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。     

How markets will drive the transition to a low carbon economy

This paper investigates the driving factors behind the transition to a low carbon economy. Here, we offer a two-part analysis: First, we examine the factors leading to the current level of cleantech development. To do so, we examine the impact of country-level economic variables (real GDP, market return, and turnover) and country-level institutional variables on patent intensity. Results from this analysis show that cleantech patenting activity is fostered by a supportive institutional environment that promotes innovation and low-carbon development through carbon pricing policies, country-level public R&D expenditure and human capital. Second, we extend the notion of ‘path creation’ to map out different pathways for cleantech development on a country-level within a real options framework, and offer a corresponding valuation of cleantech patents. Our estimates of total wealth creation through the development of cleantech patents by 2050 range from US$10.16 to US$15.49 trillion dollars (13%–20% of the world GDP in 2017) with investment growth from US$2.93 to US$3.71 trillion (3.7%–4.7% of the world GDP in 2017). The results from our analysis suggest that market forces will drive the transition to a cleantech economy.     

Move fast,travel slow: the influence of high-speed rail on tourism in Taiwan

High-speed rail (HSR) and tourism are closely related economic activities because improved mobility is perceived to facilitate tourist behavioral changes. This study examines the influence of HSR on the travel patterns of individual tourists in Taiwan in relation to time, space and carbon emissions. A framework is first provided to discuss how changes in the speed of intercity transportation will affect visitors’ choice of the journey, behavior at destinations and trip quality. In addition, HSR is expected to influence five general aspects of travel decisions relating to mobility and trip emissions, including mode selection, travel distance, length of stay per trip, annual travel frequency and total travel days. In the example of Taiwan, information by onsite sampling of 400 domestic travelers found that HSR had a weak influence on travel distance and length of stay per trip, but was observed to facilitate extended time at each stop, a deeper engagement with the locality, and an approximate 10% reduction in transport carbon emissions through intermodal substitution. These phenomena are in line with the slow travel concept of sustainable tourism consumption.     

Sustainable development carbon pricing initiative and voluntary environmental disclosures quality

Although corporate environmental disclosures have been researched extensively, empirical evidence regarding the indirect impact of carbon pricing on firms' voluntary disclosures is scarce. The objective of this study is to identify the indirect impact of carbon pricing initiatives on the voluntary environmental disclosures (VEDs) of electricity generating companies, analyzed through the lens of institutional theory. This study adds to the growing literature on the determinants of VED, investigating the impact of adoption of the Global Reporting Initiative and ISO 14001 on VED. Secondary data were collected from 2015 annual reports and/or standalone sustainability reports of electricity generating companies from 53 countries around the world. Content analysis approach was adopted for measuring the extent of the quality of VED. Findings of multiple regression analysis suggest that there is an indirect institutional impact of carbon pricing on the quality of VED. This study also finds that, as the form of nongovernment guidance, the Global Reporting Initiative adoption and ISO 14001 certification also have an institutional influence on the VED. VED is also affected by company size although this study reveals no significant relationship of leverage with VED.     

中国耕地资源利用的碳排放时空特征及脱钩效应研究

研究目的:揭示中国耕地资源利用的碳排放时空分异规律及其与农业经济增长之间的脱钩关系,以期为中国耕地资源低碳化利用政策的制定和推行提供参考。研究方法:IPCC碳排系数法,TAPIO脱钩分析法。研究结果:(1)中国耕地资源利用的碳排放整体上呈现增长趋势,但2010年后增速趋于下降并于2016年开始转入负增长,省际差异不断扩大的同时区域间差异趋于缩小;(2)中国耕地资源利用的碳排放强度总体上处于下降态势,省际和区域间碳排放强度的差异总体上趋于缩小;(3)中国耕地资源利用的不同碳排放源的碳排放量及增速呈现不同的时序波动特征,同时存在明显的地域差异性,其中,化肥是最主要碳排放源;(4)中国2000—2012年耕地资源利用的碳排放与农业经济增长之间呈现以"弱脱钩"为主,但2013—2017年不同省域的脱钩类型及脱钩程度趋于差异化。研究结论:中国耕地资源利用碳排放的时空分异性显著,且与农业经济增长之间不同阶段和不同省域呈现不同脱钩类型,需突出减排重点、实施差异化策略及注重绿色发展等多途径推进耕地资源低碳化利用,提高政策的精准性。     

碳排放交易制度的节能减排路径：效率提升还是结构转型？——来自中国省级数据的准自然实验

以中国2013年以来实行的碳排放交易试点政策作为准自然实验事件，基于2000-2017年中国30个省市的面板数据，运用双重差分法实证检验碳排放交易制度的节能减排效应及影响机制。研究发现，碳排放交易制度有利于实现中国经济“节能”与“减排”的双重目标，并通过了一系列稳健性检验；作用机制检验表明，能源效率提升和能源结构转型都是碳排放交易制度实现节能减排目标的重要路径；能源效率提升在碳排放交易制度实现“节能”和“减排”中分别发挥了10.19%和5.93%的作用，而能源结构转型分别发挥了48.87%和52.95%的作用。这意味着中国碳排放交易制度实现节能减排的主要动力来自能源结构转型，而非能源效率提升。能源结构转型涉及问题更加宏观和深层，这为中国加快推进节能减排进程，特别是完成2030年碳达峰和2060年碳中和的国际承诺提供政策启示。     

基于神经网络的建筑业碳排放强度预测——以京津冀为例

通过统计分析得出影响建筑业碳排放强度的13个影响因素,基于收集的京津冀相关数据,运用逐步回归分析找出其中6个关键因素.借鉴五折交叉验证解决数据稀缺问题,采用神经网络对京津冀建筑业碳排放强度进行预测.利用敏感性分析简化模型,筛选出4个核心因素.结果表明,此模型预测精度高达99％,同时根据挖掘出的核心因素和关键因素,提出建筑业节能减排的建议.     

Mandatory disclosure,greenhouse gas emissions and the cost of equity capital: UK evidence of a U-shaped relationship

This paper examines the effects of disclosing greenhouse gas (GHG) information mandatorily on the cost of equity capital (COC) using a longitudinal unbalanced panel database of the United Kingdom's FTSE 350 firms for the period 2011–2016. We use a nonlinear panel quantile regression (PQR) model to examine the relationship between GHG disclosure (GHGD) and COC in the United Kingdom. This technique was supplemented by conducting a two-step generalised method of moment (GMM) estimation to address any concerns related to the potential existence of endogeneity problems. Our findings suggest that high-level GHGD appeared to be negatively associated with COC up to a certain level, which is known as the turning point; then, any increase in GHGD is likely to increase the COC. This means that the nonlinear association between GHGD and COC is evidenced in our study and takes a U shape. Likewise, our findings are associative of a moderating effect of the 2013 carbon disclosure regulation (CDR) on the GHGD–COC nexus. We argue that mandatory GHGD and GHG risk are linked so that those companies that are associated with higher GHG risk have a tendency to be better disclosers. Consequently, we urge regulators to design GHGD regulations in a way that mirrors corporate environmental risk and leads to a lower COC in order to align the interests of corporations with those of the society at large.     

老龄化与碳排放：消费效应还是生产效应？——基于2002-2017年中国省级面板数据的实证研究

人口老龄化是经济增长的一大阻碍,它对碳排放的影响是做出环境政策抉择的关键因素.以中国2002—2017年的省级面板数据为研究样本,从理论与实证两个层面分析人口老龄化与碳排放的关系及影响机制.一方面,构建包含碳排放的世代交叠模型(overlapping generations,OLG),发现老龄化主要通过消费效应和生产效应两个路径对碳排放产生影响;另一方面,从实证层面发现老龄化与碳排放之间存在倒"U"形关系,而且消费效应在人口老龄化与碳排放的关系中起到部分中介作用,生产效应的影响则不显著.     

环境公平感知、社会信任与农户低碳生产行为*——以农膜、秸秆处理为例

［目的］研究旨在探讨环境公平感知和社会信任与农户低碳生产行为之间的关系，为促进农户生产行为向低碳化方向转变提供对策建议。［方法］基于陕西和甘肃两省的村域调查数据，以农膜和秸秆处理为例，运用二元logistic模型探讨环境公平感知和社会信任对农户低碳生产行为的影响，并结合分层回归分析了社会信任在环境公平感知和农户低碳生产行为间的调节效应。［结果］（1）在环境公平感知维度中，人际公平感知正向影响农户的农膜和秸秆处理行为； （2）对社会信任来讲，人际信任对农户农膜和秸秆处理行为均有显著的促进作用，而制度信任仅对农户秸秆处理行为具有正向影响； （3）人际信任在种际公平感知和农户农膜处理行为之间具有显著的正向调节效应，而制度信任在两者之间具有显著的负向调节效应； 同样，人际信任在人际公平感知和农户秸秆处理行为之间具有正向调节效应，而制度信任弱化了人际公平感知对农户秸秆处理行为的影响。［结论］环境公平感知和社会信任是影响农户低碳生产行为的关键因素，且社会信任在种际公平感知和农户农膜处理行为之间以及在人际公平感知和农户秸秆处理行为之间具有显著的调节作用。