Abstract
An intertemporal social welfare optimisation framework proposed by Fischer et al. (1996) describes desirable scenarios of land use and land cover change in the future for China. This chapter intends to demonstrate that it is feasible to integrate a land degradation dimension into this framework, if the required quantitative data are available. We show how to incorporate the land degradation dimension into the profit maximisation process of a representative farm as part of resource management. Land units are categorised according to their soil and climate characteristics to represent the spatial heterogeneity. They can shift from higher quality classes to lower ones as a result of land degradation, while it is also possible to reverse this process by land conservation measures. Land degradation is treated as an integral element of an economic transformation function. The basic assumption is that users of the land farmers in particular notice the negative effect of land degradation on their production potentials. They are supposed to have opportunities to cancel these negative effects by investing in land and/or by increasing the volume of their input packages.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Albersen, P.J., G. Fischer, M.A. Keyzer & L. Sun (in prep.): Estimation of agricultural production relations in the LUC Model for China, Amsterdam: SOW-VU, and Laxenburg, Austria: IIASA
Alfsen, K.H., M.A. De Franco, S. GlomsrØd & T. Johnson (1996): The cost of soil erosion in Nicaragua. Ecological Economics 16, 147–163
Aune, J.B., S. Glomsrod, V. Iversen & H. Wiig (1997): Structural adjustment and soil degradation in Tanzania: A CGE model approach with endogenous soil productivity. Statistics Norway discussion paper no. 189. Statistics Norway, Oslo
Bie, S.W. (1990): Dryland degradation measurement techniques. Environment Working Paper No. 26. The World Bank, Washington, D.C.
Carter, C.A. & Bin Zhang (1998): The weather factor and variability in China’s grain supply. Journal of Comparative Economics 26, 529–543
FAO (1978): Report on the agro-ecological zones project, Vol 3. Methodology and results for South and Central America. World Soil Resources Report 48/3. FAO, Rome
FAO/IIASA (1993): Agro-ecological assessments for national planning: the example of Kenya, FAO Soils Bulletin 67, FAO, Rome.
Fischer, G., Y. Ermoliev, M.A. Keyzer & C. Rosenzweig (1996): Simulating the socioeconomic and biogeophysical driving forces of land-use and land-cover change: The IIASA Land-Use Change model. Working Paper WP-96–010, IIASA, Laxenburg
Fischer, G., H.T. van Velthuizen & F.O. Nachtergaele (1999): Global agro-ecological zones assessment: Methodology and results. Interim Report IR-99–053, IIASA, Laxenburg
Ginsburgh, V. & M.A. Keyzer (1997): The structure of applied general equilibrium Models. MIT Press, Cambridge, MA
Gunning, J.W. & M.A. Keyzer (1995): Applied general equilibrium models for policy analysis. In: J. Behrman & T.N. Srinivasan (Eds.) Handbook of development economics, Vol. IIIA. North Holland, Amsterdam
Heilig, G.K. (1999): ChinaFood. Can China Feed Itself? CD-ROM version 1.1. IIASA, Laxenburg
Keyzer, M.A. (1998): Formulation and spatial aggregation of agricultural production relationships within the Land Use Change (LUC): model, Interim Report IR-98092/October. IIASA, Laxenburg
Kruseman, G. & H. van Keulen (2000): Soil degradation and agricultural production: economic and biophysical approaches. This volume
Lindert, P.H. (1999): The bad earth? China’s soils and agricultural development since the 1930s. Economic Development and Cultural Change 47, 701–736
Llewelyn, R.V. & A.M. Featherstone (1996): A comparison of crop production functions, using simulated data for irrigated corn in Western Kansas, Kansas State University, Mimeo.
Lynden, G.W.J. van & L.R. Oldeman (1997): The assessment of the status of human-induced soil degradation in South and Southeast Asia. UNEP, FAO, ISRIC, Wageningen
Miller, D.J. & A.J. Plantinga (1999): Modelling land use decisions with aggregate data, American Journal of Agricultural Economics 81, 180–194
Perman, R., Y. Ma & J. McGilvray (1996): Natural resource and environmental economics. Longman, London
Pierce, F.J. & R. Lal (1994): Monitoring soil erosion’s impact on crop productivity. In: R. Lal (Ed.), Soil erosion research methods. SWCS, Ankeny, Iowa
Sanders, J.H., D.D. Southgate & J.G. Lee (1995): The economics of soil degradation: technological change and policy alternatives. Technical monograph soil management support services no. 22. Purdue Univeristy, West Lafayette
Van Kooten, G.C. (1993): Land resource economics and sustainable development: Economic policies and the common good. UBC Press, Vancouver, BC
Voortman, R.L., B.G.J.S. Sonneveld & M.A. Keyzer (2000): African land ecology: opportunities and constraints for agricultural development, CID Working Paper No. 37, Center for International Development, Harvard
Wischmeier, W.H. (1976): Use and misuse of the universal soil loss equation. Journal of Soil and Water Conservation 31, 5–9
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Albersen, P.J., Sun, L. (2001). Land Degradation as a Transformation Process in an Intertemporal Welfare Optimisation Framework. In: Heerink, N., van Keulen, H., Kuiper, M. (eds) Economic Policy and Sustainable Land Use. Contributions to Economics. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57558-7_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-57558-7_4
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1351-7
Online ISBN: 978-3-642-57558-7
eBook Packages: Springer Book Archive