Purpose This paper aims to scrutinize the asymmetric interactions between current account deficit and gross fiscal deficit in case of a growing and dynamically integrated economy, namely, India featured with high inequality and liquidity constraints. Two additional variables, trade-openness and output growth, are also incorporated into the analysis to assess their likely impact on the current account balance. Design/methodology/approach The study uses a recently developed non-linear autoregressive distributed lag model given by Shin et al. (2014) in its empirical examination. In addition, non-linear cumulative dynamic multipliers are used to understand the route between disequilibrium position of short-run and subsequent long-run equilibrium of the system. Findings The study confirms the long-run co-movements of current account deficit and gross fiscal deficit and therefore refutes the Ricardian Equivalence proposition and validates the twin-deficit hypothesis. But instead of a linear relationship of the kind examined in the previous studies, the two variables share asymmetric linkages – both in the short run and in the long run. The asymmetry indicates that positive changes are more influential than their negative counterparts in the short run, whereas in the long run, only the positive changes are found to alter the external balance statistically. The asymmetric impact of fiscal deficits on the current account balance of a country may arise due to its asymmetric impact on aggregate demand through consumption inflexibility (ratchet effect) and the existence of liquidity constraints. The other control variables used in the study are also found to have cointegration with the current account deficit, but the relationship is symmetrical in the long run, even though it is asymmetrical in the short run. The study finally uses the asymmetric cumulative dynamic multipliers to examine the route of asymmetries and adjustments over the course of time. The dynamic multipliers also confirm the results documented in the earlier part and therefore demonstrate their robustness. Practical implications The asymmetric results obtained in the study provide strong grounds to devise the policies adaptive to changing arenas in domestic and external sectors. Output growth, export promotion and import substitution, increasing integration and fiscal austerity are seen as helpful in achieving a desired (and growth conducive) external balance together with macroeconomic stability. The need for a prudent fiscal policy and avoidance of profligacy is indicated based on the asymmetric results to ward off any unfavorable impact of fiscal deficits on external account. To conduct a sound fiscal policy, the government needs to cut down unproductive consumption expenditure, raise tax revenues and should pay attention to distribution and trickle-down effects to avoid the adversity of high inequality and liquidity constraints in the economy. Moreover, to ameliorate the current account balance, policies aimed at increasing the real competitiven...
Applying an asymmetric model, the study reported no evidence of J-curve phenomenon in case of India. In the short-run currency appreciation deteriorates the trade balance and currency depreciation improves it. In the long-run, again the similar response is observed, however, only the impact of currency depreciation is statistically significant. Increase in domestic demand deteriorates the trade balance by a greater magnitude than improvement is observed due to the decline in domestic demand conditions. Finally, foreign demand hike improves the trade balance relatively by a higher magnitude; however, the impact of a foreign demand decline is statistically insignificant. JEL Codes: F4, F41, F42
Purpose This paper aims to measure the state-level energy efficiency in Indian paper industry and simultaneously explain inter-state variation in efficiency by inefficiency effect model. Three variables, labor productivity, capital intensity and structure of paper industry, are included in inefficiency effect model to assess the likely impact on energy efficiency. Design/methodology/approach Sub-vector input distance function is derived through neo-classical production function which provides measures to estimate energy efficiency. Assuming a translog production function specification, energy efficiency is estimated by using Battese and Coelli (1995) stochastic frontier analysis (SFA). The authors also estimated four other SFA models, and energy efficiency from all the models is compared for robustness checking. Findings The results show the existence of a vast potential to improve energy efficiency. Inefficiency effect model reported a positive impact of structure of the industry and capital intensity on energy efficiency performance, while labor productivity does not have any significant impact on energy efficiency. There exists considerable energy efficiency variation among states. Uttarakhand, Punjab and Orissa are the best performing states while Rajasthan, Jharkhand and Goa have worst energy efficiency performance based on average efficiency. The ranks assigned to states according to inefficiency effects model are found contrary to the simple measure of energy efficiency, i.e. energy intensity. Thus, energy intensity may not always be a good proxy for underlying energy efficiency and need to be compared with a comprehensive possible measure. Originality/value To the best of the authors’ knowledge, this is the first study which measures energy efficiency of Indian paper industry through stochastic frontier model using region-level data. Instead of relying on traditional energy efficiency indicators (energy-output ratio), total-factor energy efficiency approach is used to conduct the empirical exercise. Deviations from the frontier because of factors beyond the scope of producers are also incorporated into analysis to portray the magnitude of random factors in influencing the efficiency performance.
Purpose Because of growing energy consumption and increasing absolute CO2 emissions, the recent calibrations about the environmental sustainability across the globe have mandated to achieve the minimal energy consumption through employing energy-efficient technology. This study aims to estimate linkage between simple measure of energy efficiency indicator that is reciprocal of energy intensity and total factor productivity (TFP) in case of Indian paper industry for 21 major states. In addition, the study incorporates the other control variables like labour productivity, capital utilization and structure of paper industry to scrutinize their likely impact on energy efficiency performance of the industry. Design/methodology/approach To derive the plausible estimates of TFP, the study applies the much celebrated Levinsohn and Petrin (2003) methodology. Using the regional level data for the period 2001-2013, the study employs instrumental variable-generalized method of moments (GMM-IV) technique to examine the nature of relationship among the variables involved in the analysis. Findings An elementary examination of energy intensity shows that not all states are equally energy intensive. States like Goa, Rajasthan, Jharkhand and Tamil Nadu are less energy intensive, whereas Uttar Pradesh, Kerala, Chhattisgarh, Assam and Punjab are most energy-intensive states on the basis of their state averages over the whole study period. The results estimated through GMM-IV show that increasing level of TFP is associated with lower level of energy per unit of output. Along this better skills and capacity utilization are also found to have positive impact on energy efficiency performance of industry. However, the potential heterogeneity within the structure of industry itself is found responsible for its higher energy intensity. Practical implications States should ensure and undertake substantial investment projects in the research and development of energy-efficient technology and that targeted allocations could be reinforced for more fruitful results. Factors aiming at improving the labour productivity should be given extra emphasis together with capital deepening and widening, needed for energy conservation and environmental sustainability. Given the dependence of structure of paper industry on the multitude of factors like regional inequality, economic growth, industrial structure and the resource endowment together with the issues of fragmented sizes, poor infrastructure and availability and affordability of raw materials etc., states should actively promote the coordination and cooperation among themselves to reap the benefits of technological advancements through technological spill overs. In addition, owing to their respective state autonomies, state governments should set their own energy saving targets by taking into account the respective potentials and opportunities for the different industries. Despite the requirement of energy-efficient innovations, however, the cons of technological advancements and the legal frameworks on the employment structure and distributional status should be taken care of before their adoption and execution. Originality/value To the best of our knowledge, this is the first study that empirically examines the linkage between energy efficiency and TFP in case of Indian paper industry. The application of improved methods like Levinsohn and Petrin (2003) to derive the TFP measure and the use of GMM-IV to account for potential econometric problems like that of endogeneity will again add to the novelty of study.
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