Greenhouse gas emissions and stock market volatility: an empirical analysis of OECD countries

Noh, Jung-Hee; Park, Heejin

doi:10.1108/ijccsm-10-2021-0124

Cited by 9 publications

(1 citation statement)

References 82 publications

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“…First, by integrating the RBV and network perspectives, we add explanatory power to the analysis of circular economy network-building (Kristoffersen et al, 2021) Circular economy network building conducts a comprehensively examines circular economy network-building among offshore subsidiaries of Taiwan-based MNCs to improve the understanding of the three circular economy network policies and local competence enhancement (replaced by their relationships with competence enhancement of offshore subsidiaries in the host country). Second, as shown in Figure 1, this study fills the resilience strategy gap by incorporating the literature on FDI and climate change action with a post hoc multigroup analysis (MGA) (Filho et al, 2023;Noh and Park, 2023;Wu and Deng, 2020). The empirical results provide a holistic view of the path influence of the reduce, reuse and recycle policy networks on subsidiaries' competence enhancement related to production size, manufacturing know-how and production quality.…”

Section: Introductionmentioning

confidence: 99%

Impact of circular economy network building: resilience strategy to climate action

Lin

Chang

2023

IJCCSM

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Purpose This study aims to examine how external and internal conditions drive the impact of circular economy mechanism by decomposing into three policy networks in terms of reduce, reuse and recycle, to better understand the contingency model of climate change and effect of firm size on subsequent performance. Design/methodology/approach Drawing on circular economy network and resource-based view (RBV)-network-resilience strategy framework, a pooled longitudinal cross-sectional data model is developed using a sample of 4,050 Taiwanese manufacturing multinational corporations (MNCs) making foreign direct investment between 2013 and 2018. Structural equation modeling analysis is used to comprehensively examine and investigate each circular economy policy network in the context of climate change and firm size. Post hoc multigroup analysis (MGA) is also conducted. Findings MGA shows that the reduce policy network is positively and negatively related to manufacturing know-how and production size, respectively. The impact of reuse policy network can enhance the competence of large firms. The recycle policy network is more prominent in terms of competence enhancement of climate change. Practical implications MNCs are seeking to build circular economy policy networks to a greater extent, given climate change pressure and guidelines. Originality/value This study adds to the circular economy and RBV-network-related literature on climate change and interactions to enhance performance, echoing the recent call on the sustainability of the circular economy of MNCs.

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Section: Introductionmentioning

confidence: 99%

Impact of circular economy network building: resilience strategy to climate action

Lin

Chang

2023

IJCCSM

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An accuracy assessment of satellite-based cotton yield estimation using panel data regression: a case study of Uzbekistan

Khodjaev,

Bobojonov,

Kuhn

et al. 2024

Environ Dev Sustain

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Satellite-based yield estimation is crucial for spotting potential deficits in crop yields at an early stage, supports farm-level decision-making and early-warning systems, and is a prerequisite for index insurance markets. Precise satellite-based yield estimations are already established for important food crops like maize and wheat. However, for many cash crops like cotton, the accuracy of satellite-based yield estimation has not been scientifically tested, mainly due to their low biomass-yield correlation. This paper contributes to exploring the suitability of multiple vegetation indices based on Sentinel-2 imagery to estimate farm-level yields for one of these cash crops, cotton. We estimated various vegetation indices conjugated with the cotton crop phenology for the selected study area and compared them with farm-level panel data (n = 232) for the years 2016–2018 obtained from a statistical agency in Uzbekistan. Overall, we tested the suitability of the Normalized Difference Vegetation Index, the Modified Soil Adjusted Vegetation Index 2, the Red-Edge Chlorophyll Index and the Normalized Difference Red-Edge Index (NDRE). Among these indices, the NDRE index shows the highest fit with the actual cotton yield data (R2 up to 0.96, adj R2 = 0.95 and RMSE = 0.21). These results indicate that the NDRE index is a powerful indicator for determining cotton yields. Based on this approach, farmers can monitor crop growth, which in turn avoids crop loss and thereby increases productivity. This research highlights that a satellite-based estimate of crop production can provide a unique perspective which should improve the possibility of identifying management priorities to improve agriculture productivity and mitigate climate impacts.

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Greenhouse gas emissions and the stability of equity markets

Aharon,

Baig,

Jacoby

et al. 2024

Journal of International Financial Markets, Institutions and Mo

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Greenhouse gas emissions and stock market volatility: an empirical analysis of OECD countries

Cited by 9 publications

References 82 publications

Impact of circular economy network building: resilience strategy to climate action

Impact of circular economy network building: resilience strategy to climate action

An accuracy assessment of satellite-based cotton yield estimation using panel data regression: a case study of Uzbekistan

Greenhouse gas emissions and the stability of equity markets

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