Voices from Urban Africa: The Impact of Urban Growth on Children

Urban poverty -- and its impact on children -- is often overlooked and misunderstood. More than half of the world's population now lives in cities. Each year the number of urban residents increases by nearly 60 million.1 By 2050, it is projected that two thirds of the global population will be living in urban areas.2 It is estimated that 94 percent of urban growth will take place in less developed countries.3Africa, though it is the least urbanized continent today, is predicted to have one billion urban dwellers by 2040, with a substantial youth majority. Over the next 40 years, 75 percent of urban population growth in Africa will take place in Africa's secondary cities.4 Currently, over half of the African urban population lives in slum conditions. These figures alone demonstrate the growing importance of prioritizing the urban context in development work.Coupled with this growing urban population, the development community's reliance on aggregate data, which generally compares development indicators for urban and rural areas within a country, means that children and adults living in urban areas appear to be better off than those living in rural areas.Citywide statistics and the 'urban advantage' allow the wealth of some urban individuals to obscure the hardships faced by those living in urban poverty and the vast inequalities present within urban communities. The absence of detailed data means that the depths of urban poverty are often missed and children living in urban poverty are at risk of not being reached by development efforts

Green Governance - One Solution for two problems? Climate change and economic shocks: risk perceptions and coping strategies in China, India and Bangladesh

This collection of papers is based on an international workshop held in the summer of 2009 at the University of Duisburg-Essen. It brings together different perceptions regarding China, India and Bangladesh as they face the risks and crises of climate change and economic shocks like the recent global financial crisis. The papers reflect assumptions concerning the concept of Risk Society and discuss the extent to which Sustainable Development and the rather new concepts of Green Governance, Green Economy and the New Great Deal offer avenues for transforming risk societies into risk-avoiding and riskresistant societies and states. On the basis of these concepts, the current situation in China, India and Bangladesh is described, including the coping strategies which have been implemented so far. Contents: Tobias Debiel / Thomas Heberer: Preface - - - Anja Senz / Dieter Reinhardt: Introduction: Crisis Perception and Green Governance in Comparative Perspective: Questions, Concerns and Format of the Publication - - - Karen Shire: Risks as a Research Topic - Concepts and Methods - - - Chen Yugang: Measure for Meeting Challenges of Climate Change - a Chinese Perspective - - - Yang Long: Potential Instability Caused by the Financial Crisis - Measures Taken by the Chinese State - - - Anja Senz: Green Governance and Sustainable Development in China: Two Problems - One Solution? - - - Dinoo Anna Mathew: Climate Change in India with Special Reference to Women - - - Ash Narain Roy: Coping with Climate Change and Financial Crisis - the Indian Narrative - - - Dalem Barman: Climate Change and Security: A South Asian Perspective - - - Dil Rowshan: Anthropogenic Intervention in Natural Eco-Systems and Climate Change Adaptation in Bangladesh - - - Özlem Ipiv / Dieter Reinhardt: Sustainable Green Investments and Policies in Bangladesh: Two problems - One Solution? - - - Dieter Reinhardt / Anja Senz: Conclusions: Risks, the Green New Deal, and Green Governance - Lessons from South and East Asia --green governance,risk perception,climate change,financial crises,sustainable development,green new deal,green jobs,implementation,civil society,donor policies,China,India,Bangladesh

A World That Counts: Mobilising The Data Revolution For Sustainable Development

This report sets out the main opportunities and risks presented by the data revolution for sustainable development. Seizing these opportunities and mitigating these risks requires active choices, especially by governments and international institutions. Without immediate action, gaps between developed and developing countries, between information-rich and information-poor people, and between the private and public sectors will widen, and risks of harm and abuses of human rights will grow

SPARC 2019 Fake news & home truths : Salford postgraduate annual research conference book of abstracts

Welcome to the Book of Abstracts for the 2019 SPARC conference. This year we not only celebrate the work of our PGRs but also our first ever Doctoral School Best Supervisor awards, which makes this year’s conference extra special. Once again we have received a tremendous contribution from our postgraduate research community; with over 90 presenters, the conference truly showcases a vibrant, innovative and collaborative PGR community at Salford. These abstracts provide a taster of the inspiring, relevant and impactful research in progress, and provide delegates with a reference point for networking and initiating critical debate. Find an abstract that interests you, and say “Hello” to the author. Who knows what might result from your conversation? With such wide-ranging topics being showcased, we encourage you to take up this great opportunity to engage with researchers working in different subject areas from your own. To meet global challenges, high impact research needs interdisciplinary collaboration. This is recognised and rewarded by all major research funders. Engaging with the work of others and forging collaborations across subject areas is an essential skill for the next generation of researchers. Even better, our free ice cream van means that you can have those conversations while enjoying a refreshing ice lolly

The Global Risks Report 2016, 11th Edition

Now in its 11th edition, The Global Risks Report 2016 draws attention to ways that global risks could evolve and interact in the next decade. The year 2016 marks a forceful departure from past findings, as the risks about which the Report has been warning over the past decade are starting to manifest themselves in new, sometimes unexpected ways and harm people, institutions and economies. Warming climate is likely to raise this year's temperature to 1° Celsius above the pre-industrial era, 60 million people, equivalent to the world's 24th largest country and largest number in recent history, are forcibly displaced, and crimes in cyberspace cost the global economy an estimated US$445 billion, higher than many economies' national incomes. In this context, the Reportcalls for action to build resilience – the "resilience imperative" – and identifies practical examples of how it could be done.The Report also steps back and explores how emerging global risks and major trends, such as climate change, the rise of cyber dependence and income and wealth disparity are impacting already-strained societies by highlighting three clusters of risks as Risks in Focus. As resilience building is helped by the ability to analyse global risks from the perspective of specific stakeholders, the Report also analyses the significance of global risks to the business community at a regional and country-level

Financing for Overcoming Economic Insecurity

This book is available as open access through the Bloomsbury Open Access programme and is available on bloomsburycollections.com. The world is witnessing the paradox of simultaneous increase in income and insecurity. According to available data, global average per capita income has increased in recent decades, while at the same time actual and perceived insecurity has also increased. This paradox is true for both developed and developing countries. However, the concrete form and causes of insecurity differs across these two groups of countries. To the extent that income levels in many developing countries are very low, economic insecurity in these countries takes a starker and chronic form. In Financing for Overcoming Economic Insecurity, leading experts examine the causes and consequences of rising economic insecurity and policy measures that can be adopted to overcome insecurity. The volume contains papers addressing issues of economic insecurity pertaining to both developed and developing countries and caused by both economic factors and natural hazards. It also discusses the issues at both macro and micro levels. The volume’s focus on policy measures, such as redistribution and reinvestment of profit income in developed countries and imposition of capital control and promotion of micro insurance in developing countries, should be of much help to policymakers as well as researchers

An integrative approach using remote sensing and social analysis to identify different settlement types and the specific living conditions of its inhabitants

Someday in 2007, the world population reached a historical landmark: for the first time in human history, more than half of the world´s population was urban. A stagnation of this urbanization process is not in sight, so that by 2050, already 70 percent of humankind is projected to live in urban settlements. Over the last few decades, enormous migrations from rural hinterlands to steadily growing cities could be witnessed coming along with a dramatic growth of the world’s urban population. The speed and the scale of this growth, particularly in the so called less developed regions, are posing tremendous challenges to the countries concerned as well as to the world community. Within mega cities the strongest trends and the most extreme dimensions of the urbanization process can be observed. Their rapid growth results in uncontrolled processes of fragmentation which is often associated with pronounced poverty, social inequality, socio-spatial and political fragmentation, environmental degradation as well as population demands that outstrip environmental service capacity. For the majority of the mega cities a tremendous increase of informal structures and processes has to be observed. Consequentially informal settlements are growing, which represent those characteristic municipal areas being subject to particularly high population density, dynamics as well as marginalization. They have quickly become the most visible expression of urban poverty in developing world cities. Due to the extreme dynamics, the high complexity and huge spatial dimension of mega cities, urban administrations often only have an obsolete or not even existing data basis available to be at all informed about developments, trends and dimensions of urban growth and change. The knowledge about the living conditions of the residents is correspondingly very limited, incomplete and not up to date. Traditional methods such as statistical and regional analyses or fieldwork are no longer capable to capture such urban process. New data sources and monitoring methodologies are required in order to provide an up to date information basis as well as planning strate¬gies to enable sustainable developments and to simplify planning processes in complex urban structures. This research shall seize the described problem and aims to make a contribution to the requirements of monitoring fast developing mega cities. Against this background a methodology is developed to compensate the lack of socio-economic data and to deduce meaningful information on the living conditions of the inhabitants of mega cities. Neither social science methods alone nor the exclusive analysis of remote sensing data can solve the problem of the poor quality and outdated data base. Conventional social science methods cannot cope with the enormous developments and the tremendous growth as they are too labor-, as well as too time- and too cost-intensive. On the other hand, the physical discipline of remote sensing does not allow for direct conclusions on social parameters out of remote sensing images. The prime objective of this research is therefore the development of an integrative approach − bridging remote sensing and social analysis – in order to derive useful information about the living conditions in this specific case of the mega city Delhi and its inhabitants. Hence, this work is established in the overlapping range of the research topics remote sensing, urban areas and social science. Delhi, as India’s fast growing capital, meanwhile with almost 25 million residents the second largest city of the world, represents a prime example of a mega city. Since the second half of the 20th century, Delhi has been transformed from a modest town with mainly administrative and trade-related functions to a complex metropolis with a steep socio-economic gradient. The quality and amount of administrative and socio-economic data are poor and the knowledge about the circumstances of Delhi’s residents is correspondingly insufficient and outdated. Delhi represents therefore a perfectly suited study area for this research. In order to gather information about the living conditions within the different settlement types a methodology was developed and conducted to analyze the urban environment of the mega city Delhi. To identify different settlement types within the urban area, regarding the complex and heterogeneous appearance of the Delhi area, a semi-automated, object-oriented classification approach, based on segmentation derived image objects, was implemented. As the complete conceptual framework of this research, the classification methodology was developed based on a smaller representative training area at first and applied to larger test sites within Delhi afterwards. The object-oriented classification of VHR satellite imagery of the QuickBird sensor allowed for the identification of five different urban land cover classes within the municipal area of Delhi. In the focus of the image analysis is yet the identification of different settlement types and amongst these of informal settlements in particular. The results presented within this study demonstrate, that, based on density classes, the developed methodology is suitable to identify different settlement types and to detect informal settlements which are mega urban risk areas and thus potential residential zones of vulnerable population groups. The remote sensing derived land cover maps form the foundation for the integrative analysis concept and deliver there¬fore the general basis for the derivation of social attributes out of remote sensing data. For this purpose settlement characteristics (e.g., area of the settlement, average building size, and number of houses) are estimated from the classified QuickBird data and used to derive spatial information about the population distribution. In a next step, the derived information is combined with in-situ information on socio-economic conditions (e.g., family size, mean water consumption per capita/family) extracted from georeferenced questionnaires conducted during two field trips in Delhi. This combined data is used to characterize a given settlement type in terms of specific population and water related variables (e.g., population density, total water consumption). With this integrative methodology a catalogue can be compiled, comprising the living conditions of Delhi’s inhabitants living in specific settlement structures – and this in a quick, large-scaled, cost effective, by random or regularly repeatable way with a relatively small required data basis.The combined application of remotely sensed imagery and socio-economic data allows for the mapping, capturing and characterizing the socio-economic structures and dynamics within the mega city of Delhi, as well as it establishes a basis for the monitoring of the mega city of Delhi or certain areas within the city respectively by remote sensing. The opportunity to capture the condition of a mega city and to monitor its development in general enables the persons in charge to identify unbeneficial trends and to intervene accordingly from an urban planning perspective and to countersteer against a non-adequate supply of the inhabitants of different urban districts, primarily of those of informal settlements. This study is understood to be a first step to the development of methods which will help to identify and understand the different forms, actors and processes of urbanization in mega cities. It could support a more proactive and sustainable urban planning and land management – which in turn will increase the importance of urban remote sensing techniques. In this regard, the most obvious and direct beneficiaries are on the one hand the governmental agencies and urban planners and on the other hand, and which is possibly the most important goal, the inhabitants of the affected areas, whose living conditions can be monitored and improved as required. Only if the urban monitoring is quickly, inexpensively and easily available, it will be accepted and applied by the authorities, which in turn enables for the poorest to get the support they need. All in all, the listed benefits are very convincing and corroborate the combined use of remotely sensed and socio-economic data in mega city research