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Journal of Economic Structures最新文献

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Smooth transition regression model relating inflation to economic growth in Tunisia 突尼斯通货膨胀与经济增长的平滑过渡回归模型
Q1 Economics, Econometrics and Finance Pub Date : 2023-09-22 DOI: 10.1186/s40008-023-00308-9
Hamdi Becha, Maha Kalai, Kamel Helali
Abstract Since its independence, Tunisia has embarked on monetary and financial sector reforms aimed at boosting economic growth. However, these reforms have not been effective due to inflation pressures in this country. Thus, this paper examines the nature of the relationship between financial development and economic growth between 1965 and 2019, using the non-linear logistic smooth transition regression model and considering inflation as a threshold financial development. The results show the existence of a non-linear abrupt relationship with an inflation threshold equal to 3.63%. Specifically, when inflation is below 3.63%, all variables, including inflation, have a significant and positive impact on economic growth. However, when inflation exceeds the estimated threshold, inflation has a significant and negative impact with an elasticity equal to − 0.365. To effectively manage inflation, the Tunisian authorities are encouraged to set and embrace specific inflation targets as a goal. This approach aims to mitigate inflationary pressures and foster a favourable environment for financial development in Tunisia, thereby promoting economic growth. Hence, it becomes imperative to implement such measures that alleviate inflationary pressures and drive economic growth through the facilitation of development finance by the banking sector.
自独立以来,突尼斯开始了旨在促进经济增长的货币和金融部门改革。然而,由于这个国家的通货膨胀压力,这些改革并没有奏效。因此,本文采用非线性logistic平滑过渡回归模型,并将通货膨胀作为金融发展的阈值,考察了1965年至2019年间金融发展与经济增长之间关系的本质。结果表明,通货膨胀阈值为3.63%时,存在非线性突变关系。具体来说,当通货膨胀低于3.63%时,包括通货膨胀在内的所有变量对经济增长都有显著的正向影响。然而,当通货膨胀超过估计阈值时,通货膨胀具有显著的负面影响,其弹性等于- 0.365。为了有效地管理通货膨胀,鼓励突尼斯当局制定并接受具体的通货膨胀目标作为目标。这一办法的目的是减轻通货膨胀压力,为突尼斯的金融发展营造有利的环境,从而促进经济增长。因此,必须执行这些措施,减轻通货膨胀压力,并通过促进银行部门提供发展资金来推动经济增长。
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引用次数: 0
Implications of AI innovation on economic growth: a panel data study 人工智能创新对经济增长的影响:面板数据研究
Q1 Economics, Econometrics and Finance Pub Date : 2023-09-09 DOI: 10.1186/s40008-023-00307-w
Julius Tan Gonzales
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引用次数: 0
Regional economic analysis of major areas in South Korea: using 2005–2010–2015 multi-regional input–output tables 韩国主要地区的区域经济分析:使用2005-2000-2015年多区域投入产出表
Q1 Economics, Econometrics and Finance Pub Date : 2023-09-09 DOI: 10.1186/s40008-023-00304-z
Seongha Lee, Taku Ishiro
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引用次数: 0
Did real economic uncertainty drive risk connectedness in the oil–stock nexus during the COVID-19 outbreak? A partial wavelet coherence analysis 在2019冠状病毒病爆发期间,真正的经济不确定性是否推动了石油-股票关系的风险关联性?局部小波相干分析
Q1 Economics, Econometrics and Finance Pub Date : 2023-09-07 DOI: 10.1186/s40008-023-00306-x
Mohammad Al-Shboul, A. Maghyereh
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引用次数: 1
Industrial policy and labour productivity growth in Africa: does the technology choice matter? 非洲的工业政策和劳动生产率增长:技术选择重要吗?
Q1 Economics, Econometrics and Finance Pub Date : 2023-09-01 DOI: 10.1186/s40008-023-00305-y
Kouakou Jean Fidele Sié
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引用次数: 0
An analysis of the effect of fiscal expenditure on the income distribution of Chilean households 财政支出对智利家庭收入分配的影响分析
Q1 Economics, Econometrics and Finance Pub Date : 2023-07-12 DOI: 10.1186/s40008-023-00302-1
Nicolás Garrido, Jeffrey Morales
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引用次数: 0
Linkages between different types of globalization and socio-economic variables: panel data analysis for 129 countries 不同类型的全球化与社会经济变量之间的联系:129个国家的面板数据分析
Q1 Economics, Econometrics and Finance Pub Date : 2023-06-12 DOI: 10.1186/s40008-023-00301-2
Ayesha Naz
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引用次数: 1
The effects of new technology on productivity: technological improvement and reallocation efficiency in the Japanese steelmaking industry 新技术对生产率的影响:日本钢铁工业的技术改进与再配置效率
Q1 Economics, Econometrics and Finance Pub Date : 2023-06-11 DOI: 10.1186/s40008-023-00300-3
Ryuki Kobayashi
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引用次数: 0
Evaluation of environmental energy efficiency and its influencing factors: a prefecture-level analysis of Japanese manufacturing industries 环境能源效率评价及其影响因素——日本制造业的地市级分析
Q1 Economics, Econometrics and Finance Pub Date : 2023-04-17 DOI: 10.1186/s40008-023-00297-9
M. Shimizu, O. Tiku
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引用次数: 0
The impact of digital financial inclusion on household carbon emissions: evidence from China 数字普惠金融对家庭碳排放的影响:来自中国的证据
Q1 Economics, Econometrics and Finance Pub Date : 2023-02-16 DOI: 10.1186/s40008-023-00296-w
Yu Zhou, Caijiang Zhang, Zhang Li
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引用次数: 0
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Journal of Economic Structures
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