Introduction and Overview

  • Xiangzheng Deng
  • Yi Wang
  • Feng Wu
  • Tao Zhang
  • Zhihui Li
Chapter
First Online:
Part of the SpringerBriefs in Environmental Science book series (BRIEFSENVIRONMENTAL)

Abstract

With an increasing competition for water resources across sectors and regions, the river basin has been recognized as the appropriate unit of analysis for addressing the challenges of water management. Modeling at river basin scale can provide essential information for policymakers in resource allocation decisions. A river basin system is made up of water sources components, in-stream and off-stream demand components, and intermediate (treatment and recycling) components. Thus a river basin is not only characterized by natural and physical processes but also by man-made projects and management policies. The essential relations within each component and the interrelations among these components in the basin can be represented in an integrated modeling framework. Integrated hydrologic and economic models are well equipped to assess water management and policy issues in a river basin setting. Some models of natural and physical processes were developed by some scholars, and were widely used in river basin management, such as BASIN, SWAT and MIKE etc. There are very few models to analyze the water use in social-economic process. Therefore, this work describes the methodology and application of an integrated hydrologic–economic river basin model.

Keywords

River Basin Output Analysis Computable General Equilibrium Output Table Final Demand 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References

  1. Akita, T., Xie, B., & Kawamura, K. (1999). The regional economic development of Northeast China: An inter-regional input–output analysis. JESNA, 1(1), 53–78.Google Scholar
  2. Baumol, W. J. (2000). Leontief’s great leap forward: Beyond Quesnay, Marx and von Bortkiewicz. Economic Systems Research, 12, 141–152. doi: 10.1080/09535310050005662
  3. Berritella, M., Hoekstra, A. Y., Rehdanz, K., Roson, R., & Tol, R. S. J. (2007). The economic impact of restricted water supply: A computable general equilibrium analysis. Water Research, 41, 1799–1813.CrossRefGoogle Scholar
  4. Burniaux, J. M., & Truong, T. P. (2002). GTAP-E: An energy-environmental version of the GTAP model. GTAP Technical Papers. https://www.gtap.agecon.purdue.edu/resources/download/1203.pdf
  5. Cai, X., Ringler, C., & Rosegrant, M. W. (2006). Modelling water resources management at the basin level: Methodology and application to the Maipo River basin. http://www.ifpri.org/sites/default/files/publications/rr149.pdf
  6. Cai, X., Ringler, C., & You, J. Y. (2008). Substitution between water and other agricultural inputs: Implications for water conservation in a river basin context. Ecological Economics, 66(1), 38–50.CrossRefGoogle Scholar
  7. Calzadilla, A., Rehdanz, K., & Tol, R. S. J. (2010). The economic impact of more sustainable water use in agriculture: A computable general equilibrium analysis. Journal of Hydrology, 384(3), 292–305.CrossRefGoogle Scholar
  8. Chen, X., Shao, H., & Li, L. (1988). The theory and practice of input–output in contemporary China. Beijing: China Radio International press.Google Scholar
  9. Chenery, H., Clark, P., & Pinna, V. (1953). Regional analysis in the structure and growth of the Italian economy. Rome: U.S. Mutual Security Agency.Google Scholar
  10. Chisholm, M., & O’Sullivan, P. (1973). Freight flows and spatial aspects of the British economy. New York: Cambridge University Press.Google Scholar
  11. Decaluwe, B., Patry, A., & Savard, L. (1999). When water is no longer heaven sent: Comparative pricing analyzing in a CGE model. Working Paper 9908. CRÉFA 99-05, University of Laval.Google Scholar
  12. Deng, X., Zhao, Y., Wu, F., Lin, Y., Lu, Q., & Dai, J. (2010) Analysis of the trade-off between economic growth and the reduction of nitrogen and phosphorus emissions in the Poyang Lake Watershed, China. Ecological Modelling, 222(2), 330–336. doi:http://dx.doi.org/10.1016/j.ecolmodel.2010.08.032
  13. Deng, X. (2011). Modeling the dynamics and consequences of land system change. Berlin: Springer.CrossRefGoogle Scholar
  14. Diao, X., Dinar, A., Roe, T., Tsur, Y. (2008). A general equilibrium analysis of conjunctive ground and surface water use with an application to Morocco. Agricultural Economics, 38(2), 117–135. doi: 10.1111/j.1574-0862.2008.00287.x
  15. Diao, X., Roe, T. (2003). Can a water market avert the “double-whammy” of trade reform and lead to a “win–win” outcome? Journal of Environmental Economics and Management, 45(3), 708–723. doi:http://dx.doi.org/10.1016/S0095-0696(02)00019-0
  16. Diao, X., Roe, T., Doukkali, R., Doukkali, R. (2005). Economy-wide gains from decentralized water allocation in a spatially heterogenous agricultural economy. Environment and Development Economics, 10(3), 249–269. doi:http://dx.doi.org/10.1017/S1355770X05002068
  17. Dietzenbacher, E. (2002). Inter-regional multipliers: Looking backward, looking forward. Regional Studies, 36(2), 125–136. doi: 10.1080/00343400220121918
  18. Dietzenbacher, E., & Temurshoev, U. (2012). Input–output impact analysis in current or constant prices: Does it matter? Journal of Economic Structures, 1(1), 1–18. doi: 10.1186/2193-2409-1-4
  19. Diukanova, O. (2011). Modelling regional general equilibrium effects and irrigation in Canterbury. Water Policy, 13(2), 250–264. doi: 10.2166/wp.2010.090
  20. Dixon, P. B., Rimmer, M. T., & Wittwer, G. (2012). The theory of TERM-H2O. In G. Wittwer (Ed.), Economic modeling of water. Dordrecht: Springer.Google Scholar
  21. Dudu, H., & Cakmak, E. H. (2011). Regional impact of the climate change: A CGE analysis for Turkey. In Proceedings of Politics and Economic Development: ERF 17th Annual Conference, Turkey ERF.Google Scholar
  22. Elsaeed, G. (2012). Effects of climate change on Egypt’s water supply. National security and human health implications of climate change. Dordrecht: Springer.Google Scholar
  23. Geoffrey, J. D. (1984). The role of prior information in updating regional input–output models. Socio-Economic Planning Sciences, 18(5), 319–336.CrossRefGoogle Scholar
  24. Glasmeier, A. (2004) Geographic intersections of regional science: Reflections on Walter Izard’s contributions to geography. Journal of Geographical Systems, 6(1), 27–41. doi: 10.1007/s10109-003-0121-0
  25. Gomez, C. M., Tirado, D., & Rey‐Maquieira, J. (2004). Water exchanges versus water works: Insights from a computable general equilibrium model for the Balearic Islands. Water Resources Research, 40(10), W10502. doi: 10.1029/2004WR003235
  26. Graytak, D. (1970). Regional impact of inter-regional trade in input–output analysis. Papers of the Regional Science Association, 25(1), 203–217. doi: 10.1111/j.1435-5597.1970.tb01486.x
  27. Hassan, R., & Thurlow, J. (2011). Macro–micro feedback links of water management in South Africa: CGE analyses of selected policy regimes. Agricultural Economics, 42(2), 235–247. doi: 10.1111/j.1574-0862.2010.00511.x
  28. Ichimura, S., Wang, H. (2003). Inter-regional input–output analysis of the Chinese economy. Singapore: World Scientific.Google Scholar
  29. Isard, W. (1951). International and regional input–output analysis: A model of a space economy. The Review of Economics and Statistics, 33(4), 318–328.CrossRefGoogle Scholar
  30. Isard, W., & Langford, T. W. (1971). Regional input–output study: Recollections, reflections, and diverse notes on the Philadelphia experience. Cambridge, MA: MIT Press.Google Scholar
  31. Jackson, R., & Murray, A. (2004). Alternative input–output matrix updating formulations. Economic Systems Research, 16(2), 135–148. doi: 10.1080/0953531042000219268
  32. Juana, J. S., Strzepek, K. M., & Kirsten, J. F. (2011). Market efficiency and welfare effects of inter-sectoral water allocation in South Africa. Water Policy, 13(2), 220–231. doi: 10.2166/wp.2010.096
  33. Leontief, W. W. (1936). Quantitative input and output relations in the economic systems of the United States. The Review of Economics and Statistics, 18, 105–125. doi: 10.2307/1927837
  34. Leontief, W. W. (1941). The structure of American economy 1919–1929. Cambridge, MA: Harvard University Press. doi: 10.2307/1805821
  35. Lennox, J. A., & Diukanova, O. (2011). Modelling regional general equilibrium effects and irrigation in Canterbury. Water Policy, 13(2), 250–264. doi: 10.2166/wp.2010.090
  36. Letsoalo, A., Blignaut, J., De Wet, T., De Wit, M., Hess, S., & Richard, S. J. T., et al. (2007). Triple dividends of water consumption charges in South Africa. Water Resources Research, 43(5), W05412. doi: 10.1029/2005WR004076
  37. Liang, Q. M. (2007). Multi-regional input–output model for regional energy requirements and CO2 emissions in China. Energy Policy, 35, 1685–1700.CrossRefGoogle Scholar
  38. Liu, Q., & Okamoto, M. (2002) The compilation and problem of China’s regional input–output model. Statistical Research, 9, 58–64. [in Chinese]. Google Scholar
  39. Lofting, E. M., & Mcgauhey, P. H. (1968). Economic valuation of water. An input–output analysis of California water requirements. In Contribution, (Vol. 116). Berkeley: Water Resources Center.Google Scholar
  40. Miller, R. E. (1998). Regional and inter-regional input–output analysis. In W. Isard et al. (Ed.) Methods of inter-regional and regional analysis (pp. 41–134). Brookfield: Ashgate.Google Scholar
  41. Miller, R. E., & Blair, P. D. (2009). Input–output analysis: foundations and extensions. Cambridge: Cambridge University Press.Google Scholar
  42. Moses, L. N. (1995). The stability of inter-regional trading patterns and input–output analysis. American Economic Review, 45, 803–826.Google Scholar
  43. Munroe, D. K., Hewings, G. J., & Guo, D. (2007). The role of intraindustry trade in inter-regional trade in the Midwest of the US. In Globalization and regional economic modeling. Berlin: Springer.Google Scholar
  44. Peters, G. P., & Hertwich, E. G. (2006). Structural analysis of international trade: Environmental impacts of Norway. Economic Systems Research, 18(2), 155–181. doi: 10.1080/09535310600653008
  45. Polenske, K. R. (1980). The U.S. multiregional input–output accounts and model D.C. Heath and Company Lexington, MA, USA. http://ideas.repec.org/a/eee/jpolmo/v4y1982i2p275-275.Html
  46. Polenske, K. R., & Hewings, G. J. (2003). Trade and spatial economic interdependence. Papers in Regional Science, 83(1), 269–289. doi: 10.1007/s10110-003-0186-7
  47. Qi, S. (2007) Introduction to the compiling system of the Chinese regional input–output tables. Paper presented at the seventh Chinese input–output conference, Nanjing, China [in Chinese].Google Scholar
  48. Reed, W. E. (1967). Areal interaction in Indian: Commodity flows in the Bengal–Bihar industrial area. Research Papers Series No. 110 Department of Geography, the University of Chicago.Google Scholar
  49. Robinson, S., & Gehlhar, C. (1995). Land, water, and agriculture in Egypt: The economywide impact of policy reform. http://www.ifpri.org/sites/default/files/publications/tmdp01.pdf
  50. Sargento, A. L. M., & Ramos, P. M. N. (2003). Estimating trade flows between Portuguese regions using an input–output approach. In ERSA conference papers (No. ersa03p118) European Regional Science Association. http://ideas.repec.org/p/wiw/wiwrsa/ersa03p118.html
  51. Seung, C., Harris, T., Englin, J., & Netusil, N. (2000). Application of a computable general equilibrium (CGE) models to evaluate surface water relocation policies. The Review of Regional Studies, 29(2), 139–156.Google Scholar
  52. State Information Center. (2005). China’s regional input–output tables. Beijing: Social Sciences Academic Press.Google Scholar
  53. Wiedmann, T., Lenzen, M., & Turner, K. (2007). Examining the global environmental impact of regional consumption activities. Part 2: Review of input–output models for the assessment of environmental impacts embodied in trade. Ecological Economics, 61(1), 15–26.CrossRefGoogle Scholar
  54. Wiedmann, T., Wood, R., Lenzen, M., Minx, J., Guan, D., & Barrett, J. (2008). Development of an embedded carbon emissions indicator—producing a time series of input–output tables and embedded carbon dioxide emissions for the UK by using a MRIO data optimisation system. Final Report to the Department for Environment, Food and Rural Affairs by Stockholm Environment Institute at the University of York and Centre for Integrated Sustainability Analysis at the University of Sydney. Project Ref.: EV02033, July 2008, Defra, London, UK (2008). Executive summary: http://randd.defra.gov.uk/Document.aspx?Document=EV02033_7333_EXE.pdf
  55. Wittwer, G., & Griffith, M. (2012). The economic consequences of a prolonged drought in the Southern Murray-Darling Basin. Dordrecht: Springer.Google Scholar
  56. Zhang, Y. X., & Zhao, K. (2006). Inter-regional input–output analysis. Beijing: Social Sciences Academic Press. [in Chinese].Google Scholar
  57. Zhang, Z. Y., & Shi, M. J. (2011). Intra-industrial trade and interregional structural isomorphism of manufacturing industry based on China-IRIO2002. Acta Geographica Sinica, 66(6), 732–740. [in Chinese] Google Scholar

Copyright information

© The Author(s) 2014

Authors and Affiliations

  • Xiangzheng Deng
    • 1
  • Yi Wang
    • 2
  • Feng Wu
    • 3
  • Tao Zhang
    • 1
  • Zhihui Li
    • 1
    • 4
  1. 1.Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina
  2. 2.Institute of Policy and ManagementChinese Academy of SciencesBeijingChina
  3. 3.State Key Laboratory of Water Environment Simulation, School of EnvironmentBeijing Normal UniversityBeijingChina
  4. 4.University of Chinese Academy of SciencesBeijingChina

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