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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.

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 paper investigates the effects of climate change along with ecological and carbon footprint on rice crop production in India during 1982–2016.

The autoregressive distributed lag (ARDL), canonical cointegration regression (CCR) and fully modified ordinary least square (FMOLS) models are used in the paper.

A long-run relationship is found between climate change and rice production in India. Results report that ecological footprint and carbon footprint spur long-term rice production. While rainfall boosts rice crop productivity in the short term, it has a negative long-term impact. Further, the findings of ARDL models are validated by other cointegration models, i.e., the FMOLS and CCR models.

This study provides insights into the role of ecological footprint and carbon footprint along with climate variables in relation to rice production.

In the literature, the effects of ecological and carbon footprint on rice production are missing. Therefore, this is the first study to empirically examine the impact of climate change along with ecological footprint and carbon footprint on rice production in India.

The paper aims to examine the effects of floods on economic growth in India from 1980 to 2019, taking into account the role of foreign direct investment (FDI) inflows and foreign aid.

The study uses augmented Dickey–Fuller (ADF) and Phillip–Perron (PP) tests to determine the stationarity of the variables. Several models, including autoregressive distributed lag (ARDL), fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS) and canonical cointegration regression (CCR), are used to examine the impact of floods on economic growth.

The bounds test determines the long-term relationship between floods, FDI inflows, economic growth and foreign aid. According to the ARDL and FMOLS models, floods have a negative long-term and short-term impact on India’s economic growth. Furthermore, FDI inflows and foreign aid are beneficial to economic growth. The findings of the ARDL and FMOLS models are confirmed by the DOLS and CCR models. Granger causality establishes a unidirectional causality that extends from floods to economic growth. Further diagnostic tests show that the estimates are free of heteroskedasticity, serial correlation and parameter instability.

Indian government needs to invest more in research and development on flood management techniques. Institutional strengthening is also required to implement pre- and post-flood prevention measures properly. Sound disaster financing strategy and proper water bodies management should be prioritised. Foreign investment opportunities should be encouraged by strengthening international relations.

This is the first time-series study that analysed the effects of floods on economic growth in India. Moreover, the paper contributes to floods literature by applying several econometric models for robustness check.

This paper aims to identify, analyze and evaluate the major enablers for the sustainable public distribution system (PDS) supply chain in India in lessening food insecurity by distributing essentials food grains at a subsidized rate.

The major enablers for the sustainable PDS supply chain were explored by conducting the literature survey and discussion with academic and warehouse experts. Then, the fuzzy-DEMATEL (decision-making trial and evaluation laboratory) technique was applied to develop a causal model that analyses the interaction among the identified enablers.

This study recognizes fifteen enablers through literature survey and experts' opinions. The present work concludes that “proper identification of the PDS beneficiaries” and “willingness and commitment of the top management and policymaker” are the two major enablers for the sustainable PDS supply chain.

This work would be helpful for profoundly understanding the major enablers, and how they are affecting the entire PDS supply chain. The study would be beneficial for the general people and the entire society straightforwardly by providing suggestions for food security.

Identifying and analyzing the major enablers for the sustainable PDS supply chain helps to visualize the problem more effectively and efficiently. Besides, the causal model explains a comprehensive perspective on the identified enablers.

This study aimed to investigate the effect of sustainability committee (SC) characteristics (size, independence, the number of meetings, and expertise) on corporate social responsibility (CSR) performance in the Indian context.

This research measures the CSR performance of 60 Indian non-financial firms listed on the Bombay Stock Exchange (BSE) over the period 2014 to 2019 using the ASSET4 environmental, social, and governance database. The authors resorted to fixed-effect panel regressions to capture the individual effect present in the data.

The results show that CSR performance is positively and significantly influenced by SC independence, size, and expertise. However, the number of SC meetings does not affect CSR performance. The results also demonstrate that CSR performance is positively and significantly associated with board independence.

This paper adds to the existing literature by examining the effect of SC characteristics on the firms' CSR performance in India as one of the oldest stock markets in the world, which would help test the validity of the agency and stakeholder theories in an old and big emerging market context.

The findings allow managers to understand the mechanisms affecting CSR performance and how the characteristics of the SC can participate in its growth and development. Moreover, this study has implications for researchers, suggesting that future CSR studies should take into account the SC characteristics as potential determinants that explain CSR, such as CSR activities and CSR practices and strategies.

The present research contributes to the literature by investigating the effect of SC characteristics on the firms' CSR performance, thereby providing additional evidence on the issue. Several previous studies have examined the link between corporate governance and CSR performance with a focus on external oversight mechanisms, namely institutional ownership or analyst coverage or internal oversight mechanisms, such as board gender composition, board independence, separation of board Chairperson and CEO roles, and the existence of SC on the board, but these studies did not examine the SC characteristics. The present research fills the gap.