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| 1 |
ID:
180634
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| Summary/Abstract |
The impact that the Belt and Road Initiative (BRI) has had on carbon emissions is a hotly debated issue. Using a panel dataset of 178 countries from 2002 to 2017, and applying the quantile difference-in-difference method in different industries, this study finds that, first, the BRI overall tends to reduce the carbon emission intensity of BRI countries. Second, the impact of BRI on reducing the carbon emission intensity is significant for BRI countries at higher (0.8 and 0.9) and lower (0.2 and 0.3) carbon emission intensity quantiles but it is insignificant for those at medium levels. Third, the BRI has significant impacts on reducing carbon emission intensity in the energy-intensive industries, and this effect is the highest at the quantile level of 0.9 for all three industries considered here: transportation, electric and heating, and manufacturing and construction. These results indicate that establishing BRI cooperation with China will improve the environment and enhance the sustainable development ability of BRI countries.
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| 2 |
ID:
170111
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| Summary/Abstract |
The international trade of waste has been an important and growing part of the global economy during the last two decades, which imposes regulatory challenges to governments in the South to protect the environment. This paper investigates the effect of border controls with a difference-in-difference design by exploiting a unique natural experiment, China's Operation Green Fence (OGF) implemented in 2013. We find that the OGF exerted a significant deterrent effect on the waste imported into China. Specifically, we find that the import weight of waste grew by 9.48 percentage less and the import price declined by 7.6 percentage more compared to those of the non-waste. The results are robust to a series of robustness checks, and there is no similar reaction in other regions, where the OGF was not initiated.
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| 3 |
ID:
191270
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| Summary/Abstract |
We examine the impact of large-scale photovoltaic projects (LSPVPs) on residential home prices in six U.S. states that account for over 50% of the installed MW capacity of large-scale solar in the U.S. Our analysis of over 1,500 LSPVPs and over 1.8 million home transactions answers two questions: (1) what effect do LSPVPs have on home prices and (2) does the effect of LSPVP on home prices differ based on the prior land use on which LSPVPs are located, LSPVP size, or a home's urbanicity? We find that homes within 0.5 mi of a LSPVP experience an average home price reduction of 1.5% compared to homes 2–4 mi away; statistically significant effects are not measurable over 1 mi from a LSPVP. These effects are only measurable in certain states, for LSPVPs constructed on agricultural land, for larger LSPVPs, and for rural homes. Our results have two implications for policymakers: (1) measures that ameliorate possible negative impacts of LSPVP development, including compensation for neighbors, vegetative shading, and land use co-location are relevant especially to rural, large, or agricultural LSPVPs, and (2) place- and project-specific assessments of LSPVP development and policy practices are needed to understand the heterogeneous impacts of LSPVPs.
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