IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa10p1052.html
   My bibliography  Save this paper

Neighborhood and Efficiency in Manufacturing in Brazilian Regions: a Spatial Markov Chain Analysis

Author

Listed:
  • Daniela Schettini
  • Carlos Roberto Azzoni
  • Antonio Páez

Abstract

More competitive regions tend to present higher level of economic growth, with positive reflexes on social aspects. The different economic performances observed among regions are explained mainly by the spatial concentration of the economic activities. This paper aims to analyze the influence of space on the regional competitiveness behavior of the Brazilian manufacturing industry. In doing so, it uses a panel data of 137 mesoregions and industry sectors that are aggregated in four categories according to technology intensity, during 2000 to 2006. We apply the stochastic frontier of production methodology to obtain the measures of regional efficiency and the Markov spatial transition matrixes that analyze the dynamic of the transition of the regions among efficiency categories considering their local spatial context. We found evidences that there is a higher probability of the regions to become less competitive when the neighborhood is not considered. On the other hand, when considering spatial influences, we observed that the probability of a good neighborhood (more competitive) in stimulating the region's efficiency is higher than the probability of a bad neighborhood (less competitive) in lowering its efficiency. In other words, the pull effect of the neighborhood in the competitiveness of the Brazilian regions is stronger than the drag effect.

Suggested Citation

  • Daniela Schettini & Carlos Roberto Azzoni & Antonio Páez, 2011. "Neighborhood and Efficiency in Manufacturing in Brazilian Regions: a Spatial Markov Chain Analysis," ERSA conference papers ersa10p1052, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa10p1052
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa10/ERSA2010finalpaper1052.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ben Gardiner & Ron Martin & Tyler Peter, 2004. "Competitiveness, Productivity and Economic Growth across the European Regions," ERSA conference papers ersa04p333, European Regional Science Association.
    2. Baldwin, Richard E. & Martin, Philippe, 2004. "Agglomeration and regional growth," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 60, pages 2671-2711, Elsevier.
    3. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    4. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    5. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    6. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Massimiliano Agovino & Alessandro Crociata & Pier Sacco, 2016. "Location matters for pro-environmental behavior: a spatial Markov Chains approach to proximity effects in differentiated waste collection," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 295-315, January.
    2. M. Agovino, 2014. "Do “good neighbors” enhance regional performances in including disabled people in the labor market? A spatial Markov chain approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 93-121, August.
    3. Massimiliano Agovino & Massimiliano Cerciello & Aniello Ferraro & Antonio Garofalo, 2022. "A Regional Perspective on Social Exclusion in European Regions: Context, Trends and Policy Implications," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(2), pages 409-433, July.
    4. Haddad, Eduardo & Mena-Chalco, Jesús & Sidone, Otávio, 2015. "Scholarly Collaboration in Regional Science in Developing Countries: The Case of the Brazilian REAL Network," TD NEREUS 4-2015, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    5. Sergio J. Rey & Wei Kang & Levi Wolf, 2016. "The properties of tests for spatial effects in discrete Markov chain models of regional income distribution dynamics," Journal of Geographical Systems, Springer, vol. 18(4), pages 377-398, October.
    6. Sergio Rey, 2014. "Rank-based Markov chains for regional income distribution dynamics," Journal of Geographical Systems, Springer, vol. 16(2), pages 115-137, April.
    7. Agovino, Massimiliano & Crociata, Alessandro & Sacco, Pier Luigi, 2019. "Proximity effects in obesity rates in the US: A Spatial Markov Chains approach," Social Science & Medicine, Elsevier, vol. 220(C), pages 301-311.
    8. Eduardo A. Haddad & Jesús P. Mena-Chalco & Otávio J. G. Sidone, 2017. "Scholarly Collaboration in Regional Science in Developing Countries," International Regional Science Review, , vol. 40(5), pages 500-529, September.
    9. Massimiliano Agovino, 2014. "Is there convergence in the performance of Italian regions in including disabled people in the labour market? A local Moran approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(1), pages 103-120, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniela Schettini & Carlos R. Azzoni & Antonio Paez, 2011. "Neighborhood and Efficiency in Manufacturing in Brazilian Regions," International Regional Science Review, , vol. 34(4), pages 397-418, October.
    2. Kexin Li & Jianxu Liu & Yuting Xue & Sanzidur Rahman & Songsak Sriboonchitta, 2022. "Consequences of Ignoring Dependent Error Components and Heterogeneity in a Stochastic Frontier Model: An Application to Rice Producers in Northern Thailand," Agriculture, MDPI, vol. 12(8), pages 1-17, July.
    3. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    4. Madau, Fabio A., 2005. "Technical Efficiency in Organic Farming: An Application on Italian Cereal Farms Using a Parametric Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24545, European Association of Agricultural Economists.
    5. Hai-Dang Nguyen & Thanh Ngo & Tu DQ Le & Huong Ho & Hai T.H. Nguyen, 2019. "The Role of Knowledge in Sustainable Agriculture: Evidence from Rice Farms’ Technical Efficiency in Hanoi, Vietnam," Sustainability, MDPI, vol. 11(9), pages 1-10, April.
    6. Raghbendra Jha & Hari K. Nagarajan & Subbarayan Prasanna, 2005. "Land Fragmentation and its Implications for Productivity: Evidence from Southern India," ASARC Working Papers 2005-01, The Australian National University, Australia South Asia Research Centre.
    7. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
    8. B.C. Okoye & A. Abass & B. Bachwenkizi & G. Asumugha & B. Alenkhe & R. Ranaivoson & R. Randrianarivelo & N. Rabemanantsoa & I. Ralimanana, 2016. "Differentials in technical efficiency among smallholder cassava farmers in Central Madagascar: A Cobb Douglas stochastic frontier production approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1143345-114, December.
    9. Maria Francesca Cracolici & Peter Nijkamp & Piet Rietveld, 2008. "Assessment of Tourism Competitiveness by Analysing Destination Efficiency," Tourism Economics, , vol. 14(2), pages 325-342, June.
    10. Zuniga-Gonzalez, C.A, 2009. "Analisis de la eficiencia tecnica de la unidad de VPN UNAN-LEON utilizando funcion de produccion stochastic frontier, 2007-2008 [Technical efficiency analysis of the PNV unit UNAN-Leon using produc," MPRA Paper 110950, University Library of Munich, Germany, revised 14 Jan 2009.
    11. repec:onb:oenbwp:y::i:96:b:1 is not listed on IDEAS
    12. Jianxu Liu & Sanzidur Rahman & Songsak Sriboonchitta & Aree Wiboonpongse, 2017. "Enhancing Productivity and Resource Conservation by Eliminating Inefficiency of Thai Rice Farmers: A Zero Inefficiency Stochastic Frontier Approach," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    13. Yang Li & Shin-Yi Chen, 2010. "The Impact of FDI on the Productivity of Chinese Economic Regions," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 17(3), pages 299-312.
    14. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    15. Blazek, David & Sickles, Robin C., 2010. "The impact of knowledge accumulation and geographical spillovers on productivity and efficiency: The case of U. S. shipbuilding during WWII," Economic Modelling, Elsevier, vol. 27(6), pages 1484-1497, November.
    16. Sandunika Jayakody & Sajitha Dishanka, 2020. "An Estimation of Technical Efficiency of Tea Smallholdings in Ratnapura District of Sri Lanka," Journal of Social and Development Sciences, AMH International, vol. 10(4), pages 1-11.
    17. Jean-François Brun & Constantin Thierry Compaore, 2021. "Public Expenditures Efficiency On Education Distribution in Developing Countries," Working Papers hal-03116615, HAL.
    18. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    19. Gauri Khanna, 2006. "Technical Efficiency in Production and Resource Use in Sugar Cane: A Stochastic Frontier Production Function Analysis," IHEID Working Papers 15-2006, Economics Section, The Graduate Institute of International Studies.
    20. Musleh-ud Din & Ejaz Ghani & Tariq Mahmood, 2007. "Technical Efficiency of Pakistan s Manufacturing Sector: A Stochastic Frontier and Data Envelopment Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(1), pages 1-18.
    21. Quaranta, Anna Grazia & Raffoni, Anna & Visani, Franco, 2018. "A multidimensional approach to measuring bank branch efficiency," European Journal of Operational Research, Elsevier, vol. 266(2), pages 746-760.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa10p1052. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.