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Achieving tenure security is a global challenge impacting cities of the global south. The purpose of this paper is to evaluate the role of technology-enabled solutions as an enabler for the tenure rights of slum dwellers.

In this paper, we adopted a case study approach to analyze the use cases for technologies aiding India’s securitization of land tenure. The flagship state mission of Odisha, named the Jaga Mission, and that of Punjab, named BASERA – the Chief Minister’s Slum Development Program – were used as cases for this paper.

It was found that technologies like drone imagery and digital surveys fast-tracked the data collection and helped in mapping the slums with accuracy, mitigating human errors arising during measurement – a necessary condition for ensuring de jure tenure security. The adoption of a technology-based solution, along with a suitable policy and legal framework, has helped in the distribution of secure land titles to the slum dwellers in these states.

Odisha’s and Punjab’s journey in using technology to enable tenure security for its urban poor residents can serve as a model for the cities of the global south, dealing with the challenges of providing secure tenure and property rights.

The present study deals with the growth performance of export (X), ­import (M), and economic growth (Y) in India over the period 1970–1971 to 2016–2017 as well as tariff (TR) for the period 1990–2017 by employing the methodology of one-time endogenous structural break suggested by Zivot and Andrews (1992). Also, an attempt has been taken to examine the direction of causality between the above-mentioned trade-related variables and economic growth using Granger Causality Test. Results of estimation reveal that all the variables converge toward a stationarity process having constant variability overtime. There exists structural break in the year 1996, 2006, 2008, and 2010, respectively, for economic growth, tariff, imports, and exports. Bidirectional causality is found running from economic growth to tariff and from tariff to economic growth. But there is unidirectional causality from imports to tariff, imports to exports and from exports to tariff.

The purpose of the project is to explore the biosoftening of raw areca nut fibers using two different biological retting methods and assess their impact on fiber properties for improved spinning. The study aims to contribute to the fashion industry’s shift toward sustainability.

The project involves collecting raw brown areca shells, subjecting them to two retting methods (stagnant water retting and changing water daily retting) and then extracting and drying the fibers. Various physical and chemical properties of the fibers are measured to evaluate their suitability for spinning.

The stagnant water retting method, especially the fibers obtained on the second day, showed improved properties in terms of fiber strength, elongation, fineness and cellulose content, making them suitable for spinning applications. The method also resulted in better moisture regain.

The study focused on two retting methods and a limited timeframe. Further research could explore additional techniques and durations. The labor-intensive nature of the daily changing water retting method may have implications for scalability.

The project demonstrates a cost-effective and sustainable method for converting agricultural waste (areca nut husks) into valuable fibers suitable for various end users.

The research supports the fashion industry’s sustainability efforts by promoting the use of eco-friendly natural fibers, potentially benefiting rural farming communities.

The project highlights the innovative use of areca nut fibers and their potential to contribute to sustainable fashion. The stagnant water retting method is presented as a reliable and effective approach for improving fiber properties. Additionally, all fiber testing was exclusively conducted at the South India Textile Research Association (SITRA), with sponsorship from the industry and support from the Ministry of Textiles, Government of India.