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Green hydrogen can be the transitional solution required to reduce anthropogenic emissions and enhance energy independency from fossil fuel. To improve green hydrogen adoption, a cluster-based infrastructure, called a hydrogen hub, is devised taking into account the demand-supply interplay coupled with transport ease. In this paper, we have identified sites across states that are conducive for hydrogen hubs. It involves a multicriteria decision-making (MCDM) framework deployed to assign priorities within competing set of criteria. A comprehensive analytical hierarchy process (AHP) is used to rank criteria that are connected to establish a functioning hydrogen hub. These criteria include, but not limited to, proximity to refineries, fertilizer plants, substations, chlor-alkali units, steel manufacturing plants, water availability, access to gas pipelines, railway line access, and finally distance to highways. Our analyses indicate that proximity to refineries and fertilizers scored higher (scores directly proportional to importance) while railway line access scored the least. These prioritised scores are used to spatially locate sites using geographical information system. In a total of thirteen states identified, Gujarat had the largest parcel of most suitable land for setting up hydrogen hub followed by Maharashtra and Andhra Pradesh. For India to set up a functioning hydrogen economy and achieve green hydrogen goals, it is important to identify states that can drive the agenda forward. This paper illustrates a way (amongst many available ways) to identify states based on their strength and capability to fulfil the national goal of 5 million tons of green hydrogen by 2030. • The paper addresses setting up of green hydrogen hubs in India based on a multi-criteria site selection framework. • Nine selection criteria covering aspects of hydrogen ecosystem proposed to identify site(s) suitable for hydrogen hubs. • Integration of AHP and GIS is used to ascertain land parcels where hydrogen economy can sustain across states in India. • Zones in 13 states were identified as potential hydrogen hubs. [ABSTRACT FROM AUTHOR]

This paper examines the portfolio carbon footprint of Indian banking system. To this end, we combine the emissions data from India's Biennial Update Reports to UNFCCC and Reserve Bank of India's bank database from 2010 to 2016; apply Network for Greening the Financial System's backward-looking methodology and Partnership for Carbon Accounting Financials Standards in conjunction with Leontief's Input-Output technique to estimate the weighted average carbon intensity (WACI) of bank's loans portfolio at three levels – System level, Bank group level and Spatial level. Our major findings include-first, at system level, the carbon footprint of Indian banks shows a rising trend over the study period with the aggregate WACI of bank loans increasing by 9.4% from 332.5 tCO 2 e/US$ million in 2010 to 363.7 tCO 2 e/US$ million in 2016. Second, at the group level, while the financed emissions of public sector banks have plateaued, for private sector banks they have nearly doubled during the study period, suggesting the increased exposure to carbon intensive assets. Third, on the spatial level, top five regions by WACI include Delhi, Maharashtra, Gujarat, Tamil Nadu, and Telangana in descending order. • First study to estimate carbon footprint of bank loans for India. • Combines environment input-output analysis with PCAF standard. • Analyses carbon footprint at three levels – system level, bank group level and spatial level. • Carbon footprint of Indian banks show a rising trend over the study period. • Financed emissions of public sector banks plateaued, of private sector banks doubled. [ABSTRACT FROM AUTHOR]

Even after 35 years of the National Leprosy Eradication Program (NLEP) and 15 years post-elimination, leprosy continues to be a public health challenge in India. This paper discusses the current awareness of leprosy among people living in urban slums of western Maharashtra. The study was conducted in an urban slum of western Maharashtra with 400 participants. A closed-ended questionnaire regarding the knowledge, attitude, practices, and stigma existing among the people was administered, followed by a small awareness talk and screening for leprosy. Of the total 400 participants, 205 (51.25) were females and 195 (48.75) were males. Only 154/400 (38.5%) people were aware of leprosy. 130/400 (32.5%) people thought that it is treatable; however, 71/130 (54.6) of them thought that it would recur even after completing the treatment. Only 103/400 (25.75) said that they would marry a person with leprosy, denoting prevalent stigma in the society, and 79/400 (19.75) were aware of government services for leprosy and NLEP. Screening of all the participants surveyed did not reveal any new or doubtful cases of leprosy. The present study shows a lack of awareness and knowledge of leprosy among the target population. With only 20% of them being aware of government services and the NLEP, combined with an extremely low knowledge about the disease; it shows the need to further augment the government programs. There is also an increasing need to educate people to accomplish a positive attitude of the community towards leprosy patients. [ABSTRACT FROM AUTHOR]

[Display omitted] • Indian electricity demand reduced by 11 % vis-à-vis 2019 during the lockdown. • Sectoral demand reduction—73 % industrial, remaining 27 % commercial. • Pan India lights-off event—hydropower provides the bulk of the flexibility (60 %). • The plant load factor of coal dropped to a record low of 35 % during phase-1. • Power sector emissions reduced by 16 % (86 MtCO2) compared to 2019. This paper aims to understand the responsiveness of the power sector during the lockdown due to the COVID-19 pandemic beginning from March 25, 2020 and analyses its impact on the demand, operation and supply of electricity in the Indian power system. The role of the C&I load share in reducing the electricity demand of the different states in India has been examined using multi-sectoral regression analysis. The impact of the pan India lights-off event on the short-term operational flexibility response of the power system has also been analysed using high-temporal resolution data. The results indicate that there has been a reduction of nearly 70 TWh of electricity demand during the lockdown period, an 11 % reduction compared to 2019. The top three states recording the highest reduction were Maharashtra, Gujarat and Tamil Nadu at 11 TWh, 10.6 TWh and 8.4 TWh, respectively. Regression analysis revealed that out of the total drop in load demand — 73 % is owed to the industrial sector, while the remaining 27 % is to the commercial sector. This demand drop also impacted the upstream electricity supply mix where 96 % of the reduction in supply was borne by the coal generating units, recording its lowest national plant load factor at 35 % with a 16 % reduction in overall CO 2 emission compared to the same period in 2019. In conclusion, a case study of Maharashtra has been used to analyse the impact of this reduction in electricity demand on the supply mix, hourly load profile and cost of supply under the different lockdown phases. [ABSTRACT FROM AUTHOR]

CONTEXT Access to information is crucial in decision making for viable and sustainable farm business. Thus, the farmers need different types of information from various sources to refine existing practices and adopt new technologies for yield and income advantages. Knowledge about farmers' information needs, access and its impact in different production contexts help in improving the effectiveness of extension and advisory services in the country. This paper examines the farmers' information needs, access to information from different sources and its impact on cotton output and value of output in two different regions having predominantly rainfed and irrigated production contexts. Household level survey data of 644 cotton farmers were collected using multistage sampling from two districts representing distinct production contexts in the Maharashtra state of India. Factors determining the access to information from particular sources were obtained using the Probit model. The impact of access to information was estimated using Inverse Probability Weighted Regression Adjustment (IPWRA). The information needs of the farmers from the two regions were slightly different. In the Jalgaon district with predominantly irrigated cotton production, farmers receiving information from at least one formal source had a significant positive impact on cotton output and the value of output per unit area. While considering each formal information source separately, heterogeneity in impact was observed. Access to information from public sources and mass media had a significant positive impact on cotton output. Mass media sources played a significant role in increasing the value of output per unit area. Despite government and other agencies' efforts and better access to information in predominantly rainfed areas (Yavatmal district), information received by farmers could not produce the desired impact. It necessitates appropriate tailoring of information, specific for these regions; as general information failed to produce much impact. This is a holistic study about information dynamics in agriculture, covering information need to its impact in two different cotton producing regions. The study reflects the heterogeneous impacts of access to agricultural information considering different sources. It suggests the importance of region specific customization of agricultural information and emphasizes more role of public sources in provision of market intelligence. Study advocates efforts to effectively channelize agro-advisories through Farmer Producer Organizations (FPOs) and Information Communications Technology (ICT) sources. [Display omitted] • The impact of access to information on cotton output and value of output was estimated in two different production regions. • The educational level of the farmers was a major determinant of access to information from various formal sources. • In a predominantly irrigated production region, access to information from at least one formal source had a positive impact. • A heterogeneous impact of access to information from different sources was observed. [ABSTRACT FROM AUTHOR]