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The purpose of the present study is to examine the inter-relationship between the multi-dimensional poverty and water poverty using household level data for Indian states.

A modified water poverty index (MWPI) for both rural and urban households was created using the five components approach and various quantifiable proxies. Principal component analysis (PCA) has been used for the construction of MWPI. Multidimensionality of poverty (MPI) is measured using the Alkire and Foster methodology. Further, the study has utilized correlation and Tobit regression analysis to show the relationship between MWPI and MPI.

The empirical findings suggest that there is a positive and significant relationship between multidimensional poverty and water poverty, with the extent of relationship being greater in rural areas. The results show that in rural areas all the components of water poverty has significant impact on multidimensional poverty, whereas in urban areas except use component all others have significant impact on multidimensional poverty. Further, components of multidimensional poverty were also found to be significantly impacting water poverty.

The study suggests that policymakers cannot treat both forms of poverty in isolation. If India aims to reduce poverty, then it needs to pay significant attention to improving water conditions.

This is a pioneering attempt to construct water poverty index at the household level while accounting for micro-level differences for Indian economy. It highlights that water poverty leads to multi-dimensional poverty and vice-versa.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2021-0731.

The paper analyses the prevalence of extreme and multidimensional poverty in line with the sustainable development agenda. In addition, the paper examines the drivers of extreme poverty while accounting for the potential spillover effect of poverty in the region.

The study adopts the pooled OLS with Discroll-Kraay robust standard errors to control for cross-sectional dependence. In addition, given the strong potential for endogeneity of poverty index, the authors also employ the generalized method of moments (GMM), which accounts for simultaneity and endogeneity problems, and the spatial error and lag models to control for all forms of spatial and temporal dependence since the factors that affect poverty disperse across borders.

The study finds that in addition to the traditional drivers of poverty (unemployment, low per capita GDP growth and public debt), poverty in Sub-Saharan Africa is a symptom of a deeper structural problem (lack of access to water and sanitation, high level of corruption and low level of financial development, and frequent economic busts). Likewise, the results from the spatial econometric specification show, consistently across all the specifications, that there is a substantial spillover effect of poverty across the region.

The main novelty of the paper is that the authors investigate the “economic shrinkage hypothesis,” and examined the potential negative spillover effect of poverty in the region.

This chapter critically examines the causes and effects of continuous poverty in two sub-Saharan African (SSA) countries, despite various poverty alleviation strategies adopted by each country. It reveals the theoretical framework and the accompanying set of programmatic and policy tools for poverty alleviation in SSA.

The current paper aims to present the Scan‐4‐Light study, which was conducted for the systematic scanning and analysis of the Searchlight newsletters as a rapidly growing collection of articles on trends and topics in development and poverty.

Built upon the concept of the systemic foresight methodology, the Scan‐4‐Light approach involves the integrated use of horizon scanning, network analysis and evolutionary scenarios combined with expert consultations and workshops. The study identified the emerging trends, issues, weak signals and wild cards; created high‐value visualisations to emphasize the results and findings; and produced narratives to increase the impact and awareness of the development issues.

The Scan‐4‐Light project has resulted in a large number of specific outputs, providing the views of the Searchlight newsletters' contents at various levels of granularity. It has set out to show how the tools used here can be applied to illustrate the relationships among issues, and how these vary across countries and regions over time, and are linked to various stakeholders and possible solutions to problems.

Scan‐4‐Light demonstrates how foresight tools and techniques can be used for the analysis of complex and uncertain issues, such as development and poverty, in a systemic way.

The Scan‐4‐Light approach can be applied in a number of areas for scanning and identifying emerging trends and issues, and understanding the relationships between systems and solutions.

The paper gives evidence that most of the issues, if not all, related to development are not isolated, but interlinked and interconnected. They require more holistic understanding and intervention with an effective collaboration between stakeholders.

A demonstration of a novel scanning approach is presented in the paper.

Water‐induced hazards and disasters are usually compounded by the mismanagement of local water resources. Since the community bears the burden of disaster and is the first responder to the event, it is imperative to build the capacity of the community to enhance their coping mechanism and resilience to prepare for and face the disaster. The best strategy for the immediate as well as the long term cost‐benefit and pro‐environmental implications that will ensure prevention, mitigation and rehabilitation of water‐induced disaster is to ensure strong community participation. This paper elucidates the different forms of community participation and their comparative advantages in a socio‐economic dimension, thereby poverty alleviation. Agencies’ roles are analyzed in response to community participation. It is hoped that these theoretical and practical tips will benefit both community and agencies to work out better performances in advance.

As climate change impacts residential life, people typically use heating or cooling appliances to deal with varying outside temperatures, bringing extra electricity demand and living costs. Water is more cost-effective than electricity and could provide the same body utility, which may be an alternative choice to smooth electricity consumption fluctuation and provide living cost incentives. Therefore, this study aims to identify the substitute effect of water on the relationship between climate change and residential electricity consumption.

This study identifies the substitute effect of water and potential heterogeneity using panel data from 295 cities in China over the period 2004–2019. The quantile regression and the partially linear functional coefficient model in this study could reduce the risks of model misspecification and enable detailed identification of the substitution mechanism, which is in line with reality and precisely determines the heterogeneity at different consumption levels.

The results indicate that residential water consumption can weaken the impact of cooling demand on residential electricity consumption, especially in low-income regions. Moreover, residents exhibited adaptive asymmetric behaviors. As the electricity consumption level increased, the substitute effects gradually get strong. The substitute effects gradually strengthened when residential water consumption per capita exceeds 16.44 tons as the meeting of the basic life guarantee.

This study identifies the substitution role of water and heterogeneous behaviors in the residential sector in China. These findings augment the existing literature and could aid policymakers, investors and residents regarding climate issues, risk management and budget management.

The purpose of this paper is to study the living conditions in ten capital cities in Latin America to propose indicators that could help to quantify the sustainability of those capital cities, and its impact over the competitiveness of a country.

It is proposed a linear model summing the score of ten quantifiable indicators and according with the result categorize the capitals as “sustainable city,” “weak sustainability” and “threatened sustainability.”

There is a good relationship between the sustainability of the city and the competitiveness of the country. This is the case of Mexico City, Buenos Aires, Santiago, followed by Lima, La Paz and Bogotá a similar result to the rank obtained by Mckinsey Global Institute (2011a, b). It is found that the four capitals categorized as “sustainable” have the highest potable water production, but it was not define a direct correlation between a country’s competitiveness and the development of important medium-sized cities.

Limited availability of comparable information for the capital cities.

The results identified the need to improve specific services and conditions of the inhabitants.

The capital cities concentrate the majority of the population of the countries reaching one-third of the total in four out of the ten cities evaluated.

The study presents selected indicators not in use to classify the cities sustainability.

The contradiction between the purpose of the water-splashing tradition, the use of water in a water-stressed destination and overconsumption during a time of water shortage led the researchers to question the spirit of the Songkran Festival. It is important to keep the spirit of the festival alive without interrupting the livelihoods of the community and to critically engage with opportunities and challenges related to water-saving practices during the festival. Thus, this study aims to investigate the opportunities and challenges to responsible practices of water-saving at a cultural festival, using a case study of the water-splashing practice at the Songkran Festival in Thailand.

This study used the cultural practice, namely, the water-splashing tradition at the Songkran Festival in Thailand, as a case study. The researchers conducted document analysis on local newspapers, the Bangkok Post specifically and participant observation at the Songkran Festival in the Khao San Road area in Bangkok, to gain first-hand insights to develop comprehensive results which answers the study’s objectives.

The key findings show three significant themes representing the opportunities for implementing sustainable water-saving practices; a call for a water-saving campaign, education on water saving and water-splashing restrictions. In terms of challenges to implementing water-saving practices, two key themes emerged; a lack of water stress and drought awareness and the hedonistic characteristic of water splashing. The study findings provide important implications to theory and practice for sustainable event management and provide considerations for event stakeholders to minimise water overuse in festivals.

Environmental degradation is a key global issue that the United Nations addresses in the Sustainable Development Goals (SDGs) scheme (United Nations Development Program, 2016). According to Pereira et al. (2009), water scarcity can be caused by both human activities and natural causes. Factors such as unlimited water consumption, population growth and climate change are some of the contributing factors that not only affects resident's access to water but also on events hosted within communities. It is crucial that event managers critically re-think the way festivals are designed in water-stressed destinations.

The study aims to evaluate the long- vs short-run relationships between crops' production (output) and crops' significant inputs such as land use, agricultural water use (AWU) and gross irrigated area in India during the period 1981–2018.

The study applied the autoregressive distributed lag (ARDL) bounds testing approach to estimate the co-integration among the variables. The study uses the error correction model (ECM), which integrates the short-run dynamics with the long-run equilibrium.

The ARDL bounds test of co-integration confirms the strong evidence of the long-run relationship among the variables. Empirical results show the positive and significant relationship of crops' production with land use and gross irrigated area. The statistically significant error correction term (ECT) validates the speed of adjustment of the empirical models in the long-run.

The study suggests that the decision-makers must understand potential trade-offs between human needs and environmental impacts to ensure food for the growing population in India.

For a clear insight into the impact of climate change on crops' production, the current study incorporates the climate variables such as annual rainfall, maximum temperature and minimum temperature. Further, the study considered agro-chemicals, i.e. fertilizers and pesticides, concerning their negative impacts on increased agricultural production and the environment.