近30年来我国粮食产量波动影响因素分析

[目的]根据粮食产量波动特征,从自然因素、科技因素(物质装备)、社会经济因素和农业生产条件等方面对粮食产量的影响进行量化分析,为科学合理地制定农业政策,保障我国粮食安全提供理论依据。[方法]文章利用HP滤波法分析1978—2010年我国粮食产量波动特征,并采用灰色关联与层析分析相结合的综合评价法定量分析不同波动周期各影响因子对我国粮食产量波动的影响度。[结果](1)改革开放以来,我国粮食产量经历了完整的6个波动阶段,平均波动周期为6年;(2)除1994—2000年,各波动周期的粮食产量受科技因素的影响最大,且影响日益显著,影响度从1978—1981年的37. 0%增加到2006—2010年的48. 3%,其中,有效灌溉面积的影响增大趋势最为明显,其次是农业机械总动力,化肥施用量的影响呈减弱趋势;(3)社会经济因素对粮食产量的影响呈波动性增加的规律,2006—2010年影响度达到24. 9%;(4)农业生产条件对粮食产量的影响在20世纪80年代初期与科技因素基本持平,此后,除1994—2000年,与科技因素的影响度差距越来越大,到2000—2006年对粮食产量的影响度仅为16. 6%,其中,耕地面积的影响度下降最多,到2006—2010年,影响度仅为1. 1%;自然因素对粮食产量波动的影响最小,且较为稳定,除1985—1988年影响度达到24. 3%,其余波动周期均在8. 7%~12. 4%之间,2006—2010年影响度为10. 2%。[结论]完善农田水利灌溉体系,加强对农业机械指导的"重科技"举措比单纯增加后备耕地数量、改善应对气候变化与自然灾害能力的"靠资源"发展更为有效;加大农田水利投入,完成灌区续建配套与灌排泵站更新改造是目前最重要的发展方向。     

Unemployment or credit: Which one holds the potential? Results for a small open economy with a low degree of financialization

This paper investigates the relative importance of unemployment versus credit in determining the potential level of real activity for a small open economy with a low degree of financialization. We use a multivariate unobserved component model (MUC) to derive the potential output and the associated output gap for the Lithuanian economy. The model is estimated via Bayesian methods and the time paths of unobserved variables are extracted via the Kalman filter. The inclusion of unemployment in the MUC model substantially improves the estimates of the output gap in real time. Adding information about credit further emphasizes the overheating of the economy in the pre-crisis period, both in real time and ex post. Including credit preserves the conclusions regarding turning points. We uncover a strong negative correlation between the model-implied unemployment gap (without accounting for credit) and real credit growth. Data revisions do not appear to be the primary source of revisions of output gap estimates.     

Determining analogies based on the integration of multiple information sources

Forecasting approaches that exploit analogies require the grouping of analogous time series as the first modeling step; however, there has been limited research regarding the suitability of different segmentation approaches. We argue that an appropriate analytical segmentation stage should integrate and trade off different available information sources. In particular, it should consider the actual time series patterns, in addition to the variables that characterize the drivers behind the patterns observed. The simultaneous consideration of both information sources, without prior assumptions regarding the relative importance of each, leads to a multicriteria formulation of the segmentation stage. Here, we demonstrate the impact of such an adjustment to segmentation on the final forecasting accuracy of the cross-sectional multi-state Kalman filter. In particular, we study the relative merits of single and multicriteria segmentation stages for a simulated data set with a range of noise levels. We find that a multicriteria approach consistently achieves a more reliable recovery of the original clusters, and this feeds forward to an improved forecasting accuracy across short forecasting horizons. We then use a US data set on income tax liabilities to verify that this result generalizes to a real-world setting.     

The effect of China's open-door tourism policy on Taiwan: Promoting or suppressing tourism from other countries to Taiwan?

This study employs an extended gravity model to analyse the complementarity or competitiveness relationship of the number of inbound tourists and corresponding tourism revenue between China and 19 other nations under the implementation of China's Open-door Tourism Policy to Taiwan in 2008. A simulation for 2018–2021 demonstrates the sustained impact of this policy. The results show that the number of tourists to Taiwan from China reached its peak in 2015 at 41% and will decrease to 9% by 2021. The corresponding tourism revenue will decrease from 49% to 11% over the same period. The results also show that if the number of tourists from China remains above 836,772, the number of tourists from Japan, Hong Kong, Australasia, North America, and Europe will still increase. However, the number of tourists from South Korea and South and Southeast Asia will increase continuously regardless of tourists from China, even far below 836,772.     

Low Mortgage Rates and Securitization: A Distinct Perspective on the US Housing Boom*

In this paper, we analyse the impacts of low interest rates and lax underwriting standards on the US housing boom around the beginning of the new millennium. We suggest a time-varying mean of the log price-to-rent ratio (PtR) to capture the persistent changes in housing prices. We show that the increasing latent trend in the PtR was significantly affected by the increased securitization of residential mortgage loans and decreasing interest rates, with the former effect being about three times larger than the latter. In the absence of securitization, negative interest rates would have been needed to reproduce an equally large housing boom since 2003.     

Forecasting bulk prices of Bordeaux wines using leading indicators

Agricultural price forecasting has been being abandoned progressively by researchers ever since the development of large-scale agricultural futures markets. However, as with many other agricultural goods, there is no futures market for wine. This paper draws on the agricultural prices forecasting literature to develop a forecasting model for bulk wine prices. The price data include annual and monthly series for various wine types that are produced in the Bordeaux region. The predictors include several leading economic indicators of supply and demand shifts. The stock levels and quantities produced are found to have the highest predictive power. The preferred annual and monthly forecasting models outperform naive random walk forecasts by 27.1% and 3.4% respectively; their mean absolute percentage errors are 2.7% and 3.4% respectively. A simple trading strategy based on monthly forecasts is estimated to increase profits by 3.3% relative to a blind strategy that consists of always selling at the spot price.     

Extended Models for Quantal Response Data

There is much current interest in trying to improve the fit of the classical logit and probit models for quantal response data. This is done through transforming the dose scale and/or embedding a classical model in a richer parametric family. This paper provides an historical review of the development of this work, and attempts to make practical recommendations. Much of the work extends directly to the case of logistic regression.     

基于霍尔传感器的高压电流测量方法与实现

提出了一种利用霍尔传感器对电网电流进行非接触测量的方法 ,推导出了用霍尔传感器测量高压大电流的数学模型 ,在三相并行输电下 ,理论上推导出总磁场公式 ,并确定出检测方案。对传感器部分的电路结构进行了论证 ,利用单片机进行标度变换和数字显示。     

基于雷米兹交换算法设计线性相位对数FIR滤波器

本文首先列举分析成功地运用仿拟修辞格的商业广告体例,说明仿拟修辞格在商业广告中发挥着重大作用,然后探讨了汉语商业广告英译过程中仿拟修辞格的灵活运用。     

基于ATM网络的数据采集接入电路设计与实现

阐述基于ATM(异步传输模式)网络的数据采集接入电路的设计方法，介绍了系统接入电路中的核心电路，即差分混合接入电路，证明了实现发送与接收之间的最小干扰关系，并根据线路要求采用了ADSL网络专用的AD8016作为放大器，最后给出了实际应用电路。