Individual and social optima of rural land allocation by stakeholders: a case study on eco-fragile areas of northern China
Min Liu A D , Wim Heijman A , Xueqin Zhu A , Liesbeth Dries A and Jikun Huang B CA Department of Social Sciences, Wageningen University, The Netherlands.
B Centre for Chinese Agricultural Policy, Chinese Academy of Sciences, China.
C Centre for Chinese Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, China.
D Corresponding author. Email: min.liu@wur.nl
The Rangeland Journal 38(1) 57-72 https://doi.org/10.1071/RJ15069
Submitted: 27 July 2015 Accepted: 11 February 2016 Published: 11 March 2016
Abstract
Divergences in preferences over the allocation of rural land among stakeholders are getting stronger with the decrease of rural land area. This paper analyses the degree of divergences among different stakeholders over the allocation of four types of land: cultivated land, grassland, forest and other land, and explores the optimal allocation from the social perspective of balancing economic and ecological benefits. Considering the heterogeneity of stakeholders that are concerned with land-use decisions, we distinguish four types of stakeholders, namely, ecological authorities, economic authorities, herders and farmers. The diverging preferences of these four stakeholder types over the different types of land use were quantified using the Analytic Hierarchy Process. Weights for each stakeholder type were derived for three scenarios: equal weights, weights based on income distribution and weights based on labour force distribution. Welfare analysis was employed then to determine the individual optimal allocation by maximising the utility function of each stakeholder type. Social optimal allocation was derived by maximising the social welfare function, which is the weighted sum of individual utilities. Tai Pusi County, located in an eco-fragile area of northern China, was taken as a case to present the empirical analysis. Individual optima revealed the degree of divergences among stakeholders and the social optima revealed the optimal allocation based on social welfare. Our results provide policy insights on how to achieve an efficient allocation of rural land, balancing the ecological and economic benefits of different stakeholders from different types of land.
Additional keywords: Analytic Hierarchy Process, stakeholder preferences.
References
Angelsen, A. (2001). Playing games in the forest: State-local conflicts of land appropriation. Land Economics 77, 285–299.| Playing games in the forest: State-local conflicts of land appropriation.Crossref | GoogleScholarGoogle Scholar |
Barker, A. J., and Selman, P. H. (1990). Managing the rural environment: An emerging role for planning authorities. Journal of Environmental Management 31, 185–196.
| Managing the rural environment: An emerging role for planning authorities.Crossref | GoogleScholarGoogle Scholar |
Chen, Q., Zhang, J., and Yang, L. (2007). GIS description of the Chinese ecotone between farming and animal husbandry. Journal of Lanzhou University (Natural Sciences) 43, 24–28.
Dorji, T., Fox, J. L., Richard, C., and Dhondup, K. (2010). An assessment of nonequilibrium dynamics in rangelands of the Aru basin, Northwest Tibet, China. Rangeland Ecology and Management 63, 426–434.
| An assessment of nonequilibrium dynamics in rangelands of the Aru basin, Northwest Tibet, China.Crossref | GoogleScholarGoogle Scholar |
European Commission (2012). Communication from the commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. In: ‘Innovating for Sustainable Growth: A Bioeconomy for Europe.’ (Government report) pp. 8–15. (European Commission: Brussels, Belgium.)
Feng, Z., Yang, Y., Zhang, Y., Zhang, P., and Li, Y. (2005). Grain-for-green policy and its impacts on grain supply in West China. Land Use Policy 22, 301–312.
| Grain-for-green policy and its impacts on grain supply in West China.Crossref | GoogleScholarGoogle Scholar |
Freeman, R. E. (1984). ‘Strategic Management: a Stakeholder Approach.’ (Cambridge University Press: Cambridge, UK.)
Gerlagh, R., and Keyzer, M. A. (2004). Path-dependence in a Ramsey model with resource amenities and limited regeneration. Journal of Economic Dynamics & Control 28, 1159–1184.
| Path-dependence in a Ramsey model with resource amenities and limited regeneration.Crossref | GoogleScholarGoogle Scholar |
Gerlagh, R., and Keyzer, M. A. (2003). Efficiency of conservationist measures: An optimist viewpoint. Journal of Environmental Economics and Management 46, 310–333.
| Efficiency of conservationist measures: An optimist viewpoint.Crossref | GoogleScholarGoogle Scholar |
Han, J. G., Zhang, Y. J., Wang, C. J., Bai, W. M., Wang, Y. R., Han, G. D., and Li, L. H. (2008). Rangeland degradation and restoration management in China. The Rangeland Journal 30, 233–239.
| Rangeland degradation and restoration management in China.Crossref | GoogleScholarGoogle Scholar |
Heijman, W. J. M., and Mouche, P. V. (2013). A procedure for determining an optimal landscape and its monetary value. In: ‘The Economic Value of Landscapes’. (Eds C. M. V. D. Heide and W. J. M. Heijman.) pp. 123–129. (Routledge Publishing: Oxon, UK.)
Kokoye, S. E. H., Tovignan, S. D., Yabi, J. A., and Yegbemey, R. N. (2013). Econometric modeling of farm household land allocation in the municipality of Banikoara in Northern Benin. Land Use Policy 34, 72–79.
| Econometric modeling of farm household land allocation in the municipality of Banikoara in Northern Benin.Crossref | GoogleScholarGoogle Scholar |
Koo, J. L., Koo, B. L., and Shin, Y. H. (2013). An optimal investment, consumption, leisure, and voluntary retirement problem with Cobb-Douglas utility: Dynamic programming approaches. Applied Mathematics Letters 26, 481–486.
| An optimal investment, consumption, leisure, and voluntary retirement problem with Cobb-Douglas utility: Dynamic programming approaches.Crossref | GoogleScholarGoogle Scholar |
Li, W. J., Ali, S. H., and Zhang, Q. (2007). Property rights and grassland degradation: A study of the Xilingol Pasture, Inner Mongolia, China. Journal of Environmental Management 85, 461–470.
| Property rights and grassland degradation: A study of the Xilingol Pasture, Inner Mongolia, China.Crossref | GoogleScholarGoogle Scholar |
Liu, J., and Diamond, J. (2005). China’s environment in a globalizing world. Nature 435, 1179–1186.
| China’s environment in a globalizing world.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXls1OntLw%3D&md5=1fd350fb5a016093dee0b2f556809dddCAS | 15988514PubMed |
Liu, C., Lu, J., and Yin, R. (2010a). An estimation of the effects of china’s priority forestry programs on farmers’ income. Environmental Management 45, 526–540.
| An estimation of the effects of china’s priority forestry programs on farmers’ income.Crossref | GoogleScholarGoogle Scholar | 20140673PubMed |
Liu, J., Zhang, Z., Xu, X., Kuang, W., Zhou, W., Zhang, S., Li, R., Yan, C., Yu, D., Wu, S., and Jiang, N. (2010b). Spatial patterns and driving forces of land use change in China during the early 21st century. Journal of Geographical Sciences 20, 483–494.
| Spatial patterns and driving forces of land use change in China during the early 21st century.Crossref | GoogleScholarGoogle Scholar |
Local Bureau of Statistics of Tai Pusi County (2013). ‘Statistical Yearbook of Tai Pusi County.’ pp. 1–8. (Local Press of Tai Pusi County Publishing: Tai Pusi County, Inner Mongolia.)
Lopez, R. A., Shah, F. A., and Altobello, M. A. (1994). Amenity benefits and the optimal allocation of land. Land Economics 70, 53–62.
| Amenity benefits and the optimal allocation of land.Crossref | GoogleScholarGoogle Scholar |
Nath, R., Luan, Y., Yang, W., Yang, C., Chen, W., Li, Q., and Cui, X. (2015). Changes in arable land demand for food in India and China: A potential threat to food security. Sustainability (Switzerland) 7, 5371–5397.
| Changes in arable land demand for food in India and China: A potential threat to food security.Crossref | GoogleScholarGoogle Scholar |
Negishi, T. (1972). ‘General Equilibrium Theory and International Trade.’ (North-Holland Publishing Company: Amsterdam, The Netherlands.)
Ostrom, E. (2007). A diagnostic approach for going beyond panaceas. Proceedings of the National Academy of Sciences of the United States of America 104, 15181–15187.
| A diagnostic approach for going beyond panaceas.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXhtFagtb7I&md5=b3778ca563cc0dbbf47178e9c4c4a2dfCAS | 17881578PubMed |
Ostrom, E. (2009). A general framework for analysing sustainability of social-ecological-systems. Science 325, 419–422.
| A general framework for analysing sustainability of social-ecological-systems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXovVCht7k%3D&md5=8a8d18db23efc751d64507a6722ba78aCAS | 19628857PubMed |
Ouyang, Z. Y. (2013). Ecosystem service assessment and applications for conservation policies in China. Paper presented at the Sustainable Natural Resource Management in Rural China – Governing markets. (Conference Committee: Nanjing, China.)
Pacione, M. (2013). Private profit, public interest and land use planning – A conflict interpretation of residential development pressure in Glasgow’s rural-urban fringe. Land Use Policy 32, 61–77.
| Private profit, public interest and land use planning – A conflict interpretation of residential development pressure in Glasgow’s rural-urban fringe.Crossref | GoogleScholarGoogle Scholar |
Perman, R., Ma, Y., Common, M. S., Maddison, D., and McGilvray, J. (2011). ‘Natural Resource and Environmental Economics.’ 4th edn. (Pearson Education Limited: Essex, UK.)
Petit, S. (2009). The dimensions of land use change in rural landscapes: Lessons learnt from the GB Countryside Surveys. Journal of Environmental Management 90, 2851–2856.
| The dimensions of land use change in rural landscapes: Lessons learnt from the GB Countryside Surveys.Crossref | GoogleScholarGoogle Scholar | 18835081PubMed |
Pollak, R. A. (1979). Bergson-Samuelson Social Welfare Functions and the Theory of Social Choice. The Quarterly Journal of Economics 93, 73–90.
| Bergson-Samuelson Social Welfare Functions and the Theory of Social Choice.Crossref | GoogleScholarGoogle Scholar |
Qasim, M., Hubacek, K., and Termansen, M. (2013). Underlying and proximate driving causes of land use change in district Swat, Pakistan. Land Use Policy 34, 146–157.
| Underlying and proximate driving causes of land use change in district Swat, Pakistan.Crossref | GoogleScholarGoogle Scholar |
Rambonilaza, M., and Dachary-Bernard, J. (2007). Land-use planning and public preferences: What can we learn from choice experiment method? Landscape and Urban Planning 83, 318–326.
| Land-use planning and public preferences: What can we learn from choice experiment method?Crossref | GoogleScholarGoogle Scholar |
Ran, S., Jin, J., and Zeng, S. (2001). Division of vulnerable ecology region type and analysis of its characteristic. China Population, Resource and Environment 11, 73–77.
Saaty, T. (1980). ‘The Analytic Hierarchy Process.’ (McGraw-Hill Publishing: New York.)
Saaty, T. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research 48, 9–26.
| How to make a decision: The analytic hierarchy process.Crossref | GoogleScholarGoogle Scholar |
Santé, I., and Crecente, R. (2007). LUSE, a decision support system for exploration of rural land use allocation: Application to the Terra Chá district of Galicia (N.W. Spain). Agricultural Systems 94, 341–356.
| LUSE, a decision support system for exploration of rural land use allocation: Application to the Terra Chá district of Galicia (N.W. Spain).Crossref | GoogleScholarGoogle Scholar |
Santé-Riveira, I., Crecente-Maseda, R., and Miranda-Barrós, D. (2008). GIS-based planning support system for rural land-use allocation. Computers and Electronics in Agriculture 63, 257–273.
| GIS-based planning support system for rural land-use allocation.Crossref | GoogleScholarGoogle Scholar |
Train, K., and McFadden, D. (1978). The goods/leisure trade-off and disaggregate work trip mode choice models. Transportation Research 12, 349–353.
| The goods/leisure trade-off and disaggregate work trip mode choice models.Crossref | GoogleScholarGoogle Scholar |
Turner Ii, B. L., Moss, R. H., and Skole, D. L. (1993). Relating land use and global land-cover change. A proposal for an IGBP-HDP core project.
Turner Ii, B. L., Meyer, W. B., and Skole, D. L. (1994). Global land-use/land-cover change: towards an integrated study. Ambio 23, 91–95.
Uchida, E., Xu, J., and Rozelle, S. (2005). Grain for green: Cost-effectiveness and sustainability of China’s conservation set-aside program. Land Economics 81, 247–264.
| Grain for green: Cost-effectiveness and sustainability of China’s conservation set-aside program.Crossref | GoogleScholarGoogle Scholar |
Vaidya, O. S., and Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research 169, 1–29.
| Analytic hierarchy process: An overview of applications.Crossref | GoogleScholarGoogle Scholar |
Vargas, L. G. (1990). An overview of the analytic hierarchy process and its applications. European Journal of Operational Research 48, 2–8.
| An overview of the analytic hierarchy process and its applications.Crossref | GoogleScholarGoogle Scholar |
Verburg, P. H., Eickhout, B., and van Meijl, H. (2008). A multi-scale, multi-model approach for analyzing the future dynamics of European land use. The Annals of Regional Science 42, 57–77.
| A multi-scale, multi-model approach for analyzing the future dynamics of European land use.Crossref | GoogleScholarGoogle Scholar |
Verburg, P. H., Tabeau, A., and Hatna, E. (2013). Assessing spatial uncertainties of land allocation using a scenario approach and sensitivity analysis: A study for land use in Europe. Journal of Environmental Management 127, S132–S144.
| Assessing spatial uncertainties of land allocation using a scenario approach and sensitivity analysis: A study for land use in Europe.Crossref | GoogleScholarGoogle Scholar | 23026356PubMed |
Williams, K. J. H., and Schirmer, J. (2012). Understanding the relationship between social change and its impacts: The experience of rural land use change in south-eastern Australia. Journal of Rural Studies 28, 538–548.
| Understanding the relationship between social change and its impacts: The experience of rural land use change in south-eastern Australia.Crossref | GoogleScholarGoogle Scholar |
Yang, K., and Bi, P. (2009). Research on relation of arable land and grain yield based on VAR model in China. In: ‘Academic Conference Proceedings of 2009 Geology Resource Management and Sustainable Development, CGRMSD 2009’. (Eds K. Yang and P. Bi.) pp. 197–200. (Conference Committee: Lu Shan, China.)
Yang, Y. F., Niu, P., and Zhu, L. Q. (2012). Study on the evaluation of rural land-use conflict intensity. Journal of Food, Agriculture and Environment 10, 1479–1482.
Zarei, A., Dadashpoor, H., and Amini, M. (2015). Determination of the optimal land use allocation pattern in Nowshahr County, Northern Iran. Environment, Development and Sustainability , .
Zeng, B., and Edwards, G. P. (2010). Perceptions of pastoralists and conservation reserve managers on managing feral camels and their impacts. The Rangeland Journal 32, 63–72.
| Perceptions of pastoralists and conservation reserve managers on managing feral camels and their impacts.Crossref | GoogleScholarGoogle Scholar |
Zhan, J. Y., Deng, X. Z., Jiang, Q., and Shi, N. (2007). The application of system dynamics and CLUE-S model in land use change dynamic simulation: a case study in Tai Pusi County, Inner Mongolia of China. In: ‘Proceedings of Conference on Systems Science, Management Science and System Dynamics’. (Ed. X. Z. Deng.) pp. 2781–2790. (Conference Committee: Shang Hai, China.)
Zhu, X. (2004). Environmental-Economic Modelling of Novel Protein Foods: A General Equilibrium Approach. PhD Thesis, Wageningen University, The Netherlands.
Zhu, X., and van Ierland, E. (2006). The enlargement of the European Union: Effects on trade and emissions of greenhouse gases. Ecological Economics 57, 1–14.
| The enlargement of the European Union: Effects on trade and emissions of greenhouse gases.Crossref | GoogleScholarGoogle Scholar |