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International Journal of
            Population Studies                                              Pandemic spurs interstate outmigration in India



              The coefficient of variation analysis across states   out that female migration is often linked to marriage or
            (Figure 2) reveals a wide variation in outmigration levels.   associational migration, which is expected. In addition,
            In 1991, the variation of outmigration was relatively high   other studies (Agnihotri et al., 2012; Mehrotra & Parida,
            for all agents of migration (total, male, and female), and   2017; Parida & Madheswaran, 2020; Rajan  et al., 2020)
            it  rose  continuously  till  2011.  The  maximum  coefficient   have also pointed out that female migration differs from
            of variation observed for all the census periods is male   male migration in terms of employment orientation, as it is
            outmigration.                                      significantly influenced by social, economic, political, and
                                                               policy issues.
              Here, we have also presented economic-related
            (migration  for  work/employment  and  business)   3.2. Issues with inter-state outmigration
            outmigration  using  Census  data  in  Table  3  to  support
            the above discussion on the causes of migration. There is   The constitutional guarantees free mobility, but until
            no difference observed in the case of Uttar Pradesh and   recent decades, migration in our country was very low,
                                                               mainly driven by social reasons such as marriage and
            Bihar, as these states account for the majority of interstate
            outmigration for  economic  reasons. Furthermore,   family movement (Mishra, 2021). Moreover, people with
            Tables 1 and 3 highlight that Rajasthan is the third-largest   high skills, education, or resource endowments migrated
            source of inter-state outmigration for both economic and   between states in a country (Srivastava, 2020a). However,
                                                               it is believed that since  the economic  reforms in 1991,
            non-economic reasons. One interesting fact is that Odisha,   migration of all kinds (skilled and unskilled, educated and
            which was not on the list of top 10 inter-state migrating   uneducated, male and female, temporary and permanent,
            states, appears on the list of top 10 migrating states for   etc.) has increased as connectivity, communication, and
            economic reasons. This indicates that a large section of   opportunities  (Bhagat,  2010;  Rosenzweig  &  Munishi,
            individuals from Odisha are migrating to other parts of the   2009). Nonetheless, migrants, especially those with meager
            country in search of livelihood opportunities.
                                                               means and networks, and those at the lower end of the
              When analyzing female migration for economic     labor market, encounter various difficulties on reaching
            reasons,  we  observed  inconsistencies  across  different   their destination. These challenges are explained in the
            census years. As we can see, in the 2001 Census, Rajasthan   following sub-heads.
            is the top female migrating state for economic reasons,
            while Uttar Pradesh held this position in both the 1991   3.2.1. Poor living conditions
            and 2011 Censuses. Similarly, in the 1991, 2001, and 2011   Interstate migrants, especially interstate circular migrants,
            Censuses, Tamil Nadu, Kerala, and Madhya Pradesh were   live in the most deplorable conditions at their destination
            the three most female-migrating states, respectively, for   (Deshingkar & Akter, 2009; Rani & Shylendra, 2001;
            economic reasons. This inconsistent position of states   Srivastava & Sutradhar, 2016). These migrants enter the
            regarding female migration persists throughout the   labor market through contractors/middlemen, or networks
            table. A critical point of discussion is that, in most cases,   and are engaged in various industries such as agriculture,
            the top female migrating states differ from the top male   brick manufacturing, quarrying, and construction. The
            migrating  states.  This  difference  between  top  male  and   characteristics of these migrants include an absence of
            female migrating states is the opposite of the traditional   civic identity and citizenship at the destination, limited
            belief that female migration is associational migration with   access to housing and basic amenities, poor entitlements,
            their male counterpart. The previous studies by Srivastava   unfavorable working conditions, and discrimination in
            (2011), Verick (2017), Rajan & Sivakumar (2018), Rajan   the labor market. According to Srivastava (2020b), there
            & Sumeetha (2019), and Rajan et al. (2020) have pointed   were 52 million interstate vulnerable migrants in the
                                                               country in 2018. These vulnerable migrant workers are in
                                                               lower occupational categories, ranging from five to nine,
                                                               according to the National Classification of Occupations
                                                               (NCO) classification.

                                                               3.2.2. Health issues
                                                               Migrants suffer from various health issues as they work
                                                               in harsh circumstances and live in unhygienic conditions
            Figure 2. Coefficient of variation of outmigration of Indian states from   (Srivastava & Sasikumar, 2003). They generally undergo
            1991 – 2011. Note: Coefficient of variation represents the variation of
            states in terms of outmigration. Source: Author’s calculation based on   various problems such as obesity, diabetes, tuberculosis,
            1991, 2001, and 2011 Census.                       and febrile illness.  Moreover, studies  highlighted that


            Volume 10 Issue 3 (2024)                        82                        https://doi.org/10.36922/ijps.0916
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