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Regional disparities in social development: A case of selected districts in Kerala, India

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Abstract

Regional disparities are prevalent in almost all nations globally irrespective of whether being developed, developing, or under-developed. With the recent shift of focus towards human development, the presence of inequalities in social development is one of the major issues faced by developing nations and hence becomes the underlying theme of this paper. It attempted to explore the spatial inequalities in the social development of a selected region within and representing Kerala state, India. This research attempted to address the following question: whether a state which has been performing socially well has inequalities present among its regions. A set of relevant variables were shortlisted from a holistic literature review and further screened using various criteria followed by an expert opinion survey. Subsequently, spatial analysis of regional disparities was conducted in two stages. Firstly, a composite index to measure the development of settlements was constructed by adopting the principal component analysis approach. Secondly, the settlements were grouped into three homogenous clusters by k-means cluster analysis and named accordingly. The results revealed that, in terms of reduced inequalities, the settlements performed well in social infrastructure development followed by road infrastructure. At the same time, the performance of the settlements in social characteristics was poor. Significant variations were also found in employment and housing infrastructure development. While the composite index helped compare the development status of settlements, the classification of settlements aided in identifying regions and sectors that were backward in terms of social development. Accordingly, solutions and strategies were proposed for balanced regional development.

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Notes

  1. India is a union of states with a federal, parliamentary governance system. There are 28 states and nine union territories (UTs), which are further divided into districts.

  2. India’s administrative set-up adopts a decentralised system comprising the country at the apex, followed by the state and the local self-government. Each state comprises districts, and each district is further divided into urban local bodies named Municipal Corporations or Municipalities and rural local bodies named Grama Panchayats.

  3. The hotspot analysis using univariate LISA identified significant clusters and outliers. There are four types of clusters based on the spatial association: high-high, low-low, low–high, and high-low. The first two associations indicate clustering of similar values, and the latter two are spatial outliers where there is a clustering of dissimilar values.

  4. Internal validation measures assess the quality of clustering. These measures reflect the compactness (Dunn Index), connectedness (Connectivity) and separation of the clusters (Silhouette width).

  5. Stability measures validate the clusters by comparing the results of clustering based on full data with one column removed. These measures include Average Distance (AD), Average proportion of non-overlap (APN), Average Distance between Means (ADM) and Figure of Merit (FOM).

  6. The Panchayat Raj system adopted in India for decentralised governance follows a three-tier system from village-level (Gram Panchayat) to block-level (Taluka/Block Panchayat) and then to district-level (Zilla Panchayat).

References

  • NITI Aayog. (2018). SDG India index- Baseline report, 2018. New Delhi. United Nations, Government of India, NITI Aayog. http://niti.gov.in/writereaddata/files/SDX_Index_India_21.12.2018.pdf

  • NITI Aayog. (2019a). Healthy States progressive INDIA report- Report of the ranks of States and Union Territories. The World Bank, Government of India, Ministry of Health and Family Welfare, NITI Aayog. http://social.niti.gov.in/uploads/sample/health_index_report.pdf

  • NITI Aayog. (2019b). School quality education index- SEQI 2019. Government of India, Ministry of Human Resource Development, NITI Aayog. https://niti.gov.in/sites/default/files/2019-09/seqi_document.pdf

  • NITI Aayog. (2019c). SDG India index and dashboard 2019–20. New Delhi. United Nations, Government of India, NITI Aayog. https://niti.gov.in/sdg-india-index-dashboard-2019-20

  • Aneja, R. (2013). Regional industrial disparities in Haryana, India: A composite indices analysis. Indian Journal of Economics & Development, 1(1), 18–23.

    Google Scholar 

  • Anselin, L. (1995). Local indicators of spatial association- LISA. Geographical Analysis, 27(2), 93–115.

    Article  Google Scholar 

  • Anvar, P. (2003). Regional development in Kerala: A study of Malappuram district. Cochin University of Science and Technology.

  • Ayyoob, K., & Krishnadas, M. (2016). Regional inequalities in the agrarian development of Kerala: A multivariate approach to the causative factors. International Journal of Farm Sciences, 6(1), 14–19.

    Google Scholar 

  • Ballas, D., Lupton, R., Kavroudakis, D., Hennig, B., Yiagopoulou, V., Dale, R., & Dorling, D. (2012). Mind the gap: Education inequality across EU regions.

  • Bhatia, V. K., & Rai, S. . (2004). Evaluation of socio-economic development in small areas. Indian Society of Agricultural Statistics.

  • Boeckhout, S., & McClements, C. (2010). Regional disparities in Albania. European Union and UNDP Albania, Integrated Support for Decentralization Project “Working for Regional Development”. https://www.al.undp.org/content/dam/albania/docs/Regional%20Disparities%20in%20Albania%20-%20Analysis.pdf

  • Brock, G., Pihur, V., Datta, S., & Datta, S. (2008). ClValid: An R package for cluster validation. Journal of Statistical Software, 25(4), 1–22.

    Article  Google Scholar 

  • CDS-UN. (1975). Poverty, unemployment and development policy: A case study of selected issues with reference to Kerala. United Nations, Department of Social and Economic Affairs.

    Google Scholar 

  • Congdon, P., & Southall, H. (2005). Trends in inequality in infant mortality in the north of England 1921-1973 and their association with urban and social structure. Journal of the Royal Statistical Society Series a: Statistics in Society, 168(4), 679–700.

    Article  Google Scholar 

  • Dasgupta, B. (1971). Socio-economic classification of districts: A statistical approach. Economic and Political Weekly, 6(33), 1763–1774.

    Google Scholar 

  • Deshpande, A. (2000). Does caste still define disparity? A look at inequality in Kerala. India. American Economic Review, 90(2), 322–325.

    Article  Google Scholar 

  • ETUC and ETUI. (2011). Regional inequalities in Europe. In ETUC and ETUI (Ed.), Benchmarking Working Europe 2012 (pp. 88–99). Brussels.

  • Ezcurra, R., & Rodríguez-Pose, A. (2013). Does Economic Globalization affect Regional Inequality? A Cross-country Analysis. World Development, 52, 92–103.

    Article  Google Scholar 

  • Ezcurra, R. (2019). Regional disparities and within-country inequality in the European union. Revista De Economia Mundial, 2019(51), 139–162.

    Google Scholar 

  • Nardo, M., Saisana, M., Saltelli, A., Tarantola S., Hoffman, A., & Giovannini, E. (2005), "Handbook on Constructing Composite Indicators: Methodology and User Guide", OECD Statistics Working Papers, No. 2005/03, OECD Publishing, Paris.

  • Fernando, M., Samita, S., & Abeynayake, R. (2012). Modified factor analysis to construct composite indices: Illustration on urbanization index. Tropical Agricultural Research, 23(4), 327. https://doi.org/10.4038/tar.v23i4.4868

    Article  Google Scholar 

  • Firoz, M. C., Banerji, H., & Sen, J. (2014). A methodology to define the typology of rural urban continuum settlements in Kerala. Journal of Regional Development and Planning, 3(1), 49–60.

    Google Scholar 

  • Franke, R. W., & Chasin, B. H. (1989). Kerala: Radical reform as development in an Indian State (2nd ed.). The Institute for Food and Development Policy.

    Google Scholar 

  • George, K. K., & Kumar, N. A. (1997). Kerala- The land of development paradoxes (No. 2). CSES Working paper.

  • Goletsis, Y., & Chletsos, M. (2011). Measurement of Development and Regional Disparities in Greek Periphery: A Multivariate Approach. Socio-Economic Planning Sciences, 45(4), 174–183.

    Article  Google Scholar 

  • Greyling, A. (2013). A composite index of quality of life for the Gauteng city-region: A principal component analysis approach (7). GCRO Working paper series.

  • Haili, W., Tianfeng, Y., Xiaodong, H., & Xiaobin, Q. (2014). Analysis of regional economic disparities in Guizhou province based on ESDA-GIS. SHS Web of Conferences, 7, 01006.

    Article  Google Scholar 

  • He, Y., Wang, Y., & Chen, X. (2019). Spatial patterns and regional differences of inequality in water resources exploitation in China. Journal of Cleaner Production, 227, 835–848. https://doi.org/10.1016/J.JCLEPRO.2019.04.146

    Article  Google Scholar 

  • Hung, T., & Yasuoka, Y. (2001). Integrating spatial statistics and GIS for regional studies in Thailand. Geocomputation, (2).

  • Jacob, S. (2014). The Kerala regime and regional disparities in health infrastructure versus outcomes. India Review, 13(1), 58–77. https://doi.org/10.1080/14736489.2014.873680

    Article  Google Scholar 

  • Kallingal, F. R. (2019). Capturing regional disparities in social development- Interim report. Unpublished interim report.

    Google Scholar 

  • Kallingal, F. R., & Firoz, M. C. (2017a). Composite index of social development: A case of Kerala, India. In Proceedings of the International Conference on Working Class Districts/ Urban Transformations and Qualities of Life in the Growing City, Vienna, Austria (pp. 46–52). https://wienerwissenswelt.fh-campuswien.ac.at/images/f/f3/WissensWeltJournal_2017_01-01.pdf#page=15

  • Kallingal, F. R., & Firoz, M. C. (2017b). Patterns of social development: A case of selected districts in Kerala, India. In Book of Abstracts, Proceedings, 5th International Conference on Sustainable Development (5th ICSD), Rome, Italy (p. 113). https://ecsdev.org/images/conference/5thICSD2017/5ICSD-2017-Book-of-Abstracts.pdf

  • Kallingal, F. R. (2017). Regional disparities in social development of Kerala: A spatial assessment. Unpublished MPlan Thesis, Department of Architecture and Planning, National Institute of Technology.

  • Kerala State Planning Board- NCAER. (2014). Perspective plan 2030- Kerala, Volume I: Encouraging entrepreneurship in production sectors. Thiruvananthapuram. Government of Kerala, Kerala State Planning Board. http://www.ncaer.org/publication_details.php?pID=255

  • Krishnan, V. (2010). Constructing an area-based socioeconomic index: A principal components analysis approach. Early Child Development Mapping Project (ECMap) Alberta. Canada.

  • Kumar, R. P., Prabhakaran, P., George, J. K., & Parambath, S. G. (2016). Mapping regional disparities in human development- The case of erstwhile Andhra Pradesh. Procedia Technology, 24, 1843–1850. https://doi.org/10.1016/J.PROTCY.2016.05.233

    Article  Google Scholar 

  • Kundu, A., Mohanan, P. C., & Varghese, K. (2013). Spatial and social inequalities in human development: India in the global context. India. United Nations Development Programme. https://www.undp.org/content/dam/india/docs/human-development/spatial-and-social-inequalities-in-human-development--india-in-t.pdf

  • Kurian, N. J. (2000). Widening regional disparities in India: Some indicators. Economic and Political Weekly, 35(7), 538–550.

    Google Scholar 

  • Kutscherauer, A., Fachinelli, H., Hucka, M., Skokan, K., Suchacek, J., Tomanek, P., & Tuleja, P. (2010). Regional disparities: Disparities in country regional development - Concept, theory, identification and assessment (WD-55–07–1). Regional disparities in regional development of the Czech Republic.

  • Leni, V. (2006). Regional disparities in human development in Kerala. MG University.

    Google Scholar 

  • Li, Y., & Wei, Y. H. D. (2010). The spatial-temporal hierarchy of regional inequality of China. Applied Geography, 30, 303–316. https://doi.org/10.1016/j.apgeog.2009.11.001

    Article  Google Scholar 

  • Liou, L., Kim, R., & Subramanian, S. V. (2020). Identifying geospatial patterns in wealth disparity in child malnutrition across 640 districts in India. SSM - Population Health, 10, 100524. https://doi.org/10.1016/J.SSMPH.2019.100524

    Article  Google Scholar 

  • Lu, S., Guan, X., Yu, D., Deng, Y., & Zhou, L. (2015). Multi-scale analysis of regional inequality based on spatial field model: A case study of China from 2000 to 2012. ISPRS International Journal of Geo-Information, 4(4), 1982–2003. https://doi.org/10.3390/ijgi4041982

    Article  Google Scholar 

  • Ma, X., & Pei, T. (2012). Exploratory spatial data analysis of regional economic disparities in Beijing during 2001–2007. In A. G. O. Yeh, W. Shi, Y. Leung, & C. Zhou (Eds.), Advances in Spatial Data Handling and GIS (Vol. 38, pp. 39–48). Berlin, Heidelberg: Springer.

  • Malakar, K., Mishra, T., & Patwardhan, A. (2018). Inequality in water supply in India: An assessment using the Gini and Theil indices. Environment, Development and Sustainability, 20(2), 841–864. https://doi.org/10.1007/s10668-017-9913-0

    Article  Google Scholar 

  • MoUD-TCPO. (2015). Urban and regional development plans formulation and implementation (URDPFI) guidelines- Volume I. Government of India, Ministry of Urban Development, Town and Country Planning Organisation. http://mohua.gov.in/upload/uploadfiles/files/URDPFI%20Guidelines%20Vol%20I.pdf

  • Mukherjee, S., Haddad, S., & Narayana, D. (2011). Social class related inequalities in household health expenditure and economic burden: Evidence from Kerala, South India. International Journal for Equity in Health, 10(1), 1.

    Article  Google Scholar 

  • Naidu, V. N., & Nair, M. S. (2007). Development disparity in education sector- An inter district temporal analysis in Kerala (Education). eSS Working Paper.

  • Naidu, V. N. (2000). Panchayat level disparities in development in Kerala: A case study of Thiruvananthapuram district. Thiruvananthapuram. Kerala Research Programme on Local Level Development (KRPLLD), Centre for Development Studies.

  • Noorbakhsh, F. (2003). Human development and regional disparities in India (No. 2003_12). Working Paper. Business School- Economics, University of Glasgow.

  • Nordregio, U. M. S. R. I. A. T. E., Spatial Planning, R. R. G., Geoinformation, E. F., & LIG. (2007). Regional disparities and cohesion: What strategies for the future. European Parliament.

    Google Scholar 

  • Odoi, A., Wray, R., Emo, M., Birch, S., Hutchison, B., Eyles, J., & Abernathy, T. (2005). Inequalities in neighbourhood socioeconomic characteristics: Potential evidence-base for neighbourhood health planning. International Journal of Health Geographics, 4(1), 20. https://doi.org/10.1186/1476-072X-4-20

    Article  Google Scholar 

  • Ojo, A., Vickers, D., & Ballas, D. (2013). Creating a small scale area classification for understanding the economic, social and housing characteristics of small geographical areas in the Philippines. Regional Science Policy & Practice, 5(1), 1–24. https://doi.org/10.1111/j.1757-7802.2012.01076.x

    Article  Google Scholar 

  • Paas, T., & Vahi, T. (2012). Regional disparities and innovations in Europe. ERSA Conference papers. European Regional Science Association, ERSA.

  • Piacentini, M. (2014). Measuring income inequality and poverty at the regional level in OECD countries. OECD Statistics Working Papers (Vol. 03). OECD Publishing.

  • Planning Commission Government of India. (2011). Human development index (HDI). In India Human Development Report 2011: Towards Social inclusion. OUP India.

  • Planning Commission Government of India. (2013). Regional equality. In Twelfth Five Year Plan (2012–2017): Faster, More Inclusive and Sustainable Growth (Vol. 1, pp. 302–336). SAGE Publications India Pvt Ltd.

  • Punj, G., & Stewart, D. W. (1983). Cluster analysis in marketing research: Review and suggestions for application. Journal of Marketing Research, 20(2), 134–148. https://doi.org/10.2307/3151680

    Article  Google Scholar 

  • Quintana, L., Salas, C., Duarte, C., & Correa-Quezada, R. (2019). Regional inequality and labour precariousness: An empirical regional analysis for Brazil, Mexico and Equador. Regional Science Policy and Practice, 12(1), 61–81. https://doi.org/10.1111/rsp3.12251

    Article  Google Scholar 

  • Ravi, K., & Venables, A. (2007). Spatial disparities and economic development. In D. Held & A. Kaya (Eds.), Global Inequality: Patterns and Explanations (pp. 204–215). Polity.

    Google Scholar 

  • Saikia, H. (2012). Regional inequality of social sector development in India. Romanian Journal of Regional Sciences, 6(2), 73–90.

    Google Scholar 

  • Sam, K., & Chakma, N. (2016). An inter-Block level analysis of regional disparity in the youngest Alipurduar district of West Bengal. Space and Culture, India, 3(3), 10–21.

    Article  Google Scholar 

  • Sielska, A., & Pawłowska, A. (2015). Regional disparities in labour productivity in Poland: A spatial statistics approach. Global Journal of Business, Economics and Management: Current Issues, 5(2), 53–62.

    Google Scholar 

  • Smith, R. J., & Rey, S. J. (2018). Spatial approaches to measure subnational inequality: Implications for Sustainable Development Goals. Development Policy Review, 36, O657–O675. https://doi.org/10.1111/dpr.12363

    Article  Google Scholar 

  • Soares, J. O., Marquês, M. M. L., & Monteiro, C. M. F. (2003). A multivariate methodology to uncover regional disparities: A contribution to improve European Union and governmental decisions. European Journal of Operational Research, 145(1), 121–135. https://doi.org/10.1016/S0377-2217(02)00146-7

    Article  Google Scholar 

  • Sruthi Krishnan, V., & Mohammed Firoz, C. (2020). Regional urban environmental quality assessment and spatial analysis. Journal of Urban Management, 9(2), 191–204.

    Article  Google Scholar 

  • Subrahmanian, K. K., & Prasad, S. (2008). Rising inequality with high growth- Isn’t this trend worrisome? Analysis of Kerala experience (No. 401). CDS Working Paper. Thiruvananthapuram.

  • Suryanarayana, M. H., Agrawal, A., & Prabhu, K. S. (2011). Inequality-adjusted Human Development Index for India’s States. United Nations Development Programme. New Delhi. UNDP India. http://www.in.undp.org/content/dam/india/docs/inequality_adjusted_human_development_index_for_indias_state1.pdf

  • Tharakan, P. K. M. (2006). Kerala Model revisited: New problems , fresh challenges (CSES W.P. No. 15). CSES Working paper. Kochi.

  • Tharakan, P. K. M. (2008). When the Kerala Model of development is historicised: A chronological perspective (CSES W.P. No. 19). CSES Working paper. Kochi.

  • UN General Assembly. (2000). United Nations Millennium Declaration, Resolution Adopted by the General Assembly. New York: United Nations. https://undocs.org/A/RES/55/2

  • UN DESA. (2005). The inequality predicament- Report on the world social situation 2005. United Nations, Department of Social and Economic Affairs. http://daccess-ods.un.org/access.nsf/Get?Open&DS=A/60/117&Lang=E

  • United Nations. (2015). “Transforming Our World: The 2030 Agenda for Sustainable Development.” United Nations Development Programme. https://sustainabledevelopment.un.org/content/documents/21252030%20Agenda%20for%20Sustainable%20Development%20web.pdf

  • Vyas, S., & Kumaranayake, L. (2006). Constructing socio-economic status indices: How to use principal components analysis. Health Policy and Planning, 21(6), 459–468. https://doi.org/10.1093/heapol/czl029

    Article  Google Scholar 

  • Wang, H., Liu, F., Yuan, Y., & Wang, L. (2013). Spatial-temporal analysis of the economic and environmental coordination development degree in Liaoning province. Geography Journal, 2013, 1–8. https://doi.org/10.1155/2013/195635

    Article  Google Scholar 

  • Wong, C. (2006). Indicators for urban and regional planning: The interplay of policy and methods. Routledge.

    Book  Google Scholar 

  • Yu, D., & Wei, Y. D. (2003). Analyzing regional inequality in Post-Mao China in a GIS environment. Eurasian Geography and Economics, 44(7), 514–534. https://doi.org/10.2747/1538-7216.44.7.514

    Article  Google Scholar 

  • Zachariah, K. C., & Rajan, S. I. (2015). Dynamics of emigration and remittances in Kerala: Results from the Kerala Migration Survey 2014 (No. 463). CDS Working Paper. Thiruvananthapuram.

  • Zhang, J., & Deng, W. (2016). Multiscale spatio-temporal dynamics of economic development in an interprovincial boundary region: Junction area Of Tibetan plateau, Hengduan mountain, Yungui plateau and Sichuan basin, southwestern China case. Sustainability, 8(215), 1–18. https://doi.org/10.3390/su8030215

    Article  Google Scholar 

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Acknowledgements

The authors wish to thank the Directors and Faculty of Centre for Socio Economic and Environmental Studies (CSES), Kochi, Kerala and Centre for Development Studies, Thiruvananthapuram, Kerala for their valuable inputs. The authors also wish to thank the Faculty of the Department of Architecture and Planning, National Institute of Technology Calicut, Kerala for their valuable suggestions and inputs with a special mention of the M.Plan Thesis (2015-17) Committee.

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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by [FRK]. The supervision was done by [MFC] The first draft of the manuscript was written by [FRK] and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Fathim Rashna Kallingal.

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The datasets analysed during the current study are available in the CENSUS OF INDIA repository, https://censusindia.gov.in/DigitalLibrary/archive_home.aspx

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Kallingal, F.R., Mohammed Firoz, C. Regional disparities in social development: A case of selected districts in Kerala, India. GeoJournal 88, 161–188 (2023). https://doi.org/10.1007/s10708-022-10592-w

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