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321.
As business, government, and society continue to emphasize the importance of sustainability—both of individual organizations and of the natural world—accounting standard-setting bodies want to be part of the process. In September 2020, in response to “urgent and growing demand” for more “consistent and comparable” sustainability reporting, the IFRS Foundation (the Foundation) released for comment a Consultation Paper on Sustainability Reporting. In the paper, the Foundation proposed the creation of a Sustainability Standards Board (SSB), which it would oversee alongside the IASB. The SSB would become, de facto, the global sustainability reporting standard setter. The Foundation received 577 responses to its proposal. These responses came from around the world and from a wide range of stakeholders. Thirty-eight of the responses came from Canada. This study profiles the Canadian responses, contrasting them with the wider set of worldwide responses. Some uniquely Canadian features include user responses from a large number of pension funds and preparer responses solely from the energy sector. There was also a significant response from the Canadian accounting community, including from the full set of Canadian standard-setting organizations. Five auditors general also responded. Overall, Canadian respondents supported both globalized sustainability reporting standards and the Foundation's creation of the SSB. This support aligns Canada's response with the worldwide response. 相似文献
322.
We estimate nonmarket values for natural views in an urban setting. These views contain the aesthetics of natural areas commonly found in public parks and open space, and offer an aspect of property valuation that previous research is unable to disentangle from proximity to parks and open space. We incorporate machine learning techniques on Google Street View images to identify natural views in an urban setting. We find positive capitalization rates associated with household views of park-like properties. Estimates are robust to a variety of specifications, including models that are identified off of new developments on neighboring properties and falsification tests that help to rule out the effect of a broader neighborhood environment. From a policy perspective, our results inform as to the optimal size, location, and shape of open space. Furthermore, machine learning methods used in the construction of our view variable provide a potentially powerful tool for other nonmarket valuation studies. 相似文献
323.
Fout Hamilton Mota Nuno Rosenblatt Eric 《The Journal of Real Estate Finance and Economics》2022,65(3):451-491
The Journal of Real Estate Finance and Economics - Using home purchase loan application data, we study buyer responses to the uncommon occurrence of the appraised value coming in below the contract... 相似文献
324.
Ben Hamilton 《Southern economic journal》2023,89(3):830-859
The interest-minimizing strategy to paying multiple debts is to make all minimum payments and allocate remaining funds to the debt with the highest interest rate. However, cognitive biases such as debt account aversion and financial advisors encourage borrowers to instead allocate remaining funds to debts with lower outstanding balances, a strategy known as the Debt Snowball. The author uses the 2016 Survey of Consumer Finances to quantify the pecuniary costs for American households of following the Debt Snowball and finds that the average household pays an additional 1.8%–4.3% in interest, leading to an aggregate transfer of wealth from borrowers to lenders of between $46.2 and $53.9 billion in excess of what would occur if borrowers instead minimized interest accrual. Due to differences in household debt structure, the Debt Snowball strategy imposes greater pecuniary penalties on low-income households, on Black households, and on households with more initial debts. 相似文献