Zurita, Roberto and Morales-Oñate, Víctor (2023): Spillover Effects of Public Capital Stock: A Case Study for Ecuador.
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Abstract
This research examines the spatial spillovers of public capital on gross value added across 216 cantons in continental Ecuador. The investigation is conducted within the framework of Spatial Econometrics, utilizing various model specifications and spatial weight matrices, complemented by a Cobb Douglas-type model that incorporates spatial dependence. The findings highlight a positive spatial impact of the public capital stock, with approximately 30\% of the overall effect attributed to the indirect component. This underscores the importance of considering spatial structure when assessing the effects of capital on gross value added. Consequently, the study extends its exploration to derive column and row effects, aimed at identifying the most influential cantons within the neighborhoods established by the spatial structure.
Item Type: | MPRA Paper |
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Original Title: | Spillover Effects of Public Capital Stock: A Case Study for Ecuador |
English Title: | Spillover Effects of Public Capital Stock: A Case Study for Ecuador |
Language: | English |
Keywords: | Public Capital, Spatial Effects, Factors of Production, Spatial Econometrics, Developing Countries |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General C - Mathematical and Quantitative Methods > C5 - Econometric Modeling D - Microeconomics > D2 - Production and Organizations > D24 - Production ; Cost ; Capital ; Capital, Total Factor, and Multifactor Productivity ; Capacity |
Item ID: | 119152 |
Depositing User: | Victor Morales-Oñate |
Date Deposited: | 15 Nov 2023 14:56 |
Last Modified: | 15 Nov 2023 14:56 |
References: | Anselin L, Rey S (1991) Properties of tests for spatial dependence in linear regression models. Geographical analysis 23[2]: 112–131. https://doi.org/10.1111/j.1538-4632.1991.tb00228.x. Aschauer DA (1989) Is public expenditure productive? Journal of monetary economics 23[2]: 177–200. https://doi.org/10.1016/0304-3932(89)90047-0. Berndt ER, Hansson B (1992) Measuring the contribution of public infrastructure capital in sweden. The Scandinavian Journal of Economics 94: 151–168. https://doi.org/10.2307/3440255. Blades D, Meyer-zu Schlochtern J (1997) How should capital be represented in studies of total factor productivity. In: Canberra Group on Capital Stock Statistics. OECD Bom PR, Ligthart JE (2014) What have we learned from three decades of research on the productivity of public capital? Journal of economic surveys 28[5]: 889–916. https://doi.org/10.1111/joes.12037. Briones Bendoza XF, Molero Oliva LE, Zamora OX (2018) The production function cobb-douglas in ecuador. Tendencias 19[2]: 45–73. https://doi.org/10.22267/rtend.181902.97. Dall’erba S, Llamosas-Rosas I (2015) The impact of private, public and human capital on the us states economies: theory, extensions and evidence. Handbook of research methods and applications in economic geography: 436–467. https://doi.org/10.4337/9780857932679.00029. Elhorst JP (2010) Applied spatial econometrics: raising the bar. Spatial economic analysis 5[1]: 9–28. https://doi.org/10.1080/17421770903541772. Elhorst P, Vega SH (2013) On spatial econometric models, spillover effects, and w. Palermo, Italy. European Regional Science Association (ERSA): Louvain-la-Neuve: European Regional Science Association (ERSA) Florax R, Folmer H (1992) Specification and estimation of spatial linear regression models: Monte carlo evaluation of pre-test estimators. Regional science and urban economics 22[3]: 405–432. https://doi.org/10.1016/0166-0462(92)90037-2. Foster V, Gorgulu N, Straub S, Vagliasindi M (2023) The impact of infrastructure on development outcomes: A qualitative review of four decades of literature. Policy Research Working Papers (10343) Golgher AB, Voss PR (2016) How to interpret the coefficients of spatial models: Spillovers, direct and indirect effects. Spatial Demography 4: 175–205. https://doi.org/10.1007/s40980-015-0016-y. Guevara-Rosero GC, Riou S, Autant-Bernard C (2019) Agglomeration externalities in ecuador: do urbanization and tertiarization matter? Regional Studies 53[5]: 706–719. https://doi.org/10.1080/00343404.2018.1470325. Han J, Ryu D, Sickles R (2016) How to measure spillover effects of public capital stock: a spatial autoregressive stochastic frontier model. In: Spatial econometrics: Qualitative and limited dependent variables, Volume 37. Emerald Group Publishing Limited, 259–294. https://doi.org/10.1108/S0731-905320160000037017. LeSage J, Pace R (2009). Introduction to spatial econometrics: Chapman & hall/crc LeSage JP, Fischer MM (2008) Spatial growth regressions: model specification, estimation and interpretation. Spatial Economic Analysis 3[3]: 275–304. https://doi.org/10.1080/17421770802353758. López-Bazo E, Vaya E, Mora AJ, Suri˜nach J (1999) Regional economic dynamics and convergence in the european union. The Annals of Regional Science 33[3]: 343–370. https://doi.org/10.1007/s001680050109. Marrocu E, Paci R (2010) The effects of public capital on the productivity of the italian regions. Applied Economics 42[8]: 989–1002. https://doi.org/10.1080/00036840701721083. Mera K (1973) Ii. regional production functions and social overhead capital: An analysis of the japanese case. Regional and Urban Economics 3[2]: 157–185. https://doi.org/10.1016/0034-3331(73)90024-9. Moreno Loza JL (2017) Incidencia del aumento sostenido del gasto p´ublico sobre el pib en ecuador: multiplicador fiscal para el per´ıodo 2000–2015. B.S. thesis, PUCE Munoz RM, Pontarollo N (2016) Cantonal convergence in ecuador: A spatial econometric perspective. Journal of Applied Economic Sciences 11[1]: 39 Ram R (1996) Productivity of public and private investment in developing countries: A broad international perspective. World Development 24[8]: 1373–1378. https://doi.org/10.1016/0305-750X(96)00036-8. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/119152 |