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The aim of the paper is to examine the status and determinants of financial inclusion in India by using the recent micro-level survey data.

The authors construct a multidimensional financial inclusion index to measure the status of financial inclusion in the selected 17 states of India. Subsequently, the authors use the probit model estimation to examine the determinants of all financial inclusion indicators.

The authors find that southern and north-eastern states perform better in the overall financial inclusion index. In contrast, states like Odisha, Madhya Pradesh, Chhattisgarh, Rajasthan and Uttar Pradesh lag behind. The estimated result shows that the probability of being financially included is higher among urban, richer, educated and salaried individuals. Further, the findings indicate the lower penetration of bank branches and ATMs in the rural parts of the country.

While numerous studies have explored financial inclusion from a macro-level perspective, there exists a notable gap in the literature at the micro-level. This paper aims to address this gap and contributes to the existing literature in two ways. Firstly, it uses the recent micro-level survey data to construct a multidimensional financial inclusion index for the selected Indian states. Secondly, it examines individual-level attributes as the determining factors of financial inclusion, which has been overlooked in India.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0162

The purpose of this research is to eliminate the problems like modification of data related to patient without patient’s consent, management of patient's profile and any type of miscommunication between the specialist.

A novel approach is designed to overcome the problem of disease overlapping. To this end, Blockchain technology is utilized due to its numerous benefits.

The simulation of the model is done in R-studio, and the results are determined for the difficulty level in terms of time taken to create specific block. The outcome showed the effectiveness of the proposed Blockchain technology.

The approach discussed in this article is a novel approach that shows the effectiveness of Blockchain technology with modification of patients’ data without his/her will, management of patient profile with latest data, and elimination of any type of miscommunication between the specialists.

Investments in agricultural research and development (AgR&D) have been an engine of agricultural productivity growth; as a result, food security and poverty situations have improved in many countries around the world. However, in Haiti, a small Caribbean country, neither has any formal agricultural research center (ARC) been established nor has a significant amount of money been invested for AgR&D. This paper aims to quantify whether setting up an ARC would be beneficial for Haiti.

A fixed-effects regression, the International Model for Policy Analysis of Agricultural Commodity and Trade impact and benefit – cost ratio (BCR) measures are used to estimate future benefits from setting up a new ARC in Haiti.

A total of US$21.0m annual investment is required for the proposed ARC, which could generate up to US$1.16bn in social benefits during the next three decades. In terms of BCR, if one dollar is invested for AgR&D in Haiti, the payoff could be US$1.33-4.52. Therefore, establishing an ARC is crucial for Haiti, as it is expected to generate positive benefits for society by helping formulate pro-farmer policies as well as disseminating modern agricultural technologies among farmers.

Because, to the best of the authors’ knowledge, there is no such study in Haiti’s perspective, this study contributes to the country’s literature evaluating the feasibility of establishing a new research center in Haiti with a partial equilibrium economic model.