Impact of foreign direct investment on greenhouse gas emissions in agriculture of developing countries

This research analyses the impact of foreign direct investment on greenhouse gas emissions in the agriculture sector of developing countries. Panel data from 63 developing countries for the period 2005 to 2014 was used to estimate a dynamic econometric model by applying a system‐generalised method of moments. The empirical results indicate a positive impact of foreign direct investment in agriculture on the carbon dioxide equivalent emission intensity in developing countries. The results provide weak support for the pollution havens hypothesis and imply the importance of coordination between foreign direct investment and environmental policies.     

基于新知识生产函数的青海高新技术企业创新驱动力研究

基于新经济增长模型,通过岭回归实证检验,分析了青海省高新技术企业创新产出的影响因素。实证结果显示企业内部研发投入和人力资本对创新产出有积极作用,集聚知识溢出水平对创新产出的贡献较大,政府支持力度对创新产出的作用不稳定。最后,结合高新技术企业调研现状和实证结果提出了高新技术企业提高创新产出的对策建议。     

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.     

乌鲁木齐土地利用碳排放强度时空演变研究

[目的]土地利用二氧化碳排放强度是土地低碳利用的重要指标,对其时空调控是协同促进城市二氧化碳排放总量达峰的重要路径。[方法]文章研究基于乌鲁木齐市2005年和2012年1km高空间分辨率排放网格数据(CHRED)和土地利用矢量数据,采用GIS空间分析法,探讨乌鲁木齐市7个城区土地利用二氧化碳排放强度的时空演变特征。[结果](1)从时间上看,乌鲁木齐市7个城区的土地利用变化整体表现为"5增2减"的现象;二氧化碳排放总量从3 431.49万t上升到5 147.96万t,其中以城镇村及工矿用地二氧化碳排放增长最大,由2005年的2 885.15万t增加到2012年的4 139.15万t。(2)从空间上来看,城市向北部和东南部扩展明显,未利用地和耕地迅速减少,城市扩展区的二氧化碳排放量有明显增加;中心城区和城市扩展区二氧化碳排放强度上升最快。(3)从土地利用转移上看,土地利用结构的变化明显,整体呈现草地、耕地和未利用地向城镇村及工矿用地、交通用地、园林地和水域等类型转移。草地、耕地和未利用地向城镇村及工矿用地转移导致的碳排放强度增长最显著,均超过700万t/万hm~2。[结论]绿洲城市不同的土地利用类型二氧化碳排放强度时空差异较为显著,其中城镇村及工矿用地扩张是导致二氧化碳排放增长的主要原因之一。因此,合理控制绿洲城市扩张规模,优化城市用地布局,建立土地利用二氧化碳排放强度核算体系与综合调控政策,将是促进低碳城市建设的重要路径。     

Cox Point Processes: Why One Realisation Is Not Enough

We review a rich class of point process models, Cox point processes, and illustrate the necessity of more than one observation (point patterns) in performing parameter estimation. Furthermore, we introduce a new Cox point process model by treating the intensity function of the underlying Poisson point process as a random mixture of normal components. The behaviour and performance of the new model are compared with those of popular Cox point process models. The new model is exemplified with an application that involves a single point pattern corresponding to earthquake events in California, USA.     

How Collective Engagement Creates Competitive Advantage for Organizations: A Business-Level Model of Shared Vision,Competitive Intensity,and Service Performance

We argue that collective engagement can serve as a unique value-creation capacity at the business level by linking shared vision and service performance. We also propose that competitive intensity will be a market indicator by which management can enhance the effect of shared vision on collective engagement, and indirectly strengthen service performance (through collective engagement). Furthermore, we argue that this distinctive value-creation capability, embedded in collective engagement, generates competitive advantage; specifically, one that competing organizations will struggle to replicate. We examine our moderated-mediation model by using a three-time-point method derived from five different sources in 198 retail-service branches. Our findings indicate that collective engagement, fueled by shared organizational vision, improves service performance. Furthermore, as this conditional indirect effect of shared vision on service quality and customer satisfaction was solely generated through collective engagement rather than other mechanisms (i.e., commitment and involvement), it creates a competitive advantage for engagement-oriented organizations.     

How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis

China's transport sector has been attracting great attention for its excessive energy consumption and ever-increasing pollution emissions. Thus, reducing energy intensity is one of the top priorities of China's ongoing transport upgrade. In this paper, by establishing a panel data regression model derived from the Cobb–Douglas cost function, we focus on investigating the impacts of energy price and transport productivity on transport energy intensity at the national and regional levels. The study uses the provincial panel data for 2005–2016 to perform regression analysis. The results show that: (1) energy price has a significantly negative effect on transport energy intensity in the whole China and the eastern region, whereas it has no significant impacts in the central and western China. (2) Improvements in transport productivity can effectively decrease transport energy intensity in the whole China and the three major regions. (3) Applying an extended data envelopment analysis (DEA) approach, we decompose transport productivity into four components (i.e., technical change, technology gap change, scale efficiency change, and pure efficiency change) and further differentiate their impacts in different regions. The results indicate that these four components have substantially different impacts in each region. These results provide some valuable insights for policymakers and enterprise entities aiming to adopt measures to reduce energy intensity and achieve sustainable development in China's transport sector.     

国家审计能促进国有企业全要素生产率增长吗?

如何促进国有企业治理改善，实现高质量发展，是当前国有企业审计亟须解决的问题。基于2010—2018年审计署公布的中央企业财务收支审计结果公告，采用双重差分模型实证检验国家审计对中央企业控股上市公司全要素生产率的影响及其作用机理。研究发现，国家审计能提高中央企业控股上市公司全要素生产率，主要体现在被审计当年及之后两年，通过扩大国家审计监督内容覆盖广度、拓展国家审计目标深度和加强国家审计权限行使力度实现。进一步发现，国家审计能通过促进中央企业控股上市公司增加研发投入、提高内部控制质量、抑制高管超额在职消费、缓解第一类代理问题等改善公司治理水平，提高全要素生产率。这对优化国有企业审计治理机制，提高全要素生产率，助推经济高质量发展具有启示意义。     

旅游产业与农村可持续生计耦合的空间格局及驱动机制——以张家界为例

通过构建乡村旅游与农村可持续生计系统指标体系,运用变异系数和耦合协调度模型对2005—2018年张家界乡村旅游与农村可持续生计的耦合度和协调度进行测算,分析耦合协调度的空间格局,并运用地理探测器方法对其驱动机制进行分析。研究表明:①2005—2018年耦合协调度保持连续上升的趋势;②乡村旅游发展初期呈现东部高西部低的分布格局,中期呈现东南部滞后于西部的分布格局,但最终张家界整个区县达到优质协调;③耦合协调度空间分异的主要影响因素有人均GDP、旅游收入占GDP比重、农业机械化水平和人均财政收入等,且具有明显的时间异质性特征。     

基于MOA理论消费者绿色农产品溢价支付意愿驱动路径分析——以大米为例

[目的]随着我国人民生活水平的提高,绿色农产品愈发得到消费者的青睐。文章旨在探析消费者绿色农产品意愿溢价水平及其溢价支付意愿的驱动路径,以期为绿色农产品产业的发展提供相应政策启示。[方法]基于MOA理论分析框架,利用结构方程模型和消费者调查数据,该文以主粮大米为例展开分析。[结果]以普通大米5元/kg为基准价格,消费者绿色大米平均意愿溢价水平为125.7%,意愿溢价水平从高到低排序依次是东部地区(145.2%)、中部地区(140.09%)、西部地区(91.82%)。[结论](1)利己动机、利他动机、创新性能力、信息获取能力能够直接作用于消费者绿色农产品溢价支付意愿,而消费机会通过利己动机、利他动机和信息获取能力间接作用于溢价支付意愿;(2)基于多群组结构方程,研究发现个人可支配收入和文化程度能够调节消费者创新性能力、信息获取能力对消费者绿色农产品溢价支付意愿影响;(3)消费者创新性能力和信息获取能力对溢价支付意愿的影响存在地域差异性。