Black carbon is a substance responsible for up to 40 per cent of the effects of global warming till date (Philadelphia Tribune, 2017), most of it made up of soot. Black carbon is a form of particulate matter that can be airborne and can be suspended in the atmosphere and travel thus.
When this particulate matter gets deposited on frozen surfaces such as in the Arctic or in Himalayan glaciers and snow, its high absorption of the Sun’s heat causes the frozen material to melt and liquefy. The US Environmental Protection Agency claims that carbon black has contributed to a rise in sea levels of between 6 to 8 inches since 1960.
Life-Cycle and Effects of Black Carbon
Black carbon is usually produced due to the incomplete combustion of fossil fuels and vegetation. Black carbon comes under the category of particulate matter however, and cannot exactly be called a greenhouse gas, although it can stay airborne for up to a few days or weeks. Black carbon occurs ubiquitously on the Earth’s surface and occurs on soil, sediments, frozen surfaces and also the atmosphere. Its main heat absorbing constituents are the aerosols present in it consisting of fine solid or liquid particles.
Black carbon’s brief atmospheric lifespan means that its effects on the Earth’s climate are regional, such as due to the melting of ice in the Arctic and in Himalayan glaciers. However, Seiler and Crutzen’s (1980) study of black carbon formed in vegetation fires suggested that black carbon might act as a carbon sink due to this form of carbon not degrading over time and could in fact store carbon over long periods of geological time.
Black carbon can also represent a significant portion of the carbon pool of Earth’s oceans in the form of carbonaceous aerosol deposits. The extraordinary problems caused by black carbon therefore, is its presence on frozen surfaces on Earth, causing them to melt and contribute to sea level rise.
Black carbon’s slow atmospheric lifespan could mean that its effects would stop exacerbating if anthropogenic carbon emissions were reduced. This means that reducing anthropogenic carbon emissions would greatly help reduce the short-term effects of global warming, especially the effects of climate change on sea level rise due to the melting of frozen regions.
Although black carbon has immense effects on climate change, many people however, see black carbon as more of a health threat than a threat to the Earth’s climate. According to the Centre for Science & Environment (CSE), the form of black carbon that is detrimental to human health is particulate black carbon of the size PM 2.5. These fine particles can be airborne and affect the respiratory and cardiovascular systems in the human body. According to an estimate by the World Health Organization (WHO) in 2009, about 3.1 million people worldwide, most of whom are from developing countries, suffer premature deaths due to inhalation of these PM 2.5 particles.
The effects of black carbon on the Earth’s climate, however, can go beyond merely melting frozen surfaces. Black carbon as a warming agent is different from organic carbon, which is a cooling agent. With significant effects on weather and climate, black carbon particles are able to influence cloud formation and their lifetimes, rainfall and other related weather patterns.
Black carbon particles can also influence temperature contrasts between regions, thereby influencing not just precipitation, but also wind patterns. The effects however, are accompanied with large deposits of black carbon and trace amounts although, are sufficient to melt frozen matter on the Earth’s surface.
Black Carbon and India
The largest amount of emissions of black carbon occur in the developing countries, especially from large emitters such as India and China which emit about 25 to 35 per cent of total global black carbon emissions (CSE, 2012). Due to the close proximity of the Himalayas to sources of black carbon emissions, high quantities of black carbon are said to be deposited in the Himalayas.
Black carbon had become a focal point in the Kyoto Protocol (2001), with the US citing its exclusion in the document as the reason for America’s withdrawal from the agreement. Although the US has expressed its readiness to include black carbon in international protocols, India has remained reluctant to enter into agreements that include black carbon.
Contrary to some studies that propose that global warming will not be reduced by black carbon mitigation measures, many entities believe that black carbon mitigation is a possible and doable solution to climate change.
The US formed a coalition including many Western countries and the UN in 2012 for short-term solutions for climate change involving carbon black mitigation. The focus is jointly on black carbon along with hydrofluorocarbons and methane, with black carbon and methane being significant sources of Arctic melting. The imperatives for their solutions are on national action plans and policy imperatives including capacitation in developing countries.
In India the Indian Space Research Organization (ISRO) is carrying out research on the impacts of aerosols in the Indo-Gangetic Plains. The project is called the ISRO-Geosphere Biosphere Programme and is meant to measure black carbon.
A large amount of agricultural waste burning and firewood burning along with fossil fuel combustion takes place in the region. These effects are significantly intense during the winter months due to the stillness of air, low precipitation and the burning of agricultural waste.
Black Carbon in the Himalayas
In a study by R. Zhang et al. (2015) titled ‘Quantifying sources, transport, deposition, and radiative forcing of black carbon over the Himalayas and Tibetan Plateau’ on the effects of black carbon in the Himalayas and the Tibetan Plateau, the transport, deposition and radiative forcing of black carbon was quantified for the region.
The first correlation transmitted by the study confirmed that airborne and deposited black carbon is affecting the melting of snow and glacier retreat. The study undertook to quantify the source-receptor relationships of black carbon due to the impacts of anthropogenic activity and black carbon emissions on the Himalayas and in the Tibetan Plateau.
Their analysis of the source-receptor relationships in black carbon dispersion reveals that the dispersal sourced from separate geographical areas is dependent on the season and the locational peculiarities of the Himalayas and the Tibetan Plateau.
The largest contribution annually, however, comes from biomass and biofuel emissions from South Asia, with the second-largest contribution coming from fossil fuel emissions from South Asia, followed in turn by fossil fuel emissions from East Asia. These contributions are constant for all seasons except for the summer season, when fossil fuel emissions from East Asia become a larger contributor.
The study found that the largest burden on black carbon dispersal in the Himalayas was placed upon by biomass, biofuel and fossil fuel emissions from South Asia. The effects of black carbon emissions on the Tibetan Plateau were more location-specific, with emissions from East Asia contributing to dispersal in the northeastern plateau while emissions from Central Asia and the Middle East having an effect on black carbon dispersal in the northwestern plateau.
This process was accentuated during the summer season, with higher dispersal especially from East Asia during the summer months. These dispersals effect both the melting of snow and glacier retreat in the Himalayas and in the Tibetan Plateau.
Black Carbon in the Arctic
In a study by C. Jiao and M.G. Flanner (2016) titled ‘Changing black carbon transport to the Arctic from present day to the end of 21st Century’, they report on how Arctic wind patterns have changed due to an alteration in the winter polar dome structure that is due to loss of sea ice and surface warming, particularly in the Chukchi Sea region.
The wind pattern that results from this change favours the transport of East Asian aerosol emissions and inhibits North American aerosol emissions from travelling polewards. Computer simulations based on present day emissions also point towards a reduction of the Arctic annual mean burden by between 13.6 per cent and 61 per cent due to black carbon by the end of the 21st Century.
In the Arctic, even organic carbon, which tends to scatter sunlight and thus is a cooling agent, combines with black carbon to form soot, which is a carbonaceous substance that exhibits high heat absorption. The black carbon emissions from the inhabited land hemispheres which are most likely to reach the Arctic region are most likely to come northwards from 40oN, with the maximum contributions expected to come from regions falling in these latitudes (K. Bice et al., 2009). The effects of black carbon and other aerosols cumulatively on the Arctic are believed to be disproportionate by the scientific community.
Conclusion
One of the greatest challenges to checking black carbon emissions is that a large and growing fraction of black carbon emissions come from developing countries that still have many inefficient methods of combusting material that could produce black carbon. On the other hand, most mitigation measures develop in the more developed nations, many of which are located close to the Arctic Circle while most developing countries are located closer to the equatorial regions.
The highest emissions have come from India, China and Southeast Asia. Here the constraints on reducing black carbon emissions based on finance and industrial framework and capacity are also the greatest. Mitigation here could include technology for and R&D on low emissions, a proper energy infrastructure based on proper regulations, and proper urban, industrial and rural administration. In what is largely a by-process of production processes, a best practices approach is a necessity.
Recent Posts
- In the Large States category (overall), Chhattisgarh ranks 1st, followed by Odisha and Telangana, whereas, towards the bottom are Maharashtra at 16th, Assam at 17th and Gujarat at 18th. Gujarat is one State that has seen startling performance ranking 5th in the PAI 2021 Index outperforming traditionally good performing States like Andhra Pradesh and Karnataka, but ranks last in terms of Delta
- In the Small States category (overall), Nagaland tops, followed by Mizoram and Tripura. Towards the tail end of the overall Delta ranking is Uttarakhand (9th), Arunachal Pradesh (10th) and Meghalaya (11th). Nagaland despite being a poor performer in the PAI 2021 Index has come out to be the top performer in Delta, similarly, Mizoram’s performance in Delta is also reflected in it’s ranking in the PAI 2021 Index
- In terms of Equity, in the Large States category, Chhattisgarh has the best Delta rate on Equity indicators, this is also reflected in the performance of Chhattisgarh in the Equity Pillar where it ranks 4th. Following Chhattisgarh is Odisha ranking 2nd in Delta-Equity ranking, but ranks 17th in the Equity Pillar of PAI 2021. Telangana ranks 3rd in Delta-Equity ranking even though it is not a top performer in this Pillar in the overall PAI 2021 Index. Jharkhand (16th), Uttar Pradesh (17th) and Assam (18th) rank at the bottom with Uttar Pradesh’s performance in line with the PAI 2021 Index
- Odisha and Nagaland have shown the best year-on-year improvement under 12 Key Development indicators.
- In the 60:40 division States, the top three performers are Kerala, Goa and Tamil Nadu and, the bottom three performers are Uttar Pradesh, Jharkhand and Bihar.
- In the 90:10 division States, the top three performers were Himachal Pradesh, Sikkim and Mizoram; and, the bottom three performers are Manipur, Assam and Meghalaya.
- Among the 60:40 division States, Orissa, Chhattisgarh and Madhya Pradesh are the top three performers and Tamil Nadu, Telangana and Delhi appear as the bottom three performers.
- Among the 90:10 division States, the top three performers are Manipur, Arunachal Pradesh and Nagaland; and, the bottom three performers are Jammu and Kashmir, Uttarakhand and Himachal Pradesh
- Among the 60:40 division States, Goa, West Bengal and Delhi appear as the top three performers and Andhra Pradesh, Telangana and Bihar appear as the bottom three performers.
- Among the 90:10 division States, Mizoram, Himachal Pradesh and Tripura were the top three performers and Jammu & Kashmir, Nagaland and Arunachal Pradesh were the bottom three performers
- West Bengal, Bihar and Tamil Nadu were the top three States amongst the 60:40 division States; while Haryana, Punjab and Rajasthan appeared as the bottom three performers
- In the case of 90:10 division States, Mizoram, Assam and Tripura were the top three performers and Nagaland, Jammu & Kashmir and Uttarakhand featured as the bottom three
- Among the 60:40 division States, the top three performers are Kerala, Andhra Pradesh and Orissa and the bottom three performers are Madhya Pradesh, Jharkhand and Goa
- In the 90:10 division States, the top three performers are Mizoram, Sikkim and Nagaland and the bottom three performers are Manipur and Assam
In a diverse country like India, where each State is socially, culturally, economically, and politically distinct, measuring Governance becomes increasingly tricky. The Public Affairs Index (PAI 2021) is a scientifically rigorous, data-based framework that measures the quality of governance at the Sub-national level and ranks the States and Union Territories (UTs) of India on a Composite Index (CI).
States are classified into two categories – Large and Small – using population as the criteria.
In PAI 2021, PAC defined three significant pillars that embody Governance – Growth, Equity, and Sustainability. Each of the three Pillars is circumscribed by five governance praxis Themes.
The themes include – Voice and Accountability, Government Effectiveness, Rule of Law, Regulatory Quality and Control of Corruption.
At the bottom of the pyramid, 43 component indicators are mapped to 14 Sustainable Development Goals (SDGs) that are relevant to the States and UTs.
This forms the foundation of the conceptual framework of PAI 2021. The choice of the 43 indicators that go into the calculation of the CI were dictated by the objective of uncovering the complexity and multidimensional character of development governance

The Equity Principle
The Equity Pillar of the PAI 2021 Index analyses the inclusiveness impact at the Sub-national level in the country; inclusiveness in terms of the welfare of a society that depends primarily on establishing that all people feel that they have a say in the governance and are not excluded from the mainstream policy framework.
This requires all individuals and communities, but particularly the most vulnerable, to have an opportunity to improve or maintain their wellbeing. This chapter of PAI 2021 reflects the performance of States and UTs during the pandemic and questions the governance infrastructure in the country, analysing the effectiveness of schemes and the general livelihood of the people in terms of Equity.



Growth and its Discontents
Growth in its multidimensional form encompasses the essence of access to and the availability and optimal utilisation of resources. By resources, PAI 2021 refer to human resources, infrastructure and the budgetary allocations. Capacity building of an economy cannot take place if all the key players of growth do not drive development. The multiplier effects of better health care, improved educational outcomes, increased capital accumulation and lower unemployment levels contribute magnificently in the growth and development of the States.



The Pursuit Of Sustainability
The Sustainability Pillar analyses the access to and usage of resources that has an impact on environment, economy and humankind. The Pillar subsumes two themes and uses seven indicators to measure the effectiveness of government efforts with regards to Sustainability.



The Curious Case Of The Delta
The Delta Analysis presents the results on the State performance on year-on-year improvement. The rankings are measured as the Delta value over the last five to 10 years of data available for 12 Key Development Indicators (KDI). In PAI 2021, 12 indicators across the three Pillars of Equity (five indicators), Growth (five indicators) and Sustainability (two indicators). These KDIs are the outcome indicators crucial to assess Human Development. The Performance in the Delta Analysis is then compared to the Overall PAI 2021 Index.
Key Findings:-
In the Scheme of Things
The Scheme Analysis adds an additional dimension to ranking of the States on their governance. It attempts to complement the Governance Model by trying to understand the developmental activities undertaken by State Governments in the form of schemes. It also tries to understand whether better performance of States in schemes reflect in better governance.
The Centrally Sponsored schemes that were analysed are National Health Mission (NHM), Umbrella Integrated Child Development Services scheme (ICDS), Mahatma Gandh National Rural Employment Guarantee Scheme (MGNREGS), Samagra Shiksha Abhiyan (SmSA) and MidDay Meal Scheme (MDMS).
National Health Mission (NHM)
INTEGRATED CHILD DEVELOPMENT SERVICES (ICDS)
MID- DAY MEAL SCHEME (MDMS)
SAMAGRA SHIKSHA ABHIYAN (SMSA)
MAHATMA GANDHI NATIONAL RURAL EMPLOYMENT GUARANTEE SCHEME (MGNREGS)