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This study carries out a comprehensive examination of the evolving landscape of labour laws in India, with a particular focus on the recent labour codes introduced in 2020. Through a historical analysis of labour regulations, we contextualize the present labour regulatory framework, emphasizing the influence of the Indian state on the shifting dynamics of labour relations. Our analysis reveals that over the years the government has significantly enhanced labour market flexibility through less conspicuous channels and backdoor policy adjustments, instead of outright amending the ‘protectionist’ labour legislations. We argue that the new labour codes are an addition to the series of ‘reforms by stealth’ carried out by the government, to enhance flexibility in the labour market in the guise of promoting employment generation and economic growth. The new codes continue to exclude the bulk of the workforce engaged in the unorganized sector and have limited applicability in the organized sector. They dilute the bargaining power of trade unions and ‘juridify’ industrial relations and the provisions for exemptions in the OSHWCC further subject workers to precarious and subpar working conditions. [ABSTRACT FROM AUTHOR]

Theory points toward geographical clustering of economic activity as an important determinant of innovation. A stylized fact about the Indian economy is the geographic concentration of both economic activity and innovation. The paper first analyses the spatial pattern of patent applications across Indian districts. Considering innovation to be a complex and collaborative process, this paper investigates the relevance of economic geography for innovation for all Indian districts. We estimate agglomeration economies by creating Herfindahl index, localization index and Access index for all districts. Using the count data model, we estimate the effect of agglomeration economies, knowledge spillovers along with other variables including R&D expenditure, human capital, institution and infrastructure in creating innovation. The results show a strong and statistically significant effect of the agglomeration variables on innovative activity in a district. R&D expenditures in own district and neighbouring districts also have a positive relationship with the number of patent applications. Moreover, institutions, infrastructure and local socio-economic conditions do matter for innovative activity. [ABSTRACT FROM AUTHOR]