经济代写|发展经济学代写Development Economics代考|Implications for Development Partners

Architecture of the past for challenges of the future. The international aid architecture, consisting of the UN system, regional and multilateral development banks, and international, regional and local NGOs, has existed in its current form for seven decades. The number of actors has increased dramatically, and the field has undergone changes in its philosophy and its processes. But the core assumption at the heart of the human development endeavour has remained that if an enabling social, political and economic environment is created, citizens will be able to engage in rewarding economic activities and further their well-being. This is how developing countries were expected to chart their economic development pathway. This thinking has dominated the post-war era, even as ideologies, as a means of creating such an enabling environment, have oscillated from one side to the other.

While change has always been a feature of the work of the development sector, never have the economic fundamentals changed so rapidly or the potential been so great to change the economic paradigm so quickly. The development architecture will have to come to grips with the reality that technology is the driving force behind these changes at a global scale. Discussion within the development community on this topic has been largely muted, however, and has only recently been reflected in a United Nations Department of Economic and Social Affairs publication titled “Impact of Technological Revolution on Labour Markets and Income Distribution”. Development professionals need to be aware of the influence of technology and its role in shaping the direction of global policy discourse. In the absence of dialogue and action to equitably harness the benefits of the ongoing technological revolution, development partners risk becoming spectators, with a marginal role in shaping its outcomes in favour of the more vulnerable populations around the world.

经济代写|发展经济学代写Development Economics代考|The Story This Far

The discussion has encompassed five chapters in total which cover a wide array of topics. Hence, this chapter will take the opportunity to recap the discussion this far.

What is the challenge at hand? – The first chapter delved extensively into the kind of challenges and opportunities that Sustainable Development Goals (SDGs) have thrown at evaluators. Sustainable development is at the heart of SDGs, and this sustainability agenda spans economic, social and, most importantly, environmental dimensions. Looking at the multidimensionality of sustainability implies taking a cross-sectoral and systems view of the goals. In turn, such systems view puts complexity as a key theme as well as challenge in the process of measuring progress on SDGs. To that end, SDGs have set ambitious demands on evaluators and development practitioners. Evaluating progress on SDGs and dissecting the inherent complexity will require a data paradigm which can fulfil the ambitious agenda that has been set. However, the ambition and the challenges go beyond the sheer number of indicators that SDGs will entail and the volume and variety of data that will be required. The world of development evaluation faces the twofold challenge of lack of data to meet evaluation needs within the complexity paradigm and the speed with which such data has to be utilized. The traditional methods of data collection, analysis and information sharing may be insufficient and thus call for newer ways to meet these challenges.

Why focus on information and communication technologies (ICTs)? – ICTs come into picture with their potential to transform the way in which data collection and analysis take place. The second chapter dealt extensively with the theory and practice of Information and Communication Technologies for Evaluation (ICT4Eval). From tools as simple and ubiquitous as mobile phones to relatively complex tools such as remote sensing and advanced machine learning for analysis can be deployed in the field of development and especially in evaluation. These tools may provide and analyse data on indicators which were hitherto unavailable and do so with speed. There is scope not just to introduce newer tools such as machine learning but also use older tools such as mobile phones in newer ways (refer to Case 7 in Chapter 2). However, ICTs are not merely a means of collecting and analysing data but also a source of data by themselves, as the third chapter on big data elaborates.

经济代写|发展经济学代写Development Economics代考|ECON4560








经济代写|发展经济学代写Development Economics代考







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