Natural Resources, Globalization and Sustainable Economic Welfare: A Panel ARDL Approach

Fuinhas, José Alberto; Marques, António Cardoso; Faria, Samuel

doi:10.25115/eea.v35i3.2499

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…Furthermore, the result was statistically significant at the 5% level, with a P value between 0.05 and 0.01. Details of the long-term results can be seen in Table 6 below: The robustness of the results obtained from the ARDL model is commonly assessed through postestimation tests (Fuinhas, Marques & Faria, 2017). Since the regression model cannot contain heteroscedasticity, two tests were performed: the autoregressive conditional heteroskedasticity (ARCH) test and the Harvey test of heteroscedasticity.…”

Section: Resultsmentioning

confidence: 99%

The impact of BMI on life expectancy in Portugal

Monteiro,

Belucio,

Fuinhas

2024

Acta Sci. Health Sci.

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The overweight represents a serious public health problem in Portugal, with a prevalence that exceeds 50%. Obesity-related diseases constitute the health system's main causes of death and economic issues. Despite this, there is no consensus on the relationship between the Body Mass Index (BMI) and the risk of early mortality. In this context, assessing the impact of the average BMI on life expectancy in Portugal is important. A retrospective cross-sectional observational study was carried out using an Autoregressive Distributed Lag model. The dependent variable is life expectancy at birth, expressed in the total years obtained from the World Development Indicators (WDI). The independent variables are: (i) the average BMI of the population (calculated based on the average male and female BMI obtained from Our World in Data); and (ii) the total population obtained from the WDI. The population's mean BMI variable limited the study's time horizon, comprising annual statistical data from 1975 to 2016. The increase in BMI negatively affects the life expectancy of the Portuguese population in the short term. A 1% variation in BMI reflects a 1.98% reduction in life expectancy. The result was statistically significant at 1%, and the p-value was 0.0001. In the long term, there was no statistically significant effect of the mean BMI on the population's life expectancy. Also, in the long term, population growth has a positive and statistically significant effect on life expectancy. Although there is no consensus in the literature that BMI is associated with increased mortality, the results obtained through this model captured this trend in Portugal in the short term. Therefore, promoting life expectancy by improving the Portuguese's health and quality of life is necessary. The adoption of measures that favor the recovery or maintenance of normal weight is essential.

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Section: Resultsmentioning

confidence: 99%

The impact of BMI on life expectancy in Portugal

Monteiro,

Belucio,

Fuinhas

2024

Acta Sci. Health Sci.

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“…In addition, three variables of inflation rate, governance indicator (quality level of governance based on the global governance indicators (WGI) published by the World Bank), and inward FDI are selected as proxies for economic activities. Many scholars (seeJamil et al, 2013;Diaconu, 2014;Santos et al, 2017;Fuinhas et al, 2017;Abille et al, 2020;An and Yeh, 2021;Chuong and Bao, 2021;Devpura et al, 2021) have addressed these three variables as cornerstones of Asian economies.In order to gather annual data of variables for 37 Asian countries, the following data sources of the World Bank (inflation rate, governance indicator), Human Development Data Center of UNDP (human development index), Statistics bureau of the examined countries (inward FDI), and Initiative Climate Bonds (issued GBs) were employed. Table1displays correlation coefficients for the variables under study:…”

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confidence: 99%

Economic effects of green bond market development in Asian economies

Quang

2022

JRF

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PurposeIn the recent decades, the green projects have suffered from serious lack of investment, highlighting the major role of green financing to attract private investors to these projects. The main purpose of this paper is to explore the economic impacts of green bond (GB) market in 37 Asian economies.Design/methodology/approachTo empirically analyze the impacts of issued GBs on different macroeconomic variables of 37 Asian countries, the co-integration and causality approaches are employed to analyze the data for the period of 2002–2018.FindingsThe primary findings indicated the presence of a unidirectional causal direction running from inflation rate, inward FDI, governance indicator, and human development index to issued GBs for the sample of Asian economies that were analyzed. Regarding Group I (higher and upper-middle income Asian countries), there are bi-directional relationships between the GB and other variables, indicating that the policies of governments in each variable influence other variables, whereas for Group II (low and lower-middle income Asian countries), there are uni-directional relationships running from HDI, governance indicator, and inflation rate to GBs, but only bi-directional causal relationships.Practical implicationsIn Asian economies with a lower per capita income, implementing policies to enhance the efficiency of issued GBs so that they have a positive impact on economic activities and human development may be an appropriate strategy with major policy implications. In this way, financial system improvement, financing rural electrification and the transition to electric vehicles through GBs are recommended, while for the case of high- and upper-middle-income economies in Asia, simplifying capital flows from abroad to the GB market can be considered a practical policy.Originality/valueThis study contributes to current green finance research by studying the effects of several variables on the GB market for the instance of Asian countries with low and lower-middle incomes, as well as high-upper middle incomes.

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