Renewed Growth Research Articles

Infodemic And Student Satisfaction With COVID-19 Related Information On The College Website

The outbreak of covid-19 generated a vast disruption in the whole workflow mechanism in higher education institutions (HEIs). Nevertheless, on the contrary, the possibilities of positively reforming the teaching and learning process can be witnessed simultaneously, along with a renewed outlook and growth within the higher education (HE) system. Correspondingly, Oxford Business College (OBC) has faced a reconfiguration in its academic setting due to the sudden and unplanned shift to the digital learning space during the pandemic. The present study aimed to examine students' satisfaction with COVID-19 related information that the college provided its students through its Website. A quantitative approach was adopted, and an online survey was used to collect data from students at Oxford Business College UK. Survey data was primarily collected from N=969 OBC students. The data was analysed using RStudio version 1.4.1106 to build and train the regression model and subsequently validate it. The outcome variable was recoded into three categories for adequate sample size in each contingency cell, and the baseline category was set for the low satisfaction group. The multinomial logistic regression results showed significantly marginal effects on the simultaneous estimation regression model. The model's accuracy for the training data set was found to be 65% correct prediction, and misclassification error was 34%, whereas correct prediction for test data showed less discrepancy. The results confirmed that more than 80% of students were highly satisfied, as compared to the low satisfaction group, with the regular updates and relevant information about covid-19 and found it very important for guiding and avoiding any academic loss throughout the pandemic. Keywords: Infodemic, Covid-19, OBC Website Information, Student Satisfaction

Situation Analysis of Provincial Power Market Based on System Dynamics Simulation

Under the background of carbon peaking and carbon neutrality goals, with the expansion of the scope of power market-oriented reform and the increase in uncertainty of social, political, and economic factors outside the market, the market environment is becoming more and more complex, and it is more difficult to analyze and control the market situation. From a macro perspective, overall modeling for the power transmission link between the generation side and the consumption side of the provincial power market is built, in which a variety of real-time elements or scenarios such as renewable energy power generation growth, carbon emission quota, coal shortage, and dual control system of total energy consumption and energy intensity are considered. The system dynamics tools are used for simulation, and the medium and long-term operation trends of the market are analyzed. In the case studies, the actual situation of the Jiangsu power market is used as background. The trend of the power market situation under the basic scenario is analyzed, and the sensitivity analysis is carried out for three factors: coal supply growth rate, carbon emission caps, and electricity demand growth rate. It is shown that diversified macro factors inside and outside the market will affect the balance of the market operation situation to varying degrees, making the key operation indicators of the market deviate from the existing stable state.

Enhancing sustainable development via low carbon energy transition approaches

Major shifts in policies, generation, and consumption patterns of energy must take place in growing countries like Malaysia to achieve the 2030 Agenda for Sustainable Development Goals (SDGs). Producing energy alone is no longer the sole purpose of a 98% electrified nation. The goal has now shifted towards the sustainability of cleaner production and energy democracy. Malaysia has announced the aspiration to increase its power generation using renewable energy sources to 20% from the current 2% by 2025. Many catalytic initiatives like the feed-in-tariff (FiT), net-energy-metering (NEM), and the upcoming mini-grid-based energy trading system have managed to create sufficient momentum for renewable energy growth in Malaysia. However, such systems demand certain environmental conditions that may involve river and land use for the technology to function optimally. Thus, understanding the micro to macro needs of multi-stakeholders is critical. Therefore, this study explored the strengths and weaknesses of energy transition methodologies adopted across the globe with local's input. Subsequently, the content analysis provided a basis to ascertain an apt method for Malaysia's unique condition. This analysis precedes any single approach to solve the complicated demand on people, planet, and profit, towards meeting SDGs using the multi-criteria analysis. The summary of these energy transition approaches were then applied through a series of interviews to validate a suitable approach. Results from the interviews provide a conceptual milestone for every actor, namely the community, the government represented by the local authority, the state, and the federal government. Therefore, this study suggests further research on innovative interpersonal models as a means toward the macro-outline for a sustainable nation.

Comparison of Grid Reactive Voltage Regulation with Reconfiguration Network for Electric Vehicle Penetration

Renewable energy sources and EV growth brings new challenges for grid stabilization. Smart grid techniques are required to reconfigure and compensate for load fluctuation and stabilize power losses and voltage fluctuation. Numerical tools are available to equip the smart grid to deal with such challenges. Distribution Feeder reconfiguration and reactive voltage injection to the disturbed grid are some of the techniques employed for the purpose. However, either reconfiguration or injection alone is used commonly for this purpose. In this study, both techniques are applied to EV penetration as load and compared. A balanced IEEE 33 Radial network is used in this study and selected branches with high power losses are targeted for the reactive voltage injection and Minimum Spanning tree techniques (MST). EV charging loads are usually modelled with time base distribution which requires times base power flow analysis for reactive power injection. A comparison between coordinated, reconfiguration, and reactive voltage injection shows differences in power losses, voltage distortion, and cost saving. The analysis is carried out with an integer linear programming technique for coordinated charging, a minimum spanning tree for network reconfiguration, and genetic optimization for reactive power injection. Besides, all power flow analyses are carried out with the Backward/Forward sweep method. The information would help lowering power losses, grid stabilization, and charging station infrastructure planning.

Comparative Analysis of the Financial Stability of Renewable-based Electricity Companies: The Case for Hydroelectric Organizations

Hydroelectricity remains the dominate RES (Renewable Energy Source) and the most developed, reaching growth rate peaks in some countries in the 20th century. However, the share of it has fallen over the last few years, as other renewable sources have received rapid development. Despite this, growth for hydroelectricity has remained stable, with China, India, Japan, Russia, Turkey, France, Norway, Canada, USA and Brazil as market leaders. This article analyzes the key trends of development of the hydroelectricity market as a whole, as well as the financial stability of its organizations using bankruptcy likelihood prediction models. The Brazilian and Russian companies were chosen to assess as both countries are classified as developing markets. The bankruptcy prediction models indicate that overall, the financial stability of hydroelectricity giants of Brazil and Russia is at a high level, though profitability ratios are very low. During the COVID-19 pandemic, several financial support measures were implemented by governments, along with the already existing instruments for stimulating renewable energy growth. Authors’ forecasts show that current trends on the market indicate that net addition capacity growth in the next few years will not be enough to meet Net Zero goals for the renewables market.

Education and its impact on renewable energy demand, carbon intensity, and green growth: do digital financial inclusion and environmental policy stringency matter in China.

Various targets need to be accomplished before the dream of sustainable development comes true. Among these targets, increasing renewable energy demand, reducing carbon intensity, and achieving green growth are the most noticeable. Therefore, the present study focuses on capturing digital financial inclusion's impact on renewable energy demand, carbon intensity, and green growth in the presence of ICT trade and environmental policy stringency in China. To empirically estimate the model, we have applied ARDL covering the time span from 1995 to 2020. The results state that the estimated coefficients attached to education, ATMS, and environmental policy stringency are positively significant in the renewable energy and green growth model and negatively significant in the carbon intensity model. From these results, we confer that education, digital financial inclusion, and environmental policy stringency are good for increasing renewable energy demand, reducing carbon intensity, and achieving green growth in China. In the short run, some of the estimates are negative; hence, we conclude that the results are inconclusive. The results recommend some imperative policy suggestions.

Spatial Aggregation of Local Flexibility – Horizon2020 project experiences

With the growth of renewables, the increased interconnection of European grids, the development of local energy initiatives, and the specific requirements on TSO–DSO cooperation as set forth in the different Network Codes and Guidelines, TSOs and DSOs face new challenges that will require greater coordination. The aforementioned measures encourage procurement of services at both the transmission and the distribution level, recognizing that this will enable more efficient and effective network management and will increase the level of demand response and the capacity of renewable generation. Digitalization is a key driver for coordination and active system management in the electricity grid, enabling TSOs and DSOs to optimize the use of distributed resources and ensure a costeffective and secure supply of electricity. It also empowers endusers to become active market participants, supporting selfgeneration and providing demand flexibility. To support the transformation, the INTERRFACE project, started in 2019, will design, develop and exploit an Interoperable pan-European Grid Services Architecture (IEGSA) to act as the interface between the power system (TSO and DSO – transmission system operator, distribution system operator) and the customers, and allow the seamless and coordinated operation of all stakeholders to use and procure common services. This paper describes the approach of one INTERRFACE demonstration, the spatial aggregation of local flexibility and its realization that contributes providing a clear market approach to include local constraints into the already well-established and working wholesale energy market solutions

Revealing the Impacts of Banking Sector Development on Renewable Energy Consumption, Green Growth, and Environmental Quality in China: Does Financial Inclusion Matter?

China aims to reduce its carbon dioxide emissions and promote green growth. This study aims to examine the effect of banking sector performance indicators (banks assets and return on asset) and financial inclusion on renewable energy consumption, green growth, and carbon emissions for China from 1995 to 2020 using the ARDL approach. The long-run results suggest that bank assets increase renewable energy consumption and green growth. While return on assets also increases green growth and decreases carbon emission in the long run. Financial inclusion enhances renewable energy consumption and green growth, curbing CO2 emissions. Banking sector performance and financial inclusion have short-run effects on renewable energy consumption, green growth, and carbon dixoside emissions. The findings thus point to the need for policies that promote banking sector performance and financial inclusion to boost green growth and alleviate CO2 emissions.

Does green technology advancement and renewable electricity standard impact on carbon emissions in China: role of green finance.

Renewable energy growth should be accelerated in order to meet our goal of carbon neutrality and peak carbon emissions. Laws like the Renewable Electricity Standard (RES) are becoming increasingly important in producing renewable energy. Using green technology advancements is seen as balancing economic growth with environmental security. Though the connection between green technology advancements and CO2 emissions is poorly understood, empirical research is lacking, especially in developing countries. Climate change action now falls under a single overarching contract, signed in Paris on November 4, 2016. Global warming mitigation aims to keep temperature increases to no more than 2°C above preindustrial levels. By 2060, China intends to reach carbon neutrality by developing green technologies (GTI). Because of these interconnections, this research explores the relationship between green technology innovation (GI) and renewable energy investment (REI) in selected Chinese provinces from 2005 to 2019. GI, REI, urbanization, industrial value-added, and income per capita were all considered in the STIRPAT model. We used a panel of chosen regions to test two relatively new panel estimation methods empirically: "continuously updated fully modified" (Cup-FM) and "continuously updated bias-corrected" (Cup-BC). According to our findings, urbanization and green technological developments positively impact CO2 emission reduction. The panel also finds that investments in renewable energy and the industrial sector fail to reduce pollution levels. A positive and negative coefficient of income per capita indicates that the inverted U-shaped EKC hypothesis is valid for the Chinese provinces. The results provide vital strategy insights and recommendations for the panel of experts and countries worldwide.

Yenilenebilir Enerji Kullanımının Yeşil Büyüme Üzerindeki Etkisi: Yükselen Ekonomiler Örneği

In this study, the effect of renewable energy use on green growth is investigated for 11 emerging economies with a growth rate higher than the world average annual green growth, per capita GDP, and per capita renewable energy use growth rate in 1990-2019. For this purpose, the variables of financial development, economic integration, use of renewable energy, and green growth were used annually in the 1990-2019 period. CCEMG and AMG panel estimators were used as a method. The findings showed that the increase in the use of renewable energy hurts green growth. This is because existing technologies are predominantly integrated with fossil fuels, making the GDPs of these economies more dependent on fossil fuels, and the use of renewable energy, which is used on a small scale, brings high costs. In addition, rising energy prices for energy-importing economies may cause vulnerabilities in economies and slow down or hinder governments' renewable energy policies. On the other hand, increasing economic growth causes more energy demand. Meeting the increasing energy demand with fossil fuels at a high rate increases negative externalities and negatively affects green growth.

Unbundling the dynamic impact of renewable energy and financial development on real per capita growth in African countries.

Industrialization is considered imperative for growth but energy transitions are paramount for inclusive and green growth especially for a region with low financial sector development to spur investment in renewable energy. This study thus unbundles the interrelation among renewable energy production, financial development, and real per capita growth in 32 selected African countries from the period of 1996 to 2018. These countries are categorized on the basis of oil-rich and non-oil-rich as well as income levels. The study employs Pooled Mean Group, Augmented Mean Group, and Dynamic OLS, and key findings are established. The findings reveal a significantly positive renewable energy-economic growth relationship in all the different groups. Financial development is also found to improve economic performance in all categories except in non-oil-rich African countries. These findings empirically support the need for cleaner energy in the production process to spur inclusive and green growth amidst current global concern for climate change and global warning. This study thus recommends the restructuring of the energy pricing system, provision of long-term finance, adoption of risk mitigation instruments, and improved institutional framework for private participation in renewable energy infrastructural development for growth sustainability in Africa.

Impact of renewable energy on economic growth? Novel evidence from developing countries through MMQR estimations.

This study aims to examine the association between economic growth and energy consumption (renewable and nonrenewable). The data was collected from 80 developing countries comprising countries from all income over the 1990 to 2020 period. On methodological aspects, this study identifies the diverse impact of variables at different quantiles through novel methods of movement quantile regression (MMQR) approach and long-run coefficient estimations through fully modified ordinary least squares, fixed effects ordinary least squares, and dynamic ordinary least squares. According to the primary findings, the growth hypothesis exists in developing countries as both nonrenewable energy and renewable energy impact economic growth positively in MMQR estimation (for renewable energy at all quintiles and nonrenewable energy at lower quantiles), whereas the feedback hypothesis exists in (Dumitrescu and Hurlin Econ Model 29(4):1450-1460, 2012) Granger causality approach. The findings exposed that the economic renewable and non-renewable energy consumption has a positive impact on economic growth in developing countries. Based on the results, we recommend that developing countries prioritize investments in renewable energy for their production and expansion. Moreover, the provision of tax exemptions, subsidies, and feed-in tariffs are the right policy options towards the encouragement of the renewable energy sector and ultimately for the growth of the developing countries.

The negative impact of the COVID-19 on renewable energy growth in developing countries: Underestimated

According to the United Nations Environment Programme, the COVID-19 pandemic has created challenges for the economy and the energy sector, as well as uncertainty for the renewable energy industry. However, the impact on renewable energy during the pandemic has not been consistently determined. Instead of relying on data from year-to-year comparisons, this study redesigned the analytical framework for assessing the impact of a pandemic on renewable energy. First, this research designed an “initial prediction-parameter training-error correction-assignment combination” forecasting approach to simulate renewable energy consumption in a “no pandemic” scenario. Second, this study calculates the difference between the “pandemic” and “no pandemic” scenarios for renewable energy consumption. This difference represents the change in renewable energy due to the COVID-19 pandemic. Various techniques such as nonlinear grey, artificial neural network and IOWGA operator were incorporated. The MAPEs were controlled to within 5% in 80% of the country samples. The conclusions indicated that renewable energy in China and India declined by 8.57 mtoe and 3.19 mtoe during COVID-19 period. In contrast, the rise in renewable energy in the US is overestimated by 8.01 mtoe. Overall, previous statistics based on year-to-year comparisons have led to optimistic estimates of renewable energy development during the pandemic. This study sheds light on the need for proactive policy measures in the future to counter the global low tide of renewable energy amid COVID-19.

Yenilenebilir Enerji - Ekonomik Büyüme İlişkisi Açısından Türkiye ve AB Ülkelerinin Malmquist Endeksi ile Performans İncelemesi

Nüfus artışı, teknolojik gelişmeler vb. birçok faktör dünyadaki enerji ihtiyacını ve tüketimini hızla artırmaktadır. Son dönemlerde kişi başına düşen enerji tüketiminin artması ciddi boyutlara ulaşmış, enerji üretiminde dışa bağımlığı azaltma ve küresel ekonomik rekabette belirleyici bir aktör olma hususları enerji üretiminin önemini artırmıştır. Bu sebeple, enerji kaynaklarına sahip olan ülkeler, ekonomik olarak diğer ülkelerden farklı bir konuma geçmiştir. Bununla birlikte, günümüzdeki çevre sorunları, fosil kaynakların tükenebilir olması veya fosil kaynaklara sahip olunmaması vb. sebepler yenilenebilir enerji kaynaklarına ilgiyi artırmıştır. AB’ye üyelik sürecinde, Türkiye ve AB ülkelerinin yenilenebilir enerji performanslarının zaman içinde değerlendirilmesi literatüre ve yapılacak çalışmalara da katkı sağlayacaktır. Bu çalışmanın amacı, yenilenebilir enerji ve ekonomik büyüme ilişkisi açısından Türkiye ve AB ülkelerinin verimlilikleri değerlendirmektir. Çalışma kapsamında yapılan literatür incelemesi sonucu yenilenebilir enerji göstergeleri ile ilgili 5 değişken belirlenmiştir. Girdi değişkenleri; CO2 Salınımı, Toplam Enerji Tüketimindeki Yenilenebilir Enerji kullanımı (YEK), İşgücü (EMP) çıktı değişkenleri; Kişi Başına GSYİH ve Toplam Enerji Arzının İçindeki Yenilenebilir Enerji Oranı (TEAYEO)’dır. Çalışmada, bahsi geçen ekonomik ve yenilenebilir enerji göstergeleri yardımıyla 2008-2015 döneminde AB ülkeleri ve Türkiye’nin performanslarındaki değişimler değerlendirilmiştir. Zaman içindeki verimliliğin gelişimini değerlendirebilmek için Malmquist Toplam Faktör Verimliliği (TFV) endeksi kullanılmıştır. Malmquist Endeksi, Veri zarflama analizi (VZA) temelli bir endeks olduğundan karar verme birimleri (KVB) arasında homojeniteyi sağlayabilmek amacıyla kümeleme analizi yapılmış ve benzer ülkeler gruplandırılmıştır. Çalışma sonucunda, 2008-2015 dönemdeki TFV ortalama değerlerine göre ülkeleri sıraladığımızda, Lüksemburg’un diğer ülkelerden kayda değer bir farkla birinci sırada yer aldığı görülmektedir. Lüksemburg’u sırasıyla Belçika, Türkiye, Bulgaristan, Hırvatistan Slovenya, Kıbrıs vd. ülkeler takip etmektedir. Türkiye’nin de ortalama TFVG değerine göre başarılı ülkelerden olduğu görülmektedir.

The relationship between the use of renewable energy sources and economic growth: Case of Turkey between the years 1995–2020

The relationship between the use of renewable energy sources and economic growth: Case of Turkey between the years 1995–2020

Abstract LB521: Antitumor activity of potent RAF inhibitors in solid tumors with activated RAS-RAF axis

Abstract FDA approved three RAF inhibitors for the treatment of tumors containing BRAFV600 mutations, but one of the major drawbacks of these type I RAF inhibitors is to activate MAPK signaling pathway, instead of inhibiting signaling, which is referred to as paradoxical activation. Such undesired paradoxical activation not only leads to renewed tumor growth but also spurs additional cancer growth in non-cancerous wild-type BRAF tissue. Plus, these first-generation RAF inhibitors targeting BRAFV600 mutants are unable to inhibit oncogenic RAF dimers. This has led to the development of type II RAF inhibitors such as belvarafenib and day101 to block the activity of multiple forms of RAF while avoiding paradoxical activation. Two lead-like stage compounds 1 and 2 were specifically designed as type II RAF inhibitors to have activity across RAF isoforms including BRAFV600E, BRAF wild-type, and CRAF, showing higher potency than competitors. Compounds 1 and 2 potently inhibited the growth of BRAFV600E melanoma cells and NRAS or KRAS mutant cancer cells. Compounds 1 and 2 promoted the formation of BRAF/CRAF heterodimers by directly binding to the RAF kinase domain like other type II RAF inhibitors and inhibited phosphorylation of downstream effectors MEK and ERK in a dose-dependent manner in RAS mutant cancer cells, suggesting less paradoxical activation liability. Compound 2 showed superior on-target inhibitory activity for BRAFV600E, BRAF wild-type, and CRAF than belvarafenib through RAF immunoprecipitation (IP) kinase assay. Inhibition of the RAF downstream signaling was also confirmed by quantifying the level of phospho-ERK in NRAS or KRAS mutant cancer cells. In HCT116 (KRASG13D) subcutaneous xenograft model, compound 1 showed tumor growth inhibition efficacy, suggesting a potential to address RAS mutant driven- as well as BRAFV600 mutant driven tumors. Also, combination treatment with MEK inhibitor and/or immune checkpoint inhibitor would further improve the therapeutic activity and expand target indication for unmet medical needs. Citation Format: Kwangwoo Hwang, SeoHyun Jo, Jieun Choi, Ga-young Choi, Jiseon Choi, Ji-Hye Kwon, Dong-Guk Shin, Jiyeon Kim, Se-Hyuk Kim, Haelee Kim, Ha Yeon Cho, Jung Beom Son, Nam Doo Kim, Hwan Geun Choi, Daekwon Kim, Sunghwan Kim. Antitumor activity of potent RAF inhibitors in solid tumors with activated RAS-RAF axis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr LB521.

The Socio Economic Influence on the Livelihood Process of Recent Days Societies through the Production of Various Energy Sources

Livelihood process is influenced by various factors and the socio economic factors are becoming critical these days. In this research study that influence will be discusses in various that have been divided. The first part is the introductory part here the brief background about the topic have been provided the importance of this research along with the research aims and objectives. After the introductory the methodology and material section have been explained where the way data have been collected and the way data have been analysis have been explained briefly. Secondary data have been taken for this research and it have been analysed with the by thematic analysis by preparing themes. The next part is the results part here the detailed rationale have been provided regarding the research topic it includes four graph that have been aligned with the research topic. The graph includes the globally energy consumption, global renewable energy supplier and global GDP growth rate. The GDP growth rate and the GDP size graph aims to provide how the energy production affects the livelihoods of different countries. The results part a brief discussion part has been covering the useful finding and all the important points that have been covered in the results part have been explained thoroughly. Finally, this study has been concluded with the conclusion part where the whole discussion has been concluded. Keyword : Globally, livelihood, Renewable energy, and socio-economic.

Reimagine renewable energy exploration in post-COVID-19 Africa

ABSTRACT COVID-19 health crisis emerges at a time when African continent is pushing to increase her renewable energy (RE) uptake. To varying degrees, RE is susceptible to the global disruption engendered by COVID-19 pandemic, given its considerable impact and associated uncertainties related to economy and disruption of manufacturing processes. Therefore, there arises a need to highlight the possible impact of COVID-19 on the RE sector in Africa. Based on extensive desktop analysis and semi-structured interviews, this study discusses the socio-economic and policy impact of COVID-19 global pandemic on RE exploration. Most respondents suggested that their income level was largely unaffected, though the activities of 16% respondents in RE exploration decreased by more than 25%. Our study indicated that supply chain disruption, health and safety challenge, and financial risk, among other risks, were posed by COVID-19 pandemic. Overall, the opinion of the respondents varied on the summative impact of COVID-19 on the RE exploration in Africa. 40% of the respondents expressed that the pandemic affected their organization negatively, while 32% were positive on how the pandemic affected their business activities and income. Finally, the study proposed key priorities and strategies, such as digital transformation, domestication, and indigenization of RE technologies that can be deployed to accelerate renewable energy growth in the post-COVID-19 global pandemic era. This study will provide appropriate guidance for governments and renewable energy industries toward an accelerated uptake of renewable energy in Africa.

Effect of Renewable Energy and Traditional Energy Production on Economic Growth: The Case of Turkey and Azerbaijan

The aim of this study is to determine the relationship between traditional energy and renewable energy in the economic growth of Turkey and Azerbaijan. Multiple Linear Regression Model was used to measure whether there is a significant or insignificant relationship between dependent and independent variables and how these variables affect economic growth. Data for the years 2005-2015 were used in the study. In order to reveal the importance of the model in the analysis process, a series of assumption tests were conducted. The VIF test was used to measure whether the independent variables were related to each other, the Breusch-Godfrey LM test to examine whether there was autocorrelation between the error terms, and the Shapiro-Wilk W test, which is another assumption, was used to measure the normal distribution of the error terms. As a result of the multiple linear regression analysis performed at the end, no relationship was found between renewable energy and economic growth for Azerbaijan, but a significant result was obtained between traditional energy production and economic growth. When we examine the analysis in terms of Turkey, there is no relationship between renewable energy or traditional energy production and economic growth in this country.

150 Myr of Episodic Metamorphism Recorded in the Yukon-Tanana Terrane, Northern Canadian Cordillera: Evidence from Monazite and Xenotime Petrochronology

Abstract We used in situ laser-ablation split-stream petrochronology to target monazite and xenotime associated with specific metamorphic index minerals in the Florence Range metamorphic suite in the northern Canadian Cordillera. Based on this petrochronological approach, we reconstruct the polyphase metamorphic evolution of the Yukon-Tanana terrane in northwestern British Columbia. Our new data reveal a complex P–T–t path, requiring three metamorphic episodes and passing through the kyanite, sillimanite, and andalusite stability fields over 150 Myr from the Permian to the Early Cretaceous. The earliest preserved metamorphic event is cryptic, reaching the kyanite stability field (>600°C, >0.6 GPa) at ca. 270–240 Ma followed by retrograde metamorphism at ca. 240–215 Ma. Renewed garnet growth occurred during a second prograde metamorphic event at ca. 195–185 Ma. Garnet breakdown, possibly linked to decompression and/or cooling in the suprasolidus stability field of sillimanite and K-feldspar (>675°C, <0.8 GPa), is well-documented at ca. 185–170 Ma. Finally, a third metamorphic episode is characterized by the local growth of andalusite, then cordierite, and reached >600°C below 0.3–0.4 GPa after ca. 120 Ma. This study illustrates the importance of analyzing petrochronometers in their textural context, especially inclusions in porphyroblasts, and the complementary P–T–t information that can be extracted from monazite and xenotime. Our new data are compatible with two separate contractional events involving the Yukon-Tanana terrane during the Permian–Triassic and Late Triassic to Early Jurassic, followed by Cretaceous contact metamorphism.