Unprecedented and chaotic growth of cities results in reducing open spaces and water bodies, worsening infrastructure facilities and changes in ecological morphology. This unregulated growth of the urban population led to uneven distribution of urban amenities, facilities and healthcare services. Considering this, the study aimed to draw attention to the existing spatial pattern of healthcare facility centres as well as to find out the possible sites for the provision of healthcare facility centres in the municipal ward (micro-scale) of Midnapore town. This prototype study was conducted using Analytical Hierarchy Process (AHP) and Ordinary Least Square (OLS) evaluation model based on various criteria through Arc GIS environment. The findings indicate that the spatial distribution patterns of existing public healthcare centres were significantly dispersed. Weights based on a set of criteria were calculated by AHP and OLS algorithm and generated suitability evaluation maps classified from 1 (poor suitable) to 4 (most suitable). According to the employed criteria in this study unveil those existing hospitals and primary healthcare centres have not been located in the appropriate locations. The model is found to be valid for the given study area and there is no significant difference between AHP and OLS results. Further, it can be used for preparing the suitability map for the other areas with similar geo-environmental conditions for the proviso of healthcare services as well as will be most effective in preventing disease progression and reducing healthcare inequality on a large scale. Supplementary Information The online version contains supplementary material available at 10.1007/s10708-021-10528-w.

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This research investigates the effects of electricity consumption (major independent variable), per capita income, real exchange rate, import and export on manufacturing output by using yearly time series data for the period of 1980–2016 with regard to 10 late industrialized nations. The ARDL bound testing approach, the way to deal with cointegration is applied to estimate the long-run connection between the variables. While, error correction method (ECM) is used to find the short-run dynamics. To test the causality among the variables, Toda-Yamamoto test is performed. The results demonstrate the existence of short-run and long-run relationship among the variables and Toda-Yamamoto causality results support the existence of growth, conservation, feedback and neutrality hypotheses for different nations. The difference in the results can be attributed to structural and macroeconomic parameters. In general, this research brings out a fresh lead of knowledge for late industrialized nations to strengthen their economic development through proficient utilization of energy consumption.

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The International Food Policy Research Institute (IFPRI), established in 1975, provides evidence-based policy solutions to sustainably end hunger and malnutrition and reduce poverty. The Institute conducts research, communicates results, optimizes partnerships, and builds capacity to ensure sustainable food production, promote healthy food systems, improve markets and trade, transform agriculture, build resilience, and strengthen institutions and governance. Gender is considered in all of the Institute's work. IFPRI collaborates with partners around the world, including development implementers, public institutions, the private sector, and farmers' organizations, to ensure that local, national, regional, and global food policies are based on evidence.

The 485-km-long coastline of Odisha, a state in the northeastern part of the Indian peninsula, is potentially vulnerable to several disaster events that take place frequently. In addition to threats due to natural hazards, these coastal regions also face immense population and developmental pressures. The increase in the intensity and frequency of cyclones and accelerated sea level rise related to increased sea surface temperature have led to flooding, coastal erosion and shoreline retreat causing damage to coastal ecosystems and resources in these regions. In recognition of these risks, the present work demonstrates a GIS-based approach to assess the vulnerability of the 187-km stretch from Puri to Konark out of the total 485-km coastline using analytical hierarchy process (AHP). The present study focuses on computation of integrated coastal vulnerability index which is an integration of physical vulnerability index, geotechnical vulnerability index and social vulnerability index using AHP taking nine risk variables into consideration. An attempt has been made to demonstrate the state-of-the-art microzonation of the coastal stretch between Puri and Konark based on the vulnerability indices using geographical information system.

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