Accessible Requires Authentication Published by De Gruyter October 24, 2014

Blood Diamonds, Dirty Gold and Spatial Spill-overs Measuring Conflict Dynamics in West Africa

Sara Balestri and Mario A. Maggioni

Abstract

Although conflict incidence is likely to be characterized by spatial dependence, the scientific literature on conflicts often neglects the issue thus, implicitly, assuming independence among observations. We argue that such assumption could lead to biased and inconsistent results and we provide an exemplary application to the case of the Mano River Region (MRR) in West Africa. Once we detected the existence of spatial dependence within the distribution of conflict incidence, we introduce spatial econometrics techniques in order to explore diffusion paths of violence within the region. We firstly project on a spatially disaggregated map, built as a regular grid, the conflict occurrence and several georeferenced determinants of civil conflicts. Then, we model spatial dependence through the introduction of spatial autoregressive terms on both dependent and independent variables (SAR and SD Models). Across several models, civil conflict is found steadily clustered in space with significant spill-over effects on contiguous locations. Among other determinants, natural resources – namely diamonds and gold – are confirmed as relevant drivers of conflict diffusion and show neighbouring effects since their location and proximity may affect conflict dynamics.

JEL classification numbers: C21; D74; N47; N57; Q34

Corresponding author: Sara Balestri, DISEIS (Department of International Economics, Institutions and Development) and CSCC (Cognitive Science and Communication Research Centre), Università Cattolica del Sacro Cuore, L.go Gemelli, 1. I-20123 Milano, Italy, E-mail:

References

Anselin, L., (1988), A Test for Spatial Autocorrelation in Seemingly Unrelated Regressions, Economics Letters, vol. 28, no. 4, pp. 335–341. Search in Google Scholar

Anselin, L., O’Loughlin, D., (1992), Geography of International Conflict, in Chatterji M., Kuenne R. E., (eds.), Dynamics and Conflict in Regional Structural Change, New York University Press, New York, NY, pp. 325–345. Search in Google Scholar

Balestri, S., (2013), GOLDATA. The Gold Deposits Dataset. UCSC Milan, CSCC Working Paper(1). Search in Google Scholar

Banegas, R., Marshall-Fratani, R., (2007), Cote d’Ivoire: Negotiating Identity and Citizenship, in Bøås M., Dunn K. C., (eds.), Africa Guerrillas: Raging Against the Machine, Lynne Rienner, Boulder, CO, pp. 81–111. Search in Google Scholar

Blattman, C., Miguel, E., (2010), Civil War, Journal of Economic Literature, vol. 48, no. 1, pp. 3–57. Search in Google Scholar

Buhaug, H., Gleditsch, K. S., (2008), Contagion or Confusion? Why Conflicts Cluster in Space, International Studies Quarterly, vol. 52, no. 2, pp. 215–233. Search in Google Scholar

Conley, T. G., (1999), GMM Estimation with Cross Sectional Dependence, Journal of Econometrics, vol. 92, no. 1, pp. 1–45. Search in Google Scholar

Gersovitz, M., Kriger, N., (2013), What is A Civil War? A Critical Review of its Definition and (Econometric) Consequences, World Bank Policy Research Working Paper, 6397. Search in Google Scholar

Gilmore, E., Gleditsch, N. P., Lujala, P., Ketil Rod, J., (2005), Conflict Diamonds: A New Dataset, Conflict Management and Peace Science, vol. 22, no. 3, pp. 257–272. Search in Google Scholar

Harari, M., LaFerrara, E., (2013), Conflict, Climate and Cells: A Disaggregated Analysis, CEPR Discussion Paper DP9277. Search in Google Scholar

Kelejian, H. H., Prucha, I. R., (1998), A Generalized Spatial Two-Stage Least Squares Procedure for Estimating A Spatial Autoregressive Model with Autoregressive Disturbances, Journal of Real Estate Finance and Economics, vol. 17, no. 1, pp. 99–121. Search in Google Scholar

LeSage, J. P., Pace, K. R., (2004), Spatial Statistics and Real Estate, The Journal of Real Estate Finance and Economics, vol. 29, no. 2, pp. 147–148. Search in Google Scholar

Maggioni, M. A., Nosvelli, M., Uberti, T. E., (2007), Space Versus Networks in the Geography of Innovation: A European Analysis, Papers in Regional Science, vol. 86, no. 3, pp. 471–493. Search in Google Scholar

Rudolf, B., Becker, A., Schneider, U., Meyer-Christoffer, A., Ziese, M., (2010), GPCC Status Report, Global Precipitation Climatology Centre, http://gpcc.dwd.de. Search in Google Scholar

Salehyan, I., (2009), Rebels Without Borders: Transnational Insurgencies in World Politics, Cornell University Press, Ithaca, NY. Search in Google Scholar

Silberfein, M., Conteh, A., (2006), Boundaries and Conflict in the Mano River Region of West Africa, Conflict Management and Peace Science, vol. 23, no. 4, pp. 343–361. Search in Google Scholar

Sundberg, R., Melander, E., (2013), Introducing the UCDP Georeferenced Event Dataset, Journal of Peace Research, vol. 50, no. 4, pp. 523–532. Search in Google Scholar

Tollefsen, A. F., Strand, H., Buhaug, H., (2012), PRIO-GRID: A Unified Spatial Data Structure, Journal of Peace Research, vol. 49, no. 2, pp. 363–374. Search in Google Scholar

Weidmann, N. B., Rød, J. K., Cederman, L., (2010), Representing Ethnic Groups in Space: A New Dataset, Journal of Peace Research, vol. 47, no. 4, pp. 491–499. Search in Google Scholar

Published Online: 2014-10-24
Published in Print: 2014-12-1

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