Geographical proximity on the valuations of unlisted agrarian companies: Does distance from company to company and to strategic points matter?
This paper is a first attempt to examine the role played by the geography on agrarian firms’ valuations. The geography was evaluated through the physical proximity from agrarian companies to other companies and to some strategic points which ease their accessibility to external economic agents. To get our purpose, we developed an empirical application on a sample of non-listed agrarian Spanish companies located in the region of Murcia over the period 2010-2015. We applied Discount Cash Flow methodology for non-listed companies to get their valuations. With this information, we used spatial econometric techniques to analyse the spatial distribution of agrarian firms’ valuations and model the behavior of this variable. Our results supported the assertion that agrarian firms’ valuations are conditioned by the geography. We found that firms with similar valuations tend to be grouped together in the territory. In addition, we found significant effects on agrarian firms valuations derived from the geographical proximity among closer agrarian companies and from them to external agents and transport facilities.
Alekneviciene V, Stonciuviene N, Zinkeviciene D, 2012. Value drivers of multifunctional and sustainable agricultural organisation: Cash flow discounting approach. Econ Sci Rural Dev Conf Proc 28: 152.
Alekneviciene V, Stonciuviene N, Zinkeviciene D, 2013. Determination of the fair value of a multifunctional family farm: A case study. Stud Agr Econ 115: 124-133. https://doi.org/10.7896/j.1319
Anselin, L, 1988. Lagrange multiplier test diagnostics for spatial dependence and spatial heterogeneity. Geograph Anal 20 (1): 1-17. https://doi.org/10.1111/j.1538-4632.1988.tb00159.x
Anselin L, Bera A, Florax R, Yoon M, 1996. Simple diagnostic tests for spatial dependence. Reg Sci Urban Econ 26 (1): 77-104. https://doi.org/10.1016/0166-0462(95)02111-6
Baginski S, Wahlen J, 2003. Residual income risk, intrinsic values, and share prices. Account Rev 78 (1): 327-351. https://doi.org/10.2308/accr.2003.78.1.327
Berger A, Udell G, 1998. The economics of small business finance: The roles of private equity and debt markets in the financial growth cycle. J Bank Financ 22 (6): 613-673. https://doi.org/10.1016/S0378-4266(98)00038-7
Chava S, Jarrow R, 2004. Bankruptcy prediction with industry effects. Rev Financ 8: 537-569. https://doi.org/10.1093/rof/8.4.537
Chen H, 2010. Macroeconomic conditions and the puzzles of credit spreads and capital structure. J Financ 65 (6): 2171-2212. https://doi.org/10.1111/j.1540-6261.2010.01613.x
Chiffoleau Y, Touzard J, 2014. Understanding local agrarian systems through advice network analysis. Agr Human Val 31 (1): 19-32. https://doi.org/10.1007/s10460-013-9446-6
Damodaran A, 2002. Investment valuation: Tools and techniques for determining the value of any asset (2nd ed.). John Wiley & Sons, Inc, NY.
Davis DE, Schluter GE, 2005. Labor-force heterogeneity as a source of agglomeration economies in an empirical analysis of county-level determinants of food plant entry. J Agr Resour Econ 30 (3): 480-501.
Declerk F, 2003. Valuation of target firms acquired in the food sector during the 1996-2001 wave. Int Food Agribus Man 5: 1-16.
Declerk F, 2016. Mergers & acquisitions in the food business: How did the 2002 and 2009 economic crises impact corporate valuation? Int J Food Syst Dyn 7 (3): 183-195.
Delgado M, Porter M, Stern S, 2014. Clusters, convergence, and economic performance. Res Policy 43: 1785-1799. https://doi.org/10.1016/j.respol.2014.05.007
Dhawan R, 2001. Firm size and productivity differential: theory and evidence from a panel of US firms. J Econ Behav Organ 44 (3): 269-293. https://doi.org/10.1016/S0167-2681(00)00139-6
Dönbak E, Ukav I, 2016. Continuing value calculation with discounted cash flows method. J Hospit Tour Manage 4 (3): 139-145.
Elhorst JP, 2010. Applied spatial econometrics: raising the bar. Spat Econ Anal 5 (1): 9-28. https://doi.org/10.1080/17421770903541772
Florax R, Folmer H, 1992. Specification and estimation of spatial linear regression models: Monte Carlo evaluation of pre-test estimators. Reg Sci Urban Econ 22 (3): 405-432. https://doi.org/10.1016/0166-0462(92)90037-2
Holl A, 2013. Firm location and productivity in Spain. Investig Reg 25: 27-42.
INE, 2013. Statistical use 2013. Spanish National Institute of Statistics.
Jennergren LP, 2008. Continuing value in firm valuation by the discounted cash flow model. Eur J Oper Res 185: 1548-1563. https://doi.org/10.1016/j.ejor.2006.08.012
Kelejian H, Prucha R, 2010. Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances. J Econometrics 157 (1): 53-67. https://doi.org/10.1016/j.jeconom.2009.10.025
Läpple D, Kelley H, 2015. Spatial dependence in the adoption of organic drystock farming in Ireland. Eur Rev Agric Econ 42 (2): 315-337. https://doi.org/10.1093/erae/jbu024
Le Sage JP, Pace RK, 2010. Spatial econometric models. In: Handbook of applied spatial analysis, pp: 355-376. Springer-Verlag, Berlin. https://doi.org/10.1007/978-3-642-03647-7_18
NACE, 2007. Statistical classification of economic activities in the European Community (NACE). Eurostat, statistics explained.
Nguyen C, Sano K, Tran T, Doan T, 2012. Firm relocation patterns incorporating spatial interactions. Ann Regional Sci 50 (3): 685-703. https://doi.org/10.1007/s00168-012-0523-3
OJEU, 2003. Commission recommendation of 6 May 2003 concerning the definition of micro, small, and medium-sized enterprises. 2003/361/EC. Official Journal of the European Union, Ref. L124/36 dd. 20/05/03.
Porter ME, 1998. Cluster and the new economics of competition. Bus Econ 33 (1): 7-13.
PricewaterhouseCoopers S.L, 2013. La economía española en 2033. https://www.pwc.es/es/publicaciones/economia/assets/la-economia-espanola-en-2033-resumen-ejecutivo.pdf
Rallet A, Torre A, 2005. Proximity and localization. Reg Stud 39 (1): 47-59. https://doi.org/10.1080/0034340052000320842
Ribal J, Blasco A, Segura B, 2010. Estimation of valuation multiples of Spanish unlisted food companies. Span J Agric Res 8 (3): 547-558. https://doi.org/10.5424/sjar/2010083-1250
Rojo A, García Pérez de Lema D, 2005. Valuation of small and medium enterprises. Working Document AECA 7.
Rojo A, García Pérez de Lema D, 2006. Valuations of companies in Spain: An empirical application. Span J Financ Accoun 35 (132): 913-934.
Sales JM, 2002. La valoración de empresas asociativas agrarias: Una aplicación de la metodología analógico-bursátil. CIRIEC-España 41: 213-234.
Schmidt J, Keil T, 2013. What makes a resource valuable? Identifying the drivers of firm-idiosyncratic resource value. Acad Manage Rev 38 (2): 206-228. https://doi.org/10.5465/amr.2010.0404
Schmidtner E, Lippert C, Engler B, Häring A. M, Aurbacher J, Dabbert S, 2012. Spatial distribution of organic farming in Germany: does neighbourhood matter? Eur Rev Agric Econ 39 (4): 661-683. https://doi.org/10.1093/erae/jbr047
Targa F, Clifton K, Mahmassani H, 2006. Influence of transportation access on individual firm location decisions. Transport Res Rec 1977 (1): 179-189.
Vassalou M, Xing Y, 2004. Default risk in equity returns. J Financ 59: 831-868. https://doi.org/10.1111/j.1540-6261.2004.00650.x
Verginis CS, Taylor JS, 2004. Stakeholders' perceptions of the DCF method in hotel valua-tions. J Prop Manage 22 (5): 358-376.
Vidal F, Sales JM, López DB, 2004. Company valuation methods: Applying dynamic analogical-stock market valuation models to agrarian co-operatives. Span J Agric Res 2 (1): 17-25. https://doi.org/10.5424/sjar/2004021-56
Vydrzel K, Soukupová V, 2012. Empirical examination of valuation methods used in private equity practice in the Czech Republic. J Privat Equity 16 (1): 83-99.
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