scholarly journals Chinese environmentally extended input-output database for 2017 and 2018

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Xi Tian ◽  
Yiwei Liu ◽  
Ming Xu ◽  
Sai Liang ◽  
Yaobin Liu

AbstractEnvironmental footprint analyses for China have gained sustained attention in the literature, which rely on quality EEIO databases based on benchmark input-output (IO) tables. The Chinese environmentally extended input-output (CEEIO) database series provide publically available EEIO databases for China for 1992, 1997, 2002, 2007, and 2012 with consistent and transparent data sources and database structure. Based on the latest benchmark IO tables for China for 2017 and 2018, here we develop the corresponding 2017 and 2018 CEEIO databases following the same method used to develop previous CEEIO databases. The 2017 and 2018 CEEIO databases cover 44 and 28 types of environmental pressures, respectively, and consider multiple sector classifications including ones consistent with previous CEEIO databases and ones following the 2017 China’s national economy industry classification standard. A notable improvement in the 2017 and 2018 CEEIO databases is the comprehensive inclusion of CO2 emissions from additional industrial processes. This work provides a consistent update of the CEEIO database and enables a wide range of timely environmental footprint analyses related to China.

Author(s):  
Olena Zayats ◽  

The article examines the competitive status and competitive positions of Ukraine. It proves that in the current context the competitive status of the national economy is determined by the presence of a strong global competitive force that provides dynamic growth based on innovation potential, developed institutions, infrastructure, ICT adoption, macroeconomic stability, health, skills, product market, labor market, financial system, market size, business dynamism rather than by traditional factors (natural resources, geopolitical situation). It has been identified that a wide range of factors in global competitive force establishment suggests the complexity of its assessment. It has been noted that in world economic practice the Global Competitiveness Index of the World Economic Forum is predominantly used to assess the competitive status of the national economy. It has been determined that according to this index, in the overall ranking among 141 countries in 2019, Ukraine ranked 85th (2009-2010 – 82/133; 2018 – 83/140). The article analyzes of the competitive status of Ukraine in the international arena in terms of twelve pillars of the studied index and in the context of components of the said pillars. The dynamics of Ukraine's global competitive force in recent years shows that there has not been any build up. However, if one analyzes it in terms of the criteria of the global competitive force of the domestic economy, their assessment is volatile: the main regression can be traced in the sphere of the financial system, where Ukraine dropped by 19 positions in one year (2018 – 117/140, 2019 – 136/141), and the greatest progress is observed in the product market, where Ukraine rose by 16 positions in one year (2018 – 73/140, 2019 – 57/141). Analysis of the components of Ukraine’s global competitive force criteria shows that the worst positions in terms of such components are as follows: non-performing loans (% of gross total loans) – 139/141 and soundness of banks – 131/141. The best positions are in terms of the following components: costs of starting a business – 14/141 and attitude towards entrepreneurial risk – 18/141.


2021 ◽  
Vol 296 (4) ◽  
pp. 100-104
Author(s):  
Yaroslav BEREZIVSKYI ◽  

A significant number of scientific economic theories have been identified, which substantiate the essential characteristics of the technological competitiveness of the national economy. The difference between each of the theories is due to the evolution of economic development, conditions and factors of formation, as well as directions and means (tools) to ensure the technological competitiveness of the national economy. The conditions and factors of formation of technological competitiveness of the national economy according to economic theories of competition – blue ocean, global advance of competitors, competitive advantages, cyclical development of economy, neoliberalism, structuring are allocated. In each of the theories of competition as their historical evolution, the technological competitiveness of the economy was considered in the context of access and ability to effectively use technological resources, the formation of the market of innovation and technology, implementation of state policy to stimulate innovation. Taking into account theories of competition allows to clarify the important characteristics of technological competitiveness of the national economy, which relate to determining the influence of society, state, market environment, globalization and informatization on the creation and implementation of technologies in economic processes, economic competitiveness. Analysis of the evolution of scientific views shows the high intensity of changes in the field of competition and provides a wide range of conditions and factors for the formation of technological competitiveness, the development of economic agents. Accordingly, the lack of opportunities for technological and innovative development of national producers should be regarded as the main threat to the competitiveness of the economy. These are market, infrastructural, technological, innovative, intellectual, resource and other trends, in the context of which it becomes possible to effectively use competitive opportunities.


Author(s):  
Kripa K. Varanasi ◽  
Tao Deng

Heterogeneous nucleation of water plays an important role in wide range of natural and industrial processes. Though heterogeneous nucleation of water is ubiquitous and everyday experience, spatial control of this important phenomenon is extremely difficult. Here we show, for the first time, that spatial control in the heterogeneous nucleation of water can be achieved by manipulating the local nucleation energy barrier and nucleation rate via the modification of the local intrinsic wettability of a surface by patterning hybrid hydrophobic-hydrophilic regions on a surface. Such ability to control water nucleation could address the condensation-related limitations of superhydrophobic surfaces, and has implications for efficiency enhancements in energy and desalination systems.


Author(s):  
Magdalena Opazo Breton ◽  
John Britton ◽  
Yue Huang ◽  
Ilze Bogdanovica

Price of tobacco products has traditionally been relevant both for the industry, to respond to policy changes, and for governments, as an effective tobacco control measure. However, monitoring prices across a wide range of brands and brand variants requires access to expensive commercial sales databases. This study aims to investigate the comparability of average tobacco prices from two commercial sources and an in-house monitoring database which provides daily data in real time at minimal cost. We used descriptive and regression analysis to compare the monthly average numbers of brands, brand variants, products and prices of cigarettes and hand-rolling tobacco using commercial data from Nielsen Scantrack and Kantar Worldpanel, and an online price database (OPD) created in Nottingham, for the period from May 2013 to February 2017. There were marked differences in the number of products tracked in the three data sources. Nielsen was the most comprehensive and Kantar Worldpanel the least. Though average prices were very similar between the three datasets, Nottingham OPD prices were the highest and Kantar Worldpanel the lowest. However, regression analysis demonstrated that after adjustment for differences in product range, price differences between the datasets were very small. After allowing for differences in product range these data sources offer representative prices for application in price research. Online price tracking offers an inexpensive and near real-time alternative to the commercial datasets.


2016 ◽  
Vol 7 (1) ◽  
pp. 1197
Author(s):  
Ahmad Romadhon

The objective of this research was to understand comprehensively the Financial Independent in Organization of Education through Entrepreneurship and partnership. it was a qualitative research with study case method conducted in Al Ashriyyah Nurul Iman Islamic Boarding School, Parung-Bogor. In this research data collecting with triangulation technique, Overall the researchers use participant observation, in-depth interviews, and documentation for the same data sources simultaneously. As a private educational institution, Al Ashriyyah Nurul Iman Foundation since its inception independently manage and develop the foundation to establish a wide range of entrepreneurial and cooperation with various institutions and circles. Financial independence has always strived through two things very well. Develop without relying on finance from other parties is a priority for YANIIBS, so that entrepreneurship and partnerships with these institutions become more developed and advanced


2020 ◽  
Author(s):  
James A. Fellows Yates ◽  
Aida Andrades Valtueña ◽  
Ashild J. Vågene ◽  
Becky Cribdon ◽  
Irina M. Velsko ◽  
...  

ABSTRACTAncient DNA and RNA are valuable data sources for a wide range of disciplines. Within the field of ancient metagenomics, the number of published genetic datasets has risen dramatically in recent years, and tracking this data for reuse is particularly important for large-scale ecological and evolutionary studies of individual microbial taxa, microbial communities, and metagenomic assemblages. AncientMetagenomeDir (archived at https://doi.org/10.5281/zenodo.3980833) is a collection of indices of published genetic data deriving from ancient microbial samples that provides basic, standardised metadata and accession numbers to allow rapid data retrieval from online repositories. These collections are community-curated and span multiple sub-disciplines in order to ensure adequate breadth and consensus in metadata definitions, as well as longevity of the database. Internal guidelines and automated checks to facilitate compatibility with established sequence-read archives and term-ontologies ensure consistency and interoperability for future meta-analyses. This collection will also assist in standardising metadata reporting for future ancient metagenomic studies.


Author(s):  
Francesca D. Lenoci ◽  
Elisa Letizia

AbstractThe data collected under the European Market Infrastructure Regulation (“EMIR data”) provide authorities with voluminous transaction-by-transaction details on derivatives but their use poses numerous challenges. To overcome one major challenge, this chapter draws from eight different data sources and develops a greedy algorithm to obtain a new counterparty sector classification. We classify counterparties’ sector for 96% of the notional value of outstanding contracts in the euro area derivatives market. Our classification is also detailed, comprehensive, and well suited for the analysis of the derivatives market, which we illustrate in four case studies. Overall, we show that our algorithm can become a key building block for a wide range of research- and policy-oriented studies with EMIR data.


2017 ◽  
Vol 1 (1) ◽  
pp. 81
Author(s):  
Muhammad Erwin Munthe

Abstract Constitution mandates that the national economy should be run by promoting people's welfare. This study intends to analyze the mechanisms and criteria for state intervention in order to provide legal protection to consumers and other businesseman in creating healthy business competition. This study uses doctrinal method research in the form of evaluative research. The approach which is used is the approach of legislation with secondary data sources in the form of primary, secondary and tertiary legal materials. From the discussion and showed that the mechanism of state intervention is likethe delimitation of the price tolerance 10 % for rice, granting subsidies (BLT), market operations, tariff Arrangement of Impor Tax, Price Determination of Government Purchase (HPP), Restrictions of food exports. While the criteria for state intervention is the production branches which are important for the country and dominate the life of many people, the production branches are arranged legislation, organized by the state or body or institution established or designated by the government.AbstrakUndang-Undang Dasar 1945 mengamanatkan bahwa perekonomian nasional harus dijalankan dengan mengedepankan kesejahteraan rakyat. Penelitian ini bertujuan untuk menganalisis mekanisme dan kriteria intervensi negaradalam rangka memberikan perlindungan hukum kepada konsumen dan pelaku usaha lainnya dalam mewujudkan persaingan usaha sehat. Penelitian ini menggunakan metode penelitian doktrinal dalam bentuk penelitian evaluatif. Pendekatan yang digunakan adalah pendekatan perundang-undangan dengan sumber data sekunder berupa bahan hukum primer, sekunder dan tersier. Dari hasil pembahasan dan penelitian diperoleh bahwa mekanisme inrevensi harga adalahseperti penetapan batas toleransi harga 10% untuk beras, Pemberian Subsidi (Harga/BLT), Operasi Pasar, Pengaturan Tarif Bea Masuk Impor, Penetapan Harga Pembelian Pemerintah (HPP), Pembatasan Ekspor Pangan. Sedangkan kriteria intervensi negara yaitu pada cabang-cabang produksi yang penting bagi negara dan menguasai hajat hidup orang banyak, cabang-cabang produksi tersebut diatur undang-undang, diselenggarakan oleh BUMN atau badan atau lembaga yang dibentuk atau ditunjuk oleh pemerintah.


Author(s):  
Miguel Figueres Esteban

New technology brings ever more data to support decision-making for intelligent transport systems. Big Data is no longer a futuristic challenge, it is happening right now: modern railway systems have countless sources of data providing a massive quantity of diverse information on every aspect of operations such as train position and speed, brake applications, passenger numbers, status of the signaling system or reported incidents.The traditional approaches to safety management on the railways have relied on static data sources to populate traditional safety tools such as bow-tie models and fault trees. The Big Data Risk Analysis (BDRA) program for Railways at the University of Huddersfield is investigating how the many Big Data sources from the railway can be combined in a meaningful way to provide a better understanding about the GB railway systems and the environment within which they operate.Moving to BDRA is not simply a matter of scaling-up existing analysis techniques. BDRA has to coordinate and combine a wide range of sources with different types of data and accuracy, and that is not straight-forward. BDRA is structured around three components: data, ontology and visualisation. Each of these components is critical to support the overall framework. This paper describes how these three components are used to get safety knowledge from two data sources by means of ontologies from text documents. This is a part of the ongoing BDRA research that is looking at integrating many large and varied data sources to support railway safety and decision-makers.DOI: http://dx.doi.org/10.4995/CIT2016.2016.1825


Sign in / Sign up

Export Citation Format

Share Document