A wavelet analysis of dynamic connectedness between geopolitical risk and renewable energy volatility during the COVID-19 pandemic and Ukraine-Russia conflicts

Ha, Le Thanh

doi:10.1007/s11356-023-26033-1

Cited by 13 publications

(3 citation statements)

References 58 publications

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“…An impulse response function (IRF) measures the shock transmission effect between variables, and is commonly used to understand the responses of multivariate systems in ecology, environment, and economics (Chatziantoniou et al., 2022; Ha, 2023). This approach introduces short‐term shocks into the VAR model to observe how vegetation indices respond to climate change and quantifies the intensity and duration of their response (Koop et al., 1996; Tang et al., 2021; Thompson & Randerson, 1999).…”

Section: Methodsmentioning

confidence: 99%

Vegetation growth responses to climate change: A cross‐scale analysis of biological memory and time lags using tree ring and satellite data

Tang,

Liu,

Jing

et al. 2024

Global Change Biology

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Vegetation growth is affected by past growth rates and climate variability. However, the impacts of vegetation growth carryover (VGC; biotic) and lagged climatic effects (LCE; abiotic) on tree stem radial growth may be decoupled from photosynthetic capacity, as higher photosynthesis does not always translate into greater growth. To assess the interaction of tree‐species level VGC and LCE with ecosystem‐scale photosynthetic processes, we utilized tree‐ring width (TRW) data for three tree species: Castanopsis eyrei (CE), Castanea henryi (CH, Chinese chinquapin), and Liquidambar formosana (LF, Chinese sweet gum), along with satellite‐based data on canopy greenness (EVI, enhanced vegetation index), leaf area index (LAI), and gross primary productivity (GPP). We used vector autoregressive models, impulse response functions, and forecast error variance decomposition to analyze the duration, intensity, and drivers of VGC and of LCE response to precipitation, temperature, and sunshine duration. The results showed that at the tree‐species level, VGC in TRW was strongest in the first year, with an average 77% reduction in response intensity by the fourth year. VGC and LCE exhibited species‐specific patterns; compared to CE and CH (diffuse‐porous species), LF (ring‐porous species) exhibited stronger VGC but weaker LCE. For photosynthetic capacity at the ecosystem scale (EVI, LAI, and GPP), VGC and LCE occurred within 96 days. Our study demonstrates that VGC effects play a dominant role in vegetation function and productivity, and that vegetation responses to previous growth states are decoupled from climatic variability. Additionally, we discovered the possibility for tree‐ring growth to be decoupled from canopy condition. Investigating VGC and LCE of multiple indicators of vegetation growth at multiple scales has the potential to improve the accuracy of terrestrial global change models.

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Section: Methodsmentioning

confidence: 99%

Vegetation growth responses to climate change: A cross‐scale analysis of biological memory and time lags using tree ring and satellite data

Tang,

Liu,

Jing

et al. 2024

Global Change Biology

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“…Bu çalışmalarda çevresel sorunlar temelde makroekonomik aktivitelerle ilişkilendirilmektedir. Araştırmacılar başta ekonomik büyüme (Cheng ve Chiu, 2018;Soybilgen vd., 2019;Soltani vd., 2021), yenilenebilir enerji tüketimi (Alsagr ve van Hemmen, 2021;Cai ve Wu, 2021;Yang vd., 2021;Dutta ve Dutta, 2022;Flouros vd., 2022;Ha, 2023), doğrudan yabancı yatırımlar (Arslan, 2019;Nguyen vd., 2022), kamu yatırımları (Bilgin vd., 2020), finansal gelişme (Zhou vd., 2020), ticaret hacmi (Gupta vd., 2019), emita fiyatları (Yang, 2022), petrol fiyatları (Bouoiyour vd., 2019;Cunado vd., 2020), borsa dinamikleri (Balcilar vd., 2018), döviz kurları (Özkan, 2020), üretici-tüketici güven endeksi (Pehlivanoğlu vd., 2021) ve turizm talebi (Balli vd., 2019;Saint Akadiri vd., 2020;Gozgor vd., 2022) olmak üzere jeopolitik riskten etkilenen pek çok faktör üzerine araştırmalar yapmıştır. Ancak jeopolitik riskin çevresel performans üzerindeki etkisi son dönemlerde araştırmacıların ilgisini çekmiştir.…”

Section: Li̇teratür Araştirmasiunclassified

Sürdürülebi̇li̇r Ekonomi̇k Büyüme, Jeopoli̇ti̇k Ri̇sk Ve Çevre Performansi: Abd Ekonomi̇si̇nden Kanitlar

İMAMOĞLU

2023

Asya Studies

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Son yıllarda yaşanan çevresel felaketler, küresel ısınma ve ülkeler arasındaki siyasi gerilimler dünyamızı yaşanamaz hale getirmekte ve endişelere neden olmaktadır. Bu durum hem ulusal hem de uluslararası kuruluşların gündemini meşgul etmekte ve önleyici politika üretmeye zorlamaktadır. Ülkelerin mevcut koşullarını, sürdürülemez politikalarla iyileştirme çabaları, gelecek nesillerin yaşam alanlarını ve koşullarını olumsuz etkileyebilecektir. Bu nedenle ülkelerin sürdürülebilir ekonomik büyümeyi politikalarını, çevresel performansını dikkate alarak tasarlamalarının gerekliliği her geçen gün daha da önemli hale gelmektedir. Bu durum çevre performansı üzerinde etkisi olan faktörlerin belirlenmesi ve çevre performansını iyileştirici sürdürülebilir ekonomi politikaların tasarlanmasına olan ihtiyaca işaret etmektedir. Bu nedenle bu çalışmada ABD için 1970-2021 dönemi yıllık verileriyle sürdürülebilir ekonomik büyüme ve jeopolitik riskin çevre performansı ilişkisi ARDL Sınır Testi yaklaşımıyla incelenmiştir. ARDL Sınır Testi yaklaşımından elde edilen uzun dönem katsayılarına göre ABD’de, ekonomik büyüme ve yenilenemez enerji tüketiminin çevre performansını negatif, yenilenebilir enerji tüketiminin ise çevre performansını pozitif etkilediği tespit edilmiştir. Ayrıca ABD’de jeopolitik risk ve ticari açıklığın çevre performansı üzerinde istatistiki olarak anlamlı bir ilişkisinin olmadığı sonucuna ulaşılmıştır. Bu bulgular, yenilenebilir enerji tüketiminin teşvik edilmesinin çevre performansı için önemli bir politika bileşeni olduğuna işaret etmektedir. ABD ekonomisinde enerji ihtiyacının yenilenebilir kaynaklardan sağlanmasının biyolojik kapasitenin arttırılması ve ekolojik ayak izin azaltılmasına katkı sağlayabileceği düşünülmektedir.

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“…Moreover, during the pandemic, countries implemented preventive measures such as the closure of factories and the suspension of construction projects, which directly led to a decline in electricity demand. Many factors, including major public emergencies and ongoing geopolitical conflicts around the world, may cause the carbon, renewable energy, and electricity markets to be volatile for the foreseeable future, leading to uncertainty about market prices (Jareño et al, 2021;Bento et al, 2021;Ha., 2023). This means that unexpected events may amplify risk spillovers among carbon, renewable energy, and electricity markets and further increase the level of systemic risk (Tiwari et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

The dynamic risk spillover effects among carbon, renewable energy, and electricity markets based on the TVP-VAR-DY model

Luo,

Hong,

Guang

2024

Environ Sci Pollut Res

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The linkages among carbon, renewable energy, and electricity markets are gradually strengthening. This paper uses the TVP-VAR-DY (Time Varying Parameter-Vector Auto Regression-Dynamic) model to analyze the dynamic risk spillover effects and network structure of risk transmission among carbon, renewable energy, and electricity markets. The empirical resultsshow that there are significant asymmetric spillover effects among carbon, renewable energy, and electricity markets. The total spillover index shows that spillover effects among carbon, renewable energy, and electricity markets are time-varying, especially during unexpected events. Besides, the net spillover index indicates that the spillover effects are bidirectional, asymmetric, and timevarying. Finally, under the influence of unexpected events, the network structures of risk transmission among carbon, renewable energy, and electricity markets are heterogeneous.Compared to the Russia-Ukraine conflict, the COVID-19 pandemic has a more significant impact on these markets.

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A wavelet analysis of dynamic connectedness between geopolitical risk and renewable energy volatility during the COVID-19 pandemic and Ukraine-Russia conflicts

Cited by 13 publications

References 58 publications

Vegetation growth responses to climate change: A cross‐scale analysis of biological memory and time lags using tree ring and satellite data

Vegetation growth responses to climate change: A cross‐scale analysis of biological memory and time lags using tree ring and satellite data

Sürdürülebi̇li̇r Ekonomi̇k Büyüme, Jeopoli̇ti̇k Ri̇sk Ve Çevre Performansi: Abd Ekonomi̇si̇nden Kanitlar

The dynamic risk spillover effects among carbon, renewable energy, and electricity markets based on the TVP-VAR-DY model

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