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Research data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Funded by:EC | MPC-. GTEC| MPC-. GTAuthors: Ongun Berk Kazanci; Dragos-Ioan Bogatu; Rick Kramer;This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 723649 Indoor environmental quality (IEQ) measurement and survey data of demonstration buildings in the hybridGEOTABS project
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4726665&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4726665&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2010Publisher:Zenodo The Soutpansberg Transect investigates the abundance and diversity of ants and spiders along an altitudinal gradient in the Western Soutpansberg Mountains, South Africa. It has a north-south orientation over the mountain and is a long term project initiated in 2009. Data collection is carried out in intervals that suit the data logger capacity. To study the diversity patterns in ants and other invertebrate groups across the spatial transect over a long-term period and the climate the invertebrates.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4772772&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
visibility 16visibility views 16 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4772772&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Springer Science and Business Media LLC Authors:Joachim Claudet;
Joachim Claudet
Joachim Claudet in OpenAIREJessica Blythe;
David A. Gill;Jessica Blythe
Jessica Blythe in OpenAIRENathan J. Bennett;
+19 AuthorsNathan J. Bennett
Nathan J. Bennett in OpenAIREJoachim Claudet;
Joachim Claudet
Joachim Claudet in OpenAIREJessica Blythe;
David A. Gill;Jessica Blythe
Jessica Blythe in OpenAIRENathan J. Bennett;
Georgina G. Gurney; Louisa Evans; Shauna L. Mahajan;Nathan J. Bennett
Nathan J. Bennett in OpenAIRERachel A. Turner;
Gabby N. Ahmadia;Rachel A. Turner
Rachel A. Turner in OpenAIRENatalie C. Ban;
Natalie C. Ban
Natalie C. Ban in OpenAIREGraham Epstein;
Graham Epstein
Graham Epstein in OpenAIREStacy D. Jupiter;
Stacy D. Jupiter
Stacy D. Jupiter in OpenAIREJacqueline Lau;
Sangeeta Mangubhai;Jacqueline Lau
Jacqueline Lau in OpenAIRENoelia Zafra-Calvo;
Noelia Zafra-Calvo
Noelia Zafra-Calvo in OpenAIRENatali Lazzari;
Natali Lazzari
Natali Lazzari in OpenAIREJacopo A. Baggio;
Jacopo A. Baggio
Jacopo A. Baggio in OpenAIREMiranda L. Bernard;
Victor Brun;Miranda L. Bernard
Miranda L. Bernard in OpenAIREStephanie D’Agata;
Stephanie D’Agata
Stephanie D’Agata in OpenAIREAntonio Di Franco;
Rebecca Horan;Antonio Di Franco
Antonio Di Franco in OpenAIREJosheena Naggea;
Josheena Naggea
Josheena Naggea in OpenAIREpmid: 38744940
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature's AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1038/s41559-024-02417-5. Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing help@openaccessbutton.org.
Nature Ecology & Evo... arrow_drop_down Nature Ecology & EvolutionArticle . 2024 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert Nature Ecology & Evo... arrow_drop_down Nature Ecology & EvolutionArticle . 2024 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41559-024-02417-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors:COSIMO MAGAZZINO;
Marco Mele; Nicolas Schneider;COSIMO MAGAZZINO
COSIMO MAGAZZINO in OpenAIREThis paper critically assesses the effect of fossil fuel dependence and polluting emissions from the transport sector on the performance of logistics operations in the context of Green Supply Chain Management (GSCM). We collected macro-level time-series data for a sample of 27 European Union (EU) countries over the period 2007–2018. A new Artificial Neural Networks (ANNs) algorithm is adopted in a multivariate framework to investigate the dynamic interactions among a range of Logistics Performance Indexes (LPI), the demand for oil products, and carbon dioxide (CO2) emissions from fuel combustion in the transport sector. Empirical findings show that oil product consumption and CO2 emissions sharply influence the transport logistics indexes. However, a feedback relationship is discovered for environmental pollution, indicating that oil use is not significantly driven by supply chain performance. Based on our empirical insights, adequate policy recommendations are provided to help turning the logistics sector towards a more sustainable path in the European area.
Structural Change an... arrow_drop_down Structural Change and Economic DynamicsArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.strueco.2021.11.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 57 citations 57 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
visibility 15visibility views 15 download downloads 4 Powered bymore_vert Structural Change an... arrow_drop_down Structural Change and Economic DynamicsArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.strueco.2021.11.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Springer Science and Business Media LLC Authors:Edmund Ntom Udemba;
Edmund Ntom Udemba
Edmund Ntom Udemba in OpenAIRECOSIMO MAGAZZINO;
COSIMO MAGAZZINO
COSIMO MAGAZZINO in OpenAIREFestus Victor Bekun;
Festus Victor Bekun
Festus Victor Bekun in OpenAIREpmid: 32162224
Most nations are predominately preoccupied with the need to increase economic growth amidst pressure for increased energy consumption. However, higher energy consumption from fossil fuel has its environmental implication(s) especially in a high industrial economy like China. In this context, the current study explores the interaction between pollutant emission, foreign direct investment, energy consumption, tourism arrival, and economic growth for quarterly frequency data from 1995Q1 to 2016Q4 for econometrics analysis. Pesaran's autoregressive distributed lag-bound test traces long-run relationship between all outlined variables over the investigated period. Empirical results show positive relationship between pollutant emissions with all other variables with the exception of economic growth. This further exposes the environmental degradation in China with the curtailing strength from the GDP. The Granger causality analysis detects that CO2 emissions and energy consumption show a two-way causality observed. Also, one-way causality existing between growth and foreign direct investment is seen running to pollutant emission. Furthermore, one-way causality is observed among foreign direct investment, energy consumption, pollutant emission, and tourism arrivals with economic growth, and this established their impact on the economic growth which will be a guide to the policy implication on how to ameliorate environmental degradation from the effect of consumption of fossil energy sources and foreign direct investment-induced pollutant emission.
Environmental Scienc... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2020 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11356-020-08180-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 126 citations 126 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 13visibility views 13 download downloads 1 Powered bymore_vert Environmental Scienc... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2020 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11356-020-08180-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2012Publisher:SAGE Publications This paper tries to assess the relationship between disaggregate energy production and real aggregate income in Italy by undertaking cointegration analyses using annual data from 1883 to 2009. After a brief introduction, a survey of the economic literature on this issue is shown, before discussing the data and introducing some econometric techniques. Stationarity tests reveal that the series are non-stationary, or I(1). Cointegration analyses reveal that there is a long-run relationship between GDP and geothermoelectric production in the 1919–1939 period. Whilst, for the post-war years, we find a cointegration relationship for all sources of energy. Causality tests roughly confirm a bi-directional flow in the long-run, so that energy production and economic growth complement each other, since economic growth may demand more energy, whereas more energy consumption may also induce economic growth.
Energy & Environment arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1260/0958-305x.23.8.1191&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 34 citations 34 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 18visibility views 18 download downloads 1 Powered bymore_vert Energy & Environment arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1260/0958-305x.23.8.1191&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors:Ritika Chopra;
Ritika Chopra
Ritika Chopra in OpenAIRECosimo Magazzino;
Cosimo Magazzino
Cosimo Magazzino in OpenAIREMuhammad Ibrahim Shah;
Muhammad Ibrahim Shah
Muhammad Ibrahim Shah in OpenAIREGagan Deep Sharma;
+2 AuthorsGagan Deep Sharma
Gagan Deep Sharma in OpenAIRERitika Chopra;
Ritika Chopra
Ritika Chopra in OpenAIRECosimo Magazzino;
Cosimo Magazzino
Cosimo Magazzino in OpenAIREMuhammad Ibrahim Shah;
Muhammad Ibrahim Shah
Muhammad Ibrahim Shah in OpenAIREGagan Deep Sharma;
Gagan Deep Sharma
Gagan Deep Sharma in OpenAIREAmar Rao;
Umer Shahzad;Amar Rao
Amar Rao in OpenAIREThe adoption of Sustainable Development Goals (SDG) in 2015 shifted the attention towards sustainability-related concerns in both developing and developed counties. The aim of this paper is to examine how agricultural productivity – a key driver in achieving many of these SDGs – is affected by carbon emissions, deforestation, renewable energy consumption, natural resources, and regional integration for the ten Association of Southeast Asian Nations (ASEAN) countries. Using the Mean Group (MG) class estimators, able to tackle the cross-sectional dependence in the data, empirical findings reveal that environmental degradation (in the form of CO2 emissions) reduces agricultural productivity in the region. Both the forest area and natural resource variables negatively affect the productivity of the agricultural sector, while the use of renewable energy sources positively contributes to the agricultural sector. However, despite being one of the highest integrated regions in the world, regional integration among the ASEAN members does not boost their agricultural productivity. The causality tests confirm the existence of bidirectional causality between agricultural productivity and renewable energy consumption, and unidirectional causality across a few other variables. Accordingly, the study provides policy recommendations for the governments of ASEAN economies on improving the environmental performance of agriculture and achieving the SDGs by 2030.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.resourpol.2022.102578&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 165 citations 165 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
visibility 17visibility views 17 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.resourpol.2022.102578&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Elsevier BV Authors: Gouiaa, Sandra; Khoudi, Habib;pmid: 26047526
Potassium (K) deficiency is a worldwide problem. Thus, the K biofortification of crops is needed to enhance human nutrition. Tomato represents an ideal candidate for such biofortification programs thanks to its widespread distribution and its easy growth on a commercial scale. However, although tomato is moderately tolerant to abiotic stresses, the crop losses due to salinity can be severe. In this study, we generated transgenic tomato plants over-expressing a Na(+)-K(+)/H(+) exchanger gene (TNHXS1), singly or with H(+)-pyrophosphatase (H(+)-PPiase) gene using a bicistronic construct. Transgenic tomato lines co-expressing both genes (LNV) significantly showed higher salinity tolerance than the wild-type (WT) plans or those expressing the TNHXS1 gene alone (LN). Indeed, under salt stress conditions, double transgenic plants produced higher biomass and retained more chlorophyll and catalase (CAT) activity. In addition, they showed earlier flowering and produced more fruits. To address K deficiencies in humans, an increase of 50% in K content of vegetable products was proposed. In this study, ion content analysis revealed that, under salt stress, fruits from double transgenic plants accumulated 5 times more potassium and 9 times less sodium than WT counterparts. Interestingly, the ionomic analysis of tomato fruits also revealed that LNV had a distinct profile compared to WT and to LN plants. Indeed, LNV fruits accumulated less Fe(2+), Ca(2+), Mg(2+) and Zn(2+), but more Mn(2+). This study demonstrates the effectiveness of bicistronic constructs as an important tool for the enhancement of biofortification and salt stress tolerance in crops.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.phytochem.2015.05.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 30 citations 30 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.phytochem.2015.05.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014Publisher:Springer Science and Business Media LLC This paper applies time series methodologies to examine the causal relationship among electricity demand, real per capita GDP and total labor force for Italy from 1970 to 2009. After a brief introduction, a survey of the economic literature on this issue is reported, before discussing the data and introducing the econometric techniques used. The results of estimation indicate that one cointegrating relationship exists among these variables. This equilibrium relation implies that, in the long-run, GDP and labor force are correlated negatively, as well as GDP and electricity. Moreover, there is a bi-directional Granger causality flow between real per capita GDP and electricity demand; while labor force does not Grangercause neither real per capita GDP nor electricity demand. This implies that electricity demand and economic growth are jointly determined at the same time for the Italian case. The forecast error variance decomposition shows that forecast errors in real per capita GDP are mainly caused by the uncertainty in GDP itself, while forecast errors in labor force are mainly resulted from the labor force itself, although aggregate income and electricity are important, too.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11708-014-0296-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 38 citations 38 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 16visibility views 16 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11708-014-0296-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors:MAGAZZINO, COSIMO;
Mele, Marco; Schneider, Nicolas; Umer Shahzad;MAGAZZINO, COSIMO
MAGAZZINO, COSIMO in OpenAIREThis paper aims to investigate the causal links among export diversification, per capita income, and energy demand for 20 Asia-Pacific Economic Cooperation (APEC) countries. Human capital, industry share, and Foreign Direct Investments (FDI) are included within a multivariate framework. Using data covering the 1995���2018 period, an innovative sequential Artificial Neural Networks experiment is developed. Empirical results highlight that the export diversification index negatively affects the neural target corresponding to energy demand. Conversely, per capita GDP displays a significant influence on the acceleration of the same energy target. Hence, findings suggest that export diversification plays a mitigating role in the demand for energy, which is congruent with the literature. Moreover, economic growth is found to be substantially driven by export diversification, while no evidence of a causal effect is found among export diversification, human capital, and FDI. Such inferences are finally corroborated by a Decision Tree model, conducted as a final robustness check. In line with the Sustainable Development Goals (SDGs), adequate measures are suggested to improve energy savings along the supply chain, without hindering the economic performance of the Asian region. https://www.sciencedirect.com/science/article/pii/S037877882101104X
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enbuild.2021.111820&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 35 citations 35 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
visibility 20visibility views 20 download downloads 3 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enbuild.2021.111820&type=result"></script>'); --> </script>
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