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Digital technologies have made it increasingly feasible for buyers and sellers to place and receive orders on a global scale. They also enable the instantaneous remote delivery of services directly into businesses and homes, including internationally. The Handbook on Measuring Digital Trade sets out a conceptual and measurement framework for digital trade that aligns with the broader standards for macroeconomic statistics. It aims to help statistical compilers to address policymakers’ needs for statistical evidence on digital trade. It includes extensive compilation guidance, drawing upon substantive inputs and case studies from both developed and developing economies and covering a variety of survey and non-survey sources. This second edition of the Handbook builds upon the concepts set out in the first edition, published in 2019. Focusing on cross-border digitally ordered goods and services, on digitally delivered services, and on the role played by digital intermediation platforms the Handbook provides a framework and template for the compilation of internationally comparable statistics on digital trade.
The United Nations Conference on Trade and Development (UNCTAD) is a founding member of the Partnership on Measuring ICT for Development, which is an international, multi-stakeholder initiative to improve the availability and quality of ICT data and indicators. One of its key achievements is the development of a core list of ICT indicators for the production of internationally comparable statistics. This list was first endorsed by the United Nations Statistical Commission at its 38th session in March 2007 and has since been updated regularly. The Commission encouraged countries to use that list in their data collection programmes; a first version of the Manual for the Production of Statistics on the Information Economy was published at the end of 2007. An updated version was published in 2009. The current edition, entitled Manual for the Production of Statistics on the Digital Economy, was prepared to reflect the many changes that have taken place in the past decade in terms of access and use of ICTs. Compared to earlier versions, it expands the coverage of the measurement of e-commerce, trade in ICT services and trade in ICT-enabled (or digitally delivered) services. It contains more model questionnaires and reflects the most recent revisions of the Partnership's list of core ICT indicators. The Manual is intended to guide statisticians from developing countries through all the steps involved in the production and dissemination of statistics related to e-commerce and the digital economy.
The Digital Economy Report 2024 turns the attention to the environmental footprint of digitalization. The Report discusses environmental impacts along the life cycle of digital devices and information and communications technology infrastructure with regard to raw material extraction and processing, manufacturing, distribution; use and the end-of-life phase. The direct effects on natural resources, including transition minerals, energy and water, as well as greenhouse gas emissions and waste-related pollution can be said to constitute the “environmental footprint” of the ICT sector. There are also indirect environmental effects from the use of digital technologies and services in different sectors of the economy, and the Report includes a dedicated chapter on e-commerce. The report underlines the need to maximize the positive impact of digitalization while minimizing the negative impacts on environmental sustainability.
Providing nuanced insight into key areas of innovation studies, this erudite second edition acknowledges the significance of innovation within the informal economy. It contributes to the broader scholarly discourse on innovation indicators and measurement, exploring the nature and rate of recent developments within the field.
In the Digital Supply and Use Tables (SUTs) framework, three dimensions are introduced for measuring the digital economy: the nature of the transaction (the “how”), the goods and services produced (the “what”), and the new digital industries (the “who”). The OECD Handbook on Compiling Digital SUTs explains these three dimensions and includes examples.
ADVANCES IN BUSINESS STATISTICS, METHODS AND DATA COLLECTION Advances in Business Statistics, Methods and Data Collection delivers insights into the latest state of play in producing establishment statistics, obtained from businesses, farms and institutions. Presenting materials and reflecting discussions from the 6th International Conference on Establishment Statistics (ICES-VI), this edited volume provides a broad overview of methodology underlying current establishment statistics from every aspect of the production life cycle while spotlighting innovative and impactful advancements in the development, conduct, and evaluation of modern establishment statistics programs. Highlights include: Practical discussions on agile, timely, and accurate measurement of rapidly evolving economic phenomena such as globalization, new computer technologies, and the informal sector. Comprehensive explorations of administrative and new data sources and technologies, covering big (organic) data sources and methods for data integration, linking, machine learning and visualization. Detailed compilations of statistical programs’ responses to wide-ranging data collection and production challenges, among others caused by the Covid-19 pandemic. In-depth examinations of business survey questionnaire design, computerization, pretesting methods, experimentation, and paradata. Methodical presentations of conventional and emerging procedures in survey statistics techniques for establishment statistics, encompassing probability sampling designs and sample coordination, non-probability sampling, missing data treatments, small area estimation and Bayesian methods. Providing a broad overview of most up-to-date science, this book challenges the status quo and prepares researchers for current and future challenges in establishment statistics and methods. Perfect for survey researchers, government statisticians, National Bank employees, economists, and undergraduate and graduate students in survey research and economics, Advances in Business Statistics, Methods and Data Collection will also earn a place in the toolkit of researchers working –with data– in industries across a variety of fields.
Digital transformations bring about fundamental changes in how institutions – from governments to businesses – operate. National statistical offices (NSOs) face growing expectations from data users and need to adapt their digital capabilities accordingly. For NSOs in low and middle-income countries, who may have had limited exposure to digitalisation to date, keeping pace with rapid technological change is challenging.
The OECD Digital Economy Outlook examines and documents the evolutions and emerging opportunities and challenges in the digital economy. It highlights how OECD countries and partner economies are taking advantage of ICTs and the Internet to meet their public policy objectives.
Measuring the Digital Transformation: A Roadmap for the Future provides new insights into the state of the digital transformation by mapping indicators across a range of areas – from education and innovation, to trade and economic and social outcomes – against current digital policy issues, as presented in Going Digital: Shaping Policies, Improving Lives.
This publication features a broad suite of statistical indicators characterizing the supply-and-use interactions of economic sectors within and across 25 economies of Asia and the Pacific. The indicators include sector- and economy-specific multipliers and linkages, trade orientation and openness, participation in global value chains, patterns of product specialization, and domestic agglomeration, among many others. Supplementing these analyses are special chapters on the economic impacts of the COVID-19 pandemic, the contribution of the digital economy, and the significance of activities related to real estate. All analyses and indicators draw on the Multiregional Input–Output database maintained by the Asian Development Bank.