AUSTRALIAN ECONOMIC PAPERS澳大利亚经济论文

AUSTRALIAN ECONOMIC PAPERS(英文缩写 AUST ECON PAP),ISSN 0004-900X,eISSN 1467-8454,中文译名:澳大利亚经济论文 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
1.300
JCR 分区
Q3
CAS 分区
B4
近一年发文量
0
本站 PubMed 收录统计

发文量统计区间:2025-11-01 至 2026-10-31,按本站收录文献的发表日期统计。

ISSN: 0004-900X · eISSN: 1467-8454 · 缩写: AUST ECON PAP ·中文: 澳大利亚经济论文

期刊介绍

选择期刊介绍栏目

期刊简介

《Australian Economic Papers》是一本综合性经济学学术期刊,创刊于1962年,由Wiley-Blackwell出版。该刊涵盖微观经济学、宏观经济学、计量经济学、劳动经济学、产业组织、国际贸易与金融等广泛领域,尤其关注理论创新与实证分析。读者群主要为经济学者、政策研究人员及高校师生。期刊鼓励对澳大利亚及亚太经济问题的研究,但也欢迎全球视角的投稿。

研究方向

主要发表经济学各领域的原创研究论文,包括理论探讨、实证分析、政策评估和综述文章。主题涉及微观与宏观经济学、计量方法、劳动、产业、国际贸易、金融、发展经济学等。论文类型以全文研究为主,偶尔刊发短论和书评。

期刊特色

研究取向兼顾理论与实证,强调方法严谨性和政策相关性。论文通常篇幅适中,注重清晰的经济逻辑和可靠的数据分析。适合经济学研究者、政策制定者及高年级学生阅读,尤其对关注澳大利亚和亚太经济问题的读者有参考价值。

投稿难度

投稿难度中等偏上,对理论深度和实证方法有较高要求。建议投稿前确保研究问题明确、文献综述充分、计量方法得当,并注重论文的写作质量。由于期刊覆盖面广,竞争程度因具体领域而异,不宜仅凭分区简单判断录用可能性。

历年影响因子趋势

JCR 数据年份影响因子JCR 分区
20211.452Q3
20221.900Q3
20231.200Q3
20241.700Q2
20251.300Q3

AUSTRALIAN ECONOMIC PAPERS 最新收录文献

  1. JCR分区: Q3 CAS分区: B4 影响因子: 1.3

    1. Impact of government policy responses of COVID-19 pandemic on stock market liquidity for Australian companies.

    作者:
    Talie Kassamany, Bernard Zgheib
    日期:
    2022-10-02

    This study investigates the impact of government policy responses of COVID-19 pandemic on stock market liquidity for listed Australian companies and for 11 different industries separately. A quantitative deductive approach is used for a sample of 1,452 companies with a total of 292,164 firm-day observations over a period from January 25, 2020 to December 31, 2020 during the outbreak of COVID-19. Univariate and multivariate (two-way cluster-robust panel regression) analysis were conducted. Data were collected from the Oxford COVID-19 Government Response Tracker, Worldmeter, Refinitiv Workspace and Datastream. Our findings indicate that the influences of the six out of seven stringency policy responses reduced Australian equity market liquidity. However, public information campaigns enhanced market liquidity and hence trading activity. Among the 11 industries, our analysis shows that the non-pharmaceutical interventions by the Australian government have significant and positive effects on four industries: Consumer non-cyclicals, healthcare, financial and technology. However, the worse effects were depicted in the industrial (transportation) and energy industries. This study is important for investors, policymakers and regulators to understand the diverse effects of government policy responses of COVID-19 on stock market liquidity to enhance financial stability. Moreover, understanding this effect is particularly important to decision-makers such as portfolio and fund managers to manage their portfolios and trading activities during extreme turbulence times, such as COVID-19. Unlike previous studies that focus on country analysis, this study examines on firm basis the impact of government interventions on stock market liquidity in a well developed Australian stock market.

  2. JCR分区: Q3 CAS分区: B4 影响因子: 1.3

    2. COVID-19 outbreak and sectoral performance of the Australian stock market: An event study analysis.

    作者:
    Md Mahmudul Alam, Haitian Wei, Abu N M Wahid
    日期:
    2020-11-27

    The outbreak of COVID-19 has weakened the economy of Australia and its capital market since early 2020. The overall stock market has declined. However, some sectors become highly vulnerable while others continue to perform well even in the crisis period. Given this new reality, we seek to investigate the initial volatility and the sectoral return. In this study, we analyse data for eight sectors such as, transportation, pharmaceuticals, healthcare, energy, food, real estate, telecommunications and technology of the Australian stock market. In doing so, we obtain data from Australian Securities Exchange (ASX) and analysed them based on 'Event Study' method. Here, we use the 10-days window for the event of official announcement of the COVID-19 outbreak in Australia on 27 February 2020. The findings of the study show that on the day of announcement, the indices for food, pharmaceuticals and healthcare exhibit impressive positive returns. Following the announcement, the telecommunications, pharmaceuticals and healthcare sectors exhibit good performance, while poor performance is demonstrated by the transportation industry. The findings are vital for investors, market participants, companies, private and public policymakers and governments to develop recovery action plans for vulnerable sectors and enable investors to regain their confidence to make better investment decisions.

  3. JCR分区: Q3 CAS分区: B4 影响因子: 1.3

    3. Population growth and the benefits from optimally priced externalities.

    作者:
    H R Clarke, Ng Y-k
    日期:
    1995-06

    "In this article we show that, considering only economic effects, even if population growth, by natural increase or immigration, increases congestion, pollution, and other forms of external costs, that provided pre-existing citizens own the resources giving rise to the externalities, and provided they efficiently price usage of such, that existing citizens must, in net average terms, be better off with population growth than without it. In simple terms the increased revenues they gain from efficient pricing at increased demand levels will be strictly greater than the monetary value of the increased external costs together with the higher tax costs they incur as consumers of the resources."

  4. JCR分区: Q3 CAS分区: B4 影响因子: 1.3

    4. Measuring the cost of children.

    4. 衡量儿童的成本
    作者:
    B Bradbury
    日期:
    1994-06

    "The purpose of this paper is to present a survey and synthesis of those economic models that have been used to derive estimates of marginal child costs from cross-sectional data on household expenditure patterns [in Australia].... In the next section the argument that the 'costs of children' should not be a concern of social policy is considered (and rejected). Section III then summarises the models.... In Section IV an Engel curve system estimated from the 1988-89 Household Expenditure Survey is used to compare [the models].... In the concluding section some directions for further research and data collection strategies are discussed."

  5. JCR分区: Q3 CAS分区: B4 影响因子: 1.3
  6. JCR分区: Q3 CAS分区: B4 影响因子: 1.3

    6. Economic models of fertility behaviour in Australia.

    6. 澳大利亚生育行为的经济模型
    作者:
    P W Miller
    日期:
    1988-06

    The author analyses individual fertility patterns in Australia from the perspective of recent economic models of the family. The emphasis is on the relationship between fertility and economic variables such as human capital, market wages, and wealth. "Several dimensions of fertility are considered, including 'quality' of children, completed family size, and the decision whether to have children or not." Data are from the 1973 Social Mobility in Australia Survey.

  7. JCR分区: Q3 CAS分区: B4 影响因子: 1.3
  8. JCR分区: Q3 CAS分区: B4 影响因子: 1.3

    8. Modelling the peopling of Australia: 1900-1930.

    作者:
    D Pope
    日期:
    1981-12

    An analysis of migration from the United Kingdom to Australia during the period 1900 to 1930 is presented. The author attempts "first to explicitly develop and estimate a model of the behavioural relations of the two blades of the Marshallian scissors, rather than mixing supply and demand (under the polyglot terms of 'push-pull') in a single equation without regard to the problem of identification. And second, [he attempts] to incorporate in these structural equations key elements of government intervention in the migration process." The relationship between economic factors and Australian government support for immigration is considered. The author also identifies three factors influencing annual variations in the flow of migration from the United Kingdom: expected income gains, transport costs, and the costs of job search.

  9. JCR分区: Q3 CAS分区: B4 影响因子: 1.3

    9. The long and the short in migration decisions: an American case study.

    9. 移民决策中的长远与短期考量:一个美国案例研究
    作者:
    F Gill
    日期:
    1980

    该文献暂无摘要。

  10. JCR分区: Q3 CAS分区: B4 影响因子: 1.3

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指标接近的期刊