The effect of continuous improvement capacity on the relationship between of corporate social performance and business performance in maritime transport in Singapore

Drawing on organisational learning theory, this study argues that shipping firms with high continuous improvement capacities have better success in transforming corporate social performance (CSP) into business performance. Survey data were collected from 223 shipping firms in Singapore and analysed using multi-sampling analysis, hierarchical regression modelling, and simple slope analysis. The results support the study’s argument and show that business performance is maximised when continuous improvement programmes targeted at CSP are carried out at a gradual pace and at regular intervals. This implies that shipping firms should adopt a dynamic, value-driven approach to improving CSP.     

On the multi-dimensionality and sampling of air transport networks

Complex network theory is a framework increasingly used in the study of air transport networks, thanks to its ability to describe the structures created by networks of flights, and their influence in dynamical processes such as delay propagation. While many works consider only a fraction of the network, created by major airports or airlines, for example, it is not clear if and how such sampling process bias the observed structures and processes. In this contribution, we tackle this problem by studying how some observed topological metrics depend on the way the network is reconstructed, i.e. on the rules used to sample nodes and connections. Both structural and simple dynamical properties are considered, for eight major air networks and different source datasets. Results indicate that using a subset of airports strongly distorts our perception of the network, even when just small ones are discarded; at the same time, considering a subset of airlines yields a better and more stable representation. This allows us to provide some general guidelines on the way airports and connections should be sampled.     

Mediation Between Tourism Contribution and Economic Growth in the Greater Mekong Subregion

The objective of this paper is to determine the mediation between tourism contribution and economic growth in the Greater Mekong Sub-region (GMS) (i.e. Cambodia, Laos, Myanmar, Thailand and Vietnam). The sample period is semi-annual data from 1995 to 2013 and is also estimated by bootstrap panel cointegration, Panel Fully Modified Ordinary Least Squares method and the Sobel test. The results show that the variables are cointegrated as three models; economic growth is running to tourism's total contribution to GDP and international tourism expenditure for passenger transport whereas international tourism expenditure for passenger transport is running to tourism's total contribution to GDP. Therefore, this study finds that international tourism expenditure for passenger transport is a mediator and has partial mediation. The GMS needs to develop every economic sector and improve the potential of the transport sector as a regional integration project which supports the sustainable development of the region.     

A neuro-fuzzy combination model based on singular spectrum analysis for air transport demand forecasting

Air transport demand forecasting is receiving increasing attention, especially because of intrinsic difficulties and practical applications. Total passengers are used as a proxy for air transport demand. However, the air passenger time series usually has a complex behavior due to their irregularity, high volatility and seasonality. This paper proposes a new hybrid approach, combining singular spectrum analysis (SSA), adaptive-network-based fuzzy inference system (ANFIS) and improved particle swarm optimization (IPSO), for short-term air passenger traffic prediction. The SSA is used for identifying and extracting the trend and seasonality of air transport demand and the artificial intelligence technologies, including ANFIS and IPSO, are utilized to deal with the irregularity and volatility of the demand. The HK air passenger data are collected to establish and validate the forecasting model. Empirical results clearly points to the enormous potential that the proposed approach possesses in air transport demand forecasting and can be considered as a viable alternative.     

农资连锁企业发展区域软环境存在问题及对策研究——以浙江为例

随着农资市场价格的放开，中国市场面临着国际农资品牌大量涌入的挑战，国际知名厂商、供应商及流通巨头将采取不同方式进入中国，争夺中国的农资市场份额，中国农资市场主体将受到巨大的冲击，农资流通企业面临将重新洗牌。因此，主动调整和改善农资连锁企业经营的区域软环境，促进和带动中国农资企业的发展已是燃眉之急。应该重视这个问题，并针对存在的不足提出相应的解决措施。     

大秦铁路榆次站枢纽现状分析及扩能探讨

铁路枢纽运转效率的高低直接影响着铁路运输企业的竞争力。随着石太、侯月、丰沙大线三线增量及车流的调整，榆次站枢纽的地位显得尤为重要。调研榆次站枢纽现状，分析车流现状、各场能力及运用情况，针对既有运输组织方式下局部运转不畅的问题，提出优化作业组织、人员配备、编组计划等提升榆次站枢纽能力的扩能建议。     

中国物流企业运输成本控制浅析

运输是物流体系的核心部分,运输的合理化对物流起着至关重要的作用。如何能够有效降低企业运输成本,增强企业的竞争力,这需要从当代物流发展的实际状况出发,分析影响运输成本的因素,从而采取有效措施来合理组织运输,进而实现降低运输成本,提高物流效益的目的。     

浅谈公交优先对城市综合发展的作用

随着城市规模的扩大和城市人口的增加,城市交通的压力也正在不断加剧,公交优先的方向应当始终坚持。实行公交优惠票价政策,体现了社会资源共享的公平性和经济合理性,有助于缓解交通拥堵,减轻大气污染保护环境,也有助于建立和谐社会,促进城市繁荣和城市综合发展。     

论税收政策及其政策目标与政策手段的选择

税收政策是政府社会经济政策的重要组成部分 ,税收政策的运用 ,主要取决于税收政策目标和税收政策手段的选择。从税收政策、税收政策目标及其税收政策手段的内涵及抉择条件入手 ,对现阶段我国税收政策目标的确定、税收政策手段的选择路径提出若干建议     

我国旅游业与民航客运业相关性研究及启示

民航客运业和旅游业之间的发展有很强的关联性,旅游业三大市场(国内旅游市场、出境旅游市场、入境旅游市场)都与民航客运业呈显著的正相关关系.因此,一方面要加强民航客运业与旅游业之间的合作,抓好国内旅游市场的客源,继续保持民航客运在出境游旅客中的绝对优势,开辟旅游特色航线,开发配合旅游业的民航特色服务,使民航客运业与旅游业在发展中携手共进;另一方面,民航客运业的发展要跟上旅游业发展的脚步,在运力、航线网络覆盖面等方面满足旅游业发展的需求,将旅游业对民航客运业发展的辅助作用发挥到极致.