Soon after independence, the economy of Pakistan was regarded as a weedy manufacturing sector. The key drive of trade policies, therefore, keeps on improving and enhancing value addition and growth of manufacturing sector. To achieve this target, the government exercised trade liberalization measures in 1970s that gained momentum in mid 1990s when the country joined world trade organization. Switching to outer-oriented trade regime poses the question of "whether trade liberalization affects economic growth through its effect on manufacturing value addition". This paper addresses the question by testing the hypothesis "trade liberalization affects economic growth through its effects on manufacturing value addition." The hypothesis is tested empirically by using time series data spanning from 1972 to 2012. The empirical estimation has been carried out through ARDL bound testing approach and UECM estimation technique. The estimates indicate that trade liberalization enhances manufacturing value added and consequently economic growth through its effect on manufacturing value addition.

A well-established segment of economic literature argues for an efficient allocation of resources to overcome poor growth performance, poverty, and inequality. However, the resource allocation response towards these economic issues varies across countries. Based on their respective socio-economic and political fabric, countries set priorities and accordingly allocate the available resources towards different sectors of the economy. The sectoral allocation of the available resource pie has repercussions for various economic variables like growth, poverty, and income inequality. In this context, this study contributes to the existing literature on the subject in two ways. First, this study aims to assess the factors that determine overall public spending across economies by focusing on socio-economic, political, and institutional factors. Second, the study examines the role of those factors in determining health, education, infrastructure, and defence spending. The study uses the panel data of 104 countries for the period 1990-2016 and employs FE-IV method to conclude that bureaucratic quality, democratic accountability, internal conflict, external conflict, government stability, and military involvement are the main institutional and economic variables determining public spending allocations at the aggregate and sectoral levels.

The paper aims to empirically assess the effects of technological spillovers on economic growth and to examine the roles of host country absorptive capacity. The empirical analysis was carried out at the country level on a panel of five Asian countries covering the period from 1972 to 2018. As the variable of interest (technological spillovers) and mediator variable (absorptive capacity) are captured with a variety of indicators, hence two empirical models are estimated with different specifications. The study’s findings indicate that technological spillovers through all three channels have a positive effect on economic and TFP growth. Touching on the role of absorptive capacity in technological spillovers and economic growth nexus, study findings reveal that the human capital of the sample countries has no significant role to absorbed imported technology in the growth process of the host country. However, the empirical indication illustrates that a country holding comparatively more domestic R&D expenditure yields the potential gain of technological spillovers in economic growth.

The present study focuses on a widely discussed phenomenon, Asymmetric Price Transmission, which refers to the nonlinear behavior of prices when they are evaluated at their crests and troughs. The underlying study attempts to capture this behavior, giving special emphasis to the transportation sector of Pakistan. By employing monthly data of retail oil prices spanning between 1990 and 2016, we have tried to empirically investigate the existence of this phenomenon in a sector directly linked with oil price variations. This sector has been often overlooked in terms of its evaluation within the given context. Our study employs a recently developed nonlinear autoregressive distributed lag model (NARDL), to examine the pass-through of oil prices into the fares of the transportation sector. This model allows us to capture short-run and long-run estimates simultaneously and also offers an opportunity to determine the magnitude of respective positive and negative oil price shocks. In addition, this study categorizes the transport sector into subsegments of LTVs and HTVs and finds differential patterns in the response of these two categories against oil price variations. The obtained results indicate that oil prices affect the fares of the transportation sector asymmetrically. The findings of the study are instrumental for identifying the pass-through of oil prices to the subsegments of transport sectors. This identification about the differential impact/pass upon the various segments of the transport sector can be helpful for policymakers, especially if they are concerned about devising a trickle-down policy in periods of oil price decline.