Regression Models for Spatial Data: An Example from Gross Domestic Regional Bruto in Province Central Java

Abdul Karim(1*), Akhmad Faturohman(2), Suhartono Suhartono(3), Dedy Dwi Prastyo(4), Budi Manfaat(5)

(1) Dept. of Statistics, Muhammadiyah University of Semarang
(2) Dept. of Statistics, Muhammadiyah University of Semarang
(3) Dept. of Statistics, Institut Teknologi Sepuluh Nopember
(4) Dept. of Statistics, Institut Teknologi Sepuluh Nopember
(5) Dept. of Mathematics, IAIN Syekh Nurjati Cirebon
(*) Corresponding Author

Abstract

The important role of a region's transportation infrastructure strongly affects the economic growth of the region and tends to affect the surrounding areas. The effect is called spillover effect. The aim of the research was to recognize the direct effect and spillover effect (indirect) of transportation infrastructure on the economic growth in Central Java. To identify the spillover effects, it is necessary to recognize the different characteristics of each region which have the implications on the various transportation infrastructures at each region in Central Java. Therefore, the spatial modeling was conducted. In this study, the spatial modeling employed was Spatial Durbin Error Model (SDEM). The SDEM is another form of Spatial Error Model (SEM). It does not allow for lag effects of endogenous variables, but it allows for spatial error and spatial lag on exogenous variables in which it simplifies the interpretations on direct effects and spillover effect. According to SDEM estimates, the transportation infrastructures at the districts/municipalities in Central Java had no significant effect on the outputs at each region where the infrastructures were located and their neighboring districts/cities

Keywords

Spatial Durbin Error Model; Spatial Error Model; Spatial Econometrics; Transportation Infrastructure; Growth Economics

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References

Anselin, L. (2001), Spatial econometrics. In: Baltagi, BH (ed) A companion totheoretical econometrics, Blackwell, Malden, MA.

Arbués, P., Baños, J. F., & Mayor, M. (2015). The spatial productivity of transportation infrastructure. Transportation Research Part A: Policy and Practice, 75, 166–177. http://doi.org/10.1016/j.tra.2015.03.010

Banerjee, A., Duflo, E., & Qian, N. (2012). On the Road: Access to Transportation Infrastructure and Economic Growth in China. Cambridge, MA. Retrieved from http://www.nber.org/papers/w17897.pdf

Cantos, P., Gumbau‐Albert, M., & Maudos, J. (2005). Transport infrastructures, spillover effects and regional growth: evidence of the Spanish case. Transport Reviews, 25(1), 25–50. http://doi.org/10.1080/014416410001676852

Casela, Fenberg dan Olkin. (2009). A Modern Approach to Regression with R. Springer. New York, USA.

Ciccarelli, C., & Fachin, S. (2016). Regional growth with spatial dependence: A case study on early Italian industrialization. Papers in Regional Science. http://doi.org/10.1111/pirs.12217

Faraway, J. J. (n.d.). Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models.

Griffith, D. A., Griffith, & A., D. (2017). Spatial Weights. In International Encyclopedia of Geography: People, the Earth, Environment and Technology (pp. 1–7). Oxford, UK: John Wiley & Sons, Ltd. http://doi.org/10.1002/9781118786352.wbieg0200

Ho, C. Q., & Hensher, D. A. (2016). A workplace choice model accounting for spatial competition and agglomeration effects. Journal of Transport Geography, 51, 193–203. http://doi.org/10.1016/j.jtrangeo.2016.01.005

Huggins, R., & Thompson, P. (2017). Networks and regional economic growth: A spatial analysis of knowledge ties. Environment and Planning A, 49(6), 1247–1265. http://doi.org/10.1177/0308518X17692327

Karim, A., & Wasono, R. (2017). Modeling of Rice Production in Central Java Using Spatial Panel. Advanced Science Letters, 23(7), 6530-6532.

Lacombe, D. J., & McIntyre, S. G. (2016). Local and global spatial effects in hierarchical models. Applied Economics Letters, 23(16), 1168–1172. http://doi.org/10.1080/13504851.2016.1142645

LeSage J & Pace RK, (2008), Introduction to spatial econometrics, CRC Press, Boca Raton, London and New York, NY

Li, J., Wen, J., & Jiang, B. (2017). Spatial Spillover Effects of Transport Infrastructure in Chinese New Silk Road Economic Belt. International Journal of E-Navigation and Maritime Economy, 6, 1–8. http://doi.org/10.1016/j.enavi.2017.05.001

Marquez, M. A., Ramajo, J., & Hewings, G. J. D. (2010). A spatio-temporal econometric model of regional growth in Spain. Journal of Geographical Systems, 12(2), 207–226. http://doi.org/10.1007/s10109-010-0119-3

Setiawan dan Dwi Endah Kusrini, (2010), Ekonometrika, Andi, Yogyakarta

Statistik, B. P. (2015). Jawa Tengah dalam angka Tahun 2015. BPS, Jawa Tengah.

Statistik, B. P. (2016). Jawa Tengah dalam angka Tahun 2016. BPS, Jawa Tengah.

World Economic Forum. (2016). Competitiveness Global Report 2016-2017. World Economic Forum

DOI: 10.23917/jep.v18i2.4660

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