IDEAS home Printed from https://ideas.repec.org/a/sae/millen/v13y2022i3p411-441.html

Determinants of Crime Against Women in India: A Spatial Panel Data Regression Analysis

Author

Listed:
  • Antara Bhattacharyya
  • Sushil Kr. Haldar
  • Swapnendu Banerjee

Abstract

Gender discrimination has been an important socio-economic and cultural issue in Indian backdrop; though India is one of the fastest-growing nations in the world but she has ranked 108th (out of 144 countries) in 2016 on the global gender gap index. In order to explore the determinants of crimes (such as dowry death, rape, molestation and torture) in India, we consider 24 states and five time points (over 1995–2015). Rank correlation over time clearly suggests that states exhibiting higher incidence of molestation experience higher incidence of rape; we get similar results in case of torture and dowry death as well. We employ both global and local Moran’s indices for dowry death, which has the least reporting bias, and observe that space as well as neighbourhood effect does matter; on the contrary, we find that other types of crimes vary randomly. Specifically, spatial panel regression results on dowry death clearly show that space along with neighbourhood effect does matter towards variations of dowry death; only two variables namely female work force participation and police station significantly reduce the incidence of dowry death.

Suggested Citation

  • Antara Bhattacharyya & Sushil Kr. Haldar & Swapnendu Banerjee, 2022. "Determinants of Crime Against Women in India: A Spatial Panel Data Regression Analysis," Millennial Asia, , vol. 13(3), pages 411-441, December.
  • Handle: RePEc:sae:millen:v:13:y:2022:i:3:p:411-441
    DOI: 10.1177/09763996211003379
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/09763996211003379
    Download Restriction: no

    File URL: https://libkey.io/10.1177/09763996211003379?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tin-chi Lin & Alícia Adserà, 2013. "Son Preference and Children’s Housework: The Case of India," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(4), pages 553-584, August.
    2. Devika Hazra & Zhen Cui, 2018. "Macroeconomic Determinants of Crime: Evidence from India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(1), pages 187-198, December.
    3. Ahmed Rashad & Mesbah Sharaf, 2017. "Income Inequality and Violence Against Women: Evidence from India," Working Papers 2017-13, University of Alberta, Department of Economics.
    4. Sofia Amaral, 2015. "Do Improved Property Rights Decrease Violence Against Women in India?," Discussion Papers 15-10, Department of Economics, University of Birmingham.
    5. Clots-Figueras, Irma, 2011. "Women in politics: Evidence from the Indian States," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 664-690, August.
    6. P. K. Mishra & S. K. Mishra & M. K. Sarangi, 2020. "Do Women’s Advancement and Gender Parity Promote Economic Growth? Evidence from 30 Asian Countries," Millennial Asia, , vol. 11(1), pages 5-26, April.
    7. Baltagi, Badi H. & Pirotte, Alain, 2010. "Panel data inference under spatial dependence," Economic Modelling, Elsevier, vol. 27(6), pages 1368-1381, November.
    8. Baltagi, Badi H. & Griffin, James M., 1997. "Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline," Journal of Econometrics, Elsevier, vol. 77(2), pages 303-327, April.
    9. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    10. Prabir C. Bhattacharya & Vibhor Saxena, 2015. "Socio-Economic Determinants of Child and Juvenile Sex Ratios in India: A Longitudinal Analysis with District-Level Data," Heriot-Watt University Economics Discussion Papers 1503, Department of Economics, School of Management and Languages, Heriot Watt University.
    11. Antara Bhattacharyya & Sushil Kr. Haldar, 2020. "Socio-economic development and child sex ratio in India: revisiting the debate using spatial panel data regression," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(2), pages 305-327, December.
    12. Jayanti Bhattacharjee & Sushil Kr Haldar, 2015. "Economic Growth of Selected South Asian Countries: Does Institution Matter?," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(2), pages 356-370.
    13. Marie-Claire Robitaille, 2013. "Determinants of Stated Son Preference in India: Are Men and Women Different?," Journal of Development Studies, Taylor & Francis Journals, vol. 49(5), pages 657-669, May.
    14. Bina Agarwal & Pradeep Panda, 2007. "Toward Freedom from Domestic Violence: The Neglected Obvious," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 8(3), pages 359-388.
    15. Stephan Klasen & Claudia Wink, 2003. ""Missing Women": Revisiting The Debate," Feminist Economics, Taylor & Francis Journals, vol. 9(2-3), pages 263-299.
    16. Harry H. Kelejian & Ingmar R. Prucha & Yevgeny Yuzefovich, 2006. "Estimation Problems In Models With Spatial Weighting Matrices Which Have Blocks Of Equal Elements," Journal of Regional Science, Wiley Blackwell, vol. 46(3), pages 507-515, August.
    Full references (including those not matched with items on IDEAS)

    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. Antara Bhattacharyya & Sushil Kr. Haldar, 2020. "Socio-economic development and child sex ratio in India: revisiting the debate using spatial panel data regression," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(2), pages 305-327, December.
    2. Guilherme Resende & Alexandre Carvalho & Patrícia Sakowski & Túlio Cravo, 2016. "Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 1-31, January.
    3. Akgun, Oguzhan & Pirotte, Alain & Urga, Giovanni, 2020. "Forecasting using heterogeneous panels with cross-sectional dependence," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1211-1227.
    4. Nina Vujanovic & Bruno Casella & Richard Bolwijn, . "Forecasting global FDI: a panel data approach," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    5. Nishith Prakash & Krishna Chaitanya Vadlamannati, 2019. "Girls for Sale? Child Sex Ratio and Girl Trafficking in India," Feminist Economics, Taylor & Francis Journals, vol. 25(4), pages 267-308, October.
    6. Guilherme Mendes Resende & Alexandre Xavier Ywata de Carvalho & Patrícia Alessandra Morita Sakowski, 2013. "Evaluating Multiple Spatial Dimensions of Economic Growth in Brazil Using Spatial Panel Data Models (1970 - 2000)," Discussion Papers 1830a, Instituto de Pesquisa Econômica Aplicada - IPEA.
    7. Ana Angulo & F. Trívez, 2010. "The impact of spatial elements on the forecasting of Spanish labour series," Journal of Geographical Systems, Springer, vol. 12(2), pages 155-174, June.
    8. Ebert, Cara & Vollmer, Sebastian, 2022. "Girls unwanted – The role of parents’ child-specific sex preference for children’s early mental development," Journal of Health Economics, Elsevier, vol. 82(C).
    9. Amy Piedalue, 2015. "Understanding Violence in Place: Travelling Knowledge Paradigms and Measuring Domestic Violence in India," Indian Journal of Gender Studies, Centre for Women's Development Studies, vol. 22(1), pages 63-91, February.
    10. Alfred Michel Nandnaba, 2026. "From Capabilities to Peace: Can Mobile Money Reduce Conflicts in Developing Countries?," Post-Print hal-04566893, HAL.
    11. Gupta, Abhimanyu & Robinson, Peter M., 2015. "Inference on higher-order spatial autoregressive models with increasingly many parameters," Journal of Econometrics, Elsevier, vol. 186(1), pages 19-31.
    12. Espinoza-Delgado, José & Silber, Jacques, 2018. "Multi-dimensional poverty among adults in Central America and gender differences in the three I’s of poverty: Applying inequality sensitive poverty measures with ordinal variables," MPRA Paper 88750, University Library of Munich, Germany.
    13. Baltrunaite, Audinga & Bello, Piera & Casarico, Alessandra & Profeta, Paola, 2014. "Gender quotas and the quality of politicians," Journal of Public Economics, Elsevier, vol. 118(C), pages 62-74.
    14. Tang, Yunfeng & Zhang, Xuan & Lu, Shibao & Taghizadeh-Hesary, Farhad, 2023. "Digital finance and air pollution in China: Evolution characteristics, impact mechanism and regional differences," Resources Policy, Elsevier, vol. 86(PA).
    15. Xinhua Gu & Yang Zhang & Xiao Chang, 2017. "The role of financial systems for cross-country differences in the link between income and consumption inequality," Applied Economics, Taylor & Francis Journals, vol. 49(24), pages 2365-2378, May.
    16. Kajal Lahiri & Cheng Yang & Yimeng Yin, 2025. "Forecasting U.S. social security disability applications: a spatial dynamic panel data model approach," Empirical Economics, Springer, vol. 69(5), pages 2699-2725, November.
    17. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    18. Andrea Orame, 2020. "The role of bank supply in the Italian credit market: evidence from a new regional survey," Temi di discussione (Economic working papers) 1279, Bank of Italy, Economic Research and International Relations Area.
    19. Dierk Herzer & Philipp Hühne & Peter Nunnenkamp, 2014. "FDI and Income Inequality—Evidence from Latin American Economies," Review of Development Economics, Wiley Blackwell, vol. 18(4), pages 778-793, November.
    20. Mavisakalyan, Astghik & Tarverdi, Yashar, 2019. "Gender and climate change: Do female parliamentarians make difference?," European Journal of Political Economy, Elsevier, vol. 56(C), pages 151-164.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:sae:millen:v:13:y:2022:i:3:p:411-441. 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: SAGE Publications (email available below). General contact details of provider: .

    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.