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Nieves Perez Rodríguez
GI-1934. Universidade de Santiago de Compostela
Spain
https://orcid.org/0000-0002-5914-4020
Eduardo José Corbelle Rico
Departamento de Enxeñería Agroforestal. Campus Terra. Universidade de Santiago de Compostela
Spain
https://orcid.org/0000-0002-2382-6767
Francisco José Ónega López
Universidade de Santiago de Compostela
Spain
https://orcid.org/0000-0001-7677-8968
No 13 (2017), Original articles
DOI: https://doi.org/10.15304/rr.id5055
Submitted: 11-04-2018 Accepted: 11-04-2018 Published: 12-04-2018
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Abstract

In this work we explore the viability of multistakeholder parcel exchange as a tool to reduce land use
fragmentation and improve the structure of farms. We aimed at identifying the criteria and the most relevant variables from the perspective of beef and dairy cattle farmers, hoping that the knowledge generated serves as the basis for the design of information technology-based support tools. Qualitative analysis of information gathered in personal interviews with farmers and local technicians made it clear
that there is margin for improvement in the current land structure of farms and that farmers are already familiar with parcel exchange (on a one-to-one basis). Our results allowed us to define the main advantages and disadvantages of a process of these characteristics from the perspective of its potential beneficiarie.
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References

Abubakari, Z., van der Molen, P., Bennett, R., Kuusaana, E., 2016. Land consolidation, customary lands, and Ghana’s northern savannah ecological zone: An evaluation of the possibilities and pitfalls. Land Use Policy 54, 386-398.

Aerts, J. C. J. H., van Herwijnen, M., Janssen, R., Stewart, T. J., 2005. Evaluating spatial design techniques for solving land-use allocation problems. Journal of Environmental Planning and Management 48 (1), 121-142.

Ahlstrom, D., & Bruton, G. D., 2002. An institutional perspective on the role culture in shaping strategic actions by technology-focused entrepreneurial firms in China. Entrepreneurship: Theory and Practice, 26(4), 53-70.

Akkus, M., Karagoz, O., Dulger, O., July 2012. Automated land reallotment using genetic algorithm. In: International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 1-5.

Balling, R. J., Taber, J. T., Brown, M. R., Day, K., 1999. Multiobjective urban planning using genetic algorithm. Journal of Urban Planning and Development 125 (2), 16-99.

Bernal, C., 2000. Metodología de la investigación para administración y economía. Bogotá: Pearson Educación.

Binns, B., 1950. The consolidation of fragmented agricultural holdings. Food and Agriculture Organization of the United Nations.

Borgwardt, S., Brieden, A., Gritzmann, P., 2014. Geometric clustering for the consolidation of farmland and woodland. The Mathematical Intelligencer 36 (2), 37-44.

Cay, T., Iscan, F., 2011. Fuzzy expert system for land reallocation in land consolidation. Expert Systems with Applications 38 (9), 11055-11071.

Crecente, R., Alvarez, C., Fra, U., 2002. Economic, social and environmental impact of land consolidation in Galicia. Land Use Policy 19 (2), 135-147.

Deininger, K., Savastano, S., Carletto, C., 2012. Land Fragmentation, Cropland Abandonment, and Land Market Operation in Albania. World Development 40 (10), 2108-2122.

Demetriou, D., Stillwell, J., See, L., 2012. Land consolidation in Cyprus: Why is an Integrated Planning and Decision Support System required? Land Use Policy 29 (1), 131-142.

FAO, 2003. The design of land consolidation pilot projects in Central and Eastern Europe. Technical Report 6, United Nations Food and Agriculture Organization.

Guanghui, J., Xinpan, W., Wenju, Y., Ruijuan, Z., 2015. A new system will lead to an optimal path of land consolidation spatial management in China. Land Use Policy 42, 27-37.

Haldrup, N. O., 2015. Agreement based land consolidation - in perspective of new modes of governance. Land Use Policy 46, 163-177.

Hartvigsen, M., 2014. Land reform and land fragmentation in Central and Eastern Europe. Land Use Policy 36 (0), 330-341.

Hiironen, J., Niukkanen, K., 2014. On the structural development of arable land in Finland - How costly will it be for the climate? Land Use Policy 36 (0), 192-198.

Implications for the Roles of State and Community in Post-Socialist Land Consolidation. World Development 37 (8), 1411-1423.

Kai, C., Bo, H., Qing, Z., Shengxiao, W., 2009. Land use allocation optimization towards sustainable development based on genetic algorithm. In: 17th International Conference on Geoinformatics, pp. 1-5.

Kilgore, M. A., Snyder, S. A., 2016. Exploring the relationship between parcelization metrics and natural resource managers’ perceptions of forest land parcelization intensity. Landscape and Urban Planning 149, 43-48.

Kupidura, A., Luczewski, M., Home, R., Kupidura, P., 2014. Public perceptions of rural landscapes in land consolidation procedures in Poland. Land Use Policy 39 (0), 313-319.

Latruffe, L., Piet, L., 2014. Does land fragmentation affect farm performance? A case study from Brittany, France. Agricultural Systems 129 (0), 68-80.

Lisec, A., Primozic, T., Ferlan, M., Sumrada, R., Drobne, S., 2014. Landowners’ perception of land consolidation and their satisfaction with the results - Slovenian experiences. Land Use Policy 38 (0), 550-563.

Liu, Y., Tang, W., He, J., Liu, Y., Ai, T., Liu, D., 2015. A land-use spatial optimization model based on genetic optimization and game theory. Computers, Environment and Urban Systems 49, 1-14.

Malhotra, N. K., 1997. Investigación de mercados. Pearson Educación.

man Hui, E. C., ping Leung, B. Y., hung Yu, K., 2014. The impact of different land-supplying channels on the supply of housing. Land Use Policy 39 (0), 244-253.

Manjunatha, A., Anik, A. R., Speelman, S., Nuppenau, E., 2013. Impact of land fragmentation, farm size, land ownership and crop diversity on profit and efficiency of irrigated farms in India. Land Use Policy 31 (0), 397-405.

Martínez, R., Solla, M., Arias, P., Armesto, J., 2013. Semi-automatic land consolidation software based on geographic information systems. Computers and Electronics in Agriculture 97 (0), 1-5.

Muchová, Z., Leitmanová, M., Petrovic, F., 2016. Possibilities of optimal land use as a consequence of lessons learned from land consolidation projects (Slovakia). Ecological Engineering 90, 294-306.

North, D. C., 1990. Institutions, institutional change and economic performance. Cambridge university press.

Orea, L., Perez, J. A., Roibas, D., 2015. Evaluating the double effect of land fragmentation on technology choice and dairy farm productivity: A latent class model approach. Land Use Policy 45 (0), 189-198.

Ostrom, E., 1990. Governing the commons. Cambridge university press.

Pasakarnis, G., Maliene, V., 2010. Towards sustainable rural development in Central and Eastern Europe: Applying land consolidation. Land Use Policy 27 (2), 545-549.

Pasakarnis, G., Morley, D., Maliene, V., 2013. Rural development and challenges establishing sustainable land use in Eastern European countries. Land Use Policy 30 (1), 703-710.

Pires, R. R. C., & Gomide, A. D. A., 2014. Burocracia, democracia e políticas públicas: arranjos institucionais de políticas de desenvolvimento (No. 1940). Texto para Discussão, Instituto de Pesquisa Econômica Aplicada (IPEA).

Porta, J., Parapar, J., Doallo, R., Barbosa, V., Santé, I., Crecente, R., Díaz, C., 2013a. A population-based iterated greedy algorithm for the delimitation and zoning of rural settlements. Computers, Environment and Urban Systems 39 (0), 12-26.

Porta, J., Parapar, J., Doallo, R., Rivera, F. F., Santé, I., Crecente, R., 2013b. High performance genetic algorithm for land use planning. Computers, Environment and Urban Systems 37 (0), 45-58.

Rahman, S., Rahman, M., 2009. Impact of land fragmentation and resource ownership on productivity and efficiency: The case of rice producers in bangladesh. Land Use Policy 26 (1), 95-103.

Real Decreto 1075/2014, de 19 de diciembre, sobre la aplicación a partir de 2015 de los pagos directos a la agricultura y a la ganadería y otros regímenes de ayuda, así como sobre la gestión y control de los pagos directos y de los pagos al desarrollo rural. Dispoñible en: https://www.boe.es/diario_boe/txt.php?id=BOE-A-2014-13256.

Real Decreto 1076/2014, de 19 de diciembre, sobre asignación de derechos de régimen de pago básico de la Política Agrícola Común https://www.boe.es/diario_boe/txt.php?id=BOE-A-2014-13257

Reglamento (UE) Nº 1307/2013, de 17 de diciembre, por el que se establecen normas aplicables a los pagos directos a los agricultores en virtud de los regímenes de ayuda incluidos en el marco de la Política Agraria Común y por el que se derogan los Reglamentos (CE) nº 637/2008 y (CE) nº 73/2009 del Consejo. Dispoñible en: https://www.boe.es/doue/2013/347/L00608-00670.pdf

Rendenieks, Z., gerts Nikodemus, O., Br umelis, G., 2015. The implications of stand composition, age and spatial patterns of forest regions with different ownership type for management optimisation in northern Latvia. Forest Ecology and Management 335, 216-224.

Schaich, H., Plieninger, T., 2013. Land ownership drives stand structure and carbon storage of deciduous temperate forests. Forest Ecology and Management 305, 146-157.

Segers, K., Dessein, J., Hagberg, S., Teklebirhan, Y., Haile, M., Deckers, J., 2010. Unravelling the dynamics of access to farmland in Tigray, Ethiopia: The `emerging land market’ revisited. Land Use Policy 27 (4), 1018-1026.

Sikor, T., Müller, D., 2009. The Limits of State-Led Land Reform: An Introduction. World Development 37 (8), 1307-1316.

Sikor, T., Müller, D., Stahl, J., 2009. Land Fragmentation and Cropland Abandonment in Albania:

Sklenicka, P., Janovska, V., Salek, M., Vlasak, J., Molnarova, K., 2014. The farmland rental paradox: Extreme land ownership fragmentation as a new form of land degradation. Land Use Policy 38 (0), 587-593.

Stewart, T. J., Janssen, R., 2014. A multiobjective gis-based land use planning algorithm. Computers, Environment and Urban Systems 46, 25-34.

Stewart, T. J., Janssen, R., Herwijnen, M., 2004. A genetic algorithm approach to multiobjective land use planning. Computers & Operations Research 31, 2293-2313.

Suárez, M., Santé, I., Rivera, F. F., Crecente, R., Boullón, M., Porta, J., Parapar, J., Doallo, R., 2011. A Parallel Algorithm Based On Simulated Annealing For Land Use Zoning Plans. In: International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA). Las Vegas, Nevada, EEUU, pp. 360-366.

Uyan, M., Cay, T., Inceyol, Y., Hakli, H., 2015. Comparison of designed different land reallocation models in land consolidation: A case study in Konya/Turkey. Computers and Electronics in Agriculture 110 (0), 249-258.

Vallejo, M., Rieser, V., Corne, D. W., 2015. Genetic algorithm evaluation of green search allocation policies in multilevel complex urban scenarios. Journal of Computational Science 9, 57-63.

van Dijk, T., 2003. Scenarios of Central European land fragmentation. Land Use Policy 20 (2), 149-158.

van Dijk, T., Kopeva, D., 2006. Land banking and Central Europe: future relevance, current initiatives, Western European past experience. Land Use Policy 23 (3), 286-301.

Vranken, L., Swinnen, J., 2006. Land rental markets in transition: Theory and evidence from Hungary. World Development 34 (3), 481-500.

Xibao, X., Jianming, Z., Xiaojian, Z., 2006. Integrating GIS, cellular automata and genetic algorithm in urban spatial optimization. A case study of Lanzhou. In: Proc of SPIE. Vol. 6420. 64201U-1 - 64201U-10.

Xin, H., Zhi-xia, Z., 2008. Application of genetic algorithm to spatial distribution in urban planning. In: IEEE International Symposium on Knowledge Acquisition and Modeling Workshop. pp. 1026-1029, wuhan, China.

Yan, J., Xia, F., Bao, H. X., 2015. Strategic planning framework for land consolidation in China: A top-level design based on SWOT analysis. Habitat International 48, 46-54. Zhang, H. H., Zeng, Y. N., Bian, L., 2010. Simulating multi-objective spatial optimization allocation of land use based on the integration of multi-agent system and genetic algorithm. International Journal of Environmental Research 4 (4), 765-776.