS (Hydrologic and Water Quality System) Beta Webcast Schedule and Registration (2016). Available at https//www.epa.gov/waterdata/hawqshydrologic-and-water- quality -system (August 16, 2016).
  31. Hosseini Nasab, S. E. and Paykari, S. (2012). study of economic growth and trade relaxation on the pollution of environmentEconomic Journal Bimonthly Journal of Economic Issues and Policies, 12 (9 and 10):61-82.
  32. Imen, T. (2012). Is there an EKC relevant to the industrial emission of water pollution for SEMC and EU countries?. Environmental Management and Sustainable Development, 1(1): 31-43.
  33. Kao, C. (1999). Spurious regression and residual-based tests for co-integration in panel data. Journal of Econometrics, 90(1): 1- 44.
  34. Katz, D. (2014). Water use and economic growth: reconsidering the environmental Kuznets curve (EKC) relationship. Journal of Cleaner Production, 88: 205-213.
  35. Khoshakhlagh, R., Dalali Isfahani, R. and Yar Mohammadian, N. (2011). Environmental Kuznets curve analysis using the environmental quality process to choose household consumption basket. Journal of Economic Modeling Research, 2(6): 85-104. (Persian)
  36. Knapp, T. and Mookerjee, R. (1996). Population growth and global CO2 emissions. Energy Policy, 24(1):31–7.
  37. Mazandaran Province Rural Water and Wastewater Company. (2017). Available at http://www.abfa-mazandaran.ir
  38. Mohammadbagheri, A. (2010). Study of short-term and long-term relationships between GDP, energy consumption and carbon dioxide emissions. Journal of Energy Economics Studies, 27(7):101-129. (Persian)
  39. Nasrollahi, Z. and Ghafari Golak, M. (2010). The relationship between air pollution and economic growth in 28 provinces of Iran (the case study of co, so2 and nox). Journal of Knowledge and Development, 17(33):101-129. (Persian)
  40. Orubo, O. C. and Omotor, D. G. (2011). Environmental quality and economic growth: searching for environmental Kuznets curves for air and water pollutants in Africa. Energy Policy, 39: 4178-4188.
  41. Ozokcu, S. and Ozdemir, O. (2017). Economic growth, energy and environmental Kuznets curve. Renewable and Sustainable Energy Reviews, 27: 639-647.
  42. Paudel, K. P. (2014). Environmental Kuznets curve for water quality parameters at global level. PhD. Thesis, the Department of Agricultural Economics and Agribusiness at Louisiana State University Baton Rouge, Louisiana.
  43. Paudel, K. P., Zapata, H. and Susanto, D. (2005). An empirical test of environmental Kuznets curve for water pollution. Environmental and Resource Economics, 31(3): 325-348.
  44. Pink, D. H. (2006). Investing in tomorrow's liquid gold. Available at http://finance.yahoo.com/columnist/article/trenddesk/pp3748.
  45. Qin, Z. and Xizhe, P. (2012). The impacts of population change on carbon emissions in China during 1978–2008. Environmental Impact Assessment Review, 36: 1–8.
  46. Sadeghi, S. K., (2013). The investigation of relationship between co2 emissions and water pollutant in Iran. Environmental Economics Approach, 13(43):209-227.
  47. Satterwaite, D. (2008). Cities' contribution to global warming: notes on the allocation of greenhouse gas emissions. Environment and Urbanization, 20(2): 539-549
  48. Shaeri, M. H. (2015). Head of the Agriculture Commission. Available at http://drshaeri.ir/?p=1050.
  49. Shajari, H., Ostadi, H. and Kavousi, N. A. (2013). The role of international trade in environmental quality, case study: the Gulf States. Journal of Management System, 2(1):67-83. (Persian)
  50. Shu, L., Fantang, Z., Huaiyang, F. and Zhencheng, X. (2012). An empirical test of the environmental Kuznets curve in Guangdong Province, China. APCBEE Procedia, 1: 204-209.
  51. Tamizi, A. (2016). Determinants of co2 emissions in developing countries using bayesian econometric approach. Applied Theories of Economics2 (4):145-168. (Persian)
  52. Taskin, F. and Zaim, O. (2000). Searching for Kuznets curve in environmental efficiency using kernel estimation. Economics Letters, 68: 217-223.
  53. Tayebi, S. K., Haji Karami, M. and Sariri, H. (2011). The effect of financial and trade openness on financial development: evidence from Iran and its trade partners (1996-2009). Economic Development Research, 1(4):39-60. (Persian)
  54. Thompson, A. (2014). Environmental Kuznets curve for water pollution: the case of border countries. Modern Economy, 5(1): 66-69.
  55. Thompson, A. and Jeffords, C. (2017). Virtual water and an EKC for water pollution. Water Resources Management, 31: 1061-1066.
  56. Vitousek. P. M. and Ehrlich, P. R. (1989). Human appropriation of the products of photosynthesis. Bioscience, 36(6): 368-373.
  57. West, L. (2006). World water day: a billion people worldwide lack safe drinking water. Available at http://environment.about.com/od/environmentalevents/a/waterdayqa.html.
  58. Wong, Y. L. and Lewis, L. (2013).The disappearing environmental Kuznets curve: a study of water quality in the lower mekong basin (LMB). Environmental Management, 131: 415-425.
  59. Yang, J. (2016). Heterogeneity analysis of the relationship between economic growth and water environmental pollution in Beijing. Tianjin and Zhengzhou of China. Nature Environment & Pollution Technology, 15(1): 51-58.
  60. Ziaei Hezarjaribi, H., Yusefi, Z. and Mohammadpour Tahamtan, R. A. (2006). Parasitic contamination of wells drinking water in Mazandaran province (2002-2002). Journal of Kermanshah University of Medical Sciences (BEHBOOD), 10(4):378-388. (Persian)