长三角创新资源的空间错配与调整政策——基于次级和县级区域的实证研究

依据对长江三角洲次级和县级区域资源配置现状的实证研究发现：一是长江三角洲区域在经历高速重化工业化的同时，开始跨入了内生增长模式的门槛，人力资本的贡献日益显现；二是越来越多的次级区域工业生产能力和技术创新能力正在超越北京、上海以及省会城市，由此国家的科技资源和高等教育资源也应当流向这些区域，使产业、科技、教育资源能够融合在同一个空间，以大大提高整个国家技术创新投入的收益；三是转变经济发展方式和实施创新型国家建设战略的真正落脚点是支持和推动更多的次级和县级区域建立高等教育体系，创造更多的人力资本，开展更多的技术创新活动，使更多的区域采取基于技术进步的增长战略。充足的证据表明，现在到了需要采取一个重视创新资源效率的区域增长战略的时候了。     

空间相互作用与城市经济增长--来自长三角的证据

基于以往研究对空间相互作用方向性考虑不足的事实，文章以长三角133个县市为例，构建了融合新经济地理学与中心地理论的理论框架，将表征空间需求关联的总体市场潜能细分为来自同层级、高等级、低等级三个方向，利用空间计量模型估计了总体及不同方向的空间相互作用对长三角地区人均GDP增长与人口增长的效应。结果显示：在控制空间依赖导致的间接溢出效应等因素后，并未发现存在要素价格绝对调整或要素数量绝对调整的证据，总体市场潜能的提高同时促进了城市人均GDP增长与人口增长；就不同方向的空间相互作用而言，大城市的自身发展有利于中等城市的人均GDP增长，大城市之间、大城市对下级城市、小城市对上级城市形成了人口增长的良性互动格局，而中等城市之间以及中等城市对大城市的人口增长则表现为回流效应。     

A general central limit theorem and a subsampling variance estimator for α‐mixing point processes

We establish a central limit theorem for multivariate summary statistics of nonstationary α‐mixing spatial point processes and a subsampling estimator of the covariance matrix of such statistics. The central limit theorem is crucial for establishing asymptotic properties of estimators in statistics for spatial point processes. The covariance matrix subsampling estimator is flexible and model free. It is needed, for example, to construct confidence intervals and ellipsoids based on asymptotic normality of estimators. We also provide a simulation study investigating an application of our results to estimating functions.     

Can the minimum living standard guarantee scheme enable the poor to escape the poverty trap in rural China?

The rural Minimum Living Standard Guarantee (Dibao) Scheme is the most important social assistance programme in rural China. However, how the rural Dibao programme affects household expenditures and whether it can enable the poor to escape the poverty trap are questions that remain largely unexplored. This study used data from the 2012 Rural Household Survey in China to investigate the impact of the rural Dibao programme on household expenditures. We found that the programme significantly improved the well‐being of low‐income households. Particularly, the programme significantly increased household expenditures on housing, education and health; furthermore, the impact was greater for households with educated household heads. However, the programme did not significantly affect household expenditures on food, transportation or farming inputs. The results imply that participation in the rural Dibao programme induces household investment in human capital, which could help to break the inter‐generational transmission of poverty and raise long‐run welfare.     

Spatially Balanced Sampling of Continuous Populations

When sampling from a continuous population (or distribution), we often want a rather small sample due to some cost attached to processing the sample or to collecting information in the field. Moreover, a probability sample that allows for design‐based statistical inference is often desired. Given these requirements, we want to reduce the sampling variance of the Horvitz–Thompson estimator as much as possible. To achieve this, we introduce different approaches to using the local pivotal method for selecting well‐spread samples from multidimensional continuous populations. The results of a simulation study clearly indicate that we succeed in selecting spatially balanced samples and improve the efficiency of the Horvitz–Thompson estimator.     

我国亲告罪追诉模式之困境及其重构——以网络诽谤案件的证据收集问题为切入点

网络诽谤犯罪属于《刑法》规定的亲告罪类型，此类案件中被害人的证据收集能力受到较大制约，导致其面临“自诉困境”。对此问题，不论是亲告罪的选择性公诉化，还是公权力适当介入证据收集过程的处理路径均存在不足。《刑法修正案(九)》针对网络侮辱、诽谤犯罪的证据收集问题作出新规定，但是无法扩张适用于所有亲告罪类型。亲告罪的自诉困境凸显出我国对亲告罪确立的单纯自诉制追诉模式存在显著缺陷：不利于对被害人的平等保护，以及混淆告诉权和举证责任。重构亲告罪追诉模式的前提是对刑事法中的“告诉”进行重新解释，使其本质回归为诉讼条件，与证明责任“解绑”。在模式选择上，应确立混合告诉制的追诉模式，被害人提起告诉后，可以自主选择适用自诉程序还是公诉程序。     

自驾偏好、居民异质与居住选址——基于单中心城市模型的空间均衡分析

基于线性单中心城市模型，研究了自驾偏好和居民拥有车辆异质性对双方式交通走廊沿线居民出行方式选择和居住区位选址均衡的影响.将有车居民对自驾出行的偏好集成到直接效用函数中，建立了空间均衡模型.分析发现，当城市居民全部自驾出行时，租金-距离可能呈现先提高后降低的趋势.考虑只有部分居民拥有自驾车辆的一般情形，推导出了有车和无车居民在城市走廊沿线居住分布的不同均衡模式.通过理论解析，进一步考察了小汽车保有量和城市居民数量的变化对城市空间结构和居民效用水平的影响.     

Reframing Resilience: Equitable Access to Essential Services

We urgently need to put the concept of resilience into practice if we are to prepare our communities for climate change and exacerbated natural hazards. Yet, despite the extensive discussion surrounding community resilience, operationalizing the concept remains challenging. The dominant approaches for assessing resilience focus on either evaluating community characteristics or infrastructure functionality. While both remain useful, they have several limitations to their ability to provide actionable insight. More importantly, the current conceptualizations do not consider essential services or how access is impaired by hazards. We argue that people need access to services such as food, education, health care, and cultural amenities, in addition to water, power, sanitation, and communications, to get back some semblance of normal life. Providing equitable access to these types of services and quickly restoring that access following a disruption are paramount to community resilience. We propose a new conceptualization of community resilience that is based on access to essential services. This reframing of resilience facilitates a new measure of resilience that is spatially explicit and operational. Using two illustrative examples from the impacts of Hurricanes Florence and Michael, we demonstrate how decisionmakers and planners can use this framework to visualize the effect of a hazard and quantify resilience-enhancing interventions. This “equitable access to essentials” approach to community resilience integrates with spatial planning, and will enable communities not only to “bounce back” from a disruption, but to “bound forward” and improve the resilience and quality of life for all residents.     

属性集容量确定的夹挤式测度模式及其推算模型

迄今，为解决多属性偏好关联决策属性集容量判断指数复杂性难题所提出的λ模糊测度模式与k-可加模糊测度模式，以及建构在它们之上的属性集容量确定的推算模型，尚存在着适用性差的技术不足。为此，以平衡容量判断的可操作性和容量推算的准确性为视角，提出了一种新容量测度模式，即关于容量判断与推算的夹挤式测度模式，并在此基础上通过引入决策者较易判断给出的容量序信息构建了相应的容量推算模型。基于数值模拟的对比分析表明：新模式不仅在应用可行性上高于k-可加模糊测度模式，而且从容量推算的准确性上看也明显优于λ模糊测度模式和k-可加模糊测度模式，因而对实际决策具有更强的适用性。