再论加快我国行政区划体制的改革与创新

新时期,我国的政府职能转变、交通通讯技术以及城市化加速发展使行政区划管理的基础条件发生了变化,同时提供了改革创新的新动力。因此,我们必须思考加快我国行政区划体制的改革与创新。     

开发区失地农民补偿安置及生存状况研究 ——以泰安市高新技术产业开发区为例

研究目的：通过泰安高新技术产业开发区失地农民补偿安置案例,透视开发区失地农民生存状况,发现开发区失地农民补偿安置方面的问题,找出解决开发区失地农民问题的方向。研究方法：田野调查法、对比分析法。研究结果：（1）泰安开发区土地征收补偿标准符合国家法律规定;新房抵旧屋的房屋拆迁补偿方式深受农民欢迎。（2）土地征收使当地农民就业率小幅下降,但农民就业结构明显改善。（3）开发区失地农民当前的生存状况良好,但缺乏长期的生存保障机制。研究结论：防止失地农民生存状况恶化,解除失地农民后顾之忧的根本措施在于做好失地农民的就业安置和社会保障。     

广东发展农业生态旅游的条件和区域特征

本文对农业生态旅游的概念、意义、开发条件以及开发前景进行探讨,指出广东省发展农业生态旅游的区位优势、资源优势、农业特色优势和客源优势,并指出发展农业生态旅游有利于促进农村经济全面发展,是今后农业开发的一个方向,在发展广东农业生态旅游时应充分认识到农业旅游的区域性、自然性和季节性的特点,要在农业生产与旅游相结合的基础上,保持其自然景观和乡土气息,同时必须利用当地资源优势,合理布局,全面规划,突出区域性特色,避免重复布点,以促进农业和旅游业可持续发展。     

一项关于价格水平决定的财政理论的实证研究

本文遵循Sala的五变量VAR方法发现,在绝大部分时间里,实际利率对一个标准差的实际税收正向冲击的反应为正,这就为价格水平决定的财政理论提供了来自中国的经验证据的支持。除此之外,与很多学者一样,本文还发现了实际税收冲击的非凯恩斯效应。     

金融危机以来我国沿海港口货物吞吐量影响因素研究——兼论我国经济由外需拉动向内需驱动转型的一个证据

通过建立基于贸易引力模型的我国沿海港口货物吞吐量影响因素的VAR模型,分别考察了交通运输业固定投资、人民币汇率、世界经济状况和国内经济状况对我国沿海港口货物吞吐量的影响,并以金融危机以来的数据作为样本对该模型进行了实证检验.由脉冲响应和方差分解分析发现:世界经济发展状况对我国沿海港口货物吞吐量的影响最大,且世界经济的复...     

Risk Behaviours and Grazing Land Management: A Framed Field Experiment and Linkages to Range Land Condition

We use a framed field experiment considering hypothetical stocking rate decisions made by grazing enterprise managers and estimate non‐linear multinomial logit models for a range of nested non‐expected utility and expected utility models. The risk and decision‐bias parameters for five models estimated for individual responses are shown to be significantly related to land condition but in ways which suggest behavioural aspects of decision making are critical in understanding land management and stocking rate decisions. Our results show that individual heterogeneity in decision making amongst farming groups is likely to be a significant source of variation in farming intensity and technology adoption decisions. This heterogeneity does not appear to be a reflection of socio‐demographic characteristics. Furthermore, decision functions appear to be biased toward selection of simpler representative functions (e.g. Expected Utility) for sample averages. This suggests that experimental findings that Expected Utility is representative for actual decisions may be due to sample averaging rather than reflect actual behaviour.     

矿区地质条件对农村居民点整理模式选取的影响分析——以山东省肥城煤矿区为例

研究目的：通过分析不同农村居民点整理模式集中分布区域的地质条件,找出影响整理模式选取的各种地质环境。研究方法：综合分析法、归纳法。研究结论：地质条件是矿区选取农村居民点整理模式的根本依据。近年来,中国农村居民点整理范围不断扩大,但对复杂地质环境区域,尤其是地质环境复杂的矿区的农村居民点整理研究还比较少,应加大对特殊地质条件下农村居民点整理的研究。     

Informality and mobility

Informality is a defining characteristic of labour markets in developing and transition countries. This paper analyzes patterns of mobility across different forms of formal and informal employment in Russia. Using the Russian Longitudinal Monitoring Survey household panel we estimate a dynamic multinomial logit model with individual heterogeneity and correct for the initial conditions problem. Simulations show that structural state dependence is weak and that transition rates from informal to formal employment are not lower than from non-employment. These results lend support to the integrated view of the labour market.     

Intertemporal production and intertemporal substitution in output supply and input demand

This article presents an intertemporal model of production with multiple inputs to investigate substitution opportunities facing firms over time. The firm’s intertemporal profit maximization problem is characterized with the familiar cost function, and various intertemporal substitution elasticities are delineated for output supply and input demand. The absence of intertemporal substitution in production can imply production smoothing, and allowance for intertemporal substitution in labour demand reinforces the prediction of the real business cycle model. For aggregate US manufacturing, we find substantial substitution in output supply and labour demand over time due to intertemporal changes in output price and wage rates.     

Smallholder land ownership in Kenya: distribution between households and through time

This study uses panel data to demonstrate two dimensions of land ownership: the distribution between households at a given time and changes within a household over time. We note that recognizing the latter dimension is only possible when analyzing rare long‐term panel data. We estimate a model for land ownership using a version of the correlated random effects estimator to uniquely identify the determinants of both dimensions amongst Kenyan smallholders. We find life cycle effects are a key determinant of both distributions, and identify important ways in which initial conditions such as inheritance and off‐farm income relate to the dynamics of ownership. We find that population density is a key determinant of differences between households, but also that a given household's land ownership is not affected in the short term as population density increases around them. Controlling for population density, households own more land when they are closer to road networks where the economic value of land is higher. We find important vulnerabilities for the land security of widows, but this vulnerability is geographically heterogeneous.