Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 6 / 6 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 00:21 UTC — 21 Oct 2026 07:23 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
4 / 6 with data · 2 missing or unmatched. Percentages use all 6 selected publications.
4 / 6 with data · 2 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 9 | 2 | 2/2 | 2/2 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 18 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 16 | 2 | 2/2 | 2/2 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 6 / 6 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T00:21:59.460059+00:00 — 2026-10-21T07:23:07.496050+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 5 | 6 | 6/6 |
| 2018 | All selected publications | 3 | 6 | 6/6 |
| 2019 | All selected publications | 4 | 6 | 6/6 |
| 2020 | All selected publications | 1 | 6 | 6/6 |
| 2021 | All selected publications | 4 | 6 | 6/6 |
| 2022 | All selected publications | 6 | 6 | 6/6 |
| 2023 | All selected publications | 4 | 6 | 6/6 |
| 2024 | All selected publications | 4 | 6 | 6/6 |
| 2025 | All selected publications | 0 | 6 | 6/6 |
| 2026 | All selected publications | 1 | 6 | 6/6 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2014 | 1 |
| 2016 | 1 |
| 2017 | 2 |
| 2025 | 1 |
| 2026 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Finance & Banking Studies SSBFNET | 3 | 11 | 34 | 3/3 | 3.67 | 3 | 100.0 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 3 | 2 | 3 | 3/3 | 0.67 | 0 | 33.3 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This paper examines the relationship between financial development, economic growth and energy consumption in Cote d’Ivoire over the period 1971-2011. To do so, the study first built a synthetic indicator of financial development through the principal component analysis technique (PCA) and used four energy sources such as electric power consumption, electricity production from renewable sources, electricity production from oil sources and electricity production from hydroelectric sources. Then, employing the autoregressive distributed lag (ARDL) bounds testing approach to cointegration, we find that there is a long run relationship between financial development, economic growth and energy consumption sources. Furthermore, the results of the vector error correction models (VECM) reveal unidirectional causality running from financial development to energy consumption sources, bidirectional causality between economic growth and energy consumption and unidirectional causality from financial development to economic growth in the long run. The mixed results are due to the use of different proxies for energy consumption. Accordingly, this paper recommends that policy makers should solicit the support of financial sector in order to solve energy problems and further the diversification of the energy consumption sources since financial development has a positive effect on energy consumption in long run. Moreover, government should develop public-private partnership (PPP) to stimulate economic growth, improve the access to energy and maintain a sustainable development in Cote d’Ivoire.
This paper aims to test the validity of the causality between financial development and economic growth on energy consumption in three of North African countries. The study employs error coreection model and Granger causaility test to analyza a dataset for three North African countries covering a period from 1980 to 2010. The applied model is based on demand function for energy to assess the existing of causal relationship of energy with financial development, and economic growth, in Algeria, Egypt, and Tunisia. Empirical results provide a positive significant relating financial development and energy consumption in Algeria, and Tunisia. On the other hand, Egypt’s results show a negative significant relationship relating energy consumption and financial development. The paper is valuable to policy makers in North African countries in their pursuit for achieving economic growth as it clarifies the urge for the financial development reforms to stimulate investment and growth.
Energy is one of the most important dynamics of economic growth all over the world. Specially developing countries are in need of much more enery to provide economic growth. In this study, the relationship between energy consumption, economic growth, inflation and trade openness is exaimined by using structural VAR model for fragile five countries which have similar characteristics in terms of macroeconomic indicators. The analysis carried out with annual data that contains 1971-2013 period for fragile countries which contains of Turkey, South Africa, India, Indonesia and Brazil. According to the empirical results of the study, shocks that emerged in economic growth affect energy consumption positively but decreasingly in all countries. A substantial part of changes in energy consumption are explaned with economic growth in Turkey, India and Brazil. More than 80 percent of changes in energy consumption arise from energy consumption in South Africa and Indonesia.
<p>This paper aims to test the validity of the causality between financial development and economic growth on energy consumption in three of North African countries. The study employs error coreection model and Granger causaility test to analyza a dataset for three North African countries covering a period from 1980 to 2010. The applied model is based on demand function for energy to assess the existing of causal relationship of energy with financial development, and economic growth, in Algeria, Egypt, and Tunisia. Empirical results provide a positive significant relating financial development and energy consumption in Algeria, and Tunisia. On the other hand, Egypt’s results show a negative significant relationship relating energy consumption and financial development. The paper is valuable to policy makers in North African countries in their pursuit for achieving economic growth as it clarifies the urge for the financial development reforms to stimulate investment and growth.</p>
This study finds that green loans and green mortgages are positively and statistically significantly associated with CO₂ emissions in Nigeria, contrary to their intended role in climate mitigation. Using annual time-series data from 2012 to 2024 obtained from the Central Bank of Nigeria (CBN) Statistical Bulletin and the World Bank World Development Indicators (WDI), the study examines the effect of loan-based climate finance on carbon dioxide (CO₂) emissions, with gross domestic product per capita included as a control variable. The Autoregressive Distributed Lag (ARDL) framework is employed due to its suitability for small samples and mixed orders of integration. The Pesaran et al. (2001) bounds testing approach confirms the existence of a long-run relationship, and the model is re-specified as an error-correction model (ECM) to capture short-run dynamics and long-run adjustment. The results show that green loans and green mortgages increase emissions in the long run, while short-run effects are weak and largely insignificant. The error-correction term is negative and statistically significant, indicating adjustment toward the long-run equilibrium. These findings suggest that existing green credit instruments in Nigeria have not yet translated into measurable emissions reduction, reflecting weaknesses in credit targeting and monitoring. The study highlights the need for clearer classification standards, stronger regulatory oversight, and improved monitoring frameworks to ensure that climate finance effectively supports emissions reduction objectives.
This study finds that green loans and green mortgages are positively and statistically significantly associated with CO₂ emissions in Nigeria, contrary to their intended role in climate mitigation. Using annual time-series data from 2012 to 2024 obtained from the Central Bank of Nigeria (CBN) Statistical Bulletin and the World Bank World Development Indicators (WDI), the study examines the effect of loan-based climate finance on carbon dioxide (CO₂) emissions, with gross domestic product per capita included as a control variable. The Autoregressive Distributed Lag (ARDL) framework is employed due to its suitability for small samples and mixed orders of integration. The Pesaran et al. (2001) bounds testing approach confirms the existence of a long-run relationship, and the model is re-specified as an error-correction model (ECM) to capture short-run dynamics and long-run adjustment. The results show that green loans and green mortgages increase emissions in the long run, while short-run effects are weak and largely insignificant. The error-correction term is negative and statistically significant, indicating adjustment toward the long-run equilibrium. These findings suggest that existing green credit instruments in Nigeria have not yet translated into measurable emissions reduction, reflecting weaknesses in credit targeting and monitoring. The study highlights the need for clearer classification standards, stronger regulatory oversight, and improved monitoring frameworks to ensure that climate finance effectively supports emissions reduction objectives.
The Southern African Development Community (SADC) region possesses a variety of energy resources yet continues to face challenges in meeting its energy demands. The aim of the study was to examine the current status of renewable energy development and green finance systems in the SADC nations. The research employed panel autoregressive distributed lags (ARDL) on time series data from 16 SADC member nations spanning 2003 to 2022, utilising E-views 13. The study's results indicate no causal relationship between the variables in the near term. Conversely, over the long term, an alteration in the net installed capacity of electricity generating plants in SADC accounts for 55% of the GDP. A variation in renewable energy shares within total final energy consumption adversely affects GDP by 155%, whereas renewable energy producing capacity adds 6.2%. The comprehensive model is statistically significant and possesses a negative coefficient. Consequently, ceteris paribus, investment in renewable energy within the SADC region can be adjusted at a rate of 96%. Moreover, green finance can substantially enhance the region's energy infrastructure and diminish its reliance on fossil fuels over time. The results underscore the significance of private sector engagement and the advancement of green financing for both national and international development. According to the findings, regulatory authorities in the SADC area should augment investment in diverse new energy initiatives that may assist in alleviating climate change over the long term. The policy recommendation urges SADC to collaboratively engage with global climate financing mechanisms, develop regional green finance markets, and advance a low-carbon economy by fostering renewable energy expansion, encouraging private sector investment, and enhancing green finance initiatives
Energy is one of the most important dynamics of economic growth all over the world. Specially developing countries are in need of much more enery to provide economic growth. In this study, the relationship between energy consumption, economic growth, inflation and trade openness is exaimined by using structural VAR model for fragile five countries which have similar characteristics in terms of macroeconomic indicators. The analysis carried out with annual data that contains 1971-2013 period for fragile countries which contains of Turkey, South Africa, India, Indonesia and Brazil. According to the empirical results of the study, shocks that emerged in economic growth affect energy consumption positively but decreasingly in all countries. A substantial part of changes in energy consumption are explaned with economic growth in Turkey, India and Brazil. More than 80 percent of changes in energy consumption arise from energy consumption in South Africa and Indonesia.
This paper examines the relationship between financial development, economic growth and energy consumption in Cote d’Ivoire over the period 1971-2011. To do so, the study first built a synthetic indicator of financial development through the principal component analysis technique (PCA) and used four energy sources such as electric power consumption, electricity production from renewable sources, electricity production from oil sources and electricity production from hydroelectric sources. Then, employing the autoregressive distributed lag (ARDL) bounds testing approach to cointegration, we find that there is a long run relationship between financial development, economic growth and energy consumption sources. Furthermore, the results of the vector error correction models (VECM) reveal unidirectional causality running from financial development to energy consumption sources, bidirectional causality between economic growth and energy consumption and unidirectional causality from financial development to economic growth in the long run. The mixed results are due to the use of different proxies for energy consumption. Accordingly, this paper recommends that policy makers should solicit the support of financial sector in order to solve energy problems and further the diversification of the energy consumption sources since financial development has a positive effect on energy consumption in long run. Moreover, government should develop public-private partnership (PPP) to stimulate economic growth, improve the access to energy and maintain a sustainable development in Cote d’Ivoire.
<p>This paper aims to test the validity of the causality between financial development and economic growth on energy consumption in three of North African countries. The study employs error coreection model and Granger causaility test to analyza a dataset for three North African countries covering a period from 1980 to 2010. The applied model is based on demand function for energy to assess the existing of causal relationship of energy with financial development, and economic growth, in Algeria, Egypt, and Tunisia. Empirical results provide a positive significant relating financial development and energy consumption in Algeria, and Tunisia. On the other hand, Egypt’s results show a negative significant relationship relating energy consumption and financial development. The paper is valuable to policy makers in North African countries in their pursuit for achieving economic growth as it clarifies the urge for the financial development reforms to stimulate investment and growth.</p>
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |