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: 2 / 2 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 07:22 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.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | 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 2 / 2 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): 2026-10-21T07:22:59.232350+00:00 — 2026-10-21T07:23:03.270629+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 | 0 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 0 | 2 | 2/2 |
| 2021 | All selected publications | 0 | 2 | 2/2 |
| 2022 | All selected publications | 0 | 2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 |
| 2024 | All selected publications | 0 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 |
|---|---|
| 2024 | 1 |
| 2025 | 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 Research in Business and Social Science SSBFNET | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This study investigates the dynamic relationship between credit supply and demand shocks and household consumption in South Africa using a quantile autoregressive distributed lag (QARDL) model. Motivated by the increasing reliance of South African households on debt amid stagnant income growth, rising living costs, and persistent unemployment, the research aims to understand how credit market conditions influence consumption across different segments of the income distribution. Drawing on data spanning from 1970 to 2024, the study incorporates key macroeconomic variables including real GDP per capita, household income per capita, household debt as a percentage of GDP, the credit-to-GDP ratio, inflation, interest rates, and the unemployment rate. The QARDL framework allows for the estimation of both short-run and long-run relationships while accounting for heterogeneity across consumption quantiles. The results indicate that household consumption is more responsive to income shocks and credit availability in the lower and middle quantiles, suggesting heightened sensitivity among poorer households. Credit supply, proxied by the credit-to-GDP ratio, exhibits weak but positive short-run effects, while household debt consistently exerts a negative influence on consumption across all quantiles and time horizons, with stronger effects in lower quantiles. These findings highlight the consumption-depressing effects of excessive debt, especially for financially vulnerable households. Moreover, macroeconomic stability indicators such as inflation and interest rates are found to negatively affect consumption, particularly in lower quantiles, underscoring the uneven transmission of monetary policy. The empirical results support the hypothesis that household debt contributes to financial fragility and undermines consumption over time, while credit supply shocks play a more modest role. The study concludes that policies aimed at improving income stability, managing household debt levels, and enhancing financial inclusion—particularly for low-income groups—are essential for sustaining household consumption and promoting inclusive economic growth in South Africa.
Following the 2007-2009 global financial crisis, the South African Reserve Bank (SARB) prioritised financial stability. This study assesses the impact of financial stability on South Africa's output and price stability, which is crucial for framing its monetary policy. Utilising a Structural Vector Autoregression (SVAR) approach, the influence of the Financial Conditions Index (FCI) on the Gross Domestic Product (GDP) and Consumer Price Index (CPI) between 1960Q1 and 2022Q4 was analysed. Results revealed a strong connection between these objectives. GDP drops after an FCI disturbance, whereas the CPI trends upwards when the SARB counters financial imbalances. This vital finding indicates a positive relation between enhanced financial conditions and output stabilisation but reveals a trade-off between price and financial stability. After a GDP shock, financial conditions improve, but they deteriorate following a CPI shock. If the SARB reacts by "mopping up" post-crisis, the policy rate typically drops, pointing to potential financial vulnerabilities. Both GDP and CPI react positively to FCI disturbances when SARB is passive. The evidence suggests that while financial stability bolsters output stability, it might endanger price stability. Thus, amongst other recommendations, South Africa's monetary policy authorities must lean against financial imbalances instead of mopping after a crisis
This study investigates the dynamic relationship between credit supply and demand shocks and household consumption in South Africa using a quantile autoregressive distributed lag (QARDL) model. Motivated by the increasing reliance of South African households on debt amid stagnant income growth, rising living costs, and persistent unemployment, the research aims to understand how credit market conditions influence consumption across different segments of the income distribution. Drawing on data spanning from 1970 to 2024, the study incorporates key macroeconomic variables including real GDP per capita, household income per capita, household debt as a percentage of GDP, the credit-to-GDP ratio, inflation, interest rates, and the unemployment rate. The QARDL framework allows for the estimation of both short-run and long-run relationships while accounting for heterogeneity across consumption quantiles. The results indicate that household consumption is more responsive to income shocks and credit availability in the lower and middle quantiles, suggesting heightened sensitivity among poorer households. Credit supply, proxied by the credit-to-GDP ratio, exhibits weak but positive short-run effects, while household debt consistently exerts a negative influence on consumption across all quantiles and time horizons, with stronger effects in lower quantiles. These findings highlight the consumption-depressing effects of excessive debt, especially for financially vulnerable households. Moreover, macroeconomic stability indicators such as inflation and interest rates are found to negatively affect consumption, particularly in lower quantiles, underscoring the uneven transmission of monetary policy. The empirical results support the hypothesis that household debt contributes to financial fragility and undermines consumption over time, while credit supply shocks play a more modest role. The study concludes that policies aimed at improving income stability, managing household debt levels, and enhancing financial inclusion—particularly for low-income groups—are essential for sustaining household consumption and promoting inclusive economic growth in South Africa.
Following the 2007-2009 global financial crisis, the South African Reserve Bank (SARB) prioritised financial stability. This study assesses the impact of financial stability on South Africa's output and price stability, which is crucial for framing its monetary policy. Utilising a Structural Vector Autoregression (SVAR) approach, the influence of the Financial Conditions Index (FCI) on the Gross Domestic Product (GDP) and Consumer Price Index (CPI) between 1960Q1 and 2022Q4 was analysed. Results revealed a strong connection between these objectives. GDP drops after an FCI disturbance, whereas the CPI trends upwards when the SARB counters financial imbalances. This vital finding indicates a positive relation between enhanced financial conditions and output stabilisation but reveals a trade-off between price and financial stability. After a GDP shock, financial conditions improve, but they deteriorate following a CPI shock. If the SARB reacts by "mopping up" post-crisis, the policy rate typically drops, pointing to potential financial vulnerabilities. Both GDP and CPI react positively to FCI disturbances when SARB is passive. The evidence suggests that while financial stability bolsters output stability, it might endanger price stability. Thus, amongst other recommendations, South Africa's monetary policy authorities must lean against financial imbalances instead of mopping after a crisis
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 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |