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Introduction: The Economic Dynamism of Middle India

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Middle India and Urban-Rural Development

Part of the book series: Exploring Urban Change in South Asia ((EUCS))

Abstract

The town (Arni) at the centre of this book reflects non-metropolitan and non-corporate ‘Middle India’ widely regarded as marginalized from twenty-first century growth processes and drivers. But re-assessments of Indian censuses (for example by the ‘Indiapolis’ project) reveals this view as misguided. Middle India is constituted through small towns in a process of ‘subaltern urbanization’ where vibrant economic growth coexists with infrastructural neglect. The informal economy of such towns is now known to drive both growth and livelihoods. Termed ‘unorganized’, economic order is achieved through a balance between selective state regulation and the play of many forms of social authority revealed in this book. Liberalization and globalization has not dissolved this regulative complex, it has increased the tension between dissolving forces and those reworking and sometimes intensifying social regulation. The dynamism of this economy is explored through a range of theoretical prisms, through field research and case studies of the business economy, labour relations, clustered development (rice, silk and gold), income, investments and material spatial flows. But dynamic forces also involve ambivalence (infrastructure, forms of regulation and livelihoods are discussed here) and destruction (commodities and changes to the family firm are taken as examples). Links between urban dynamism and rural distress are followed (through crises of water, livelihoods and consumption). An introduction to the economic and political history of the town and its countryside is also provided.

‘My fascination with the energies exploding inside the bazaar always delays me … (Gita Mehta 1994, A River Sutra)

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Notes

  1. 1.

    Respectively; Ali (1940/1994), Patel and Thorner (1995), Mitra (1977), Dasgupta (2014).

  2. 2.

    Sen (2014) is citing De Long (2003) and Rodrik and Subramanian (2004).

  3. 3.

    For example, Datta (2013), Sen (2014), Brar et al. (2014).

  4. 4.

    ‘The percentage of urban population in these two city size-classes increasing from 15.6 % in 1981 to 22.6 % in 2011, and 12.1 % in 1981 to 20.0 % in 2011 respectively’ (Sen 2014, p. 56).

  5. 5.

    From data in Eswaran et al. (2009).

  6. 6.

    See Corbridge et al. (2014), Chandrasekhar and Ghosh (2007), Sinha et al. (2007).

  7. 7.

    Laungani (2013); They are Tier 2 and 3 towns in the census classification. Arni has become a class 2 town http://forbesindia.com/blog/category/middle-india/#ixzz2t6v2Ivk7 governed by a municipality promoted to grade one status in 1983 (TNUIFSL 2009).

  8. 8.

    This, however, has no implications for the organization of labour, or for the regulation or governance of contracts in the informal economy.

  9. 9.

    The ancient Sanskrit name for a culture area—roughly the Maurya empire—stretching from modern Afghanistan to Bangladesh.

  10. 10.

    See de Alcantara (1992) and the discussion of terms in Jeffrey (2001, p. 222), Crow (2001, p. 4), Harriss-White (2003), Kaviraj (1991).

  11. 11.

    Defined through population threshold and densities and the proportion of the non-agricultural population.

  12. 12.

    Between a third to a half of urban growth is estimated due to census reclassifications, Pradhan (2013).

  13. 13.

    See Pradhan (2013), Mukhopadhyay et al. (2012), Denis et al. (2012), Samanta (2014).

  14. 14.

    Bhagat (2011), Denis et al. (2011), Ghosh (2012), Lucci (2014), Parthasarathy (2013).

  15. 15.

    See Kennedy and Zerah (2008), for the evolution of the spatial planning process for partially commodified metro-city infrastructure and economic zoning and Sharma (2012) for small towns.

  16. 16.

    In 2009, water supply was reckoned to be at 63 % of need. Total dissolved solids (TDS) were at 2000 or more against the WHO standard of 0–500 (TNUIFSL 2009, pp. 35–36).

  17. 17.

    See Datta (2013) for Malegaon. Datta goes so far as to call Malegaon a ‘city forgotten’, seeing an epicentre of de-development, public and private poverty, a male labour fortress and a society vulnerable to communal riots.

  18. 18.

    In ‘specialty ‘ and ‘evolved’ categories such as baby foods, baby oils, cheese, pre- and post-wash products, hair conditioners, air fresheners, home insecticides prickly heat powder, ‘classy’ mobile handsets and TV upgrades (Laungani 2013).

  19. 19.

    See chapters by Harriss-White, Stanley, Roman, Arivukkarasi, Cavalcante in this book.

  20. 20.

    Citing evidence in Kennedy and Zerah (2008), for this effect.

  21. 21.

    See Basile and Harriss-White (2010), Chen (2005, 2007), ILO (2002, p. 38).

  22. 22.

    See Harriss (1982, 2007).

  23. 23.

    The distributive share is the relation between total wages to labour and net profit to the owner.

  24. 24.

    See Basile and Harriss-White (2010), Harriss-White (2012, 2014), Adnan (2014).

  25. 25.

    The controversial phrase is Michael Lipton’s (1977).

  26. 26.

    See Basile and Harriss-White (2014).

  27. 27.

    Since 1980, ‘Tiruppur studies’ have developed into a wide-ranging field. See references in the Preface here.

  28. 28.

    This paragraph draws closely on Basile and Harriss-White (2010). For elaborations, see Basile and Harriss-White (2003), Harriss-White (2003, pp. 239–247), Harriss-White and Vidyarthee (2010), Kapadia (2010), Harriss-White and Heyer (2014); and see Thompson et al. (2013) for South East Asia as a whole.

  29. 29.

    See http://www.isipe.net/ for a contemporary call for pluralism and http://en.wikipedia.org/wiki/Mouvement_Anti-Utilitariste_dans_les_Sciences_Sociales for Alain Caille’s call for heterodoxy in the 1980s.

  30. 30.

    Harriss and Harriss (1984), Harriss (1991), Basile (2013).

  31. 31.

    Nagaraj et al. (2006), Arivukkarisi forthcoming; Srinivasan (2010), Basile (2013).

  32. 32.

    Of the Vijayanagara era—of the late Middle Ages to early ‘modern’ period.

  33. 33.

    See TNUIFSL (2009, p. 8).

  34. 34.

    Officially the town is predicted to reach 100,000 by 2039 (TNUIFSl 2009, p. 9).

  35. 35.

    See Harriss (1991).

  36. 36.

    As theorized by John Mellor in his ‘New Economics of Growth’ (1976) which, while not neglecting production links privileges consumption linkages from agriculture.

  37. 37.

    These were and are at the high end compared with most of those gained from the informal economy.

  38. 38.

    See Harriss (1987a, b).

  39. 39.

    See Harriss-White, Stanley, Roman here for urban reforms (Chaps. 4, 5, and 7); and Arikkuvarisi and Polzin for rural ones (Chaps. 8 and 9).

  40. 40.

    All were run by well networked Muslim families.

  41. 41.

    See Basile and Harriss-White (2003), and Harriss-White (2003) for a more extended analysis of the institutions regulating the informal economy.

  42. 42.

    In the 1990s, the booming development literature on industrial districts and post-Fordist flexible specialization rediscovered agglomeration in commercial, industrial and service development. Rediscovering Marshall’s principle of economies of agglomeration (1920), clusters are argued to characterize the newest phase of global capitalist development—in the most advanced instances bolted into global value chains (Ruthven 2008; Basile 2013) They are widely depicted as thriving in the absence of deliberate state planning, relying instead on two kinds of collective efficiency—passive (through information, contacts, shared equipment etc.) and active (through associational politics) (Schmitz 1992).

  43. 43.

    TNUIFSL (2009, p. 19).

  44. 44.

    Known locally as a tank.

  45. 45.

    Though without the implication (c.f. Schmitz) that there is a consensual development culture underpinning collective efficiency.

  46. 46.

    For the town as a whole, spatial clustering could be quantified from the business listing via an adaptation of nearest neighbour analysis. This has yet to be achieved. The exploration of Arni’s social and spatial clustered silk sector was also taken forward by Nagaraj and Jayaraj (2006), and its rice sector by Janakarajan (1996) and clustering in general by Basile (2013 and here).

  47. 47.

    See also Harriss-White here for the common cluster of rice. Harriss-White revisited Arni’s rice processing sector, which generates employment for over 5000 workers, comparing it with the Italian models of industrial districts. The sector satisfied the conditions of growing internal intricacy, positive multipliers and externalities, together with economies of agglomeration in its powerfully and efficiently federated trade associations. But in its small size, short supply chain, and above all its oppressive labour relations, it is best understood as a low-equilibrium cluster.

  48. 48.

    See Mezzadri (2010).

  49. 49.

    It follows that a given moment of collective action has many possible outcomes. The manifold regulative changes that came with liberalization—together with labour-displacing and skill-destroying technical change in the cities of Chennai and Coimbatore—have changed both the social meaning of gold and the structure of demand. These have in turn changed production relations and the industrial structure of the cluster; they have intensified conflicts of interest within the production processes, ejected the newly admitted non-Achari caste entrants, changed the distribution of risk and transactions costs, and altered the distribution of income within the cluster.

  50. 50.

    See Harriss-White and Rodrigo (2013); see also Coelho and Vijayabaskar (2014), who also draw attention to the provision of differentiated consumption goods (a process first noticed in and around Arni in the urban and periodic marketplace system in the 1970s) and the jumping of spatial scales.

  51. 51.

    See Wanmali and Ramasamy (1994, pp. 191 and 208).

  52. 52.

    Government of India (1992, Chap. 14 , p. 380).

  53. 53.

    This is also happening on a grand scale in the UK in the (privatized) utilities and in health (publicly provided but with an internal market) and education (in the public sector, increasingly differentiated by quality from that of the private sector).

  54. 54.

    Werna (1993), Davis (1991).

  55. 55.

    e.g. inter alia, Rao and Gulati (1994), Wanmali and Ramasamy (1994).

  56. 56.

    See Basile and Harriss-White (2003).

  57. 57.

    Parts of the municipality are seriously understaffed for instance (TNUIFSL 2009, pp. 29–31).

  58. 58.

    Bribery is theorized as the privatization of, or creation of, a market in public resources by officials (patrons) charging citizens (clients) (Wade 1985). In earlier field research, collective bribery was found to be initiated by business associations and powerful ‘clients’ to speed access to resources (licences, infrastructure), to waive obligations to the state (tax), to avoid disciplinary regulation (movement of goods, safety, labour rights etc.) to delay or subvert the implementation of market regulation (packaging, transparent price formation, site, in a reversal of the orthodox theory’s role of patron and client (White and Harriss-White 1996). Clearly both balances of power between the state and capital are possible.

  59. 59.

    Combined SCs and FCs are about 35–40 % of the town’s population (Basile and Harriss-White 2014).

  60. 60.

    See evidence in Harriss-White et al. (2014).

  61. 61.

    Naidus and Mudaliars ‘without any education’, or ‘people in cross caste marriages’ (a stigmatized novelty), or the widow of a low level government employee ‘given work on compassionate grounds’.

  62. 62.

    Despite the lack of a coherent economic or political project for an economy structured for the most part through petty forms of production, trade, and services, one which expands through multiplication of numbers rather than accumulation (see Harriss-White 2012).

  63. 63.

    See Guerin (2009) Harriss-White and Rodrigo (2013).

  64. 64.

    See also Olsen and Morgan (2010).

  65. 65.

    Far smaller than All Indian average of 1.41 ha (Government of Tamil Nadu nd.; see also Chinnappa (1977, p. 93) for the decades of the 60s and 70s.

  66. 66.

    See Basile here Chap. 2 and 2013.

  67. 67.

    See Heyer (2010), Guerin et al. (2013).

  68. 68.

    In new ‘positioned’ research on micro finance among agricultural labouring and petty producing households in villages close to Arni in Vellore district, Guerin and colleagues find that the widely varied outcomes of these dedicated banking schemes depend on hierarchies of status between women within households. The capacity to repay depends on women’s power over other women. Women themselves juggle credit—constantly borrowing and lending—most of which is used for health, education, housing, ceremonies and the repayment or rearrangement of old debt. Female asset ownership is a vital determinant of a woman’s capacity to repay the SHG. Up to 30 % of household income may be derived from transfers between uterine kin—a relationship and set of practices never before recognized in this part of Tamil Nadu (Guerin et al. 2013; see also Garikipati 2013).

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Acknowledgments

Over and above the gratitude expressed in the Preface to this book, I want to thank Jawaharlal Nehru University’s Institute for Advanced Studies (particularly its Director, Prof. Salma Bava) and the Centre for the Informal Sector and Labour Studies (directed by Prof. Praveen Jha) for the Visiting Professorships in 2014 that provided me with congenial and stimulating environments in which to finish this chapter.

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Appendix: The Case for the Case Study

Appendix: The Case for the Case Study

The kind of context-dependent knowledge which a case study produces is just as fundamental as context-independent rules and theories to the expertise needed for both studying and actively conducting human affairs. There is no substitute for the case study in providing an intimate understanding of human behaviour—in this case expressed in economic activity. Predictive social science has not succeeded in generating theory which anticipates the main events of history; close observation is the ‘only route to knowledge-noisy, fallible, and biased though it be’ Campbell (1975, pp. 179, 191).

  1. (i)

    The history of science shows that large samples are by no means always needed for hypothesis testing, generalizability or falsification. The role of context is crucial and this in turn requires the kind of knowledge that is derived from case studies.

  2. (ii)

    It follows that case studies are useful both for hypothesis generation and testing but that their uses transcend these two activities. As a field of knowledge develops, extreme, most or least likely or critical cases are essential for critical progress in the development of rule-based knowledge/theory. The problem arises when, as in the case of Arni, there are few other cases to benchmark it against. Even then—or rather especially then—the case becomes a lens through which a whole society can be glimpsed. Flyvbjerg (2006) makes a strong justification for the roles of experience and intuition in identifying the paradigmatic case.

  3. (iii)

    A bias towards verification rather than testing hypotheses or propositions is found to be a general phenomenon throughout science. But case studies often produce surprises which lead to prevailing theories being revised or even rejected altogether. Studying Arni produced many such surprises. And if a bias in favour of verification dominated this means of learning, that would not have happened.

  4. (iv)

    Flyvbjerg showed that a detailed analytical narrative of the kind that pervades this book engages both with the abstract and the concrete, revealing the detail more as a property of the reality studied than of the case method as such.

Flyvbjerg concludes, with Kuhn, that disciplines which ignore ‘exemplars’ are ineffective. But that ‘case studies have to be ‘good’.

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Harriss-White, B. (2016). Introduction: The Economic Dynamism of Middle India. In: Harriss-White, B. (eds) Middle India and Urban-Rural Development. Exploring Urban Change in South Asia. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2431-0_1

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