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The purpose of this study is to determine whether causal asymmetries exist between energy consumption and three dimensions of financial development in Jamaica.

The authors use the non-linear autoregressive distributed lag method to identify the long- and short-run associations between energy consumption and different measures of financial development in Jamaica for the period 1980 to 2018.

There are two central findings. First, cointegrating relationships run from the dimensions of financial development to energy consumption. Second, the authors find asymmetries in these relationships. In the long run, asymmetries are such that rising levels of financial development have a neutral impact on energy consumption. By contrast, falling levels of financial development in the long run are associated with increases in energy consumption. In the short run, the authors find evidence of asymmetries only in changes in the overall level of financial development on energy consumption.

One practical implication is that for Jamaica to avoid some of the potential negative environmental consequences resulting from the positive impact on energy consumption arising from falling levels of financial development, a strong financial development policy will be important.

There will be positive social impacts from financial development in the area of climate finance.

To the authors’ knowledge, this is the first study on Jamaica that examines the financial development–energy nexus. Further, the authors use relatively new and comprehensive measures of financial development.

This study was conducted to analyse the socio-ecological problems faced by the Suhelwa Wildlife Sanctuary and understand its potential and challenges for developing ecotourism following Triple Bottom Line (TBL) principles. The study also benchmarked best ecotourism practices across the globe to create an ecotourism plan that would provide alternative livelihood and help in sustainable management of the area by reducing poverty, dependency on forests and biodiversity protection.

Suhelwa Wildlife Sanctuary was chosen because this area has several socio-ecological crises with limited livelihood options, and there is an urgent need for alternative livelihood opportunities in the form of ecotourism. The study followed an ethnographic approach through observation, participant observation, and semi-structured interviews. Content and thematic analysis was conducted through Atlas Ti9.0 software for data analysis. Subsequently, benchmarking best ecotourism practices through a literature review was done to develop an ecotourism action plan.

The First finding was related to the study area divided into three themes: problems, potential for ecotourism development, and challenges for ecotourism development. The second finding was related to benchmarking best practices and suggesting an action plan.

This work studied an area not sufficiently acknowledged by academicians and policymakers concerning ecotourism development. The work also benchmarks the best practices for ecotourism and proposes a sight-specific ecotourism action plan in accordance with TBL.

The impact of COVID-19 has caused a recession in economies all over the world. In this context, the current study aims to analyze the prevailing economic scenario using a machine learning approach and suggest sustainable measures to recover the global economy taking the case of Make in India (MII) initiative of developing the economy as a base for the study.

A well-known topic modeling technique – Latent Dirichlet allocation (LDA) algorithm has been employed to extract useful information characterizing the existing state of selected sectors under the MII initiative alongside catalytic policies that have been implemented for the same. The textual data acts as the base of the study upon which suggestions are provided.

The findings obtained suggest that digital transformation will play a key role in concerned sectors to optimize the performance of manufacturing organizations. Additionally, inter-relationship between Key Performance Indicators for the economy's revival is crucial for effective utilization of foreign direct investment resources.

The novel efforts to utilize MII initiative as a case present crucial information which can be used by policy makers and various other stakeholders across the globe to enhance decision-making and draft legislation across different sectors to empower the economy.

The study presents a novel approach to utilize the MII initiative by identifying important measures for crucial sectors and associated policies that have been presented by employing a text mining approach which in itself makes it unique in its contribution to research literature.