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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|发展经济学代写发展经济学代考|对发展伙伴的影响
用过去的架构迎接未来的挑战。由联合国系统、区域和多边开发银行以及国际、区域和地方非政府组织组成的国际援助架构以目前的形式已经存在了70年。参与者的人数急剧增加,该领域的哲学和过程也发生了变化。但是,人类发展努力的核心假设仍然是,如果创造一种有利的社会、政治和经济环境,公民将能够从事有益的经济活动并增进其福祉。这就是人们期望发展中国家规划其经济发展道路的方式。这种思想主导了战后时代,即使意识形态作为创造这种有利环境的一种手段从一边摇摆到另一边
虽然变化一直是发展部门工作的一个特点,但经济基本面的变化从未如此之快,经济范式的变化也从未如此之大。开发架构将不得不面对这样一个现实,即技术是全球范围内这些变化背后的驱动力。但是,发展界内部对这个问题的讨论基本上是沉默的,直到最近才反映在联合国经济和社会事务部题为“技术革命对劳动力市场和收入分配的影响”的出版物中。发展专业人员需要认识到技术的影响及其在塑造全球政策话语方向方面的作用。如果没有对话和行动来公平地利用正在进行的技术革命的利益,发展伙伴就有可能成为旁观者,在影响其结果以有利于世界各地较脆弱人口方面只能发挥微不足道的作用
经济代写|发展经济学代写发展经济学代考|到目前为止的故事
讨论总共包括了五章,涵盖了广泛的主题。因此,本章将借此机会概述到目前为止的讨论
眼前的挑战是什么?-第一章深入探讨了可持续发展目标(SDGs)给评估者带来的挑战和机遇。可持续发展是可持续发展目标的核心,而这一可持续发展议程涵盖了经济、社会以及最重要的环境方面。审视可持续性的多维性意味着对各项目标采取跨部门和系统的看法。反过来,这种系统观将复杂性作为衡量可持续发展目标进展过程中的一个关键主题和挑战。为此,可持续发展目标对评估人员和发展从业者提出了雄心勃勃的要求。评估可持续发展目标的进展并剖析其内在复杂性,将需要一种能够实现已制定的雄心勃勃的议程的数据范式。然而,可持续发展目标所需要的指标数量以及所需数据的数量和种类,远远超出了这些目标的雄心和挑战。开发评估界面临着双重挑战:缺乏数据以满足复杂性范式内的评估需求,以及必须利用这些数据的速度。传统的数据收集、分析和信息共享方法可能是不够的,因此需要新的方法来应对这些挑战
为什么要关注信息和通信技术(ict)?-信息通信技术具有改变数据收集和分析方式的潜力。第二章论述了信息与通信技术评价的理论与实践。从像移动电话这样简单和普遍存在的工具,到诸如遥感和用于分析的先进机器学习等相对复杂的工具,都可以部署在开发领域,特别是评价领域。这些工具可以提供和分析迄今为止无法得到的指标数据,而且速度很快。不仅可以引入机器学习等新工具,还可以以新的方式使用移动电话等旧工具(参见第二章的案例7)。然而,正如大数据第三章所阐述的,信息通信技术不仅是收集和分析数据的手段,而且本身也是数据的来源

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