{"title":"Socio-economic correlates of internal migration in India","authors":"Shazia, J. Khan","doi":"10.48008/ngji.1770","DOIUrl":"https://doi.org/10.48008/ngji.1770","url":null,"abstract":"The present paper is an attempt to analyse the spatial patterns of migration, variations in the level of socio-economic development and the relationship between total migration (dependent variable) and selected variables of development (independent variables) among the states of India. The entire research work is based on secondary sources of data, collected from Census of India publications (2011), Migration Table – D Series, Handbook of Statistics of Indian States, Primary Census Abstract of India and Basic Road Statistics of India. The boundary of a state has been taken as the smallest unit of the study. The present study reveals that, from the southern part of the country, the level of migration changes rapidly from high to low grade towards the north. On the other hand, the states lying in the western and eastern part experienced medium to high level of migration in comparison to the north-eastern states having a low level of migration in India. The level of development is high or medium in northern, western and southern states in comparison to the states, lying in the eastern and north-eastern parts of the country.","PeriodicalId":160152,"journal":{"name":"National Geographical Journal of India","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125615304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Study of working population in Uttar Dinajpur District, West Bengal","authors":"A. Roy, Narender Verma","doi":"10.48008/ngji.1768","DOIUrl":"https://doi.org/10.48008/ngji.1768","url":null,"abstract":"Work is defined as participation in any economically productive activity with or without compensation, wages or profit. Such participation may be physical and/or mental. Work involves not only actual work but also includes effective supervision and direction of work. Work Participation Rate shows the proportion of working population to total population in an area and is computed as the percentage of total workers (main and marginal) to the total population. The social and economic development of any region is greatly influenced by the number of economically active persons, their quality and the regularity of the work. In this respect, work participation rates are very useful to understand the level of economic development of a region as it differs from the stages of economic development. This paper attempts to study the Work Participation Rate among different categories of workers in Uttar Dinajpur district. It is one of the country's 250 most backward districts and more than two-thirds of its active workforce still draws livelihood directly from agriculture and related occupations. The present study is census data based. From the result, it can be observed that the work participation rate is a little high in Raiganj Sub-division than in the Islampur Sub-division. Although the work participation rates of men are much higher than those for women in both rural and urban areas women's work participation in the district has risen at a faster rate than that of men.","PeriodicalId":160152,"journal":{"name":"National Geographical Journal of India","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121967366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatio-temporal analysis of Aonla (Indian Gooseberry) cultivation in Pratapgarh district, Uttar Pradesh","authors":"Kaushalendra Prakash Goswami, Shraddha Singh","doi":"10.48008/ngji.1766","DOIUrl":"https://doi.org/10.48008/ngji.1766","url":null,"abstract":"The study highlights the geospatial trends, patterns and distribution of Aonla cultivation in Pratapgarh district over the last decade (2007-08 to 2017-18) and identifies factors and constraints that affect its growth. The paper also explains the concentration and distribution pattern of Aonla cultivation due to its important role in trend analysis. Simple statistics are such as Compound Annual Growth Rates (CAGR), Annual Growth Rates (AGR) and Average Annual Growth Rates (AAGR) are lculated for the area, production and yield. Yield plays an important roleor regular ups and downs in production while the descended area is responsible for the rapid decline in production during 2007-08 to 2012-13. Aonla cluster and Fruit belt initiatives emerged as catalysts for positive growth. Aonla concentration and distribution are shown by using Google Earth Pro. MS Excel and Arc GIS software are used for temporal and spatial analysis.","PeriodicalId":160152,"journal":{"name":"National Geographical Journal of India","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126305118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatial pattern of literacy in Baitarani basin, Odisha","authors":"S. P. Panda, K. M. Sethy, S. N. Tripathy","doi":"10.48008/ngji.1771","DOIUrl":"https://doi.org/10.48008/ngji.1771","url":null,"abstract":"Literacy has traditionally been described as the ability to read and write a simple message with understanding in any language. Literacy in any area was determined largely by a variety of historical, social and economic factors. Literacy brings about fundamental changes in socio-economic development. The disparity in literacy generates several social, economic and political problems, which may threaten the foundation of development. Literacy and education are necessary for human development. It contributes to better income and health of the population. The national adult Education Programme launched countrywide in 1978 has viewed literacy as a means to bring about a fundamental change in socio-economic development. Literacy and education attainment is the key variables influencing fertility, mortality and migration. Therefore, literacy is the decisive factor for the development and population control as well as inequality in literacy tends to lead to several socio-economic problems, which in turn gives rise to regional imbalance. The disparity in literacy generates several social, economic and political problems, which may threaten the foundation of development. The main objective of the present study is to analyze the pattern of literacy and changes in the Baitarani basin, Odisha.","PeriodicalId":160152,"journal":{"name":"National Geographical Journal of India","volume":"10 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130631911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Socio-economic linkages of COVID -19 Pandemic","authors":"Yashwi Joshi, A. Mishra","doi":"10.48008/ngji.1772","DOIUrl":"https://doi.org/10.48008/ngji.1772","url":null,"abstract":"Despite being collective human tragedies on exceptional scales, the pandemics due to their long recurrence periods generally remain marginalized in the mainstream discourse of human geography. Throughout history, it has taken an overwhelming pandemic like COVID-19 or the Spanish flu at the beginning of the last century to bring the academic discussion on pandemics to the centre stage. Due to compartmentalization of thought, the socioeconomic linkages of pandemic largely remain obscure to the common people and even intellectuals engaged in other disciplines. The paper outlines how overexploitation of the earth resources through commodity supply chains is responsible for the spread of the COVID-19 pandemic all over the world. The reckless plunder of remotest countryside and forests by the neoliberal economy essentially works at valorization of the capital by overexploiting both nature and people in the global South, to siphon all the surplus-value to the global North through complex chains of commodity circuits. The neoliberal socio-economic structure is even otherwise virtually free in principle not to take any responsibility for either the health or employment of the majority of common people. Once the world is overtaken by the pandemic this lack of responsibility becomes glaring. The suggestions for creating an infrastructure for health services made shortly before the Indian independence that was followed in the initial decades after 1947 have now been relegated to the background with the private sector making ever more inroads in the health sector, further depriving the common man of the minimal requisite medical facilities. As the COVID-19 pandemic has brought out the real face of the existing socio-economic structure in its failure and refusal to assume any responsibility for the basic needs of the people like food and shelter, the time is ripe to contemplate better alternative systems that could be more pro-people.","PeriodicalId":160152,"journal":{"name":"National Geographical Journal of India","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127538622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"COVID-19 lockdown effects on water turbidity of a highly polluted lake in Dhaka city, Bangladesh","authors":"N. Nasher, Md. Yachin Islam","doi":"10.48008/ngji.1765","DOIUrl":"https://doi.org/10.48008/ngji.1765","url":null,"abstract":"Highly polluted lake water turbidity was analyzed to detect the changes during COVID-19 lockdown. Total eight Sentinel-2 Multispectral Instrument (MSI) and Landsat-8 Operational Land Imager (OLI) satellite imageries are used to observe the qualitative change of lake water turbidity for pre, during and post lockdown period. The imageries from January to June, and September and October were analyzed for change detections. Cloud free imageries have been chosen for analysis. The water pixels and turbidity are assessed by the Normalized Difference Water Index (NDWI) and Normalized Difference Turbidity Index (NDTI), respectively. The blue, red and NIR band reflectance indicates that most of the lake water becomes clearer than before the lockdown period except May. The turbidity index shows low pollution after the lockdown period. High turbidity was observed evenly distributed from January to June. In September and October, high turbidity only found the upper part of the lake. This probably indicates the floating pollutants in the lake. The qualitative study of lake water turbidity using a remote sensing approach indicates that the COVID-19 lockdown improves the water quality in city lake water.","PeriodicalId":160152,"journal":{"name":"National Geographical Journal of India","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114858964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The global problem of land degradation: A review","authors":"Sangita Mahata, Vishwambhar Nath Sharma","doi":"10.48008/ngji.1773","DOIUrl":"https://doi.org/10.48008/ngji.1773","url":null,"abstract":"Land degradation has been a subject of academic research all across the world and still an important global issue in the twenty-first century. Land is an essential resource that is degraded day by day through some major factors like natural, anthropogenic and climatic factors. It is the principal basis for human well-being and livelihood as it provides us food, shelter, and multiple other ecosystem services. Land degradation has become a severe environmental problem. It is observed that a complex interplay between a variety of interrelated processes leads to what we defined as land degradation. It occurs in the form of deforestation, desertification, rapid changes in climatic conditions, waterlogging, salinization, erosion, and loss of organic matter components, etc. But we can save our land or manage our land from degradation by identifying sustainable land management practices and by adopting a precise methodology for assessing land degradation. The major objectives of this study are to address the problems of land degradation and to explore sustainable land management practices through different researches. This paper surveys the research works done on this theme and points out the key drivers of land degradation across the world, the social, economic and environmental costs of land degradation, the extent and severity of global land degradation and the appropriate methods for assessment of land degradation at global level and opportunities for improvement.","PeriodicalId":160152,"journal":{"name":"National Geographical Journal of India","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134644745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Study of the Linear Morphometry of Suktel River Basin, Odhisha","authors":"Ramesh Kumar Patel, Narender Verma","doi":"10.48008/NGJI.1751","DOIUrl":"https://doi.org/10.48008/NGJI.1751","url":null,"abstract":"In the present study, an attempt is made to study the linear morphometry of Suktel River, a tributary of Tel River and its sub basins, that flows through Bolangir District of Odisha. Freely available SRTM Dem (30-meter resolution) has been processed to delineate the streams and the watershed. Its various linear parameters have been delineated using Arc GIS 10.3. The results show that Suktel basin is a sixth-order normal basin having a dendritic drainage pattern. It confirms to Horton's Law of stream number and lacks structural control as implied by its bifurcation ratio that ranges between 3 and 5. It is in the stage of late maturity with the high volume of surface discharge.","PeriodicalId":160152,"journal":{"name":"National Geographical Journal of India","volume":"480 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116191984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatio-Temporal Analysis of Crimes Against Women in Uttar Pradesh (2001-2018)","authors":"Vishai S. Sharma, M. Ishtiaque, D. Kumar","doi":"10.48008/NGJI.1755","DOIUrl":"https://doi.org/10.48008/NGJI.1755","url":null,"abstract":"The crime against women is a subject of great concern globally but in the Indian context it much alarming especially in Uttar Pradesh. According to the National Crime Record Bureau (NCRB) report 2018, 378277 cases of crime against women were reported in India up from 359849 in 2017 and Uttar Pradesh topped the list with 59445 cases. The present paper is an attempt to show a Spatio-temporal analysis of crimes against women in Uttar Pradesh. The analysis is based on the secondary data that was collected from the National Crime Record Bureau (NCRB)and the Census of India. The main objective of this research is to show the trend and patterns of crimes against women in the state. Correlation technique has been used to analyse the data and maps have been prepared based on the calculated results. To perform the correlation several demographic variables have been selected to understand the degree of crimes against women. The results of the research work differed for variables as some of them have a strong positive relationship while others have negative. It is to be noted that sex-ratio and literacy the variables have a strong positive correlation with the crimes in the majority of the districts of the study area.","PeriodicalId":160152,"journal":{"name":"National Geographical Journal of India","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130762014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"River bank erosion risk potential estimation through mechanical and erodibility analysis of soil: A study on left bank of Ganga river near Malda district in West Bengal, India","authors":"S. Majumdar, S. Mondal","doi":"10.48008/NGJI.1752","DOIUrl":"https://doi.org/10.48008/NGJI.1752","url":null,"abstract":"River bank erosion is a hazardous and common phenomenon in diara region near Malda district of North East India during monsoon and post-monsoon periods of every year. One of the significant causes behind the erosion is the textural composition and its arrangement along the river bank. The left bank of Ganga River is texturally very weak along diara region of Malda district. In the present study, the nature of riverbank soil textural composition has been measured by basis parameters analysis and mechanical analysis of soil and its erodibility level. Sieve analysis has been done on all collected soil samples and determines soil basic parameters. The nature of the soil has been derived through the mechanical analysis of particles after Folk and Worst method. Besides that, the degree of soil erodibility has been analyzed through the Bouyoucos Erodibility Index and ROM scale after Roslan and Mazidah. The results show that the erodibility levels become high to the moderate condition along the middle to lower extension of left bank line and relatively low along with upper extension according to ROM scale. Nature of soil along the left bank is dominantly sandy which also indicates the vulnerable condition of bank sites. Basic parameters of soil and its mechanical analysis also reveals that unstable condition exists along with the whole extension of the riverbank line but instability condition is increasing from upper to lower segment of bank line. So the risk of riverbank failure can be measured by determining the textural composition of the soil.","PeriodicalId":160152,"journal":{"name":"National Geographical Journal of India","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129845483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}