Syed Asif Ali Naqvi

Bio: Syed Asif Ali Naqvi is an academic researcher from Government College University, Faisalabad. The author has contributed to research in topics: Agriculture & Granger causality. The author has an hindex of 8, co-authored 33 publications receiving 238 citations.

Renewable energy, economic development, and ecological footprint nexus: fresh evidence of renewable energy environment Kuznets curve (RKC) from income groups

Abstract: This study aims to measure the association of real economic growth per capita, renewable energy consumption, and financial development with ecological footprints (EFP) across the 155 countries of four different income groups over the period of 1990–2017. For the analysis, the unit root tests allowing cross-sectional dependency, Westerlund cointegration test, common correlated effect of mean group, augmented mean group, mean group, and Dumitrescu–Hurlin panel causality test are used. The results verify both the environmental Kuznets curve (EKC) and renewable energy environment Kuznets curve (RKC) hypotheses in the high-income group; however, other groups have not shown reliable results. Moreover, it is observed that the existence of RKC is a turning point for high-income countries, and it takes place before the turning point of the forthcoming EKC. Besides, empirical outcomes endorse the presence of long-run equilibrium and indicate that financial development has a negative and significant effect on the EFP in the case of the high-income group. In contrast, upper–middle– and lower–middle–income groups show the insignificant relationship with the dependent variable. Likewise, financial development has a positive and significant association with EFP for the low-income group. Conversely, biomass energy has a negative relationship with EFP in high- and lower–middle–income groups, while a positive association has been observed for the remaining two groups. We suppose that the study outcomes would guide the policymakers in decision-making regarding the development and usage of renewable energy to prevent environmental damages.

Exploring the linkage among energy intensity, carbon emission and urbanization in Pakistan: fresh evidence from ecological modernization and environment transition theories

Abstract: This study uses ecological modernization and environmental transition theories to estimate the interaction among energy intensity, carbon emission and urbanization for the period of 1980-2017. We have systematically examined the empirical connections among emission, urbanization, income per capita, imports, exports, energy use, trade openness and energy intensity. The Johnson co-integration and Vector Error Correction Model (VECM) causality methods are employed for the sake of analysis. Overall findings confirm the dynamic and U-shaped relationship between emission and urbanization, and carbon emission and income per capita. The empirical results of urbanization, inflation and financial development illustrate positive association with the energy intensity, whereas trade openness, labour force participation and carbon emission show a negative association with the dependent variable. Moreover, outcomes of causality analysis provide evidence of varied causality link among the variables across the models. The study provides the implications for the decision makers in Pakistan to choose new urbanization patterns that are less reliant on energy consumption.

Nexus of biomass energy, key determinants of economic development and environment: A fresh evidence from Asia

Abstract: The rising trend in environmental pollution in current years has elevated the demand for clean energy to reduce environmental stress, and the newly developed biomass energy source is contributing well in this regard. This paper quantifies, if biomass energy consumption is performing as the main driver for economic development and clean energy source to decrease the pollution levels. Associations among carbon emission, economic development, and biomass energy have been estimated by using the Common correlated effects mean group, and Panel vector autoregressive techniques for 38 countries of Asia from 1990 to 2017. Granger causality and Impulse-response functions are also measured. A closer look at the results shows that 1% increase in biomass consumption will increase CO2 emission by 1.698%. The study also found support for the presence of an N-shaped relationship between per capita income and emission and found trade openness and urbanization as the contributors to environmental pollution. Outcomes provide empirical evidence that there is bidirectional causality between real economic growth to inflation and financial development to inflation in the first model. The second model also showed bidirectional causality between real economic growth to financial development and inflation, and inflation to trade openness. The findings show that biomass energy consumption is acting as the key driver for economic development and performing as a non-clean energy source in decreasing pollution.

Social limits to growth

Abstract: One in a while, every twenty years perhaps, a book appears that makes one see a whole area of human experience in a new light. Once pointed out, the new insights are sp obvious that one cannot understand how one could have missed them before. In the broad area of the political economy of western society, J.A. Schumpeter's Capitalism, Socialism and Democracy (1943) was one such book. So, with all its faults, was J.K. Galbraith's The Affluent Society (1957). Fred Hirsch's Social Limits to Growth (Routledge and Kegan Paul, London, 1977) is another.

Age-Structure, Urbanization, and Climate Change in Developed Countries: Revisiting STIRPAT for Disaggregated Population and Consumption-Related Environmental Impacts

Abstract: We focus on three environmental impacts particularly influenced by population age-structure—carbon emissions from transport and residential energy and electricity consumption—as well as aggregate carbon emissions for a panel of developed countries, and take as our starting point the STIRPAT framework. Among our contributions is to further disaggregate population into three particularly key age groups: 20-34, 35-49, and 50-64, and by doing so demonstrate that population’s environmental impact differs considerably across age-groups, with the older age-groups (ones typically associated with larger households) actually exerting a negative influence. Furthermore, those age-specific population influences are different (in absolute and relative terms) for the different environmental impacts we analyze. Also, we find that urbanization, in developed countries, best measures access to a country’s power grid, and thus, is positively associated with energy consumption in the residential sector. Lastly, we suggest some modelling and methodological improvements to the STIRPAT framework.

Revisiting the role of renewable and non-renewable energy consumption on Turkey’s ecological footprint: Evidence from Quantile ARDL approach

Abstract: The current study re-investigates the impact of renewable and non-renewable energy consumption on Turkey’s ecological footprint. This study applies Quantile Autoregressive Lagged (QARDL) approach for the period of 1965Q1-2017Q4. We further apply Granger-causality in Quantiles to check the causal relationship among the variables. The results of QARDL show that error correction parameter is statistically significant with the expected negative sign for all quantiles which confirm an existence of significant reversion to the long-term equilibrium connection between the related variables and ecological footprint in Turkey. In particular, the outcomes suggested that renewable energy decrease ecological footprint in long-run on each quantile. However, the results of economic growth and non-renewable energy impact positively to ecological footprint in long-short run period at all quantiles. Finally, we tested the Environmental Kuznets Curve (EKC) hypothesis and the results of QARDL confirmed the EKC in Turkey. Furthermore, the findings of causal investigation from Granger-causality in quantiles evident the presence of a bi-directional causal relationship between renewable energy consumption, energy consumption and economic growth with ecological footprint in the Turkish economy.

Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates

Abstract: The present study explores the relationship between economic growth, electricity consumption, urbanization and environmental degradation in case of United Arab Emirates (UAE). The study covers the quarter frequency data over the period of 1975–2011. We have applied the ARDL bounds testing approach to examine the long run relationship between the variables in the presence of structural breaks. The VECM Granger causality is applied to investigate the direction of causal relationship between the variables. Our empirical exercise reported the existence of cointegration among the series. Further, we found an inverted U-shaped relationship between economic growth and CO 2 emissions i.e. economic growth raises energy emissions initially and declines it after a threshold point of income per capita (EKC exists). Electricity consumption declines CO 2 emissions. The relationship between urbanization and CO 2 emissions is positive. Exports seem to improve the environmental quality by lowering CO 2 emissions. The causality analysis validates the feedback effect between CO 2 emissions and electricity consumption. Economic growth and urbanization Granger cause CO 2 emissions.

Serum Uric Acid Levels Correlate with the Severity and the Mortality of Primary Pulmonary Hypertension

Abstract: Serum uric acid (UA), the final product of purine degradation, has been proposed to be a marker for impaired oxidative metabolism and a possible predictor of mortality in patients with chronic heart failure. To elucidate whether serum UA correlates with the severity and the mortality of primary pulmonary hypertension (PPH), serum UA was assessed in 90 patients with PPH together with other clinical variables. Right heart catheterization was performed in all patients. Serum UA was significantly elevated in patients with PPH compared with age-matched control subjects (7.5 +/- 2.5 versus 4.9 +/- 1.2 mg/ml, p < 0.001). Serum UA negatively correlated with cardiac output (r = -0.52, p < 0.001) and positively correlated with total pulmonary resistance (r = 0.57, p < 0.001). Serum UA significantly decreased from 7.1 +/- 1.9 to 5.9 +/- 1.6 mg/dl with vasodilator therapy, associated with a reduction in total pulmonary resistance from 22 +/- 6 to 17 +/- 7 Wood units. During a mean follow-up period of 31 mo, 53 patients died of cardiopulmonary causes. Among noninvasive variables, serum UA was independently related to mortality by a multivariate Cox proportional-hazards analysis. The Kaplan-Meier survival curves according to the median value of serum UA demonstrated that patients with high serum UA had a significantly higher mortality rate than did those with low serum UA (log-rank test, p < 0.01). These results suggest that serum UA increases in proportion to the clinical severity of PPH and has independent association with long-term mortality of patients with PPH.