武陵山片区旅游节点交通畅达性研究

区域旅游节点的交通畅达性对区域经济发展具有强劲的推动作用,区域旅游节点的交通畅达性优劣取决于内部的连通性和外部的可达性。文章基于因子分析法分别就高等级公路、高速公路、普铁、高铁(动车)、民航航线等因素对武陵山片区内各旅游节点的交通畅达性的影响进行了评价分析,对各旅游节点的畅达性进行了排名;并选取2010、2014、2018年等3个时间节点数据导入GIS生成3个片区旅游交通图。研究发现:①重庆、武汉、长沙、贵阳四大中心城市的交通连线支撑起武陵山片区的交通网络,片区旅游节点之间的畅达性逐步提升;②处于武陵山片区外围重庆、武汉、长沙、贵阳四大中心城市交通大廊道上的旅游节点之间畅达性处于片区前列;③同一省市或同一传统旅游线路的旅游节点连通性较好,分属不同省市的旅游节点之间连通性普遍较差;④历史上,山高谷深、交通闭塞,各地市自然旅游资源丰富多样,文化旅游浓郁独特,近年来,武陵山片区旅游发展与交通建设相互推拉,呈现良性发展。     

福州市旅游客流量现状及其驱动因素

旅游客流量是衡量区域旅游业及旅游经济发展快慢的一个重要指标,也是反映旅游区景观质量好坏与综合服务水平高低的一个综合指标。文章依据福州市最近5年(1999—2003年)的旅游客流量及相关的社会经济数据,分年度、季度、月与黄金周等不同时段对近年来福州市区域旅游客流量的现状及其变动状况进行分析,并从旅游景区(点)内在的引力因素与外在的社会环境驱动因素两方面对影响福州市客流量的主要驱动因素进行了分析。     

中国船舶工业绿色全要素生产率及影响因素分析——基于ML生产率视角对“波特假说”的再检验

选用船舶工业宏观数据和资源环境约束等作为基础数据,运用方向性距离函数和ML指数测算了中国船舶工业绿色全要素生产率(Total Factor Productivity),通过面板模型系统考察了环境规制、技术进步对中国船舶工业绿色全要素生产率的作用。发现从长远来看,绿色全要素生产率呈增长趋势且具有明显的收敛特征,技术进步和技术效率共同推动船舶工业绿色全要素生产率的增长,但整体上绿色全要素生产率低于传统全要素生产率。运用动态面板模型分析中国船舶工业绿色全要素生产率的影响因素,结论表明:较高的技术水平能显著提高绿色全要素生产率,而对国际市场的过度依赖阻碍了船舶工业绿色全要素生产率的增长。环境规制对船舶工业绿色全要素的增长已经带来"补偿效应"从而提高了中国船舶工业的国际竞争力,为考察船舶工业绿色竞争力提供了新的视角。     

机场净空区超高障碍物风险性分析

针对机场净空区超高障碍物较多的现象,对飞机飞行航迹进行了测试,提出了净空安全系数的概念,结合实际测试数据,应用统计分析原理,得出了净空安全系数的概率分布规律.以安全系数的分布规律为基础,对不同超高障碍物的风险性进行了分析,并提出了按照不同安全系数划分障碍物限制高度的思路,最后给出了不同类型机场净空安全系数的建议值,对各类机场净空管理和障碍物限制面的确定具有重要参考价值.     

第三方物流服务提供商物流能力构成探讨

探讨第三方物流服务提供商物流能力的内涵、特征及其构成要素,提出第三方物流服务提供商的物流能力应包括物流要素能力、物流管理能力、物流服务能力、物流创新能力及物流规划能力,并对各种能力的内涵与评价指标进行了探讨.     

Building the Knowledge Stock: Lags,Depreciation, and Uncertainty in R&D Investment and Link with Productivity Growth

The search for an appropriate methodology to investigate the relation between R&D investment, knowledge stock and productivity growth is the main purpose of the paper. In analogy with physical assets, we present a model of knowledge capital formation which allows the calculation of the relevant user cost, as well. The proposed model accumulates R&D investment based on a stochastic gestation lag and a geometric depreciation of the stock. The basic parameters underlying the lag structure differ according to the types of research expenditure. The approach is applied to public R&D investment in Italian agriculture; the results provide interesting information about the economic structure of public research effort in Italian agriculture and plausible estimates of its internal rate of return.     

Government Consumption and Industrial Productivity: Scale and Compositional Effects

Within a production function framework in which government spending produces public goods which enter firms production functions, empirical tests using time series data spanning eleven countries and thirty industries find both the scale and the composition of government consumption spending to affect the level and the rate of growth of total factor productivity at the industry level.Jel Classification: H50, D24     

On exact D-optimal designs with 2 two-level factors and n autocorrelated observations

In this paper we consider the exact D-optimal designs for estimation of the unknown parameters in the two factors, each at only two-level, main effects model with autocorrelated errors. The vector of the n random errors in the observed responses is assumed to follow a first-order autoregressive model (AR(1)). The exact D-optimal designs seek the optimal combinations of the design levels as well as the optimal run orders, so that the determinant of the information matrix of BLUEs for the unknown parameters is maximized. Bora-Senta and Moyssiadis (1999) gave some conjectures about the exact D-optimal designs based on their experience of several exhaustive searches. In this paper their conjectures are partially proved to be true.Received: January 2003 / Accepted: October 2003Partially supported by the National Science Council of Taiwan, R.O.C. under grant NSC 91-2115-M-008-013.Supported in part by the National Science Council of Taiwan, R.O.C. under grant NSC 89-2118-M-110-003.     

Productivity Growth, Efficiency and Outsourcing in Manufacturing and Service Industries

This paper is a survey of recent contributions to, and developments of, the relationship between outsourcing, efficiency and productivity growth in manufacturing and services. The objective is to provide a thorough and up–to–date survey that provides a significant discussion on data, as well as on the core methods of measuring efficiency and productivity. First, the readers are introduced to the measurement of partial and total factor productivity growth. Different parametric and non–parametric approaches to the productivity measurement in the context of static, dynamic and firm–specific modelling are discussed. Second, we survey the econometric approach to efficiency analysis. The issues of modelling, distributional assumptions and estimation methods are discussed assuming that cross–sectional or panel data are available. Third, the relationship between outsourcing and productivity growth in manufacturing and services is discussed. The correspondence between a number of hypotheses and empirical findings are examined. Examples of varieties of relevant empirical applications, their findings and implications are presented. Fourth, measurement of inputs and outputs in manufacturing and services are discussed. Finally, to promote useful research, a number of factors important to the analysis of outsourcing, efficiency and productivity growth in the service sector are summarised.     

广东省流通服务业资本边际生产率变动趋势研究

为研究资本要素在广东省流通服务业中的使用和配置效率问题,首先运用永续盘存法估算出历年广东流通服务业中各行业以不变价计算的固定资本存量,再以收入法估算出历年行业的资本边际贡献份额,并计算了行业的不变价增加值,在此基础上估计出1993年~2003年10年间各行业的资本边际生产率。结果表明:这些行业的资本边际生产率在这10年间呈明显的上升趋势,即资本的使用效率在提高,但交通运输业的资本边际生产率偏低,且行业间的资本边际生产率差异增大,行业间资本的配置效率下降。