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The adverse impacts of climate change have occupied central theme of many policy initiatives. This paper investigated the impact of economic development, fossil fuel consumptions and population density on CO2 in India, Pakistan and Bangladesh using annual data over the period 1971–2014. We have applied panel Autoregressive distributed lags model to estimate the long‐run dynamics and Vector error correction model specified Granger causality test for finding the causality direction. Using three multivariate equations model, the empirical outcome of our study has established key associations that have crucial policy implications. Firstly, the results of auto‐regressive distributed lags (ARDL) confirmed the environmental Kuznets curve hypothesis that the relationship between CO2 and economic development is U‐shaped. Moreover, fossil fuel consumption and population density have a positive impact on CO2 emission in the long run. VECM test evidence suggests that short‐run causalities from economic development to CO2, population density to CO2 and fossil fuel consumption to CO2 exist. Secondly, CO2 has a negative impact on economic development while the impacts of fossil fuel, FDI and total exports on economic development have been significantly positive in the long run. In short run, CO2, fossil fuel consumption and FDI Granger cause economic development. Lastly, CO2 emission negatively influences population density while economic development positively affects population density in long run. Moreover, short‐run causalities from economic development to population density and CO2 to population density exit. For policy drives, efficient and low carbon emission technologies should be used. [ABSTRACT FROM AUTHOR]

SUMMARY Non-government organisations (NGOs) have become a critical constituent of the larger civil society, and their activities have been institutionalised into the development process. Under the title 'NGO', they are only a few decades old in the region, but they had an earlier life as 'voluntary' organisations. In the context of the Indian sub-continent, NGOs evolved from institutions of charity and welfare, mainly within the prerogative of kings and philanthropists, to become stakeholders in the development process and the self-appointed well-wishers of poor and marginalised communities. In their journey, they were sometimes partners and collaborators with the state, sometimes advocates and sometimes adversaries. The state-NGO relationship evolved through various political regimes and was marked by tensions-at times overt and at times hidden. Copyright © 2011 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

The use of Bayesian Belief Networks (BBNs) in modeling of environmental and natural resources systems has gradually grown, and they have become one of the mainstream approaches in the field. They are typically used in modeling complex systems in which policy or management decisions must be made under high uncertainties. This article documents an approach to constructing large and highly complex BBNs using a matrix representation of the model structure. This approach allows smooth construction of highly complicated models with intricate likelihood structures. A case study of the Ganges river basin, the most populated river basin of the planet, is presented. Four different development scenarios were investigated with the purpose of reaching the Millennium Development Goals and Integrated Water Resources Management goals, both promoted by the United Nations Agencies. The model results warned against the promotion of economic development policies that do not place strong emphasis on social and environmental concerns. Integr Environ Assess Manag 2012; 8: 491-502. © SETAC [ABSTRACT FROM AUTHOR]