54 datasets found
  1. Data from: Are Overall Journal Rankings a Good Mapping for Article Quality...

    • tandf.figshare.com
    pdf
    Updated Jun 1, 2023
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    Melody Lo; Yong Bao (2023). Are Overall Journal Rankings a Good Mapping for Article Quality in Specialty Fields? [Dataset]. http://doi.org/10.6084/m9.figshare.1306954.v2
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Melody Lo; Yong Bao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Overall journal rankings, which are generated with sample articles in different research fields, are commonly used to measure the research productivity of academic economists. In this article, we investigate a growing concern in the profession that the use of the overall journal rankings to evaluate scholars’ relative research productivity may exhibit a downward bias toward researchers in some specialty fields if their respective field journals are under-ranked in the overall journals rankings. To address this concern, we constructed new journal rankings based on the intellectual influence of research in 8 specialty fields using a sample consisting of 26,401 articles published across 60 economics journals from 1998 to 2007. We made various comparisons between the newly constructed journal rankings in specialty fields and the traditional overall journal ranking. Our results show that the overall journal ranking provides a considerably good mapping for the article quality in specialty fields. Supplementary materials for this article are available online.

  2. r

    Journal of Political Economy Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Journal of Political Economy Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/602/journal-of-political-economy
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Political Economy Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Political Economy is a monthly peer-reviewed academic journal published by the University of Chicago Press. Established by James Laurence Laughlin in 1892, it covers both theoretical and empirical economics. In the past, the journal published quarterly from its introduction through 1905, ten issues per volume from 1906 through 1921, and bimonthly from 1922 through 2019. The editor-in-chief is Magne Mogstad (University of Chicago). Abstract & Indexing Articles that appear in the Journal of Political Economy are indexed in the following abstracting and indexing services: Ulrich's Periodicals Directory (Print) Ulrichsweb (Online) J-Gate HINARI Association for Asian Studies Bibliography of Asian Studies (Online) Business Index CABI Abstracts on Hygiene and Communicable Diseases (Online) Agricultural Economics Database CAB Abstracts (Commonwealth Agricultural Bureaux) Dairy Science Abstracts (Online) Environmental Impact Global Health Leisure Tourism Database Nutrition and Food Sciences Database Rural Development Abstracts (Online) Soil Science Database Soils and Fertilizers (Online) Tropical Diseases Bulletin (Online) World Agricultural Economics and Rural Sociology Abstracts (Online) Clarivate Analytics Current Contents Social Sciences Citation Index Web of Science De Gruyter Saur Dietrich's Index Philosophicus IBZ - Internationale Bibliographie der Geistes- und Sozialwissenschaftlichen Zeitschriftenliteratur Internationale Bibliographie der Rezensionen Geistes- und Sozialwissenschaftlicher Literatur EBSCOhost America: History and Life ATLA Religion Database (American Theological Library Association) Biography Index: Past and Present (H.W. Wilson) Book Review Digest Plus (H.W. Wilson) Business Source Alumni Edition (Full Text) Business Source Complete (Full Text) Business Source Corporate (Full Text) Business Source Corporate Plus (Full Text) Business Source Elite (Full Text) Business Source Premier (Full Text) Business Source Ultimate (Full Text) Current Abstracts EBSCO MegaFILE (Full Text) EBSCO Periodicals Collection (Full Text) EconLit with Full Text (Full Text) ERIC (Education Resources Information Center) GeoRef Historical Abstracts (Online) Humanities & Social Sciences Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Source Humanities Source Ultimate Index to Legal Periodicals Retrospective: 1908-1981 (H.W. Wilson) Legal Source Library & Information Science Source MLA International Bibliography (Modern Language Association) OmniFile Full Text Mega (H.W. Wilson) Poetry & Short Story Reference Center Political Science Complete Public Affairs Index Readers' Guide Retrospective: 1890-1982 (H.W. Wilson) Russian Academy of Sciences Bibliographies Social Sciences Abstracts Social Sciences Full Text (H.W. Wilson) Social Sciences Index Retrospective: 1907-1983 (H.W. Wilson) SocINDEX SocINDEX with Full Text TOC Premier Women's Studies International Elsevier BV GEOBASE Scopus ERIC (Education Resources Information Center) ERIC (Education Resources Information Center) Gale Academic ASAP Academic OneFile Advanced Placement Government and Social Studies Book Review Index Plus Business & Company ProFile ASAP Business ASAP Business ASAP International Business Collection Business Insights: Essentials Business Insights: Global Business, Economics and Theory Collection Expanded Academic ASAP General Business File ASAP General OneFile General Reference Center Gold General Reference Centre International InfoTrac Custom InfoTrac Student Edition MLA International Bibliography (Modern Language Association) Popular Magazines US History Collection H.W. Wilson Social Sciences Index National Library of Medicine PubMed OCLC ArticleFirst Periodical Abstracts Sociological Abstracts (Online), Selective Ovid EconLit ERIC (Education Resources Information Center) GeoRef ProQuest ABI/INFORM Collection ABI/INFORM Global (American Business Information) ABI/INFORM Research (American Business Information) Business Premium Collection EconLit ERIC (Education Resources Information Center) GeoRef Health Management Database Health Research Premium Collection Hospital Premium Collection International Bibliography of the Social Sciences, Core MLA International Bibliography (Modern Language Association) PAIS Archive Professional ABI/INFORM Complete Professional ProQuest Central ProQuest 5000 ProQuest 5000 International ProQuest Central ProQuest Pharma Collection Research Library Social Science Database Social Science Premium Collection Sociological Abstracts (Online), Selective Worldwide Political Science Abstracts, Selective SCIMP (Selective Cooperative Index of Management Periodicals) Taylor & Francis Educational Research Abstracts Online Wiley-Blackwell Publishing Asia Asian - Pacific Economic Literature (Online)

  3. Best Economics PhD Program Rankings

    • dataandsons.com
    csv, zip
    Updated Aug 16, 2018
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    Sean Lux (2018). Best Economics PhD Program Rankings [Dataset]. https://www.dataandsons.com/categories/social-sciences/best-economics-phd-program-rankings
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    csv, zipAvailable download formats
    Dataset updated
    Aug 16, 2018
    Dataset provided by
    Authors
    Sean Lux
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2014 - Dec 31, 2017
    Description

    About this Dataset

    Data & Sons recently completed our analysis of top tier economics journal publications from 2014 to 2017 and is pleased to announce the world’s top Economics PhD Programs based on alumni productivity.

    Category

    Social Sciences

    Keywords

    economics phd programs,best phd programs,best economics phd programs

    Row Count

    1491

    Price

    Free

  4. k

    World Competitiveness Ranking based on Criteria

    • datasource.kapsarc.org
    Updated Mar 13, 2024
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    (2024). World Competitiveness Ranking based on Criteria [Dataset]. https://datasource.kapsarc.org/explore/dataset/world-competitiveness-ranking-based-on-criteria-2016/
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    Dataset updated
    Mar 13, 2024
    Description

    Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

    Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

    Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

    Follow data.kapsarc.org for timely data to advance energy economics research.

  5. r

    Journal of Political Economy FAQ - ResearchHelpDesk

    • researchhelpdesk.org
    Updated May 26, 2022
    + more versions
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    Research Help Desk (2022). Journal of Political Economy FAQ - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/faq/602/journal-of-political-economy
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    Dataset updated
    May 26, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of Political Economy FAQ - ResearchHelpDesk - The Journal of Political Economy is a monthly peer-reviewed academic journal published by the University of Chicago Press. Established by James Laurence Laughlin in 1892, it covers both theoretical and empirical economics. In the past, the journal published quarterly from its introduction through 1905, ten issues per volume from 1906 through 1921, and bimonthly from 1922 through 2019. The editor-in-chief is Magne Mogstad (University of Chicago). Abstract & Indexing Articles that appear in the Journal of Political Economy are indexed in the following abstracting and indexing services: Ulrich's Periodicals Directory (Print) Ulrichsweb (Online) J-Gate HINARI Association for Asian Studies Bibliography of Asian Studies (Online) Business Index CABI Abstracts on Hygiene and Communicable Diseases (Online) Agricultural Economics Database CAB Abstracts (Commonwealth Agricultural Bureaux) Dairy Science Abstracts (Online) Environmental Impact Global Health Leisure Tourism Database Nutrition and Food Sciences Database Rural Development Abstracts (Online) Soil Science Database Soils and Fertilizers (Online) Tropical Diseases Bulletin (Online) World Agricultural Economics and Rural Sociology Abstracts (Online) Clarivate Analytics Current Contents Social Sciences Citation Index Web of Science De Gruyter Saur Dietrich's Index Philosophicus IBZ - Internationale Bibliographie der Geistes- und Sozialwissenschaftlichen Zeitschriftenliteratur Internationale Bibliographie der Rezensionen Geistes- und Sozialwissenschaftlicher Literatur EBSCOhost America: History and Life ATLA Religion Database (American Theological Library Association) Biography Index: Past and Present (H.W. Wilson) Book Review Digest Plus (H.W. Wilson) Business Source Alumni Edition (Full Text) Business Source Complete (Full Text) Business Source Corporate (Full Text) Business Source Corporate Plus (Full Text) Business Source Elite (Full Text) Business Source Premier (Full Text) Business Source Ultimate (Full Text) Current Abstracts EBSCO MegaFILE (Full Text) EBSCO Periodicals Collection (Full Text) EconLit with Full Text (Full Text) ERIC (Education Resources Information Center) GeoRef Historical Abstracts (Online) Humanities & Social Sciences Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Index Retrospective: 1907-1984 (H.W. Wilson) Humanities Source Humanities Source Ultimate Index to Legal Periodicals Retrospective: 1908-1981 (H.W. Wilson) Legal Source Library & Information Science Source MLA International Bibliography (Modern Language Association) OmniFile Full Text Mega (H.W. Wilson) Poetry & Short Story Reference Center Political Science Complete Public Affairs Index Readers' Guide Retrospective: 1890-1982 (H.W. Wilson) Russian Academy of Sciences Bibliographies Social Sciences Abstracts Social Sciences Full Text (H.W. Wilson) Social Sciences Index Retrospective: 1907-1983 (H.W. Wilson) SocINDEX SocINDEX with Full Text TOC Premier Women's Studies International Elsevier BV GEOBASE Scopus ERIC (Education Resources Information Center) ERIC (Education Resources Information Center) Gale Academic ASAP Academic OneFile Advanced Placement Government and Social Studies Book Review Index Plus Business & Company ProFile ASAP Business ASAP Business ASAP International Business Collection Business Insights: Essentials Business Insights: Global Business, Economics and Theory Collection Expanded Academic ASAP General Business File ASAP General OneFile General Reference Center Gold General Reference Centre International InfoTrac Custom InfoTrac Student Edition MLA International Bibliography (Modern Language Association) Popular Magazines US History Collection H.W. Wilson Social Sciences Index National Library of Medicine PubMed OCLC ArticleFirst Periodical Abstracts Sociological Abstracts (Online), Selective Ovid EconLit ERIC (Education Resources Information Center) GeoRef ProQuest ABI/INFORM Collection ABI/INFORM Global (American Business Information) ABI/INFORM Research (American Business Information) Business Premium Collection EconLit ERIC (Education Resources Information Center) GeoRef Health Management Database Health Research Premium Collection Hospital Premium Collection International Bibliography of the Social Sciences, Core MLA International Bibliography (Modern Language Association) PAIS Archive Professional ABI/INFORM Complete Professional ProQuest Central ProQuest 5000 ProQuest 5000 International ProQuest Central ProQuest Pharma Collection Research Library Social Science Database Social Science Premium Collection Sociological Abstracts (Online), Selective Worldwide Political Science Abstracts, Selective SCIMP (Selective Cooperative Index of Management Periodicals) Taylor & Francis Educational Research Abstracts Online Wiley-Blackwell Publishing Asia Asian - Pacific Economic Literature (Online)

  6. f

    Misconduct, Marginality and Editorial Practices in Management, Business and...

    • plos.figshare.com
    7z
    Updated Jun 3, 2023
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    Solmaz Filiz Karabag; Christian Berggren (2023). Misconduct, Marginality and Editorial Practices in Management, Business and Economics Journals [Dataset]. http://doi.org/10.1371/journal.pone.0159492
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    7zAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Solmaz Filiz Karabag; Christian Berggren
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ObjectivesThe paper presents data on the two problems of misconduct and marginality in management, business and economics (MBE) journals and their practices to combat these problems.DesignData was collected in three phases. First, all publicly retracted papers in MBE journals were identified through keywords searches in 7 major databases (n = 1329 journals). Second, a focused survey was distributed to editors involved in such retractions (n = 64; response rate = 28%). Finally, a survey was administered to all active journals in the seven databases to collect data on editors’ perceptions and practices related to the two problems (n = 937, response rate = 31.8%). Frequency analyses, cross tabulations, and qualitative analyses of open answers were used to examine the data.Results184 retracted papers in MBE journals were identified in 2005–2015 (no retraction was found before 2005). From 2005–2007 to 2012–2015, the number of retractions increased by a factor ten with an all-time high in 2015. The survey to journals with reported retractions illustrates how already a few cases of suspected misconduct put a strain on the editorial workload. The survey to all active journals revealed that 42% of the respondents had started to use software to screen all submitted papers, and that a majority recognized the problem of marginality, as indicated by salami-style submissions. According to some editors, reviewers easily spot such submissions whereas others argued that authors may submit thinly sliced papers in parallel to several journals, which means that this practice is only discovered post-publication. The survey question on ways to support creative contributions stimulated a rich response of ideas regarding editorial vision, engaged boards and developmental approaches. The study uses data from three specialized fields, but its findings may be highly relevant to many journals in the social sciences.

  7. f

    Panel Tobit regressions: Ranking of publications using IDEAS journal...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Sergey V. Popov (2023). Panel Tobit regressions: Ranking of publications using IDEAS journal rankings. [Dataset]. http://doi.org/10.1371/journal.pone.0278320.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sergey V. Popov
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Panel Tobit regressions: Ranking of publications using IDEAS journal rankings.

  8. Country Socioeconomic Status Scores, Part II

    • kaggle.com
    Updated Jul 14, 2017
    + more versions
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    sdorius (2017). Country Socioeconomic Status Scores, Part II [Dataset]. https://www.kaggle.com/datasets/sdorius/countryses/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 14, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    sdorius
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    This dataset contains estimates of the socioeconomic status (SES) position of each of 149 countries covering the period 1880-2010. Measures of SES, which are in decades, allow for a 130 year time-series analysis of the changing position of countries in the global status hierarchy. SES scores are the average of each country’s income and education ranking and are reported as percentile rankings ranging from 1-99. As such, they can be interpreted similarly to other percentile rankings, such has high school standardized test scores. If country A has an SES score of 55, for example, it indicates that 55 percent of the countries in this dataset have a lower average income and education ranking than country A. ISO alpha and numeric country codes are included to allow users to merge these data with other variables, such as those found in the World Bank’s World Development Indicators Database and the United Nations Common Database.

    See here for a working example of how the data might be used to better understand how the world came to look the way it does, at least in terms of status position of countries.

    VARIABLE DESCRIPTIONS:

    unid: ISO numeric country code (used by the United Nations)

    wbid: ISO alpha country code (used by the World Bank)

    SES: Country socioeconomic status score (percentile) based on GDP per capita and educational attainment (n=174)

    country: Short country name

    year: Survey year

    gdppc: GDP per capita: Single time-series (imputed)

    yrseduc: Completed years of education in the adult (15+) population

    region5: Five category regional coding schema

    regionUN: United Nations regional coding schema

    DATA SOURCES:

    The dataset was compiled by Shawn Dorius (sdorius@iastate.edu) from a large number of data sources, listed below. GDP per Capita:

    1. Maddison, Angus. 2004. 'The World Economy: Historical Statistics'. Organization for Economic Co-operation and Development: Paris. GDP & GDP per capita data in (1990 Geary-Khamis dollars, PPPs of currencies and average prices of commodities). Maddison data collected from: http://www.ggdc.net/MADDISON/Historical_Statistics/horizontal-file_02-2010.xls.

    2. World Development Indicators Database Years of Education 1. Morrisson and Murtin.2009. 'The Century of Education'. Journal of Human Capital(3)1:1-42. Data downloaded from http://www.fabricemurtin.com/ 2. Cohen, Daniel & Marcelo Cohen. 2007. 'Growth and human capital: Good data, good results' Journal of economic growth 12(1):51-76. Data downloaded from http://soto.iae-csic.org/Data.htm

    3. Barro, Robert and Jong-Wha Lee, 2013, "A New Data Set of Educational Attainment in the World, 1950-2010." Journal of Development Economics, vol 104, pp.184-198. Data downloaded from http://www.barrolee.com/

    4. Maddison, Angus. 2004. 'The World Economy: Historical Statistics'. Organization for Economic Co-operation and Development: Paris. 13.

    5. United Nations Population Division. 2009.

  9. r

    Journal of agricultural economics Impact Factor 2024-2025 - ResearchHelpDesk...

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Journal of agricultural economics Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/105/journal-of-agricultural-economics
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of agricultural economics Impact Factor 2024-2025 - ResearchHelpDesk - Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. A leading journal for the discipline worldwide - consistently highly ranked in the Agricultural Economics & Policy category of ISI A dynamic, international, applied social science journal dealing with agriculture, food and related industries, rural development and the environment Articles on developments in research and methods of analysis as well as the application of existing methods and techniques to new problems and situations Aims and Scope Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership. Journal of Agricultural Economics - Keywords Agricultural economics, agriculture, resource economics, technical efficiency, consumer behaviour, contingent valuation, stated preference, willingness to pay, choice experiments, revealed preference, switching regression. Abstracting & Indexing Details Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) AgBiotech News & Information (CABI) AgeLine Database (EBSCO Publishing) AGRICOLA Database (National Agricultural Library) Agricultural & Environmental Science Database (ProQuest) Agricultural Engineering Abstracts (CABI) Animal Breeding Abstracts (CABI) AgBiotechNet (CABI) Biofuels Abstracts (CABI) Biological & Agricultural Index Plus (EBSCO Publishing) CAB Abstracts® (CABI) Current Contents: Agriculture, Biology & Environmental Sciences (Clarivate Analytics) Current Contents: Social & Behavioral Sciences (Clarivate Analytics) Dairy Science Abstracts (CABI) EconLit (AEA) Field Crop Abstracts (CABI) GeoRef (AGI) Global Health (CABI) Grasslands & Forage Abstracts (CABI) Horticultural Science Abstracts (CABI) Irrigation & Drainage Abstracts (CABI) Journal Citation Reports/Science Edition (Clarivate Analytics) Journal Citation Reports/Social Science Edition (Clarivate Analytics) Maize Abstracts (CABI) Natural Science Collection (ProQuest) Nutrition Abstracts & Reviews Series A: Human & Experimental (CABI) Nutrition Abstracts & Reviews Series B: Livestock Feeds & Feeding (CABI) Ornamental Horticulture (CABI) Periodical Index Online (ProQuest) Postharvest News & Information (CABI) Pig News & Information (CABI) Plant Breeding Abstracts (CABI) ProQuest Politics Collection (ProQuest) Plant Genetic Resources Abstracts (CABI) GEOBASE (Elsevier) Poultry Abstracts (CABI) Proquest Business Collection (ProQuest) ProQuest Sociology Collection (ProQuest) RePEc: Research Papers in Economics Review of Agricultural Entomology (CABI) Review of Medical & Veterinary Entomology (CABI) Rice Abstracts (CABI) Rural Development Abstracts (CABI) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Seed Abstracts (CABI) Tropical Diseases Bulletin (CABI) Social Science Premium Collection (ProQuest) Social Sciences Citation Index (Clarivate Analytics) Soils & Fertilizers Abstracts (CABI) SciTech Premium Collection (ProQuest) Soybean Abstracts Online (CABI) Sugar Industry Abstracts (CABI) Veterinary Bulletin (CABI) VINITI (All-Russian Institute of Science & Technological Information) Viticulture & Enology Abstracts (Vitis) Wheat, Barley & Triticale Abstracts (CABI) World Agricultural Economics & Rural Sociology Abstracts (CABI)

  10. o

    Replication materials for: Trends in the publication of experimental...

    • openicpsr.org
    Updated Jun 28, 2022
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    Ernesto Reuben; Sherry Xin Li; Sigrid Suetens; Andrej Svorenčík; Theodore Turocy; Vasileios Kotsidis (2022). Replication materials for: Trends in the publication of experimental economics articles [Dataset]. http://doi.org/10.3886/E173861V1
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    Dataset updated
    Jun 28, 2022
    Authors
    Ernesto Reuben; Sherry Xin Li; Sigrid Suetens; Andrej Svorenčík; Theodore Turocy; Vasileios Kotsidis
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    We report data on the experimental articles published from 2000 to 2021 in seven leading general-interest economics journals. We also look at time trends in the characteristics of the published experimental articles, including citations and the nationality of the authors. We find an overall increasing trend in the publication of non-lab experiments in all journals. By contrast, the share of lab experiments has more than halved in the AER and remained low in other Top 5 journals. The diverging trends for non-lab and lab experiments are not universal as the shares of both have increased in two other high-ranking economics journals (JEEA and EJ). We also observe some heterogeneities in publication, citations, rankings, and locations of authors' affiliations across journals and types of experiments.

  11. Rank Correlations for Economics Articles Published in 1999.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    David I. Stern (2023). Rank Correlations for Economics Articles Published in 1999. [Dataset]. http://doi.org/10.1371/journal.pone.0112520.t013
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    David I. Stern
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Rank Correlations for Economics Articles Published in 1999.

  12. A

    ‘Country Socioeconomic Status Scores: 1880-2010’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Nov 24, 2018
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2018). ‘Country Socioeconomic Status Scores: 1880-2010’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-country-socioeconomic-status-scores-1880-2010-3da0/latest
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    Dataset updated
    Nov 24, 2018
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Country Socioeconomic Status Scores: 1880-2010’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/sdorius/globses on 14 February 2022.

    --- Dataset description provided by original source is as follows ---

    This dataset contains estimates of the socioeconomic status (SES) position of each of 149 countries covering the period 1880-2010. Measures of SES, which are in decades, allow for a 130 year time-series analysis of the changing position of countries in the global status hierarchy. SES scores are the average of each country’s income and education ranking and are reported as percentile rankings ranging from 1-99. As such, they can be interpreted similarly to other percentile rankings, such has high school standardized test scores. If country A has an SES score of 55, for example, it indicates that 55 percent of the world’s people live in a country with a lower average income and education ranking than country A. ISO alpha and numeric country codes are included to allow users to merge these data with other variables, such as those found in the World Bank’s World Development Indicators Database and the United Nations Common Database.

    See here for a working example of how the data might be used to better understand how the world came to look the way it does, at least in terms of status position of countries.

    VARIABLE DESCRIPTIONS: UNID: ISO numeric country code (used by the United Nations) WBID: ISO alpha country code (used by the World Bank) SES: Socioeconomic status score (percentile) based on GDP per capita and educational attainment (n=174) country: Short country name year: Survey year SES: Socioeconomic status score (1-99) for each of 174 countries gdppc: GDP per capita: Single time-series (imputed) yrseduc: Completed years of education in the adult (15+) population popshare: Total population shares

    DATA SOURCES: The dataset was compiled by Shawn Dorius (sdorius@iastate.edu) from a large number of data sources, listed below. GDP per Capita: 1. Maddison, Angus. 2004. 'The World Economy: Historical Statistics'. Organization for Economic Co-operation and Development: Paris. Maddison population data in 000s; GDP & GDP per capita data in (1990 Geary-Khamis dollars, PPPs of currencies and average prices of commodities). Maddison data collected from: http://www.ggdc.net/MADDISON/Historical_Statistics/horizontal-file_02-2010.xls. 2. World Development Indicators Database Years of Education 1. Morrisson and Murtin.2009. 'The Century of Education'. Journal of Human Capital(3)1:1-42. Data downloaded from http://www.fabricemurtin.com/ 2. Cohen, Daniel & Marcelo Cohen. 2007. 'Growth and human capital: Good data, good results' Journal of economic growth 12(1):51-76. Data downloaded from http://soto.iae-csic.org/Data.htm 3. Barro, Robert and Jong-Wha Lee, 2013, "A New Data Set of Educational Attainment in the World, 1950-2010." Journal of Development Economics, vol 104, pp.184-198. Data downloaded from http://www.barrolee.com/ Total Population 1. Maddison, Angus. 2004. 'The World Economy: Historical Statistics'. Organization for Economic Co-operation and Development: Paris. 13.
    2. United Nations Population Division. 2009.

    --- Original source retains full ownership of the source dataset ---

  13. D

    Replication Data for: "Good mine, bad mine: Natural resource heterogeneity...

    • dataverse.nl
    Updated Feb 19, 2021
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    Paul Pelzl; Steven Poelhekke; Steven Poelhekke; Paul Pelzl (2021). Replication Data for: "Good mine, bad mine: Natural resource heterogeneity and Dutch disease in Indonesia", Journal of International Economics [Dataset]. http://doi.org/10.34894/ZXNEQ7
    Explore at:
    pdf(63797), xlsx(687446), application/x-stata-syntax(344), application/x-stata-syntax(1099), application/x-stata-syntax(264), application/x-stata-syntax(369), xlsx(16950), application/x-stata-syntax(701), application/x-stata-syntax(336), application/x-stata-syntax(2577), application/x-stata-syntax(271), docx(44039), application/x-stata-syntax(1427), application/x-stata-syntax(749), application/x-stata-syntax(2022), pdf(248320), application/x-stata-syntax(285), pdf(62348), application/x-stata-syntax(584), application/x-stata-syntax(280), application/x-stata-syntax(573), application/x-stata-syntax(2659), docx(3140563)Available download formats
    Dataset updated
    Feb 19, 2021
    Dataset provided by
    DataverseNL
    Authors
    Paul Pelzl; Steven Poelhekke; Steven Poelhekke; Paul Pelzl
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Replication Data for: "Good mine, bad mine: Natural resource heterogeneity and Dutch disease in Indonesia", Journal of International Economics, 2021

  14. Data for Impulse balance and framing effects in threshold public good games

    • figshare.com
    bin
    Updated Dec 29, 2018
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    Edward Cartwright; Anna Stepanova; Lian Xue (2018). Data for Impulse balance and framing effects in threshold public good games [Dataset]. http://doi.org/10.6084/m9.figshare.7531601.v1
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    binAvailable download formats
    Dataset updated
    Dec 29, 2018
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Edward Cartwright; Anna Stepanova; Lian Xue
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Stata data file for 'Impulse balance and framing effects in threshold public good games' published in Journal of Public Economic theory

  15. Replication data for: Replications in Development Economics

    • openicpsr.org
    Updated May 1, 2017
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    Sandip Sukhtankar (2017). Replication data for: Replications in Development Economics [Dataset]. http://doi.org/10.3886/E113533V1
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    Dataset updated
    May 1, 2017
    Dataset provided by
    American Economic Associationhttp://www.aeaweb.org/
    Authors
    Sandip Sukhtankar
    Description

    I examine replications of empirical papers in development economics published in the top-5 and next-5 general interest journals between the years 2000 through 2015. Of the 1,138 empirical papers, 71 papers (6.2 percent) were replicated in another published paper or working paper. The majority (77.5 percent) of replications involved reanalysis of the data using different econometric specifications to assess robustness. The strongest predictor of whether a paper is replicated or not is the paper's Google Scholar citation count, followed by year of publication. Papers based on randomized control trials (RCTs) appear to be replicated at a higher rate (12.5 percent).

  16. f

    Data from: Mexico: the Great Depression and the Coronacrisis, 1929 and 2020

    • scielo.figshare.com
    tiff
    Updated May 31, 2023
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    EDUARDO LORÍA (2023). Mexico: the Great Depression and the Coronacrisis, 1929 and 2020 [Dataset]. http://doi.org/10.6084/m9.figshare.22774622.v1
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    tiffAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    EDUARDO LORÍA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Mexico
    Description

    ABSTRACT By contrasting the Great Depression and the Coronacrisis, we demonstrate that narrative economics (Shiller, 2017) is key in the analysis of economic fluctuations. We note the importance of the populist narrative to understand the economic and health outcomes of the Coronacrisis in Mexico and highlight the role of the predominance of different economic paradigms in economic policy decision-making. We suggest that, just as in 1929, by following orthodox primary fiscal balance sheet policies at the cost of contracting government investment, the Mexican economy will undergo a long and painful recovery process compared to its global peers.

  17. Data for: The Oligopoly of Academic Publishers in the Digital Era

    • figshare.com
    xlsx
    Updated May 30, 2023
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    Stefanie Haustein; Vincent Larivière; Philippe Mongeon (2023). Data for: The Oligopoly of Academic Publishers in the Digital Era [Dataset]. http://doi.org/10.6084/m9.figshare.1447274.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Stefanie Haustein; Vincent Larivière; Philippe Mongeon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Description Data and figures for paper published in PLOS ONE:Larivière, V., Haustein, S. & Mongeon, P. (2015). The oligopoly of academic publishers in the digital era. PLoS ONE, 10(6), e0127502. doi:10.1371/journal.pone.0127502

    Abstract. The consolidation of the scientific publishing industry has been the topic of much debate within and outside the scientific community, especially in relation to major publishers’ high profit margins. However, the share of scientific output published in the journals of these major publishers, as well as its evolution over time and across various disciplines, has not yet been analyzed. This paper provides such analysis, based on 45 million documents indexed in the Web of Science over the period 1973-2013. It shows that in both natural and medical sciences (NMS) and social sciences and humanities (SSH), Reed-Elsevier, Wiley-Blackwell, Springer, and Taylor & Francis increased their share of the published output, especially since the advent of the digital era (mid-1990s). Combined, the top five most prolific publishers account for more than 50% of all papers published in 2013. Disciplines of the social sciences have the highest level of concentration (70% of papers from the top five publishers), while the humanities have remained relatively independent (20% from top five publishers). NMS disciplines are in between, mainly because of the strength of their scientific societies, such as the ACS in chemistry or APS in physics. The paper also examines the migration of journals between small and big publishing houses and explores the effect of publisher change on citation impact. It concludes with a discussion on the economics of scholarly publishing.

  18. m

    Data from: Regional Convergence in the European Union - Factors of Growth...

    • data.mendeley.com
    Updated Sep 20, 2023
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    Jan Pintera (2023). Regional Convergence in the European Union - Factors of Growth Between the Great Recession and the COVID Crisis [Dataset]. http://doi.org/10.17632/mcmkwc2394.1
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    Dataset updated
    Sep 20, 2023
    Authors
    Jan Pintera
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    European Union
    Description

    Replication package for the paper above, published in the Economic Systems Journal.

  19. f

    Random effects regressions: Ranking of publications using only solo authored...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Sergey V. Popov (2023). Random effects regressions: Ranking of publications using only solo authored papers. [Dataset]. http://doi.org/10.1371/journal.pone.0278320.t008
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sergey V. Popov
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Random effects regressions: Ranking of publications using only solo authored papers.

  20. Top 10 journals in carbon emission research.

    • plos.figshare.com
    xls
    Updated Jul 20, 2023
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    Caiyun Chen; Wei Liu (2023). Top 10 journals in carbon emission research. [Dataset]. http://doi.org/10.1371/journal.pone.0288661.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 20, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Caiyun Chen; Wei Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Addressing global warming is one of the most pressing environmental challenges and a crucial agenda for humanity. In this literature study, we employed bibliometrics to reproduce nearly two decades of research on carbon emission reduction in China, the largest carbon emitter worldwide. The scientometrics analysis was conducted on 1570 academic works published between 2001 and 2021 concerning China’s carbon emission reduction to characterize the knowledge landscape. Using CiteSpace and VOSviewer, the basic characteristics, research forces, knowledge base, research topic evolution, and research hotspots were identified and revealed. The analysis results show that the attention to and research on China’s carbon emissions have increased in recent years, giving rise to leading institutions and relatively stable core journal groups in this field. The research disciplines are relatively concentrated, but the research collaboration needs strengthening. The research hotspots are mainly carbon emission causes, impacts, and countermeasures in China, and the research frontiers have been constantly advanced and expanded. In the future, research on countermeasures needs more effort, and research cooperation needs to strengthen. The changing landscape of hotspot clusters reveals China’s transition towards a low-carbon economy. Through comprehensive analysis of the potential and obstacles to China’s transition to low-carbon development, we identified three promising areas of action (low-carbon cities, low-carbon technologies and industries, and transforming China’s energy system) and proposed research directions to address remaining gaps systematically.

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Melody Lo; Yong Bao (2023). Are Overall Journal Rankings a Good Mapping for Article Quality in Specialty Fields? [Dataset]. http://doi.org/10.6084/m9.figshare.1306954.v2
Organization logo

Data from: Are Overall Journal Rankings a Good Mapping for Article Quality in Specialty Fields?

Related Article
Explore at:
pdfAvailable download formats
Dataset updated
Jun 1, 2023
Dataset provided by
Taylor & Francishttps://taylorandfrancis.com/
Authors
Melody Lo; Yong Bao
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Overall journal rankings, which are generated with sample articles in different research fields, are commonly used to measure the research productivity of academic economists. In this article, we investigate a growing concern in the profession that the use of the overall journal rankings to evaluate scholars’ relative research productivity may exhibit a downward bias toward researchers in some specialty fields if their respective field journals are under-ranked in the overall journals rankings. To address this concern, we constructed new journal rankings based on the intellectual influence of research in 8 specialty fields using a sample consisting of 26,401 articles published across 60 economics journals from 1998 to 2007. We made various comparisons between the newly constructed journal rankings in specialty fields and the traditional overall journal ranking. Our results show that the overall journal ranking provides a considerably good mapping for the article quality in specialty fields. Supplementary materials for this article are available online.

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