江西省休闲农业示范点空间分布特征研究

[目的]深入分析江西省休闲农业示范点空间分布特征,进而可以提出促进区域休闲农业提升发展的对策建议。[方法]选取2010—2016年江西省国家级和省级休闲农业示范点作为数据,基于最邻近点指数、核密度估计法、不均衡指数和数量类型评价的方法,研究江西省休闲农业示范点的空间分布、类型构成与发展水平。[结果]江西休闲农业示范点空间上呈现聚集型分布特点,主要分布于中心城市、大型景区周边和交通干线沿线,以休闲农园、观光农园和生态农园等类型为主,存在空间分布不均衡、类型结构不合理等问题。[结论]以区域中心城市为中心,建设五大主题功能片区,优化多层级交通游线组织,加强城市、景区与农业资源丰富、生态环境优越区域的交通联系,并充分发挥休闲农业示范点的辐射带动作用,大力扶持培育休闲农业新业态,可以促进区域休闲农业的全面均衡发展。     

粮食与经济重心迁移路径及空间耦合关系分析*——以湖北省粮食主产县为例

[目的]我国的粮食安全问题一直备受关注,作为粮食安全重要保障的粮食主产区近年来却面临着粮食生产与经济发展协调性、可持续性下降的困扰。文章以湖北省46个粮食主产县为研究区,对其粮食生产与经济发展的耦合协调状况进行研究,以期为地方政府粮食安全政策制定提供参考。[方法]以研究区粮食产量、地区生产总值、行政区划图层为数据源,构建重心模型和空间耦合模型,对粮食主产县2006—2015年间粮食重心和经济重心迁移路径、粮食生产与经济发展耦合协调状况进行分析。[结果](1)研究期间粮食主产县的粮食重心和经济重心整体上皆向西北方向转移,经济重心始终位于粮食重心东南部,经济重心的移动幅度大于粮食重心,但经济重心的移动方向更稳定。研究区北部的粮食生产地位高于南部,南部的经济地位则高于北部,粮食生产的稳定性相对低于经济发展。(2)两重心整体上虽均向西北方向转移,但具体移动方向存在较大差异,两者空间重叠性整体下降,变动一致性减弱,空间耦合性变差。(3)粮食生产与经济发展空间一致性地域分异特征明显,相较于2006年,2015年粮食经济整体协调性进一步减弱,粮食生产与经济发展日趋分散。[结论]建立重心模型和空间耦合模型对粮食生产与经济发展耦合协调状况进行研究是有效可行的,为推动粮食生产与经济发展协调稳步发展决策提供一定的参考。     

普惠金融与县域资金外流：减贫还是致贫*——基于中国592个国家级贫困县的研究

本文利用全国592个国家级贫困县的数据，采用空间计量模型实证分析了普惠金融对县域资金外流的影响，并验证了贫困县资金外流是否会产生致贫效应。本文研究发现：如果普惠金融只注重解决贫困地区对金融机构的接触性排斥，会进一步加剧资金外流，对减贫产生负向影响，即存在显著的致贫效应。这种致贫效应具有明显的空间外溢性，邻近县域的贫困状况在很大程度上会彼此“传染”，并具有空间衰减特征的地理边界。因而需要客观认识普惠金融的本质，有针对性地选择恰当有效的实施载体，解决好对信贷产品等关键金融服务的使用性排斥问题。     

山东省耕地后备资源变化及驱动因素分析

[目的]揭示耕地后备资源变化规律及其驱动因素是进行耕地后备资源合理保护、开发利用的重要基础,但目前对于耕地后备资源变化及驱动因素的研究较为匮乏。[方法]文章以山东省为例,基于2003年和2015年两期耕地后备资源数据库,在分析耕地后备资源时空变化的基础上,采用空间回归模型分析了其变化的驱动因素。[结果]2003~2015年期间,山东省集中连片耕地后备资源减少了30.81万hm~2,其中可开垦土地减少24.97万hm~2,可复垦土地减少5.84万hm~2。[结论]总人口、文盲率、农民人均纯收入、建设用地扩张速度、第一产业产值占总产值比重等是山东省耕地后备资源变化的显著性驱动因素,并且总人口和建设用地扩张的驱动作用最大,受教育程度和产业结构调整的作用次之,农民人均纯收入变化对耕地后备资源变化的影响最小。"宏观统筹协调,异地代补"是解决"耕地后备资源空间分布不均衡、供需不匹配",实现耕地占补平衡、高效合理的开发利用耕地后备资源的必经之路。但异地代补的数量比例和质量应严格控制,并注重对补充耕地地区的经济补偿和政策倾斜,逐步缩小与发达地区之间的差距。     

Price competition in the spatial real estate market: allies or rivals?

This paper examines whether real estate firms can avoid price competition when properties in the vicinity are priced by allies. An oligopoly model with differentiated products generally suggests that real estate firms engage in price competition with their spatially closest rivals. Yet, they can raise property prices when the market share of their allies increases. To test this prediction, a spatial autoregressive model with spatial autoregressive disturbances, including a share of allies in the vicinity, is estimated using data on the prices of residential condos in central Tokyo, Japan. The model prediction is supported by the empirical results. In the data set, the magnitude of the market share on property prices increases with the expansion of the size of the spatial market.     

基于引力模型的省域创新产出空间联系研究

基于引力模型，结合社会网络分析法的凝聚子群分析，对31个省（区、市）的创新产出空间联系进行探究，研究发现：我国省域创新产出空间联系主要集中于京津冀和长三角一带，呈现出严重的分布不均状况，具有较强的区域集中性和空间依赖性；北京、天津、上海、浙江、江苏作为区域创新产出引力较强的节点省（区、市），对周边区域的创新产出具有较强的辐射作用；总体来看，省域创新产出空间联系并没有形成贯穿东西南北的交叉网状结构，中心省（区、市）数量较少且分布不均，辐射范围有限。基于此，提出加大区域创新投入、减少区域创新产出联系的政策性障碍、营造区域创新产出联系的良好环境等政策建议。     

Neighbourhood Effects in Pesticide Use: Evidence from the Rural Philippines

This study investigates how pesticide use by neighbouring farmers affects a given farmer's pesticide use. Although it is common knowledge that pesticide use has spatial externalities, few empirical economic studies explicitly analyse this issue. Applying a spatial panel econometric model to plot‐level panel data for Bohol, Philippines, this study shows that pesticide use, especially for herbicides, is spatially correlated, although there is no statistically significant spatial correlation in unobserved shocks. This implies that farmers apply pesticides by referring to the behaviour of neighbouring farmers rather than responding directly to the intensity of their own infestation.     

京津冀雾霾污染与产业结构、城镇化水平的空间效应研究

京津冀地区是全国雾霾污染的重灾区。本文分析了京津冀地区13个城市的雾霾污染空间相关性，发现其具有显著的空间溢出效应，呈现出“高—高”型集聚和“低—低”型集聚的特征。基于京津冀地区13个城市2000—2012年的面板数据，使用三种类型空间权重矩阵构建空间杜宾模型发现：京津冀雾霾污染与产业结构、城镇化水平显著相关；产业结构与其呈“倒U型”曲线，目前产业结构和城镇化水平对自身及其邻近地区的雾霾污染具有明显的加重作用；城镇化水平对邻近地区雾霾污染具有双向效应。产业结构调整优化和城镇化水平质量的提高会缓解京津冀雾霾污染，实际人均GDP、对外贸易依存度、FDI、人口密度等也会对京津冀地区及其周边地区的雾霾污染产生影响。     

Spatial statistical modelling of insurance risk: a spatial epidemiological approach to car insurance

Spatial models, such as the Besag, York and Mollie (BYM) model, have long been used in epidemiology and disease mapping. A common research question in these subjects is modelling the number of disease events per region; here the BYM models provides a holistic framework for both covariates and dependencies between regions. We use these tools to assess the relative insurance risk associated with the policyholders geographical location. A Bayesian modelling approach is presented and an elastic net is used to reduce the large number of possible geographic covariates. The final inference is performed using Integrated Nested Laplace Approximation. The model is applied to car insurance data from If P&C Insurance together with spatially referenced covariate data of high resolution, provided by Insightone. The entire analysis is performed using freely available R-packages. Including spatial dependence when modelling the number of claims significantly improves on the result obtained using ordinary generalised linear models. However, the support for adding a spatial component to the model for claims cost is weaker.     

State‐Led Financial Regulation and Representations of Spatial Fixity: The Example of the Spanish Real Estate Sector

This article offers a bottom‐up contribution to the fixity–motion literature. It aims to unravel the apparent contradiction of real estate spatial fixity in Spain, which is portrayed both as a barrier to accumulation and as a unique source of investment by different capitalist actors. Empirically, it describes the shifts in real estate ownership and changes in profit‐making strategies that have taken place across the real estate sector during the crisis years, and the role of the state in these shifts. The article asserts that the idea of spatial fixity representing a spatial barrier for accumulation does not necessarily apply in the Spanish case. It further claims that the tensions in capital circulation through real estate are not only to be found in the action of time, but in different state strategies pursued by various actors. The opposing representations of fixity are the result of state regulation of interest rates, taxation and risk weighting. The state also increasingly promotes land rents as a source of liquidity creation.