基于转移概率和网络联系的辽宁省农村居民点适宜性评价

[目的]农村居民点适宜性评价在农村居民点调控、规划和预测中具有基础作用,且农村居民点适宜性评价应顾及农村居民点之间的社会经济活动联系。[方法]以辽宁省为研究区,首先运用逐步Logistic回归模型构建农村居民点转移概率,其次运用网络分析方法确定农村居民点图斑间的网络联系强度,最终通过加权求和方法确定农村居民点转化概率,进行农村居民点空间布局适宜性评价。[结果]辽宁省农村居民点可以划分为高度适宜类、较适宜类、一般适宜类和不适宜类4类,分别占农村居民点总面积的比例为28.18%、31.32%、13.26%和27.24%;从各地貌分区来看,高度适宜类主要集中分布在中部平原地区和东部山地丘陵区中的南方沿海地区,而不适宜类整体分布则较为零散;辽宁省中部平原区位条件好,东部沿海地区区位条件也较好,西部山地丘陵区地区较差。[结论]研究方法和结论有助于全面把握农村居民点社会经济与区位适宜性特征,为农村居民点科学规划提供科学指导。     

衡水市农户土地资源转出意愿的影响因素与行政干预

[目的]通过了解河北省衡水市农户土地转出的意愿状况,分析影响农户土地资源转出意愿的关键因素,并制定正确的战略决策,为构建农地适度规模化经营奠定理论基础,促进衡水市农民的现代化发展。[方法]文章结合调研情况,对样本区农户土地使用权流转行为进行了统计描述和分析研究,并运用Logistic模型对农户土地使用权转出意愿的影响因素进行了分析,找到了影响衡水市土地流转的关键性因素。[结果]研究表明,户主年龄、从事职业和文化程度、农户家庭非农收入以及农户家庭兼业人数等与农户土地转出意愿呈显著正相关关系,显著性数值分别为0. 018、0. 000、0. 010、0. 000、0. 028,而农户家庭农用机械数量则与农户土地转出意愿呈显著负相关关系,显著性数值为0. 033。此外农户社会保障程度和农户对政府土地流转的相关政策了解程度等因素也影响着农户土地流转的意愿。[结论]影响农户土地转出意愿的显著性因素包括家庭非农收入、户主年龄和职业;另外,户主的年龄、职业、文化程度、非农收入、家庭兼业人数和农用机械数量均是影响农户土地转出意愿的重要内容。     

The impact of conservation tillage on maize yield and input demand: the case of smallholder farmers in north‐west Ethiopia

This study analyses the economics of conservation tillage (CT) with respect to its effect on maize yield and chemical fertiliser, herbicide, and female and male labour demand. We estimate production and input demand functions using seemingly unrelated regressions on plot‐level cross‐sectional farm household data collected in the north‐west of Ethiopia. A two‐step control function is applied to address potential endogeneity bias due to the inclusion of the CT adoption decision as an explanatory variable. Our results show that CT increases maize yield and chemical fertiliser demand. Additionally, the results show that the adoption of CT reduces female and male labour required for crop production. However, this is achieved through the increased use of herbicides, which might have an undesirable health and environmental effects.     

Factors affecting agricultural land transfer-in in China: a semiparametric analysis

We use interview survey data collected randomly from 2677 farm households in nine provinces of China to understand the role of demographic, economic, land, and village characteristics on agricultural land transfer-in by farmers. Results show that variables such as borrowing from informal sources, household labour availability, percentage of total income from agricultural sources, and the household with village cadre have significant positive effects on land transfer-in. Low economic development and low transportation network availability in a county reduces land transfer-in. We also find that two variables (land holding and land idling) should be entered into the model nonparametrically. Land holding and land idling have U- and L-shaped impacts on land transfer-in, respectively. Land transfer-in has endowment equilibrium and provides Chinese households more opportunities to earn agricultural income, thereby reducing rural poverty.     

The empowerment expectation–perception gap: An examination of three alternative models

Previous empowerment research has focused on subordinate perceptions of empowering leadership and its outcomes. Met‐expectations theory suggests that subordinate expectations of leader behaviours are essential in forming their a posteriori evaluations. To address the lack of investigation of individual expectations in the empowerment literature, in this study, we explore how subordinates' empowerment expectations and perceptions combine to influence their job satisfaction and psychological empowerment based on three alternative, theoretically derived met‐expectation models, namely, the disconfirmation model, the ideal‐point model, and the experiences‐only model. The results of a 2‐stage study of 114 respondents indicate that employees are more satisfied with their work when perceived empowerment exceeds expectations. However, both empowerment perceptions and expectations positively contribute to higher psychological empowerment. We then discuss implications and directions for future research.     

Trade-threshold Effect on Inflation in Tunisia: New Evidence Resulting from a Nonlinear Approach

Trade openness is an important determinant of the inflation process. The effect of trade openness on inflation, however, is still an issue of debate at both theoretical and empirical levels. This study tried to provide a contribution to the literature by examining the relationship between inflation and trade openness in Tunisia over the period 1975Q1-2015Q4 using a nonlinear model. The originality of this study stems from the fact that it is the first investigation considering both the Residual-Based Tests for Cointegration in Models with the Regime Shifts and Threshold Regression model. The linear model confirms the existence of a positive relationship between inflation and trade in Tunisia. Yet, considering the nonlinear model, trade openness growth and Consumer Price Index (CPI) inflation growth show a statistically significant negative link as long as the trade openness evolution does not exceed the threshold. Nevertheless, if the trade openness growth is higher than the threshold, integrating the trade positively affects CPI inflation. Furthermore, a positive influence of Money supply growth on this type of inflation was noticed in Tunisia in all the considered regimes proving the effect of monetary factors on inflation level. Consequently, trade openness could be used to control inflation in Tunisia.     

农户参与乡村旅游扶贫的影响因素研究——以福建省赤溪村为例

以福建省赤溪村农户为调研对象,运用相关性检验和二元Logistic回归模型对影响农户参与乡村旅游扶贫的因素进行研究。研究发现:农户参与乡村旅游扶贫的比例较高,但是旅游经营的项目单一;农户的学历、劳动力数量、地理位置、参与乡村旅游扶贫培训的次数对农户参与乡村旅游有显著地正向影响作用;农户生计资本和对旅游发展的感知中的权力关系、可借款能力、家庭年收入、了解乡村旅游扶贫政策、有资源用于发展乡村旅游也是影响农户参与的主要因素。在此基础上,提出了加大扶贫政策宣传力度,提高旅游扶贫政策利用程度完善旅游相关基础设施,扩大农户扶贫资金来源渠道,完善扶贫资金体系,完善旅游供给侧创新旅游经营模式,实行多项扶持的针对性建议。     

Labor market analysis through transformations and robust multivariate models

The work presents a robust approach to labor share analysis. The estimate of labor share presents various complexities related to the nature of the data sets to be analyzed. Typically, labor share is evaluated by using discriminant analysis and linear or generalized linear models, that do not take into account the presence of possible outliers. Moreover, the variables to be considered are often characterized by a high dimensional structure. The proposed approach has the objective of improving the estimation of the model using robust multivariate regression techniques and data transformation.     

陕北黄陵县农户生计资本评价及其生计策略研究

[目的]选取受退耕还林、封山禁牧等生态政策影响较大的陕北农户为研究对象,分析农户生计资本与生计策略之间的作用关系。[方法]基于可持续生计分析框架,采用Logistic回归模型,对17个行政村335户样本农户数据进行分析。[结果](1)研究区农户的人力资本整体得分最高,社会资本居次,物质资本中等偏下,自然资本和金融资本处于低水平;(2)农户生计分化明显,典型的纯农户很少,农户生计策略主要为兼农型和低水平非农型;(3)回归分析表明,人力资本指数高的农户倾向于外地兼农,物质资本和社会资本指数高的农户倾向于当地兼农,家庭年收入、人均教育投入和人情往来3项指标是促进农户向非农型生计策略转变的关键因子。[结论]农户生计策略的选择和转变是建立在自身资本结构上的,其往往向着发挥生计资本优势、规避生计资本短板的方向调整生计策略,进而达到提高整体生计资本水平的目的。人力资本优势主导下的黄陵县,加之沟壑区农地资源空间配置的破碎性与复杂性,外地兼农型生计策略将仍是该地区农户近期内的主要生计抉择。     

基于机器学习的斜坡堤越浪量预测方法研究

针对斜坡堤越浪量预测方法,分别建立集成神经网络(ensemble neural network,ENN)、随机森林(random for-eset,RF)和支持向量回归机(suppport vector regression,SVR)3种机器学习模型对斜坡堤越浪量进行预测,并利用决定系数R2和均方根误差RMSE来评估模型性能.最后,对3种模型的性能进行分析.结果显示,集成神经网络模型的决定系数R2和均方根误差RM S E分别约为0.96和0.0018,随机森林模型的决定系数R2和均方根误差RMSE分别约为0.97和0.0014,支持向量回归机模型的决定系数R2和均方根误差RMSE分别约为0.94和0.002.对比发现,3种模型的决定系数都达到0.9以上,都具有较高的预测精度,随机森林相比其他两个模型精度更高.