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COVID-19 not only has impacted adversely the health infrastructure, taking away lives of millions of people but it has also crippled the economy. The worst effected were food supply chain due to restrictions imposed on operations of shops and retail outlets. The consumers were suffering due to lack of supply. Similarly, agriculture produce were getting wasted due to lack of cold storage.

In this case we have proposed how a mobile-based application solution during COVID lockdown can successfully transform the livelihood of rural farmers in the state of Maharashtra (India), a state worst affected by the pandemic.

The technology-integrated supply chain model jointly developed by financial institutions, self-help groups (SHGs) and NGOs has enabled direct selling of fresh produces by rural women farmers to urban large residential societies at their doorsteps. It has provided a solution of municipality waste management by converting the waste to compost, getting them collected and used in the farmlands.

It will help the urban consumers to have the continuous supply of fresh vegetables and fruits available at their doorsteps, and keep a track of transport of foods from farm to fork. The farmers will be able to get better price for their produce. The model will also contribute towards circular economy (CE) through citizen partnership.

This chapter deals with an important but neglected aspect of female labor force participation (FLFP) in urban India. Contemporary literature typically focuses on the entire urban sector and ignores one important aspect of urban living – the slums and its dwellers. This study fills that critical gap by examining two different household surveys side-by-side: a primary survey of households living in slums and slum-rehabilitated colonies, and the nationally representative Indian Human Development survey-II. This study brings outs a comparative picture of nature/type of FLFP and its various correlates from both slum and non-slum areas of three metro cities of India, viz. Delhi, Kolkata and Mumbai. It further explores the similarities and the differences of the correlates for FLFP among the slum clusters of these cities. It is found that despite being poorer and marginalized, the slum dwelling women’s LFP rate is not extra-ordinarily high vis-á-vis their non-slum urban counterparts. In slums, a higher proportion of women are engaged in self-employment (including family business) and casual employments (includes domestic helps), whereas in non-slum areas relatively more women are engaged in regular salaried jobs. Regression analysis identifies correlates that have similar effects, but with different intensity, across-the-board – relationship between education and FLFP reflects a flat-bottom J-shaped pattern; being married, higher child dependency ratio and household heads with higher education significantly constrain women’s work choice; strong income effect of other household members earning on FLFP, but asset holding has no bearing. However, there are other factors that affect FLFP differently in slums and non-slum areas. Policy prescriptions are drawn.

The southwest coastal region is part of an inactive delta of large Himalayan rivers and is protected from tidal surge by the Sundarbans mangrove forest. This area is the hub of all types of disasters such as cyclones, tidal surges, floods, drought, salinity intrusions, repeated waterlogging, and land subsidence. Cyclonic tidal surges and floods are the more common disasters, and their effects are frequently experienced at the local level. But silent and invisible disasters such as increased salinity, arsenic contamination, and drought affect local livelihoods, people, and environments in this region. The vulnerability of southwest region to increased salinity, arsenic contamination, and drought are the result of a complex interrelationship among biophysical, social, economical, and technological characteristics of the country. Moreover, in the current and foreseeable future, the country is likely to be affected by the biggest, most long-lasting, and global scale but silent disaster: increased salinity, natural arsenic contamination, and drought. Therefore, this region is thought to be the most disaster-prone region in Bangladesh because of natural disasters and highly vulnerable to the effects of climate change.