Spatial Patterns of Technology Diffusion: An Empirical Analysis Using TFP

Abreu,; Groot, H.L.F. de; Florax, Raymond J.G.M.; Vu, Vu; Bedrijfskunde, Faculteit der Economische Wetenschappen en

doi:10.2139/ssrn.564862

Cited by 18 publications

(12 citation statements)

References 48 publications

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“…For comparison, in Figure 2 we present the estimated values of TFP in 2013 in the case when we assume the same production function for all LADs -the assumption adopted by Abreu, de Groot and Florax (2004). As we can see, the general image of the spatial distribution of TFP in Polish LADs seems not to be significantly different from that shown in Figure 1.…”

Section: The Estimates Of Tfp In Polish Lads and Its Spatial Patternsmentioning

confidence: 88%

“…Similarly, to Abreu, de Groot and Florax (2004) we stress that the application of the original model of Nelson and Phelps (1966) to the regional domain requires allowing for spatial dependence and thus necessitates the use of spatial econometric modeling. We extend their version of the original model by allowing for the FDI and trade channel or foreign sources of TFP growth.…”

Section: Discussionmentioning

confidence: 99%

“…At the same time, local efforts seem to be necessary for successful technology adoption. Abreu, de Groot and Florax (2004) applied the augmented version of the Nelson--Phelps model to investigate the spatial distribution of TFP growth rates in a sample of 73 countries over the period . In the original model, Nelson and Phelps (1966) argued that education could positively affect the speed of adoption of new technologies.…”

Section: The Role Of Tfp and Its Determinants -Literature Reviewmentioning

confidence: 99%

“…we further augment the empirical specification of Abreu, de Groot and Florax (2004) by incorporating the collective impact of imports suggested by the literature of the subject on the growth of productivity. The extended model in the spatial lag version takes the following functional form:…”

Section: The Model Of Nelson and Phelps -Empirical Specificationmentioning

confidence: 99%

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Spatial Dependence Structure of Total Factor Productivity in Polish Local Administrative Districts

Ciołek

Brodzicki

2017

Folia Oeconomica

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The interaction between space (location) and the processes of accumulation (growth) is one of the most interesting and at the same time the most difficult areas of modern economic theory. The up till now empirical research on determinants of regional productivity in the case of Poland is however relatively scarce. Most studies focus on explaining the variation in regional income per capita mostly at NUTS–2 and NUTS–3 levels, and only a few take into account a highly spatially disaggregated NUTS–4 level. We aim to fill this important gap. The present article has several objectives. We try to explain the spatial patterns of productivity, to identify the spatial range of productivity spillovers empirically and to identify the determinants of the Total Factor Productivity (TFP) growth in Poland with the use of spatial econometric modeling and the extended version of the Nelson‑Phelps (1966) model. The study adopts an NUTS-4 level of local administrative districts (powiats) which we find superior on both theoretical (market closing) and empirical grounds (spatial modeling). TFP in Poland assumes the highest values in the metropolitan centers and spreads out on their nearest surroundings with the maximum value for Warsaw. The secondary local hills in TFP are located in cities or towns with county rights. TFP, in general, shows a downward trend as one moves from the west to the east with the lowest values observed in the south‑eastern part of Poland. The range of TFP spillover is found to be of roughly 175–200 km and is nonlinearly decreasing from the local productivity hills. Furthermore, the rate of growth of TFP shows spatial autocorrelation and is found to depend positively on the rate of increase in human capital endowment and on the gap from the leader under certain assumptions. We find no evidence of the channel through imports. However, the FDI channel is found to be robust and strong.

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Section: The Estimates Of Tfp In Polish Lads and Its Spatial Patternsmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Section: The Role Of Tfp and Its Determinants -Literature Reviewmentioning

confidence: 99%

Section: The Model Of Nelson and Phelps -Empirical Specificationmentioning

confidence: 99%

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Spatial Dependence Structure of Total Factor Productivity in Polish Local Administrative Districts

Ciołek

Brodzicki

2017

Folia Oeconomica

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“…From the above explanation, spatial relationships are clearly important to consider when studying the adoption and diffusion of irrigation technology; furthermore, multiple empirical studies of technology diffusion provide evidence of spatial effects in the diffusion process [19][20][21]. With this in mind, the growth of center pivot technologies in the HPWD area is analyzed using a set of spatial regression models.…”

Section: Spatial Relationships and Irrigation Adoptionmentioning

confidence: 99%

A Spatial Analysis of Irrigation Technology

Wright¹,

Hudson²,

Mutuc³

2013

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The nature of spatial spillovers in the adoption of irrigation technology is examined in this paper. Adopting a new technology is a decision that is based on economic and individual-specific factors. One of these individual factors might be communication with other users. It makes sense to expect that contact between users and non-users would follow a spatial pattern, and if knowledge spillovers are important to the adoption decision then resource managers need to be aware of their existence. Using counties in the Texas High Plains as the study area, the adoption of center pivot technology is examined using both Ordinary Least Squares and spatial regression models to determine if knowledge spillovers exist. Ultimately, no evidence was found that adoption practices in a county affects its neighbors; however, geographic location does matter to who adopts and when.

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The impact of regional absorptive capacity on spatial knowledge spillovers: the Cohen and Levinthal model revisited

Caragliu

Nijkamp²

2012

Applied Economics

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We design a conceptual framework for linking two approaches: absorptive capacity and spatial Knowledge Spillovers (KSs). Regions produce new knowledge, but only part of it is efficiently adopted in the economy; the share of efficiently adopted technology depends on cognitive capital. Our dataset is based on a panel of European regions over the period 1999 to 2006, combining data from EUROSTAT and the European Values Study (EVS). We test the hypothesis that insufficient levels of cognitive capital hamper the capability of regions to fully exploit new knowledge. Results show that a lower regional absorptive capacity increases KS towards surrounding areas, hampering the regions’ capability to decode and efficiently exploit new knowledge, both locally produced and originating from outside

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Spatial Patterns of Technology Diffusion: An Empirical Analysis Using TFP

Cited by 18 publications

References 48 publications

Spatial Dependence Structure of Total Factor Productivity in Polish Local Administrative Districts

Spatial Dependence Structure of Total Factor Productivity in Polish Local Administrative Districts

A Spatial Analysis of Irrigation Technology

The impact of regional absorptive capacity on spatial knowledge spillovers: the Cohen and Levinthal model revisited

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