{"title":"Impact of financial development on the development of the renewable energy industry of China","authors":"Danqi Wei , Hui Wu","doi":"10.1016/j.jclimf.2023.100023","DOIUrl":"https://doi.org/10.1016/j.jclimf.2023.100023","url":null,"abstract":"<div><p>Building a new electricity system based on renewable energy reflects the strategic direction of China's low-carbon energy transition, we examine the role of financial development in this process. Distinguishing from existing studies, we focus on the four dimensions of bank intermediation, bond market, stock market and FDI and to measure the growth in the renewable energy industry (RE) using aggregate and relative volume indicators. There are three main findings in this paper. First, bank credit and bond financing are the most important external financing instruments. Second, the effect of FDI on RE is significant only in southern China. Third, the effect of the stock market on renewable energy production is related to the regional financial market environment and the intrinsic dynamics of transformation, which is more significant in the southern and energy-rich regions but not fully evident in the northern and energy-poor regions. Regarding the mechanism of influence, in the South, bank intermediation, the bond market and the stock market contribute to renewable energy technology and thus to the capital formation of enterprises. FDI can force renewable energy firms in the South to increase their innovative decisions and helps promote the share of renewable energy production. In energy-poor regions, bank intermediation and bond markets are more conducive to promoting renewable energy technology and thus industry growth. Further study finds that the favorable policy signals released by the central government can lead to more financial capital allocations to the industry, which in turn creates diversified financing channels for enterprises.</p></div>","PeriodicalId":100763,"journal":{"name":"Journal of Climate Finance","volume":"5 ","pages":"Article 100023"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49890647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Climate risk and financial stress in ECOWAS","authors":"Mamadou Nouhou Diallo , Mamadou Mouminy Bah , Seydou Nourou Ndiaye","doi":"10.1016/j.jclimf.2023.100025","DOIUrl":"https://doi.org/10.1016/j.jclimf.2023.100025","url":null,"abstract":"<div><p>This study examines the causal relationship between climate risk and financial stress in ECOWAS countries spanning the period from 2000–2019. We use the Multivariate Threshold Autoregressive Vector model (MTVAR) to estimate this relationship. Our findings reveal the existence of an optimal temperature threshold, below and above which a complex interplay occurs between climate risk and financial stress. This empirical evidence strongly supports the the non-linear relationship between climate risk and financial stress. Specifically, our analysis identifies 28.35<sup>°C</sup> as the optimal temperature threshold. Below this point, the contribution of climate risk to financial stress diminishes, and conversely, the financial system acts to mitigate global warming. However, above 28.35<sup>°C</sup>, climate risk exacerbates financial stress, and the financial system becomes a contributor to global warming. Public and monetary authorities need to pay more attention to the impact of climate risk on finance and the way it operates in ecological transitions.</p></div>","PeriodicalId":100763,"journal":{"name":"Journal of Climate Finance","volume":"5 ","pages":"Article 100025"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949728023000214/pdfft?md5=9e0d76d564b7b84d17a2aa0fdc0100eb&pid=1-s2.0-S2949728023000214-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92047439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Finance “Blending” and NDC achievement under the Paris agreement","authors":"Jon Strand","doi":"10.1016/j.jclimf.2023.100024","DOIUrl":"https://doi.org/10.1016/j.jclimf.2023.100024","url":null,"abstract":"<div><p>Climate finance, funded by governments of high-income (H) countries, can be used to purchase assets in the international carbon market for offset trading, thus “blending” with such transactions. In this paper it is shows analytically that when there are no distortions in credit markets, finance blending leads to too little greenhouse gas (GHG) mitigation in H countries, and too much in L countries. The offset market is then distorted by climate finance blending, given that all offset credits are attributed to the carbon market participants. This distortion is removed when such “blended” climate finance resources are instead attributed in proportion to their finance shares. Adding climate finance to the carbon market has no impact on global GHG mitigation as long as the trading countries’ targets for emissions reductions (their “climate ambition”) is not changed; higher ambition levels are thus always required for climate finance to contribute to a reduction in global GHG emissions. When L country market participants have limited access to credit markets, blending can increase global greenhouse-gas mitigation by adding climate finance resources to the carbon market, thus facilitating L country market participants’ access to funding of their planned mitigation projects.</p></div>","PeriodicalId":100763,"journal":{"name":"Journal of Climate Finance","volume":"5 ","pages":"Article 100024"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949728023000202/pdfft?md5=4e74e97e148e8cdd5ec4f7bf2958bd52&pid=1-s2.0-S2949728023000202-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92047441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corporate environmental performance and efficiency: Evidence from stochastic frontier analysis","authors":"Paulo Pereira da Silva","doi":"10.1016/j.jclimf.2023.100022","DOIUrl":"https://doi.org/10.1016/j.jclimf.2023.100022","url":null,"abstract":"<div><p>This study provides novel insights into the relationship between corporate environmental performance (CEP) and corporate economic performance as measured by technical efficiency. Using stochastic frontier analysis (SFA) methodology, we find a positive link between CEP and technical efficiency for a sample of U.S. listed firms (from industries that typically raise environmental concerns) in the period 2005–2019. This association is stable over time. Additional tests suggest that such association is non-linear (convex), with high-rated firms presenting disproportionally stronger gains in terms of technical efficiency relative to others. In a different vein, we also show that the strength of the association varies across business sectors, a firm’s size and (historical average) profit margin. The impact of CEP is akin to the ability of firms to cut emissions and/or curb resource use and waste. Surprisingly, environmental product innovation appears to produce negligible effects on technical efficiency.</p></div>","PeriodicalId":100763,"journal":{"name":"Journal of Climate Finance","volume":"5 ","pages":"Article 100022"},"PeriodicalIF":0.0,"publicationDate":"2023-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49890646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A learning by doing multiplier accelerates the transition to photovoltaic cells","authors":"Anita C. Tendler, Robert K. Kaufmann","doi":"10.1016/j.jclimf.2023.100016","DOIUrl":"https://doi.org/10.1016/j.jclimf.2023.100016","url":null,"abstract":"<div><p>Abating emissions of carbon dioxide depends in part on how quickly the levelized cost of electricity (LCOE) from photovoltaic cells (PV) achieves grid parity without policy interventions. Reaching this threshold is accelerated by learning by doing, which reduces the LCOE generated by PV. The resultant cost reduction generates a positive feedback loop and increases the demand for PV; but previous analyses ignore this feedback and therefore overlook a critical learning by doing multiplier effect, in which increasing the cumulative production of PV modules lowers their price, and lower PV module prices increase purchases of PV modules, which increases cumulative production of PV modules, and so on. We quantify the learning by doing multiplier effect with a cointegrating vector autoregression (CVAR) model that captures the simultaneous relation between the price for and cumulative production of PV modules. The learning by doing multiplier effect amplifies the static effects of learning by nearly a factor of ten and eliminates the simultaneous equation bias in previous estimates of unidirectional learning curves. This multiplier effect enhances the ability of policies, such as a carbon tax, to lower the costs of PV, increase cumulative production, and lower carbon emissions. Together, these results suggest that grid parity is closer than indicated by unidirectional learning curves.</p></div>","PeriodicalId":100763,"journal":{"name":"Journal of Climate Finance","volume":"4 ","pages":"Article 100016"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49882313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"REIT capital structure strategy in the aftermath of hurricanes","authors":"Hana Nguyen","doi":"10.1016/j.jclimf.2023.100014","DOIUrl":"https://doi.org/10.1016/j.jclimf.2023.100014","url":null,"abstract":"<div><p>This paper studies the causal impacts of hurricanes on capital structure. The sample covers 181 US public equity Real Estate Investment Trusts (REITs) throughout 2011–2018, during which 8 catastrophic hurricanes made landfalls in the contiguous US. This study finds that a basis point (0.01%) increment in REIT sudden exposure to hurricanes leads to a negative liquidity shock of 15.3% in corporate cash. Such shock is immediately followed by a 26.4% increase in leverage, measured as total debt over total assets. The effects are temporary, lasting only one quarter during the shock. REIT reactions to hurricanes are consistent with the pecking order theory of capital structure. Overall, hurricane ramifications to REIT capital structure strategy can be as impactful as any distress event that alters corporate liquidity and ability to maintain its daily operation.</p></div>","PeriodicalId":100763,"journal":{"name":"Journal of Climate Finance","volume":"4 ","pages":"Article 100014"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49882314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identifying factors affecting the preference for green bonds: A Japanese case study","authors":"Kentaka Aruga, Timothy Bolt","doi":"10.1016/j.jclimf.2023.100021","DOIUrl":"https://doi.org/10.1016/j.jclimf.2023.100021","url":null,"abstract":"<div><p>International green bond (GB) guidelines and previous studies suggest that credit rating, issuer type, certification, reporting, and use of proceeds are important factors to be considered when issuing GBs. However, little is known about whether these elements are also recognized as key determinants of GBs by investors. By conducting a discrete choice experiment, this study demonstrated that these factors increase investors' preference for GBs, although they remained indifferent to the type of green project to be funded through GBs. The study also investigated how measures of investors’ social responsibility affect the preference for GBs and found that investors with higher altruism and levels of environmental awareness demonstrated a higher willingness to invest in GBs. The results indicate that the issuance of GBs should be aligned with international GB guidelines and underline the importance of providing information on how GBs can contribute to reducing environmental impacts.</p></div>","PeriodicalId":100763,"journal":{"name":"Journal of Climate Finance","volume":"5 ","pages":"Article 100021"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49890644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robert K. Kaufmann , Nalin Kulatilaka , Melissa Mittelman
{"title":"Evaluating hedge fund activism: Engine Number 1 and ExxonMobil","authors":"Robert K. Kaufmann , Nalin Kulatilaka , Melissa Mittelman","doi":"10.1016/j.jclimf.2023.100018","DOIUrl":"https://doi.org/10.1016/j.jclimf.2023.100018","url":null,"abstract":"<div><p>We analyze efforts by a small activist hedge fund, Engine Number 1 to affect financial and environmental performance by electing directors to ExxonMobil’s Board. We compare the performance of ExxonMobil to six peers by expanding a five-factor statistical model for asset returns to include oil prices, oil price volatility, and variables that identify one-time and sustained changes in returns. Low returns to ExxonMobil stock may be caused by its position along the supply chain, and not poor management of climate risk, which suggests that electing directors to ExxonMobil’s board will not raise returns. Efforts by Engine Number 1 affect returns to ExxonMobil stock for short periods, but electing its candidates have no permanent effect during the sample period. These results suggest that markets react to information that may not be available to the public and that using windows around public announcements may be too blunt to accurately assess the effects of hedge fund activism on stock returns. Although it is too soon to judge the new directors’ impact on environmental management, the lack of a negative effect on stock returns in the sample period contradicts the economic notion that firms who voluntarily ameliorate externalities put themselves at a competitive disadvantage relative to firms that ignore externalities. If no negative effects appear in the future, this would imply that hedge fund activism can be judged successful if it generates social benefits without negative effects on financial performance, which we call a ‘win-draw’ outcome.</p></div>","PeriodicalId":100763,"journal":{"name":"Journal of Climate Finance","volume":"5 ","pages":"Article 100018"},"PeriodicalIF":0.0,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49890645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Portfolio allocation and optimization with carbon offsets: Is it worth the while?","authors":"Carsten Mueller , Papa Orgen , Patrick Behr","doi":"10.1016/j.jclimf.2023.100019","DOIUrl":"https://doi.org/10.1016/j.jclimf.2023.100019","url":null,"abstract":"<div><p>We explore whether the integration of carbon offsets into investment portfolios improves performance. Using compliance and voluntary carbon offsets from around the world, our results show that investment strategies that include such offsets broadly achieve higher Sharpe Ratios than the diversified benchmark, with the long-short strategy performing best. We find that compliance and voluntary carbon offsets are mostly net volatility and return spillover recipients, consistent from a macro-perspective. These results, which are documented for the first time in the literature provide new empirical evidence on integrating carbon offsets into portfolios and may attract new financial and retail investors to carbon markets.</p></div>","PeriodicalId":100763,"journal":{"name":"Journal of Climate Finance","volume":"5 ","pages":"Article 100019"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49890642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Handle with care: Challenges in company-level emissions data for assessing financial risks from climate change","authors":"Andrej Bajic , Rüdiger Kiesel , Martin Hellmich","doi":"10.1016/j.jclimf.2023.100017","DOIUrl":"https://doi.org/10.1016/j.jclimf.2023.100017","url":null,"abstract":"<div><p>Climate data play an important role for market actors and regulators to assess climate-related vulnerability. The most important quantitative class of such data are carbon emissions as almost all metrics to analyse carbon exposure relate to carbon emissions of companies and countries. This paper provides a detailed analysis of the quality of carbon emission data, points out the most common data flaws, and offers suggestions for a robust empirical analysis. Using a large data set of company-level carbon emissions, we show that year-by-year analysis of the consistency of company emissions is required to identify data flaws. Also, we find that economic and carbon data are not perfectly synchronised. As all carbon-emission metrics suffer from similar data inconsistencies robustness of results is not achieved by using several such metrics. Thus, our findings serve as a warning for the reliability of emission data reporting and their unreflected use in empirical analyses.</p></div>","PeriodicalId":100763,"journal":{"name":"Journal of Climate Finance","volume":"5 ","pages":"Article 100017"},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49890643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}