Equality of opportunity is the core of inclusive growth, and the inclusive growth emphasises to create employment and other development opportunities through rapid and sustained economic growth, and to promote social justice and the equality of sharing of growth results by reducing and eliminating inequality of opportunity. The main objective of the study is to measure the inclusive growth first and then empirically examine its determinants. To measure the inclusive growth, we use the methodology developed by Asian Development Bank using weights and scores of different indicators. We develop a unified measure of inclusive growth, which integrates growth, inequality, accessibility and governance into one single measure. Results show that Pakistan is at satisfactory performance level with respect to its performance in growth inclusiveness. Further results of ARDL show that macroeconomic stability and social financial deepening are important determinants to enhance the inclusiveness, and reduce poverty and inequality, while reforms in trade sector are required to increase their efficiency in terms of inclusiveness. JEL Classification: O4

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Using a structural vector autoregressive model, this study investigates the extent to which international oil price shocks have influenced the Chinese economy over the period 1991–2014. Given China’s intensified macroeconomic activity and its increasing demand for energy resources, we also examine the endogenous response of international oil prices to economic conditions in the country. To that end, we derive and empirically estimate a small open-economy New Keynesian model for China and the rest of the world. Our results show that the Chinese economy is relatively more sensitive to global economic conditions than to domestic policy actions. Global productivity shocks appear to be the most important variable causing Chinese macroeconomic activity through trade, where oil prices impact aggregate demand negatively.

This paper investigated the finance-growth nexus by adopting a novel approach for Pakistan. Firstly, we constructed a financial liberalization index by incorporating several time-varying financial frictions and reforms which is a manifestation of the de-jure financial liberalization process. Secondly, for examining the impact of financial liberalization on growth, we extended the Solow-Swan growth model to construct a financial sector augmented growth model. By incorporating the de-jure financial liberalization index, we examined the growth-finance linkages. By employing the Auto-Regressive Distributive Lag model and error-correction mechanism, the results of the study showed that de-jure financial liberalization provides momentum to economic growth in the short-run as well as in the long run. Empirical findings highlighted that moving towards a more liberalized financial system by reducing rigidities and expediting an effective reform process offers very hopeful prospects of economic growth in developing countries like Pakistan. Keywords: Financial frictions, Financial Reforms, Economic growth, Principal Component Analysis, ARDL Model