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。     

土地整治对中国粮食产出稳定性的贡献

研究目的:研究土地整治对粮食产出稳定性的贡献,为制定合理高效的土地整治政策,促进粮食增产稳产提供依据。研究方法:采用H-P滤波法实证分析中国粮食产量的波动性及增长趋势,然后基于C-D生产函数,分别建立趋势产量和波动强度面板回归模型,分析土地整治对粮食产出稳定性的影响。研究结果:(1)粮食作物播种面积、农业机械总动力、农用化肥施用量均对粮食长期趋势产生不同程度促进作用;农业劳动力对主产区粮食长期趋势影响显著为负,对非主产区却有正向影响。(2)土地整治面积和单位面积投资额均降低了全国及主产区粮食产量的波动程度,土地整治规模在全国和主产区的影响系数分别为-1.4162和-2.2215;单位土地整治面积投资额在全国和主产区的影响系数分别为-0.7589和-1.3509。(3)土地整治新增耕地面积对全国和主产区的粮食产量波动强度影响为正,影响系数分别为0.8018和1.3931。可能是通过土地整治新增的耕地质量较低,产出不高,导致了粮食产量波动。土地整治投入在非主产区均表现为不显著。研究结论:应继续推进尤其是主产区的土地整治项目实施,加大土地整治投资强度,建立长期稳定的投入机制,合理使用整治资金,注重提高新增耕地质量和综合生产能力,同时将土地整治投入和管理机制与农业生产系统运行机制、自然因素等有效结合,并制定差别化区域政策,以保障粮食增产稳产和区域协调发展。     

Drivers and barriers to cross-border e-commerce: Evidence from Spanish individual behavior

This paper explores the determinants of the individual's decision to perform cross-border e-commerce (CBeC). The European Union (EU) is especially interested in the promotion of CBeC because it is an important tool in its strategy to achieve the Digital Single Market in Europe. In this paper official data is used from a representative survey of 16,209 individuals on ICT usage by households and individuals that was carried out in Spain by the National Institute of Statistics (INE) for the year 2016. Using a standard neoclassical utility maximization framework, and logistic regression techniques, the results show that being a male is positively related to the probability of practicing CBeC. Education is positively and significantly related to the probability of being involved in CBeC with EU countries. Computer and Internet Skills are significant and positive factors in explaining CBeC (either with EU countries or with the rest of the world). The variable “how often the consumer sees other customer reviews before buying online”, has a positive effect. Foreign nationality also increases the likelihood of using CBeC. To promote CBeC in Spain measures towards developing digital skills, Internet trust and use of online information reviews of goods and services are discussed.     

A hybrid information approach to predict corporate credit risk

This study proposes a hybrid information approach to predict corporate credit risk. In contrast to the previous literature that debates which credit risk model is the best, we pool information from a diverse set of structural and reduced‐form models to produce a model combination based on credit risk prediction. Compared with each single model, the pooled strategies yield consistently lower average risk prediction errors over time. We also find that while the reduced‐form models contribute more in the pooled strategies for speculative‐grade names and longer maturities, the structural models have higher weights for shorter maturities and investment grade names.     

Data-based mechanistic modelling and forecasting globally averaged surface temperature

The main objective of this paper it to model the dynamic relationship between global averaged measures of Total Radiative Forcing (RTF) and surface temperature, measured by the Global Temperature Anomaly (GTA), and then use this model to forecast the GTA. The analysis utilizes the Data-Based Mechanistic (DBM) approach to the modelling and forecasting where, in this application, the unobserved component model includes a novel hybrid Box-Jenkins stochastic model in which the relationship between RTF and GTA is based on a continuous time transfer function (differential equation) model. This model then provides the basis for short term, inter-annual to decadal, forecasting of the GTA, using a transfer function form of the Kalman Filter, which produces a good prediction of the ‘pause’ or ‘levelling’ in the temperature rise over the period 2000 to 2011. This derives in part from the effects of a quasi-periodic component that is modelled and forecast by a Dynamic Harmonic Regression (DHR) relationship and is shown to be correlated with the Atlantic Multidecadal Oscillation (AMO) index.     

湖南省农业生态与农业经济耦合性测度

[目的]考察湖南省近9年来农业生态与农业经济系统耦合发展现状,探究二者发展过程中的规律,以期找出二者协调发展模式,并为湖南省农业生态环境保护、农业经济发展提供决策依据。[方法]运用耦合协调度模型,基于熵权法为各指标进行客观确定权重,结合2007~2015年湖南省农业生态与农业经济发展的相关数据,确定农业生态与农业经济的耦合匹配分析模型,采用熵值赋权法确定各项指标的权重,构建农业生态—农业经济耦合协调评价指标体系。[结果]研究结果表明,2007~2015年湖南省农业生态与农业经济的耦合协调发展基本稳定,耦合度值均在0.9以上,二者呈协调发展趋势。其中,2014年和2015年二者的耦合度较高,分别为0.975 3和0.984 3,说明湖南省在这两年的农业生态与农业经济的协调性好,农业经济与农业生态能够相互有效促进彼此的发展。同时,仍需时刻关注生态环境的承载力,降低对自然资源的无序攫取,实现经济的可持续发展。     

我国农村产业融合发展的效率评价

[目的]为了进一步提升农村产业融合发展效率,提升农业质量效益和竞争力、增强农村发展活力、促进农民持续增收,[方法]文章根据我国农村产业融合发展的投入产出指标数据,利用DEA方法对我国31个省(自治区、直辖市)农村产业融合效率进行了科学的分析与测算,[结果]研究表明,我国农村产业融发展的总体效率偏低。从综合效率看,仅有天津等7个省(自治区、直辖市)的综合效率值高于0. 5;从纯技术效率看,仅有江苏等8个省(自治区、直辖市)的纯技术效率高于0. 5;从规模效率看,西藏、甘肃、青海3个省(自治区)的规模效率低于0. 5。提升农村产业融合发展效率仍有较大的空间。[结论]应从进一步加大对农村产业融合发展的资金投入力度、着力优化农村产业融合发展的资金投入结构、建立农村产业融合发展效率考评制度等方面提升农村产业融合发展效率,促进农村产业融合快速发展。     

A nowcasting model for Ecuador: Implementing a time-varying mean output growth

We propose a model to nowcast the annual growth rate of real GDP for Ecuador, whose economy lacks timely macroeconomic information for some key variables and has gone through unstable periods due to its dependence on oil exports. Our specification combines monthly information for 30 macroeconomic and financial variables with quarterly information for real GDP in a mixed-frequency approach. Our setup includes a time-varying coefficient on the mean annual growth rate of output to allow the model to incorporate prolonged periods of low or high growth. The model produces more accurate nowcasts of real output growth in pseudo out-of-sample exercises than a nowcasting model that assumes a constant mean real GDP growth rate. We also conduct sensitivity analyses on our nowcasting model within the time-varying mean setup and find that including financial variables can be detrimental to the performance of the proposed model.     

The cointegrated vector autoregressive model with general deterministic terms

In the cointegrated vector autoregression (CVAR) literature, deterministic terms have until now been analyzed on a case-by-case, or as-needed basis. We give a comprehensive unified treatment of deterministic terms in the additive model $X_t=\gamma Z_t+Y_t$, where $Z_t$ belongs to a large class of deterministic regressors and $Y_t$ is a zero-mean CVAR. We suggest an extended model that can be estimated by reduced rank regression, and give a condition for when the additive and extended models are asymptotically equivalent, as well as an algorithm for deriving the additive model parameters from the extended model parameters. We derive asymptotic properties of the maximum likelihood estimators and discuss tests for rank and tests on the deterministic terms. In particular, we give conditions under which the estimators are asymptotically (mixed) Gaussian, such that associated tests are ${\chi }^2$-distributed.     

Does e-government performance actually boost citizen use? Evidence from European countries

For many years, it was believed that higher-performing e-government features would boost citizen use of e-services. However, this straightforward proposition had never been tested. Using a survey of over 28,000 citizens across 32 European countries, we examined the effect of e-government performance on citizen use. Theoretically, a better-designed and maintained government website should be used more, but it was reject by multilevel model estimates. We found that performance was negatively related to citizen use of e-information and e-services, while e-participation use was insignificant. The implications of our findings on future efforts to increase the uptake of e-government are also discussed.