乡村振兴战略下要素国际流动的环境效果

乡村振兴战略和环境保护是当前经济工作中的重点。伴随经济全球化和“一带一路”战略的不断深入,生产要素国际流动日趋频繁。乡村振兴是国家重要发展战略,其重要抓手是实现农业现代化。因此,在小农户与现代农业共存的经济背景下,分析要素国际流动的环境效果,并根据现代农业发展的不同特征,对乡村振兴战略实施初始阶段和全面实施阶段分别进行分析后发现:在战略实施初始阶段,劳动流入加剧污染,反之改善环境;在战略全面实施阶段,资本流入改善环境,反之恶化环境。     

What caused the rise of Airbnb? An examination of key macroeconomic factors

The social and economic implications of the Airbnb phenomenon have been the subject of much research. Yet, the academic literature on Airbnb is nascent. Specifically, the issue of whether major macroeconomic conditions affect the supply of Airbnb has not been investigated. To address this gap, we propose a conceptual model that explains the determinants of Airbnb supply and examine the extent to which major macroeconomic factors affect the supply of Airbnb. Specifically, we analyze the effects of hotel room rates (ADR), hotel demand, tourism demand, house prices, gross domestic product (GDP), wages and unemployment on the supply of Airbnb in 50 U.S. states. Results show that increases in hotel ADR, house prices, and GDP have contributed to an increase in the supply of Airbnb, whereas increases in unemployment rates and wages have adverse effects on Airbnb supply. Theoretical and policy implications are discussed within realms of macroeconomic theory.     

Antecedents of Green Loyalty in the Cruise Industry: Sustainable Development and Environmental Management

As there is a lack of understanding about cruise travelers' eco‐friendly behaviors and knowledge about eco‐friendly cruises, this study attempted to examine the role of green value, satisfaction, desire, and internal and external normative factors in building passengers' green loyalty for environmentally responsible cruises. A survey methodology and structural equation modeling were utilized to achieve the research purpose. Data quality assessment revealed that all measures for variables included an adequate level of reliability and validity. Results of the structural analysis indicated that our theoretical framework had a sufficient level of anticipation power for loyalty. The proposed associations among study variables were generally supported. The significant indirect influence of green values and social norms on loyalty was identified. Moreover, the magnitude of the total influence of social norms on loyalty was the greatest among the study constructs. Overall, our findings offer valuable and meaningful insights for cruise researchers and practitioners. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Oil price shocks and economic growth: The volatility link

This paper shows that oil shocks impact economic growth primarily through the conditional variance of growth. Our comparison of models focuses on density forecasts. Over a range of dynamic models, oil shock measures and data, we find a robust link between oil shocks and the volatility of economic growth. We then develop a new measure of oil shocks and show that it is superior to existing measures; it indicates that the conditional variance of growth increases in response to an indicator of the local maximum oil price exceedance. The empirical results uncover a large pronounced asymmetric response of the growth volatility to oil price changes. The uncertainty about future growth is considerably lower than with a benchmark AR(1) model when no oil shocks are present.     

Forecasting using heterogeneous panels with cross-sectional dependence

In this paper, we focus on forecasting methods that use heterogeneous panels in the presence of cross-sectional dependence in terms of both spatial error dependence and common factors. We propose two main approaches to estimating the factor structure: a residuals-based approach, and an approach that uses a panel of auxiliary variables to extract the factors. Small sample properties of the proposed methods are investigated through Monte Carlo simulations and applied to predict house price inflation in OECD countries.     

Disentangling the drivers of renewable energy investments: The role of behavioral factors

The scope of this study is to investigate the main determinants of renewable energy investments in Greece. For this reason, we build an appropriate framework to infer the decision‐making process in the renewable energy sources (RES). The main drivers are then categorized under two groups as economic, and behavioral ones. In the next stage, we rely on binomial (logit and probit) and quantile regression analysis to estimate the impact of these factors on investment decisions towards RES. Our findings indicate that investors who gain better access to knowledge and exhibit a more positive attitude towards the contribution of artificial intelligence (AI) on the RES industry have a higher share of renewables in their portfolio. We argue that these investors are willing to invest a higher amount in the RES industry today. At the same time, quantile regression models illustrate that this relationship is nonmonotonic (i.e., inverted U shaped curve), arguing that positive attitudes towards the contribution of behavioral factors on RES are not adequate to encourage investments after crossing a certain point (threshold). Based on the empirical findings, we argue that the message to policymakers and government officials is to promote a faster penetration of low carbon technologies to achieve sustainable economic and social growth.     

行车舒适性评价方法综述

由于行车舒适性影响因素较多,研究方法主要包含主观评价法与客观评价法,目前还没有比较完整的体系来对行车舒适性进行评价。文章将主要的行车舒适性评价方法进行汇总整理,将主要的评价方法分为两类,一类是从人与车的方面阐述行车舒适性评价方法;另一类是从车与路的方面阐述行车舒适性评价方法。现如今行车舒适性评价方法主要使用第一类方法,但随着智能交通的不断发展,人、车、路已经成为不可分割的整体,多种评价方法共用已经成为了一种趋势。     

高新技术企业盈利水平分析——以恒生电子股份有限公司为例

论文以恒生电子的盈利数据为例进行分析,以期为高新技术企业提升盈利水平提供有价值的参考。论文分析了影响高新技术企业盈利水平的三大因素,从研发费用、科技金融、股票价值三个角度展开阐述,同时,针对高新技术企业的长久盈利和发展,从财务管理和企业创新文化两个方面提出了相关建议。     

我国省域农业隐含碳排放及其驱动因素时空动态分析

[目的]我国区域农业发展模式由于气候、环境的不同存在较大的差异,而目前针对农业隐含碳的时空动态研究较为缺乏,导致对于区域减排目标的设定缺乏全面的考虑,无法实现农业碳减排的效率性和公平性。因此,有必要分析农业隐含碳排放在不同省域的特征并分析其驱动因素,为制定体现地区间公平性且有效率的碳减排政策提供依据。[方法]文章利用2002年、2007年和2012年3年的投入产出表估算我国各省(市、区)农业隐含碳排放量,根据Kaya恒等关系将其分解为经济规模、经济结构、一般农业技术进步和低碳农业技术进步4类影响因素,并利用LMDI分解分析法对这4类影响因素的驱动力进行了分析。[结果]2002—2012年我国大部分地区农业隐含碳排放量呈上升趋势,空间上呈现从西到东、从南到北逐渐增加的分布规律,经济规模效应在各省份均呈正向驱动,且在经济发展较为迅速、经济增长后劲较强的地区驱动效应逐渐增强;经济结构效应在大部分省份呈负向驱动,且在重型工业的聚集区域负向效应逐渐增强;一般农业技术因素正向驱动区域逐渐扩散,且在农业大省正向驱动效应逐渐增强;低碳农业技术进步因素在东部发达地区负向的驱动效应较强,在西部驱动效应较弱。[结论]在未来的农业减排政策制定过程中,需要充分考虑不同地区的经济发展、产业结构、农业生产等特点。     

小麦面筋含量测定影响因素分析

面筋含量是影响小麦和小麦粉品质的重要因素,面筋吸水率是小麦储存品质的重要指标。本文对小麦面筋含量测定中的关键步骤和重点环节进行了分析,探讨不同因素对试验结果造成的影响及应注意的事项,以期为各基层试验人员提供借鉴,为未来标准的修订提供参考。