Traditional Knowledge in the Time of Neo-Liberalism: Access and Benefit-Sharing Regimes in India and Bhutan
Barpujari, I. , and Sarma, U. K.
International Indigenous Policy Journal. 2017;8(1)
Abstract: In a neoliberal world, traditional knowledge (TK) of biodiversity possessed by Indigenous and Local Communities (ILCs) in the global South has become a valuable “commodity” or “bio-resource,” necessitating the setting up of harmonized ground rules (international and national) in the form of an access and benefitsharing regime to facilitate its exchange in the world market. Despite criticisms that a regime with a neo-liberal orientation is antithetical to the normative ethos of ILCs, it could also offer a chance for developing countries and ILCs to generate revenue for socioeconomic development—to which they are gradually becoming open, but only under fair and equitable terms. Based on this context, this article proposes to look into the legal and policy frameworks and institutional regimes governing access and benefit sharing of TK associated with biological resources in two countries of South Asia: India and Bhutan. The article seeks to examine how such regimes are reconciling the imperatives of a neo-liberal economy with providing a just and equitable framework for ILCs and TK holders, which is truly participatory and not top-down.
Courtesy – IIPJ
Deven Bansod, Geetilaxmi Mohapatra, A. K. Giri
The Romanian Economic Journal, 20 (63), March 2017
Abstract: Through this study, we try to evaluate the effects that the direct and indirect taxation and the subsidies provided by the Government have on income inequality. We use Gini coefficient as a measure of inequality and use annual data for Indian economy for years 1982-2015 and employ an ARDL-based bounds test approach for testing co-integration. We ascertain the stationarity properties for all the series, separately using the ADF test, the DF-GLS test and the KPSS test. We estimate the long-run and short-run coefficients and find that a long-run negative relationship exists between Gini coefficient and subsidy-related expenditure. The long-run coefficients of direct and indirect taxation terms are positive but are significant only at 10%. The short-run coefficients obtained from ECM show that a negative relationship exists between expenditure on subsidies and Gini coefficient. In short run, direct tax seems to have an insignificant positive coefficient while indirect tax seems to have a significant unbalancing effect. We employ the Granger causality tests to confirm direction of causality and find that there runs a unidirectional causality from direct tax, indirect tax and subsidy to Gini coefficient, while any causality from Gini to any series is largely insignificant. The results imply that the government should use the calculated hybrid of tools like direct and indirect taxation and subsidies to have an equalizing impact on the economy. Moreover, the significant causal relationship from subsidies to Gini opens up an opportunity for the government to improve the income distribution using targeted subsidies, for example the Aadhaar-linked Direct Transfer Benefits etc.