Search results

The study unravels the effects of climate-induced variations in staple crop yields on various migratory inflows in India while adjusting for seasonal weather and sociodemographic factors.

The instrumental variable approach is used to assess the potential effects of climate and nonclimate parameters on various migration types, exploiting panel data at the district level from the 2001 and 2011 Census years, with agriculture acting as the mediator.

As weather-driven variations in rice and wheat yield increase by 10%, the share of migration within and between districts to population decreases by 0.017 and 0.002, respectively. However, rice and wheat yields increase by 494.60 and 524.40%, respectively, with a marginal increase in the share of migration within states to population. Also, the elasticities of disadvantaged groups, literate locals and agricultural workers vary for different relocations.

The current study affirms climate migration through the agricultural channel at a finer spatial scale, asserting the sensitivity aspect of disparate movements to periodic weather and heterogeneous clusters. This is critical for effectively implementing targeted public policies in the face of increasing climate risks.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-10-2022-0710

The purpose of this paper is to study the impact of mining on the livelihood of the inhabitants of Keonjhar district in Odisha, through creation of physical and financial capital using the sustainable livelihoods framework.

Principal component analysis technique and discriminant analysis were used to assess the impact of mining on the financial capital. A cross-tabulation analysis with χ²-test has also been carried out to find its impact on physical capital.

The study reveals that though iron ore mining helps in the augmentation of financial capital of the households, its impact on physical capital is mixed. Households in mining villages enjoy higher average annual and per capita income than those in nonmining villages. There is also a significant difference in the financial capital index of mining and nonmining villages. Even owning of physical assets like TV and motorcycle is significantly higher in mining villages than its nonmining counterparts. But mining has failed to develop the infrastructural facilities and has rendered most of the agricultural land uncultivated.

It is difficult to sustain the benefits arising out of mining over long run due to its finite life span and calls for policy interventions that can lead to sustainable livelihood to the local inhabitants.

The study aims to explore the enablers and barriers to the adoption of circular economy (CE) practices in micro, small and medium enterprises (MSMEs) and examine how these factors differ between developed and developing countries.

The research uses a systematic literature review (SLR) methodology to identify key enablers and barriers to CE adoption in MSMEs. The SLR process involved a detailed search and analysis of relevant academic articles from the Scopus and Web of Science databases, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure transparency.

The study identifies 19 enablers and 16 barriers to CE adoption in MSMEs. Technological upgrades are the key factor helping MSMEs successfully implement CE practices, while financial constraints are the main challenge they face, according to studies from both developed and developing countries.

This research contributes to the existing body of literature by not only identifying the primary factors that either support or impede the implementation of CE by MSMEs but also by classifying them according to developed and developing countries to provide policymakers and MSME stakeholders with valuable insights on enhancing the implementation of CE in both countries by taking into account the particular barriers and enablers faced by each group individually.

The aim of this study is to examine the impact of foreign direct investment (FDI) inflow and information and communication technology (ICT) on the economic performance of India by analysing annual data from 1991 to 2019.

This study has used data collected from secondary sources. The variables considered for the analysis are based on the review of theoretical and empirical literature. Moreover, apart from the quantitative variables, two qualitative variables have also been considered through the use of dummy variables. The Cobb–Douglas, Transcendental logarithmic and Simultaneous equations models have been used for the study.

The result reveals that the partial elasticities of the per-capita gross domestic product (PCGDP) of India with respect to FDI, mobile density (MD) and internet density (ID) are 0.074, 0.024 and 0.036, respectively. The positive and significant coefficient of the interaction among FDI, MD and ID in the estimation of the transcendental logarithmic function indicates the importance of ICT infrastructure in extracting the best out of FDI (the coefficient is 0.011 for the model without any control variables and it is 0.005 with control variables).

The findings of this study are more reliable as the latest available data have been analysed through the appropriate econometric models. This study will be useful for the policymakers in the formulation of policies with regard to foreign capital and digitalisation.

This paper aims to examine the convergence in per-capita income (measured as per-capita net state domestic product) of regions in India during the period 1990–1991 to 2017–2018. Two separate analyses have also been done for the sub-periods, i.e., 1990–1991 to 2003–2004 and 2004–2005 to 2017–2018, to find out the effect of the second phase of economic liberalization in India.

In a panel data study, the estimation of absolute and conditional beta (β)-convergence and sigma (σ)-convergence across 17 Indian regions have been done. To measure the dispersion of per-capita income across the regions in India, the standard deviation of logs, Gini coefficient, Mehran measure, Piesch measure, Kakwani measure and Theil index have been estimated. In addition to this, these indices have been regressed over time.

This study finds the presence of absolute and conditional β-convergence; the regions with low initial per-capita income have grown faster than the regions with high initial per-capita income. Further, this study finds that foreign direct investment (FDI) inflow and the availability of power enhance growth across regions. However, this study finds the presence of σ-divergence, which indicates that the economic inequality among the regions in India has widened over the periods, calling for policy interventions to promote growth in the backward regions through the promotion of FDI inflow and the availability of power.

This study highlights the rising economic inequality among the regions in India by analyzing the latest available data through appropriate econometric techniques.

This study aims to assess the recreational value of the National Chambal Sanctuary highlighting the potential benefits of conservation and the need for sustainable practices.

This study uses the Individual Travel Cost Method to evaluate the expenses of individuals visiting the National Chambal Sanctuary.

The study reveals that the National Chambal Sanctuary has a significant recreational value, with an average visitor value of INR 35,335.69 or USD 434 and an annual value of INR 132,473,501.81 or approximately USD 1.62m, indicating substantial economic contribution.

The study's limitations may stem from data collection constraints, visitor reporting biases or other factors affecting estimates' accuracy. Future research could explore socio-economic factors or factors affecting low tourist inflow in India's protected areas (PAs).

This study suggests raising entrance fees for the National Chambal Sanctuary to ensure financial sustainability, based on its high recreational value and average consumer surplus. This has practical implications for policymakers, conservationists and the tourism industry.

The study underscores the significance of protecting PAs like the National Chambal Sanctuary, suggesting that public attitudes towards biodiversity conservation can be influenced by highlighting its economic and recreational value and promoting awareness of its significance.

The study evaluates the recreational value of a wildlife sanctuary in India, offering insights into conservation's economic benefits and sustainable practices and promoting further research.

The purpose of this paper is to explore the barriers to sustainable tourism management (STM) implementation in a protected area (PA) of a developing country, India, by taking a case study of National Chambal Sanctuary (NCS).

This study develops a framework to analyse the interaction among a set of barriers of STM using the interpretive structural modelling approach.

In this study, 16 relevant barriers responsible for the failure of STM in Indian scenario have been selected. The lack of coordination among various stakeholders and the lack of government incentives are found as the most significant barriers among the selected barriers of STM implementation in the sanctuary.

This study provides most influencing barriers and how these barriers hinder the sustainability efforts in NCS. The study’s main limitation is its generalisation. The problems in implementing sustainable practices may differ with the region.

This study provides strong practical inferences to both practitioners as well as academicians. The practitioners are suggested to focus on identified barriers and formulating strategies to achieve sustainability in the tourism sector. Academicians may propose the solutions and necessary interventions for identified barriers.

Identification and presentation of barriers to STM implementation in the context of a PA are rare to find in literature.