Adaptive responses to landscape changes from onshore wind energy development in the Republic of Ireland

Covering 26 years of Irish onshore wind energy development, this article tracks patterns in landscape changes from wind farm construction and identifies adaptive responses in public policy and by stakeholder groups. Wind farms face well-documented challenges with social acceptance due to landscape changes; however, little research has examined interactions between landscape change and social adaptations over the long-term. This article systematically reviews 20 policy documents, undertakes spatio-temporal linear modeling of 212 wind farms using 9 landscape change metrics, and analyzes 5 stakeholder group interviews on adaptive responses to landscape changes. Upward trends occur in turbine height, impact accumulation, placement in agricultural landscapes, construction delays, and new farms built per year. Downward trends occur in the number of turbines per farm, visual disruption of protected areas, and placement in wetlands. Key patterns in stakeholder groups’ adaptations include conflicting interpretations of landscape amenities and evolution, and expanded community outreach, networking, and public participation after exposure to infrastructure. Stakeholders adapt to existing infrastructure separately from adapting strategies to respond to new wind farms. Overall, a mutual relationship emerges wherein landscape changes from wind farms respond to policies and stakeholder activities, while policies and stakeholder groups adapt to the physical realities of landscape change.     

Probabilistic wind forecasting up to three months ahead using ensemble predictions for geopotential height

We develop a method for forecasting the distribution of the daily surface wind speed at timescales from 15-days to 3-months in France. On such long-term timescales, ensemble predictions of the surface wind speed have poor performance, however, the wind speed distribution may be related to the large-scale circulation of the atmosphere, for which the ensemble forecasts have better skill. The information from the large-scale circulation, represented by the 500 hPa geopotential height, is summarized into a single index by first running a PCA and then a polynomial regression. We estimate, over 20 years of daily data, the conditional probability density of the wind speed at a specific location given the index. We then use the ECMWF seasonal forecast ensemble to predict the index for horizons from 15-days to 3-months. These predictions are plugged into the conditional density to obtain a distributional forecast of surface wind. These probabilistic forecasts remain sharper than the climatology up to 1-month forecast horizon. Using a statistical postprocessing method to recalibrate the ensemble leads to further improvement of our probabilistic forecast, which then remains calibrated and sharper than the climatology up to 3-months horizon, particularly in the north of France in winter and fall.     

Environmental policies,national culture,and stock price crash risk: Evidence from renewable energy firms

This study investigates the impact of country‐level environmental performance and national culture on the stock price crash risk of renewable energy firms. Employing a large sample of 626 renewable energy firms across 31 countries, we find a significant nonlinear relationship between country‐level environmental performance and crash risk. National culture dimensions are found to strongly predict the crash risk of renewable energy firms, particularly after the global financial crisis. On the contrary, national culture dimensions and environmental policies are observed to not exert any significance in explaining the crash risk of fossil fuel firms. Our results are robust with respect to alternative measures of stock price crash risk and the endogeneity of national culture dimensions. Overall, the findings of this paper contribute to the environmental economics literature by providing new evidence regarding the role of societal and environmental factors in explaining the stock price crash risk of energy firms.     

新能源汽车价格补贴政策的绩效分析和改善建议--以J新能源汽车公司为例

新能源汽车是我国汽车行业重要的发展方向,笔者通过研究我国新能源汽车的发展历程、价格补贴政策存在的问题,提出完善新能源汽车价格补贴政策的对策,以期为我国新能源产业的科学发展和我国汽车产业的转型升级提供参考。     

《能源宪章条约》下可再生能源投资仲裁案及启示——以西班牙投资仲裁案为主线的考察

为了加速可再生能源产业的发展,多数国家都制定了相关激励措施以吸引跨国公司的投资。但是,随着政策的变化,相关的法律争端也随之产生。除了国际贸易争端以外,与可再生能源相关的投资争端也大量出现,其中以西班牙最为典型,所涉投资案件也最多。随着"一带一路"倡议的推进,我国投资者在海外可再生能源领域的投资会大幅增加。与此同时,我国能源领域对外开放的幅度正在加大,可再生能源领域的外资也会越来越多,但我国现有法律制度并不足以规范可再生能源的未来发展。本文分析西班牙相关法律政策变化及仲裁庭的裁决,以期对我国可再生能源法律政策的发展和完善,以及可再生能源领域的海外投资者保护提供启示,也为我国分析评估是否加入《能源宪章条约》提供借鉴。     

出口经验能助推对外直接投资吗?--基于中国与“一带一路”沿线国家宏观数据的实证研究

以"一带一路"沿线45国2003~2014年数据为样本,实证检验了出口经验能否提升对外直接投资。研究结果显示,出口经验显著提升中国对"一带一路"沿线国家的直接投资。在基准模型的基础上,引入公共治理、能源禀赋和地理区位与出口经验交互项的实证结果还显示,出口经验对直接投资的促进效应随着东道国治理水平提升而提高,对陆上丝绸之路国家的作用显著低于海上丝绸之路国家,而能源禀赋并未直接或间接通过出口经验对直接投资产生作用。这些研究结论说明,企业在不确定性外部环境下进行对外直接投资时,倾向于通过建立出口学习曲线并依此进行直接投资决策。     

农村劳动力流动对脱贫的影响文献综述

关于农村劳动力流动与贫困之间的关系一直是社会各界广泛关注的焦点。本研究通过对相关文献的梳理，针对劳动力外出务工的减贫效应，从贫困缓解论、贫困加剧论以及不确定论三方面进行概述，重点分析劳动力流动对我国农村贫困的影响及机制。结果表明，农村劳动力外出务工通过提高农户非农收入和改善整个社会的资源配置效率在收入维度上对农村贫困具有一定减缓作用，但同时，受农村劳动力过量流失的影响，外出务工在农户生活照料及社会保障等多维贫困上并未表现出显著作用，甚至存在一定负面影响。因此，应把握好劳动力外出之度，促进劳动力就近就业，同时加强对农村留守人员的社会保障，以实现多维脱贫、乡村繁荣。     

京津冀城市群能源代谢时空特征及优化调控研究

随着中国经济的快速发展,能源消费也快速增长。随着节能减排的压力越来越大,能源的代谢需要根据需求进行更替。论文就京津冀城市群能源代谢时空特征分析并对能量代谢进行优化和调控提出建议。     

Employment Dynamics and Linkages in the Rural Economy: Insights from Senegal

Evidence on rural wage employment is thin and lacks nuance for different employment sources, insights on dynamic effects, and an understanding of the channels of effects. We assess conceptually and empirically the direct and indirect welfare effects of entry and continuation in different types of wage employment in rural Senegal. Using panel data, fixed effects and first-difference estimation, we show substantial positive welfare and linkage effects. We find that participation in wage employment increases per capita income by 143%, and reduces poverty, poverty gap and food insecurity by, respectively, 63%, 89% and 48%. While the direct effect on income is larger for non-agricultural and contractual wage employment, the indirect income effects through self-employment are more pronounced for agricultural and casual wage employment. Our results imply that job creation is important for rural development, that wage employment in agriculture can lead to considerable growth multiplier effects, and that synergies exist between large-scale and small-scale agriculture.     

试论可再生能源技术在绿色建筑中的应用

随着我国建筑行业的不断发展,为了迎合节能、环保需求,绿色建筑开始出现。对于绿色建筑来说,要想体现出环保意识,需要在建筑中添加可再生能源,这样不仅符合当前我国绿色发展的理念,还能减少对环境的污染,可以更好地保护环境。论文针对可再生能源技术在绿色建筑中的应用展开分析。