Abstract
This chapter summarizes the empirical literature that uses a spatial analysis framework in production economics. This literature takes advantage of the spatial dimension of the data to capture the spillover effects of neighboring production units. In the first three sections, we outline standard spatial extensions of the neoclassical production models aiming to measure knowledge spillovers, the effect of network inputs, and economies of agglomeration. The next four sections outline the literature that on one hand examines returns to scale and productivity growth from both internal and external inputs, and on the other hand summarize the spatial econometric techniques used in frontier and non-frontier analyses of firms’ production. The last section includes a set of final remarks regarding the application of spatial econometric techniques in production analyses.
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Notes
- 1.
The “spatial lag” terminology used in spatial econometrics was originally introduced by Anselin [6].
- 2.
If real wages are proportional to labor productivity, this issue can be also examined using wage functions.
- 3.
The content of this section is highly inspired in Orea and Álvarez [97].
- 4.
This subsection is inspired in Kutlu [80].
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Acknowledgments
This chapter was supported by the Spanish Ministry of Economics, Industry and Competitiveness (Grant MINECO-18-ECO2017-85788-R). The authors would like to thank the two “Salvador de Madariaga” grants obtained from the Spanish Ministry of Science, Innovation and Universities (Grants PRX19/00596 and PRX19/00589). We also wish to acknowledge helpful suggestions from an anonymous reviewer.
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Orea, L., Álvarez, I.C. (2022). Production Economics in Spatial Analysis. In: Ray, S.C., Chambers, R.G., Kumbhakar, S.C. (eds) Handbook of Production Economics. Springer, Singapore. https://doi.org/10.1007/978-981-10-3455-8_35
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