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Regional geography

Volume XIV |

Peasant perception of the importance of forests and local strategies for protecting forest spaces. Case study Central-West region of Burkina Faso

Abstract: Forest resources are subjected to various pressures that threaten their existence. This necessitates the development of a management policy to enhance their sustainability. The objective of this study was to contribute to the development of a sustainable forest management policy based on endogenous practices. Data were collected from 201 households living near these forests through survey questionnaires. The chi-square statistical test was used to determine the relationship between each sociodemographic variable and their perception of forest-related issues, and the Kramer’s V contingency coefficient was used to evaluate the intensity of this relationship. The results of these analyses provided a range of indicators of the importance of the studied forests as perceived by peasants, with the most significant factors being flora and fauna conservation and improvement of rainfall. Furthermore, the results revealed relationships between peasant perception and certain sociodemographic variables, ranging from weak to strong levels. Additionally, this study highlights strategies such as self-awareness, individual plantations within concessions, and the maintenance of forest firebreaks undertaken by these households to protect the forests they live nearby. One limitation of this study is the lack of investigation into the effectiveness of these strategies proposed by the residents of the studied forests. Therefore, it is recommended that the forest authorities conduct a study to assess the effectiveness of these strategies, which would lead to the popularization of proven approaches.

Volume XIV |

Livability assessment and socioeconomic impact indicators in Lagos Metropolis, Nigeria

Abstract: The accelerating pace of global urbanisation has intensified the demand for livable urban environments, particularly in rapidly expanding cities like Lagos Metropolis, Nigeria. This study assessed city livability and socioeconomic impact indicators in Lagos Metropolis. It specifically evaluated livability indicators using both quantitative data and residents’ perceived livability data, with the aim of identifying the most livable areas of the city, understanding the perceived importance of indicators, determining those with the highest socioeconomic impact and identifying livability constraints across local government areas (LGAs). Drawing on qualitative secondary data and cross-sectional survey responses from 1,284 residents selected through multistage sampling, the study employed spatial descriptive statistics, weighted mean analysis and multiple linear regression to achieve its objectives. Findings revealed notable variations in livability across LGAs, with Eti-Osa identified as the most livable and Ifako-Ijaiye as the least. Residents’ assessments highlighted housing, transportation and urban facilities as top-rated priorities, reflecting a strong emphasis on shelter, mobility and access to basic services as essential components of urban life. In contrast, resilience, gender equality and urban governance were ranked as the least important livability indicators. Furthermore, physical development, social security and public utilities emerged as the top-rated socioeconomic impact indicators, suggesting that well-structured infrastructure, personal safety and reliable basic services significantly enhance residents’ socioeconomic wellbeing. Contrarily, urban resilience, gender equality, governance and poverty reduction were perceived as the least impactful in this regard. Major perceived constraints included poor transport coverage, high housing costs, flood risks and inadequate infrastructure accessibility. Regression analysis (F 1236/11 = 83.21, p-value = 0.000 < 0.05) confirmed that these livability constraints significantly affect residents’ urban commitment (length of stay in their respective LGAs). The study recommends prioritising affordable housing, sustainable transport systems, climate resilience strategies and inclusive urban governance to enhance livability and improve Lagos’s standing in global urban indices.

Volume XXII |

Geographical analysis of multidimensional poverty in India from 2005-2006 to 2021: An emerging scenario

Abstract: The present study has made a thorough investigation into the spatial clustering, trend, and intensity of multidimensional poverty in India between 2005–2006 and 2021. Data has been obtained from the global multidimensional poverty report [developed by the Oxford Poverty and Human Development Initiative (OPHI) and UNDP] and the national report of the Multidimensional Poverty Index (MPI) for 2021 [prepared by NITI Aayog] for India based on the NFHS-3 and NFHS-4 datasets. The study shows that, despite significant interstate disparities, multidimensional poverty in India has decreased from 0.279 in 2005–2006 to 0.118 in 2021. States like Bihar, Jharkhand continue to experience extreme multidimensional poverty. The study demonstrates that even though the intensity of poverty has remained relatively constant, the poorer states are significantly more advanced in reducing poverty than the nation’s wealthier states. This suggests a pattern of pro-poor poverty reduction. Besides the study explores indicator-wise deprivation of MPI among the states and it is witnessed that Chhattisgarh, Jharkhand, Tripura, and Bihar have made splendid progress in reducing deprivation in different indicators (antenatal care, electricity, drinking water, assets) of multidimensional poverty, while the magnitude of deprivation is acute in several indicators like nutrition, cooking fuel, sanitation, and housing in these states. Based on the analysis, the present study suggests that India should undertake target-based interventions in poverty-prone regions to reduce poverty.

Volume XXI |

Multidimensional approach for measuring female-based urban poverty in recently urbanizing societies: Sehore City of Madhya Pradesh, India as case study

Abstract: The present study deals with selected aspect of measuring the prevalence of female-based multidimensional poverty in upcoming township of Sehore Municipal Council (Sehore M.C.) with limited economic opportunities reflected in economic poverty as such. The female-based urban poverty is also reflected even in households which are not below poverty line (BPL) and households with higher female work participation, suggesting that not only economic factors are at play when discussing the high rates of female-based socio-economic deprivation in the study area.The parameters selected for this research were considered to be relevant for the evaluation of female-based multidimensional poverty given the local conditions. The study is based on the methodology of multidimensional poverty index (MPI) given by UNDP (2010) in which six domains including housing poverty, economic poverty, educational poverty, health poverty, lack of time for relaxation and lack of empowerment and decision-making power, are selected to evaluate female-based MPI. In order to bring out spatial variation in concentration of female-based MPI, seventeen congested and crowded localities across four wards with varying percentage population of females and female workers were surveyed. The results show that fifteen localities (88%) scores as multidimensionally poor on female-based MPI; one locality is severely poor; and one is vulnerable to multidimensional poverty. Out of the six analysed domains, the contribution of lack of empowerment and decision-making power domain are contributing the most to the female-based MPI (nearly 24%). The study concludes with the justification for selecting the indicators in evaluating the female-based MPI in new-urbanizing society in India along with area specific suggestions to tackle with existing problem of female-based urban poverty in Sehore M.C.

Volume XXI |

An ecological study of vulnerability to COVID-19 in Serbia – using Hotspot Analysis for Evidence-Based Population Health Policy

Abstract: The risk of severe illness or death from COVID-19 is associated with specific demographic characteristics or composition of the population within geographic areas, and the spatial relationship between these areas. The aim of this paper is to identify areas with a higher concentration of population vulnerable to COVID-19, relying on the concept of spatial dependence. Hence, we focus on the share of vulnerable populations using several salient proxy measures at municipality level data for Serbia. The degree of vulnerability at the municipality level was determined by hotspot analysis, specifically the Getis-Ord Gi* statistics. The results indicate heterogeneity in the spatial patterning and typologies of clusters across Serbia. This spatial heterogeneity reveals potentially differing degrees of risk across municipalities. The results can inform decision-makers in the fight against COVID-19 by helping to identify those areas with vulnerable populations that if exposed may stress the local health care system.