INTERNATIONAL ECONOMIC JOURNAL最新文献_第5页

Quantifying the Effect of Economic Sanctions on Trade in Cultural Goods 量化经济制裁对文化产品贸易的影响

IF 1.1

INTERNATIONAL ECONOMIC JOURNAL Pub Date : 2023-06-01 DOI: 10.1080/10168737.2023.2220300

N. Doan, M. Tran

引用次数: 0

Impact of Oil and Agricultural Shocks on the Financial Markets of Emerging Market Economies 石油和农业冲击对新兴市场经济体金融市场的影响

IF 1.1

INTERNATIONAL ECONOMIC JOURNAL Pub Date : 2023-04-03 DOI: 10.1080/10168737.2023.2207086

L. Attílio

引用次数: 1

Unequal Welfare Gains From Trade Across Countries: The Role of Aggregation and Income Elasticities 各国贸易带来的不平等福利收益:聚集性和收入弹性的作用

IF 1.1

INTERNATIONAL ECONOMIC JOURNAL Pub Date : 2023-04-03 DOI: 10.1080/10168737.2023.2207847

H. Yilmazkuday

引用次数: 0

How ICTs Moderate the Effect of Global Value Chains’ Participation on Economic Growth in Sub-Saharan Africa? 信息通信技术如何调节全球价值链参与对撒哈拉以南非洲经济增长的影响?

IF 1.1

INTERNATIONAL ECONOMIC JOURNAL Pub Date : 2023-04-03 DOI: 10.1080/10168737.2023.2212268

Hodabalo Bataka, Wonyra Kwami Ossadzifo

{"title":"How ICTs Moderate the Effect of Global Value Chains’ Participation on Economic Growth in Sub-Saharan Africa?","authors":"Hodabalo Bataka, Wonyra Kwami Ossadzifo","doi":"10.1080/10168737.2023.2212268","DOIUrl":"https://doi.org/10.1080/10168737.2023.2212268","url":null,"abstract":"Using data from Sub-Saharan African (SSA) countries over the period 1990–2015, this study examines the effects of Global Value Chains’ (GVCs) participation on economic growth by distinguishing participation in upstream, participation in downstream and sectors-based participation. The study also focuses on how the economic growth effect of GVCs’ participation can be affected by the ICTs. The Driscoll and Kraay’ estimation approach applied to the cross-lagged panel model enabled to overcome the cross-sectional dependence, heteroscedasticity, errors’ autocorrelation and reverse causality problems. The generalized method of moments (GMM) is further employed for the robustness check. The findings are robust and indicate that the GVCs’ participation (general, upstream, downstream and sectorial) boosts economic growth in SSA countries. These positive effects hold and are even more intensive when the GVCs’ participation is modulated by the ICTs. Furthermore, the study demonstrates that SSA countries should focus on the downstream GVCs’ participation that is the production and export of the (high technologies) intermediate goods that are essential for the production activities of other GVCs’ stakeholders. For the sectors-based participation, the study seems to show that participation in the services sector promotes more economic growth, followed to some extent by the mining, agriculture and manufacturing sectors.","PeriodicalId":35933,"journal":{"name":"INTERNATIONAL ECONOMIC JOURNAL","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44110860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Income Inequality and Economic Freedom Revisited: Are Freedom and Equality Conflicting Values? Evidence from the twenty-first Century 重新审视收入不平等与经济自由:自由和平等是相互冲突的价值观吗?来自21世纪的证据

IF 1.1

INTERNATIONAL ECONOMIC JOURNAL Pub Date : 2023-04-03 DOI: 10.1080/10168737.2023.2212251

Daniel Machado, J. Fuinhas

引用次数: 0

Forecasting Exchange Rates with Neural Networks: Time Variation, Nonstationarity, and Causal Models 用神经网络预测汇率:时间变化、非平稳性和因果模型

IF 1.1

INTERNATIONAL ECONOMIC JOURNAL Pub Date : 2023-03-28 DOI: 10.1080/10168737.2023.2194292

Gordon Reikard

{"title":"Forecasting Exchange Rates with Neural Networks: Time Variation, Nonstationarity, and Causal Models","authors":"Gordon Reikard","doi":"10.1080/10168737.2023.2194292","DOIUrl":"https://doi.org/10.1080/10168737.2023.2194292","url":null,"abstract":"There are two major issues in using artificial intelligence to forecast exchange rates, choice of methodology and choice of causal models. A further complication is the nonstationarity of the data. This study compares artificial neural networks, nonlinear regressions and recurrent neural networks, using seven econometric models, in forecasting four major exchange rates over horizons of 1–3 months. The models are trained over moving windows and estimated in both levels and differences. There are three key findings. First, the multilayer perceptron nearly always achieves the most accurate forecasts, with the regressions in second place. The recurrent neural network places a distant third. Second, at horizons of 1 and 2 months, the perceptron is usually better in differences. At the 3-month horizon, however, the accuracy in differences deteriorates. Third, the perceptron favors models including international differentials in price levels, interest rates and yields, which achieve the best forecasts in the majority of cases. Several other models are competitive. One is the familiar Dornbusch-Frankel equation which uses differentials in inflation, output, interest rates and money supplies. Another is a combined model, the Dornbusch-Frankel equation with an additional term for the yield differential. Models using differentials in real interest rates do well in one instance.","PeriodicalId":35933,"journal":{"name":"INTERNATIONAL ECONOMIC JOURNAL","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44716114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Role of Social Trust on Property Right Protection: Physical Property Versus Intellectual Property 社会信任在产权保护中的作用:实物产权与知识产权

IF 1.1

INTERNATIONAL ECONOMIC JOURNAL Pub Date : 2023-03-28 DOI: 10.1080/10168737.2023.2193159

Thuy Tuong Nguyen, T. H. Duong, Myehue Dinh, T. T. M. Truong, T. H. H. Pham

引用次数: 0

Revisiting the Long-Run Relationship Between Inward/Outward FDI and Income Inequality: New Evidence from the OECD 重新审视内外部FDI与收入不平等的长期关系——来自经合组织的新证据

IF 1.1

INTERNATIONAL ECONOMIC JOURNAL Pub Date : 2023-03-08 DOI: 10.1080/10168737.2023.2182814

Mert Akyuz, Ghislain Nono Gueye, Cagin Karul

{"title":"Revisiting the Long-Run Relationship Between Inward/Outward FDI and Income Inequality: New Evidence from the OECD","authors":"Mert Akyuz, Ghislain Nono Gueye, Cagin Karul","doi":"10.1080/10168737.2023.2182814","DOIUrl":"https://doi.org/10.1080/10168737.2023.2182814","url":null,"abstract":"The relatively small panel cointegration literature on the dynamics between FDI and income inequality predominantly finds that FDI will reduce income inequality in the long-run in developed countries. However, we point out an important technical oversight in the literature. Not accounting for cross-section dependence in panel data methodologies may yield unreliable results. Expanding on the work of Herzer and Nunnenkamp [(2013). Inward and outward FDI and income inequality: Evidence from Europe. Review of World Economics, 149(2), 395–422. https://doi.org/10.1007/s10290-013-0148-3], who pioneered the use of panel cointegration in the European context, we obtain different results when we account for cross-section dependence and employ economic procedures robust to it. Using a panel containing 16 OECD countries (1979–2017), 2 income inequality measures, and 4 FDI measures, we begin by showing strong evidence for the existence of cross-section dependence. Then, using second-generation econometric procedures, we do not find any evidence for a cointegrating relationship between inward FDI and income inequality. We do find evidence that outward FDI is cointegrated with income inequality; however, contrary to the main results of the literature, we find that it widens the income gap in the long-run. Additionally, our results support the view that fiscal policy is an important tool to reduce income inequality.","PeriodicalId":35933,"journal":{"name":"INTERNATIONAL ECONOMIC JOURNAL","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43791534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Institutions Determine Debt–Growth Relationship: Evidence from Fourth Wave of Debt in EMDEs 制度决定债务-增长关系：来自EMDE第四波债务的证据

IF 1.1

INTERNATIONAL ECONOMIC JOURNAL Pub Date : 2023-03-08 DOI: 10.1080/10168737.2023.2184845

S. Bagchi, Sayantan Bandhu Majumder, Somdutta Banerjee

{"title":"Institutions Determine Debt–Growth Relationship: Evidence from Fourth Wave of Debt in EMDEs","authors":"S. Bagchi, Sayantan Bandhu Majumder, Somdutta Banerjee","doi":"10.1080/10168737.2023.2184845","DOIUrl":"https://doi.org/10.1080/10168737.2023.2184845","url":null,"abstract":"ABSTRACT The last decade witnessed global debt levels to reach record high. In Emerging Market and Developing Economies (EMDEs) like never before, the (public and private) debt–GDP ratio has been dismally high. An upward spree of the debt–GDP ratio coupled with a looming economic crisis led to concerns about institutional qualities (IQ). We explore how different dimensions of IQ (namely, political, legal and governance) impact the debt–growth relationship in the EMDEs amidst the current fourth wave of debt (2010–2019). We examine whether the relation is monotonic or it varies around a particular threshold value of IQ. By applying a dynamic panel threshold regression model, we obtain two regime-dependent marginal effects of regressors (upper and lower regimes) that are distinguished by a threshold value of IQ. Our results reveal that for each of our considered IQ, there exists a statistically significant threshold value. For public debt, across all dimensions of IQ debt hurts growth in the lower regime, while in the upper regime the association is favourable. While private debt is growth enhancing in the lower regime of all IQs (excepting corruption), while it is inimical in the upper regime.","PeriodicalId":35933,"journal":{"name":"INTERNATIONAL ECONOMIC JOURNAL","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47229211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forecasting a Commodity-Exporting Small Open Developing Economy Using DSGE and DSGE-BVAR 基于DSGE和DSGE- bvar的商品出口小型开放发展中经济体预测

IF 1.1

INTERNATIONAL ECONOMIC JOURNAL Pub Date : 2023-01-02 DOI: 10.1080/10168737.2023.2170443

Erlan Konebayev

引用次数: 1