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The Supply-Use Tables (SUTs) form a central part of the national accounts, providing a framework to bring together a range of data and, through balancing, to ensure the coherency and consistency of various parts of the national accounts. The SUTs thus serve many purposes, in particular, statistical and analytical, not just for producers but also for a range of different users, and their analytical dimension is especially enhanced when the SUTs are transformed into Input-Output Tables (IOTs). For analytical purposes, the assumptions about the relationships between inputs and outputs are required irrespective of whether the products have been produced by the primary industry or by other industries as their secondary output. {"references": ["UN Handbook on Supply and Use Tables and Input-Output Tables with Extensions and Applications (2018)", "Eurostat Manual of Supply, Use and Input-Output Tables (2008)"]}

An increasing number of researchers support reproducibility by including pointers to and descriptions of datasets, software and methods in their publications. However, scientific articles may be ambiguous, incomplete and difficult to process by automated systems. In this paper we introduce RO-Crate, an open, community-driven, and lightweight approach to packaging research artefacts along with their metadata in a machine readable manner. RO-Crate is based on Schema$.$org annotations in JSON-LD, aiming to establish best practices to formally describe metadata in an accessible and practical way for their use in a wide variety of situations. An RO-Crate is a structured archive of all the items that contributed to a research outcome, including their identifiers, provenance, relations and annotations. As a general purpose packaging approach for data and their metadata, RO-Crate is used across multiple areas, including bioinformatics, digital humanities and regulatory sciences. By applying "just enough" Linked Data standards, RO-Crate simplifies the process of making research outputs FAIR while also enhancing research reproducibility. An RO-Crate for this article is available at https://www.researchobject.org/2021-packaging-research-artefacts-with-ro-crate/ Comment: 42 pages. Submitted to Data Science

The statistical challenges of globalization are profound. We cannot rely solely on national statistics to understand how economies work and how to create industrial policies focusing on competitiveness. It is necessary to see the whole. National statistics build pictures based on relationships between producers and consumers and the rest of the world. But these relationships, especially those with the rest of the world, have become increasingly more complex. There is an increasing need to consider global production within a global accounting framework. This implies a departure from the traditional role of international organizations as compilers of internationally comparable national statistics to bring together the national tables to create a global table.

International audience; The crucial and growing role performed by different financial intermediaries such as venture capitalists and angel investors as well as more traditional intermediaries such as commercial banks in developing entrepreneurial or innovative firms and boosting product market innovations has led to great research interest in the economics of innovation and entrepreneurial finance. Besides this, there are some important factors or developments which have affected the entrepreneurial finance in general as well as its influence upon different entrepreneurial or innovative firms. Indeed, it is also true that the financial and ownership structures of the different entrepreneurial firms and the legal as well as institutional environment, in which they operate, itself affects the product market innovations (Chemmanur and Fulghieri, 2014). .Therefore, in this paper I want to target a broad theme i.e. analysis of the mechanisms behind this scenario, especially, in the context of Indian market system.