Time-Varying Network Connectedness Between the Organizational Ecology of Transportation and Storage Firms and Macroeconomic Variables

• Autorzy: Murathan Tuncer , Nesrin Akbulut , Miraç Savaş Turhan , Yakup Ari
• Języki publikacji: EN

Abstrakty

EN

Research background: Environmental factors are not adequately addressed in organizational ecology studies. At the same time, it is known that the theory has not received enough attention except for North America, which is the emerging point. Purpose: We aim to examine macroeconomic connectedness between the organizational ecology of transportation and storage firms and macroeconomic variables such as price and production indexes. Research methodology: This paper discusses the relation among the following variables within the framework of macroeconomic connectedness via organizational ecology theory. The variables are FOUNDINGS, DISBANDINGS, TRNSP-CPI, PPI IPI and ENERGY. We use the TVP-VAR based Diebold-Yılmaz Connectedness approach in the analysis of the data. Results: DISBANDING is the net transmitter throughout the entire period. FOUNDING is mainly a net shock receiver during the COVID-19 period and transmitter in other periods. TRANS-CPI and PPI are risk receivers throughout the entire period, and even the shocks they transmit increased in the post-2018 period. ENERGY and IPI are in shock receiver status throughout the entire period. The received shocks of IPI from others have decreased with the effect of the lockdown experienced during the COVID-19 period. Novelty: The investors can hedge against risk by looking at industry production capacity and the number of firm closures, considering the net bilateral link between the indices, and calculating the appropriate time period for establishing a firm. Connectedness indices vary considerably over the sampling period, which indicates that investors must dynamically adjust their position in the industry. (original abstract)

Słowa kluczowe

EN

Transport; Storage; Ecology; Macroeconomic variables

PL

Transport; Magazynowanie; Ekologia; Zmienne makroekonomiczne

• Czasopismo: Folia Oeconomica Stetinensia
• Rocznik: 2022
• Numer: vol. 22, iss. 2
• Strony: 209--223

Twórcy

autor

Murathan Tuncer

• Alanya Alaaddin Keykubat University, Turkey

autor

Nesrin Akbulut

• Alanya Alaaddin Keykubat University, Turkey

autor

Miraç Savaş Turhan

• Alanya Alaaddin Keykubat University, Turkey

autor

Yakup Ari

• Alanya Alaaddin Keykubat University, Turkey

Bibliografia

• Antonakakis, N., Gabauer, D., Gupta, R., Plakandaras, V. (2018). Dynamic connectedness of uncertainty across developed economies: A time-varying approach. Economics Letters, 166, 63-75. DOI: 10.1016/j.econlet.2018.02.011.
• Antonakakis, N., Chatziantoniou, I., Gabauer, D. (2020). Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions. Journal of Risk and Financial Management, 13(4), 84. DOI: 10.3390/jrfm13040084.
• Baum, J. (ed.) (1999). Organizational ecology. SAGE Publications Ltd. DOI: 10.4135/9781446218556.
• Baum, J.A., Amburgey, T.L. (2002). Organizational ecology. In: J.A.C. Baum (ed.), The Blackwell Companion to Organizations (pp. 304-326). Blackwell.
• Baum, J.A.C., Shipilov, A.V. (2006). Ecological Approaches to Organizations. Sage Handbook for Organization Studies (pp. 55-110). Retrieved from https://ssrn.com/abstract=1017085.
• Carroll, G.R. (1984). Organizational ecology. Annual Review of Sociology, 10 (1), 71-93. DOI: 10.1146/annurev.so.10.080184.000443.
• Diebold, F.X., Yilmaz, K. (2009). Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets. Economic Journal, 119, 158-171. DOI: 10.1111/j.1468-0297.2008.02208.x.
• Diebold, F.X., Yilmaz, K. (2012). Better to Give than to Receive: Predictive Measurement of Volatility Spillovers. International Journal of Forecasting, 28, 57-66. doi.org/10.1016/j.ijforecast.2011.02.006
• Diebold, F.X., Yilmaz, K. (2014). On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms. Journal of Econometrics, 182, 119-134. DOI: 10.1016/j.jeconom.2014.04.012.
• Downie, C. (2022). Competition, cooperation, and adaptation: The organizational ecology of international organizations in global energy governance. Review of International Studies, 48(2), 364-384. DOI: 10.1017/S0260210521000267.
• Elmas, B., Özkan, T. (2021), Ulaştırma ve depolama sektörü işletmelerinin finansal performanslarının SWARA-OCRA Modeli ile değerlendirilmesi. İşletme Akademisi Dergisi, 2 (3), 240-253. DOI: 10.26677/TR1010.2021.851.
• Hannan, M.T., Freeman, J. (1977). The population ecology of organizations. American Journal of Sociology, 82 (5), 929-964. DOI: 10.1086/226424.
• Hannan, M.T., Freeman, J. (1984). Structural inertia and organizational change. American Sociological Review, 49 (2), 149-164. DOI: 10.2307/2095567.
• Hannan, M.T., Freeman, J. (1987). The ecology of organizational founding: American labor unions, 1836-1985. American Journal of Sociology, 92 (4), 910-943. DOI: 10.1086/228587.
• Hannan, M.T., Freeman, J. (1989). Organizational ecology. Harvard university press.
• Khandwalla, P.N. (1972). Environment and its impact on the organization. International Studies of Management & Organization, 2 (3), 297-313. DOI: 10.1080/00208825.1972.11656125.
• Koop, G., Korobilis, D. (2014). A new index of financial conditions. European Economic Review, 71, 101-116. DOI: 10.1016/j.euroecorev.2014.07.002.
• Korobilis, D., Yilmaz, K. (2018). Measuring Dynamic Connectedness with Large Bayesian VAR Models. Koc University-TUSIAD Economic Research Forum, Working Paper No. 1802, January. DOI: 10.2139/ssrn.3099725.
• Lake, D.A. (2021). The organizational ecology of global governance. European Journal of International Relations, 27 (2), 345-368. DOI: 10.1177/1354066120959407.
• Mata, J., Portugal, P. (1994). Life duration of new firms. The Journal of Industrial Economics, 42 (3), 227-245. DOI: 10.2307/2950567.
• Michael, S.C., Kim, S.M. (2005). The organizational ecology of retailing: A historical perspective. Journal of Retailing, 81 (2), 113-123. DOI: 10.1016/j.jretai.2005.03.005.
• Morin, J.F. (2020). Concentration despite competition: The organizational ecology of technical assistance providers. The Review of International Organizations, 15 (1), 75-107. DOI: 10.1007/s11558-018-9322-7.
• Olvera, J., Sutton, S.A. (2021). An organizational ecology approach to new food marts in New York City neighbourhoods. International Journal of Urban Sciences, 25 (2), 252-271. DOI: 10.1080/12265934.2020.1804988.
• Önder, Ç., Üsdiken, B. (2007). Örgütsel Ekoloji: Örgüt Topluluklari ve Çevresel Ayiklama. Örgüt Kuramlari (133-192). S. Sargut, S.ve Özen (ed.). Ankara: Imge Yayinevi.
• Turhan, M.S. (2021). Sosyal bilimlerde evrimci yaklaşımların örgüt kuramlarındaki yansıması: Örgütsel popülasyon ekolojisi kuramı. In: Ş. Karabulut (ed.), Pazarlama ve organizasyon perspektifinden kuramlar ve tartışmalar (pp. 253-268). Ankara: Gazi Kitabevi.
• Turhan, M.S., Ari, Y. (2021). Organizational foundings, disbandings, and the COVID-19 pandemic: Evidence from the Turkish construction sector. Ekonomski Vjesnik, 34 (2), 337-350. DOI: 10.51600/ev.34.2.7.
• Wholey, D.R., Brittain, J.W. (1986). Organizational ecology: Findings and implications. Academy of Management Review, 11 (3), 513-533. DOI: 10.5465/amr.1986.57140723.
• Yeloğlu, O. (2017). Örgütsel ekoloji. In: H.C. Sözen, H.N. Basım (eds.), Örgüt kuramları (pp. 205-235). İstanbul: Beta Basım Yayın.
• Yurdakul, E.M. (2020), Türkiye'de lojistik sektörü ve ekonomik büyüme arasindaki ilişkinin VAR analizi ile incelenmesi. Sosyal Ekonomik Araştırmalar Dergisi, 20 (40), 174-185. DOI: 10.30976/susead.707425.
• UTİKAD (2021). UTİKAD Lojistik Sektörü Raporu 2020. Retrieved from https://www.utikad.org.tr/Rapor.

Identyfikatory

DOI

10.2478/foli-2022-0027