Analysis of energy related CO2 emissions in Pakistan

Abstract CO2 (carbon dioxide) emissions from fossil fuels have turned out one of the most perilous and complex issues driving the climate change debate. The issue of increasing demand for electricity at the same time reducing CO2 emissions has become important worldwide. This study evaluates the CO2 emissions from the power sector of Pakistan during 1978–2017 using Logarithmic Mean Divisia Index technique and scenario analysis. We estimate LMDI to check the change under prearranged elements. According to results, the shift in population, activity effects, and gross domestic product are the essential factors in charge of the increase in CO2 emissions while carbon intensity and energy intensity effects participate in cutting emissions. Finally, scenario analysis found overall activity increases due to population and intensity of CO2 emissions, but carbon intensity could be reduced by using cleaner energy technologies. The findings suggest that CO2 emissions will possibly arrive at 277.9 Mt in 2035 in Pakistan. In relation with the main findings, some targeted policies suggestions are provided.

[1]  Samuel Asumadu Sarkodie,et al.  Toward a sustainable environment: Nexus between CO2 emissions, resource rent, renewable and nonrenewable energy in 16-EU countries. , 2019, The Science of the total environment.

[2]  P. Baredar,et al.  Renewable energy resources in South Asian countries: Challenges, policy and recommendations , 2017, Resource-Efficient Technologies.

[3]  Boqiang Lin,et al.  Technical change, inter-factor and inter-fuel substitution possibilities in Pakistan: a trans-log production function approach , 2016 .

[4]  I. Martínez‐Zarzoso,et al.  Pooled mean group estimation of an environmental Kuznets curve for CO2 , 2004 .

[5]  Chunbo Ma,et al.  Biomass and China's Carbon Emissions: A Missing Piece of Carbon Decomposition , 2008 .

[6]  B. W. Ang,et al.  A new energy decomposition method: perfect in decomposition and consistent in aggregation , 2001 .

[7]  Boqiang Lin,et al.  Electricity demand and conservation potential in the Chinese nonmetallic mineral products industry , 2014 .

[8]  Yong Geng,et al.  Spatial-temporal patterns and driving factors for industrial wastewater emission in China , 2014 .

[9]  Ge Chen,et al.  Energy use by Chinese economy: A systems cross-scale input-output analysis , 2017 .

[10]  Sean Lyons,et al.  The distributional implications of a carbon tax in Ireland , 2009 .

[11]  Boqiang Lin,et al.  Measuring energy rebound effect in the Chinese economy: An economic accounting approach , 2015 .

[12]  Muhammad Mushtaq Khan,et al.  Energy for economic growth, industrialization, environment and natural resources: Living with just enough , 2013 .

[13]  Ek Peng Chew,et al.  Perfect decomposition techniques in energy and environmental analysis , 2003 .

[14]  Jining Chen,et al.  Decomposition of energy-related CO2 emission in China: 1957–2000 , 2005 .

[15]  M. Sadiq Solar water heating system for residential consumers of Islamabad, Pakistan: A cost benefit analysis , 2018 .

[16]  Sehar Munir,et al.  Impact of Fossil Fuel Energy Consumption on CO2 Emissions: Evidence from Pakistan (1980-2010) , 2014 .

[17]  Boqiang Lin,et al.  Exploring the driving forces and mitigation pathways of CO2 emissions in China’s petroleum refining and coking industry: 1995–2031 , 2016 .

[18]  M. A. Kamal,et al.  Carbon emissions from power sector in Pakistan and opportunities to mitigate those , 2014 .

[19]  J. Herbohn,et al.  Tropical secondary forests regenerating after shifting cultivation in the Philippines uplands are important carbon sinks , 2016, Scientific Reports.

[20]  Bin Zhang,et al.  Renewable energy consumption, economic growth and human development index in Pakistan: Evidence form simultaneous equation model , 2018 .

[21]  Boqiang Lin,et al.  Carbon emissions reduction in China's food industry , 2015 .

[22]  B. W. Ang,et al.  Factorizing changes in energy and environmental indicators through decomposition , 1998 .

[23]  M. Cropper,et al.  The Interaction of Population Growth and Environmental Quality , 1994 .

[24]  Yi-Ming Wei,et al.  Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysis , 2007 .

[25]  T. Kastner,et al.  Global changes in diets and the consequences for land requirements for food , 2012, Proceedings of the National Academy of Sciences.

[26]  Yajuan Yu,et al.  Changes in water footprint of crop production in Beijing from 1978 to 2012: a logarithmic mean Divisia index decomposition analysis , 2015 .

[28]  Alireza Bahadori,et al.  Global strategies and potentials to curb CO2 emissions in cement industry , 2013 .

[29]  David C. Wheeler,et al.  The toxic intensity of industrial production: Global patterns, trends, and trade policy , 1992 .

[30]  Victor Moutinho,et al.  Change in energy-related CO2 (carbon dioxide) emissions in Portuguese tourism: a decomposition analysis from 2000 to 2008 , 2016 .

[31]  Tetsuo Tezuka,et al.  Scenario analysis on future electricity supply and demand in Japan , 2012 .

[32]  O. Erenstein,et al.  Impacts of changing weather patterns on smallholder well-being , 2017 .

[33]  Yu Liu,et al.  Assessment of impacts of Hubei Pilot emission trading schemes in China – A CGE-analysis using TermCO2 model , 2017 .

[34]  W. Lise Decomposition of CO2 emissions over 1980-2003 in Turkey , 2006 .

[35]  Juan Antonio Espinosa-Pulido,et al.  Does environmental sustainability contribute to tourism growth? An analysis at the country level , 2019, Journal of Cleaner Production.

[36]  F. Mirza,et al.  Energy consumption, carbon emissions and economic growth in Pakistan: Dynamic causality analysis , 2017 .

[37]  M. Cameron,et al.  Household energy elasticities and policy implications for Pakistan , 2018 .

[38]  Zakaria Zoundi CO2 emissions, renewable energy and the Environmental Kuznets Curve, a panel cointegration approach , 2017 .

[39]  Xin Cao,et al.  Social cognition of climate change in coastal community: A case study in Xiamen City, China , 2018 .

[40]  Fuqiang Zhang,et al.  Methodological issues in cross-country/region decomposition of energy and environment indicators , 2001 .

[41]  Muhammad Mushtaq Khan,et al.  Triangular relationship among energy consumption, air pollution and water resources in Pakistan , 2016 .

[42]  Leonard Ortolano,et al.  Cleaner production in Pakistan's leather and textile sectors , 2014 .

[43]  Sahar Afshan,et al.  Impact of tourism on CO2 emission: evidence from Pakistan , 2017 .

[44]  B. W. Ang,et al.  Attribution of changes in Divisia real energy intensity index — An extension to index decomposition analysis , 2012 .

[45]  Fuqiang Zhang,et al.  Inter-regional comparisons of energy-related CO2 emissions using the decomposition technique , 1999 .

[46]  So Young Sohn,et al.  A novel decomposition analysis of green patent applications for the evaluation of R&D efforts to reduce CO2 emissions from fossil fuel energy consumption , 2018, Journal of Cleaner Production.

[47]  Elif Akbostancı,et al.  CO2 emissions of Turkish manufacturing industry: A decomposition analysis , 2011 .

[48]  Hooi Hooi Lean,et al.  Natural Gas Consumption and Economic Growth in Pakistan , 2013 .

[49]  Bin Zhao,et al.  Spatiotemporal variations of PM2.5 and PM10 concentrations between 31 Chinese cities and their relationships with SO2, NO2, CO and O3 , 2015 .

[50]  Sonke Kreft,et al.  Global Climate Risk Index 2014 , 2012 .

[51]  Xunmin Ou,et al.  Scenario analysis on alternative fuel/vehicle for China’s future road transport: Life-cycle energy demand and GHG emissions , 2010 .

[52]  J. Ang CO2 emissions, energy consumption, and output in France , 2007 .

[53]  Boqiang Lin,et al.  Analysis of energy related carbon dioxide emission and reduction potential in Pakistan , 2017 .

[54]  Tiziano Gallo Cassarino,et al.  The impact of social and weather drivers on the historical electricity demand in Europe , 2018, Applied Energy.

[55]  Mohamed Moubarak,et al.  Decomposition analysis: Change of carbon dioxide emissions in the Chinese textile industry , 2013 .

[56]  Guohe Huang,et al.  A copula-based flexible-stochastic programming method for planning regional energy system under multiple uncertainties: A case study of the urban agglomeration of Beijing and Tianjin , 2018 .

[57]  Bin Chen,et al.  Driving force analysis of the agricultural water footprint in China based on the LMDI method. , 2014, Environmental science & technology.

[58]  Qinghua Zhu,et al.  Trajectory and driving factors for GHG emissions in the Chinese cement industry , 2013 .

[59]  Abdel Hafiez Ali Hasaballah,et al.  Determinants of environmental sustainability: Evidence from Saudi Arabia. , 2019, The Science of the total environment.

[60]  Yue-Jun Zhang,et al.  The decomposition of energy-related carbon emission and its decoupling with economic growth in China , 2015 .

[61]  Boqiang Lin,et al.  Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China , 2015 .

[62]  Zhaohua Wang,et al.  Features and influencing factors of carbon emissions indicators in the perspective of residential consumption: Evidence from Beijing, China , 2016 .

[63]  Hyo Seon Park,et al.  Influence of variations in CO2 emission data upon environmental impact of building construction , 2017 .

[64]  THE EFFECT OF EXISTING DISTORTIONS IN ENERGY MARKETS ON THE COSTS OF POLICIES TO REDUCE CO2 EMISSIONS: EVIDENCE FROM GREEN , 1992 .

[65]  G. Grossman,et al.  Economic Growth and the Environment , 1994 .

[66]  Boqiang Lin,et al.  Valuing Chinese feed-in tariffs program for solar power generation: A real options analysis , 2013 .

[67]  M. Siddiqui,et al.  Can carbon taxes be progressive , 2014 .

[68]  Miao Wang,et al.  Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors , 2017 .

[69]  B. W. Ang,et al.  Decomposition analysis for policymaking in energy:: which is the preferred method? , 2004 .

[70]  R. Steenblik,et al.  Reform of coal policies in Western and Central Europe: Implications for the environment , 1995 .