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Spatial economic analysis
Routledge Taylor & Francis Group
Spatial economic analysis

Routledge Taylor & Francis Group

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1742-1772

Spatial economic analysis/Journal Spatial economic analysisSSCIISSHP
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    Spillovers and small spatial scale analyses: contributions from spatial economics

    Ugo FratesiMaria AbreuSteven Bond-SmithLuisa Corrado...
    1-7页
    查看更多>>摘要：This editorial introduces the seven papers included in this issue of Spatial Economic Analysis (SEA). The papers analyse two important topics in spatial economics. The first addresses the spillovers between units in space, specifically the phenomena through which different locations interact and the multiple channels through which these interactions take place. The second topic is related to the obtainment and processing of information at small spatial scales. The topics that are covered in the first theme are hence how distance influences venture capital (VC) investment decisions; the role of various proximities in innovation and regional knowledge production functions; the effects on local labour markets caused by what happens in other markets nearby; the use of different types of proximities and different distances at the same time in estimating spatial autoregressive model with autoregressive disturbances (SARAR) models. On the second topic the issue covers a new two-step technique to estimate small spatial scale synthetic data from microdata and aggregate statistics as an alternative to spatial microsimulation; the use of satellite data to estimate consumer confidence and expectations; and the use of disaggregated general equilibrium modelling based on the partial hypothetical extraction approach in input-output systems to estimate the effects of emergency aid.
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    Geographical distance, investment strategies and performance of venture capital: evidence from Chinese enterprises

    Jiaoe WangFengyuan LiuJianjun LiDelin Du...
    8-32页
    查看更多>>摘要：A growing body of evidence suggests that geographical distance plays an important role for venture capital (VC) investment. This study explores whether and how the geographical distance between the lead VC firms (VCFs) and the invested entrepreneurial firms (IEFs) influences the investment strategies of VCFs and their performance. The results show: (1) The geographical distance has a significant positive effect on the performance of VC investments. (2) As distance increases, lead VCFs will tend to be conservative on investments by improving project screening criteria and adopting syndication strategies and multiple-rounds of staged financing, which can dramatically improve the successful exit from the invested projects. This study has useful theory and policy implications for VCFs, entrepreneurial firms and local governments.
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    • NETL
    • NSTL
    • Taylor & Francis

    A longitudinal analysis of local innovation in Italy: How do proximity measures matter?

    Emma BrunoRosalia CastellanoGennaro Punzo
    33-52页
    查看更多>>摘要：This paper investigates the factors influencing local innovation from a longitudinal perspective while assessing geographical, economic and technological proximity. The research hypotheses concern spatial interactions, spillover effects and proximity measures that best fit innovation patterns and territorial interactions in Italy. The estimation strategy is the spatial Durbin panel model. The optimal specification to handle cross-sectional dependence in the data was derived from statistical tests evaluating (ⅰ) individual-specific effects, (ⅱ) time-specific effects and (ⅲ) both individual and time effects. The model was estimated using data from 107 Italian provinces over 2010-2019. The results show that both endogenous and exogenous interaction effects drive innovation processes and the underlying spillovers are global. Economic proximity explains local innovation patterns more effectively than geographical contiguity and technological proximity.
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    Spatial spillover effects in the labour market in a middle-income country

    Leonardo-Fabio MoralesMauricio QuinonesEleonora DavalosLuis-Felipe Gaviria...
    53-71页
    查看更多>>摘要：Most macroeconomic labour literature on estimating matching functions does not consider spatial spillover effects. However, job search and vacancy-filling processes often involve neighbouring locations, as local workers can search for and fill vacancies in nearby labour markets. We estimate a spatial spillover model using annual data for a middle-income country in Latin America. Our findings show that unemployment has a positive spatial spillover effect because an increase in the labour supply raises the probability of filling a vacancy. In contrast, vacancies have a negative spillover effect because local and neighbouring vacancies compete to be filled by workers in both markets.
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    Selection of spillover channels in spatial dynamic panel models using heterogeneous shrinkage on spatial parameters

    Yong BaoXiaoyan Zhou
    72-106页
    查看更多>>摘要：This paper proposes a Bayesian approach to estimating heterogeneous spatial dynamic panel models, subject to possible shrinkage on spatial dependence parameters. This amounts to heterogeneous selection of candidate spatial weight matrices that represent different spillover channels. The shrinkage methods include both the traditional and more flexible ones that allow the shrinkage strength to vary across spatial parameters. Monte Carlo results indicate that when the true model has a relatively low proportion of nonzero spatial parameters, flexible shrinkage in general leads to lower average root mean squared errors in estimating these parameters. An empirical study using this approach shows that there exists substantial heterogeneity in spillover channels across counties that determine the correlation patterns of county COVID-19 vaccination rates in four states in the United States.
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    Geographic disaggregation of household surveys. Modified estimators for correcting misclassification bias

    Alejandro Izaguirre
    107-127页
    查看更多>>摘要：We present a two-stage method to estimate spatial conditional means at a higher spatial resolution than the data actually have. In the first stage, we increase the spatial resolution of the data using classification tools and ancillary data. In the second stage, we estimate spatial conditional means (conditioning on the new spatial resolution). The estimation procedure in the second stage is not straightforward because the new finer spatial areas are subject to misclassification (measurement error). We prove that the least square (LS) estimators are biased under this framework and propose a consistent and asymptotically normal estimator under non-differential measurement errors. Given that the proposed estimator depends on unobservable terms, we also present its feasible version. Unlike most of the spatial downscaling methods, our proposal is non-model-based, and does not require area homogeneity assumptions. We assess analytical results by some Monte Carlo simulations, showing that our proposals work properly and outperform the spatial microsimulation approach. Finally, we conduct an empirical application where we analyse poverty and unemployment in one of the main urban agglomerates of Argentina known as Gran Rosario, we spatially disaggregate the original database to make inferences at a finer geographic scale.
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    Shedding light on consumer sentiments: evidence from India

    Debasis RoojAnurag BanerjeeReshmi SenguptaPrasad Pathak...
    128-146页
    查看更多>>摘要：This paper shows how location-based indicators can predict consumer confidence in India. We capture local economic activity using city-wise night-time luminosity (NTL) data. Using data on unit-level observations on consumer confidence from the Consumer Confidence Survey by the Reserve Bank of India from June 2016 to November 2021, we find that NTL is positively associated with consumer sentiments. Our results are robust to alternative definitions of consumer sentiments. Finally, we extend our study to analyse the role of NTL on several individual components of household sentiments, such as household perception and outlook on household income, spending, employment and general price levels. Overall, our results provide fascinating insights about using NTL as a measure of local economic indicators and its implications on households' sentiment indicators.
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    The role of emergency aid in mitigating the local effects of the COVID-19 pandemic: evidence from Espirito Santo, Brazil

    Luiz Carlos de Santana RibeiroGervasio Ferreira dos SantosRodrigo Barbosa de CerqueiraJose Firmino de Sousa Filho...
    147-167页
    查看更多>>摘要：This paper estimates the effects of the COVID-19 pandemic on the microplanning regions of Espírito Santo, Brazil, and evaluates how the public policy emergency aid (auxílio emergencial, Portuguese acronym) mitigates its effects. We use the hypothetical partial extraction method in an interregional input-output system. The main results reveal that emergency aid attenuated the impact of the pandemic in all microregions, particularly in the poorest ones. The main effects were observed in the service activities. The applied modelling is able to evaluate the effects of national public policy, considering the specificities of local economies.
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    • NSTL
    • Taylor & Francis