Spatial autocorrelation in indicators related to Portuguese agriculture: Data from the Agricultural Census

Vítor João Pereira Domingues Martinho

doi:10.59072/rper.vi73.761

Autores

Vítor João Pereira Domingues Martinho Polytechnic Institute of Viseu

DOI:

https://doi.org/10.59072/rper.vi73.761

Palavras-chave:

Portuguese municipalities, Cobb-Douglas function, Cross-section methodologies

Resumo

Os efeitos espaciais existem e têm o seu impacto em análises que envolvem países, regiões ou municípios. No entanto, estes efeitos são, em certas circunstâncias, ignorados nestas avaliações, o que pode trazer problemas de robustez nos resultados e conclusões obtidos. Por outro lado, a consideração destes efeitos espaciais pode acrescentar valor para as análises que envolvam diversas localizações. Esta abordagem, pode, nomeadamente, apoiar uma melhor conceção de estratégias e políticas comuns para lidar com enquadramentos que envolvam diferentes unidades espaciais. Nesta perspetiva, esta investigação tem como objetivo analisar o contexto atual da agricultura Portuguesa e identificar efeitos de autocorrelação espacial em indicadores agrícolas nos municípios (freguesias) de Portugal Continental, considerando os dados do Recenseamento Agrícola de 2019. Estes indicadores foram relacionados através de metodologias cross-section, com base na função de produção Cobb-Douglas. Os resultados obtidos evidenciam indícios relevantes de autocorrelação espacial em diferentes zonas de Portugal Continental e o impacto de alguns fatores de produção nos níveis de output agrícola obtidos.

Referências

Ackrill, R. W., Hine, R. C., Rayner, A. J., & Suardi, M. (1997). Member states and the preferential trade and budget effects of the 1992 cap reform: A note. Journal of Agricultural Economics, 48(1), 93–100. Scopus. https://doi.org/10.1111/j.1477-9552.1997.tb01134.x

Anselin, L. (1995). Local Indicators of Spatial Association—LISA. Geographical Analysis, 27(2), 93–115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x

Anselin, L., Syabri, I., & Kho, Y. (2006). GeoDa: An Introduction to Spatial Data Analysis. Geographical Analysis, 38(1), 5–22. https://doi.org/10.1111/j.0016-7363.2005.00671.x

Barbosa, B., Silva, M., Capinha, C., Garcia, R. A. C., & Rocha, J. (2022). Spatial correlates of COVID-19 first wave across continental Portugal. Geospatial Health, 17. https://doi.org/10.4081/GH.2022.1073

Barrios, S., Bertinelli, L., Strobl, E., & Teixeira, A. C. (2009). Spatial distribution of manufacturing activity and its determinants: A comparison of three small european countries. Regional Studies, 43(5), 721–738. https://doi.org/10.1080/00343400801922822

Cheng, J., Wang, Q., Zhang, H., Matsubara, T., Yoshikawa, N., & Yu, J. (2022). Does Farm Size Expansion Improve the Agricultural Environment? Evidence from Apple Farmers in China. Agriculture, 12(11), Article 11. https://doi.org/10.3390/agriculture12111800

Cobb, C. W., & Douglas, P. H. (1928). A Theory of Production. The American Economic Review, 18(1), 139–165.

Dinis, I. (2023). Exploring the Drivers of Microregional Agricultural Labor Productivity: Empirical Insights from Portugal. Agriculture, 13(11), Article 11. https://doi.org/10.3390/agriculture13112150

Direção-Geral do Território. (2025). dados.gov.pt—Portal de dados abertos da Administração Pública. https://dados.gov.pt/pt/

Encarnação, C., Medinas, D., Alves, P. C., & Mira, A. (2019). Does short-term habitat management for the european rabbit (oryctolagus cuniculus) have lasting effects? Australian Journal of Politics and History, 65(1), 296–308. https://doi.org/10.1111/1440-1703.1064

Espinosa, L. A., & Portela, M. M. (2025). Red-Hot Portugal: Mapping the Increasing Severity of Exceptional Maximum Temperature Events (1980–2024). Atmosphere, 16(5). Scopus. https://doi.org/10.3390/atmos16050514

Fernandes, M. R., Aguiar, F. C., & Ferreira, M. T. (2011). Assessing riparian vegetation structure and the influence of land use using landscape metrics and geostatistical tools. Landscape and Urban Planning, 99(2), 166–177. https://doi.org/10.1016/j.landurbplan.2010.11.001

Florax, R. J. G. M., Folmer, H., & Rey, S. J. (2003). Specification searches in spatial econometrics: The relevance of Hendry’s methodology. Regional Science and Urban Economics, 33(5), 557–579. https://doi.org/10.1016/S0166-0462(03)00002-4

Fragoso Januário, J., Costa, Á., Oliveira Cruz, C., Miranda Sarmento, J., & Faria e Sousa, V. (2021). Transport infrastructure, accessibility, and spillover effects: An empirical analysis of the Portuguese real estate market from 2000 to 2018. Research in Transportation Economics, 90. https://doi.org/10.1016/j.retrec.2021.101130

Freiria, S., & Sousa, N. (2024). The impact of accessibility changes on local development: A spatial approach. Journal of Transport Geography, 120. https://doi.org/10.1016/j.jtrangeo.2024.103975

Grekousis, G. (2018). Further widening or bridging the gap? A cross-regional study of unemployment across the EU Amid Economic crisis. Sustainability (Switzerland), 10(6). https://doi.org/10.3390/su10061702

Hu, Y., Li, B., Zhang, Z., & Wang, J. (2022). Farm size and agricultural technology progress: Evidence from China. Journal of Rural Studies, 93, 417–429. https://doi.org/10.1016/j.jrurstud.2019.01.009

Imran, M., Hayat, N., Saeed, M. A., Sattar, A., & Wahab, S. (2023). Spatial green growth in China: Exploring the positive role of investment in the treatment of industrial pollution. Environmental Science and Pollution Research, 30(4), 10272–10285. https://doi.org/10.1007/s11356-022-22851-x

Lowder, S. K., Bhalla, G., & Davis, B. (2025). Decreasing farm sizes and the viability of smallholder farmers: Implications for resilient and inclusive rural transformation. Global Food Security, 45, 100854. https://doi.org/10.1016/j.gfs.2025.100854

Martinho, V. D., Sánchez-Carreira, M. D. C., & Reis Mourão, P. (2021). Transnational economic clusters: The case of the Iberian Peninsula. Regional Science Policy and Practice, 13(5), 1442–1459. https://doi.org/10.1111/rsp3.12346

Martinho, V. J. P. D. (2017). Insights from over 30 years of common agricultural policy in Portugal. Outlook on Agriculture, 46(3), 223–229. Scopus. https://doi.org/10.1177/0030727017729896

Martinho, V. J. P. D., & Barandela, J. S. (2021). The North of Portugal and Galicia: Evidence of Agglomeration of Economic Activity. Revista Portuguesa de Estudos Regionais, 58, 118–134.

Melchor-Ferrer, E. (2020). Determinants of labour productivity growth in Spanish and Portuguese regions: A spatial shift-share approach. Annals of Regional Science, 65(1), 45–65. https://doi.org/10.1007/s00168-019-00973-4

Moran, P. A. P. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1/2), 17–23. https://doi.org/10.2307/2332142

Mourao, P., & Bento, R. (2021). Explaining covid-19 contagion in portuguese municipalities using spatial autocorrelation models. Revista Galega de Economia, 30(1). https://doi.org/10.15304/rge.30.1.6984

Pereira, M. F., Vale, D. S., & Santana, P. (2023). Is walkability equitably distributed across socio-economic groups? – A spatial analysis for Lisbon metropolitan area. Journal of Transport Geography, 106. https://doi.org/10.1016/j.jtrangeo.2022.103491

Pratiwi, H., Imro’ah, N., & Huda, N. M. (2025). Forest fire analysis from perspective of spatial-temporal using GSTAR (p; λ1, λ2, …, λp) model. Barekeng, 19(2), 1379–1392. https://doi.org/10.30598/barekengvol19iss2pp1379-1392

QGIS.org. (2025). QGIS Geographic Information System. QGIS Association. https://qgis.org/

Rada, N. E., & Fuglie, K. O. (2019). New perspectives on farm size and productivity. Food Policy, 84, 147–152. https://doi.org/10.1016/j.foodpol.2018.03.015

Rebolho, J. M., Barata, E., & Lopes, L. (2023). Contributions for the Study of Talent Retention at Regional Scale: A Creativity Index in Portugal. Revista Portuguesa de Estudos Regionais, 65, 51–69. https://doi.org/10.59072/rper.vi65.585

Reis, P., & Rolo, J. C. (2016). Eurozone crisis and the agrifood sector: The Portuguese case. Watch Letter, CIHEAM, 36.

Ren, C., He, L., Ma, Y., Reis, S., Van Grinsven, H., Lam, S. K., & Rosa, L. (2024). Trade-offs in agricultural outcomes across farm sizes. Earth Critical Zone, 1(1), 100007. https://doi.org/10.1016/j.ecz.2024.100007

Ren, C., Liu, S., van Grinsven, H., Reis, S., Jin, S., Liu, H., & Gu, B. (2019). The impact of farm size on agricultural sustainability. Journal of Cleaner Production, 220, 357–367. https://doi.org/10.1016/j.jclepro.2019.02.151

Román-Busto, J., Tasso, M., Caravello, G., Fuster, V., & Zuluaga, P. (2013). Genetics of population exchange along the historical portuguese-spanish border. Journal of Biosocial Science, 45(1), 79–93. https://doi.org/10.1017/S0021932012000363

Scopus. (2025). Scopus Database. https://www.scopus.com

Statistics Portugal. (2025). Agricultural Census. https://www.ine.pt/xportal/xmain?xpgid=ine_main&xpid=INE