A spatial autoregressive stochastic frontier model for panel data incorporating a model of technical inefficiency

By integrating Battese and Coelli’s (1995) model and the spatial autoregressive model (SAR), a spatial autoregressive stochastic frontier model for panel data is developed. The main feature of this frontier model is a spatial lag term of explained variables and the joint structure of a production possibility frontier with a model of technical inefficiency. The model addresses both spatial dependence and heteroskedastic technical inefficiency. This study applies maximum likelihood methods considering the endogenous spatial lag term. The proposed model nests several existing models. Further, an empirical analysis using data on the Japanese manufacturing industry is conducted and the existing models are tested against the proposed model, which is found to be statistically supported. The findings suggest that estimates in the existing spatial and non-spatial models may exhibit bias because of lack of determinants of technical inefficiency, as well as a spatial lag. This bias also affects the technical efficiency score and its ranking.     

Airports’ managerial human capital,ownership, and efficiency

Airport performance differences require a better understanding of the sources of efficiency and competitive advantages. Globalization drives the air transport industry into a more market-orientated business questioning the relationship between managerial decisions and airport performance. Aviation management studies do not consider managerial capabilities and skills since they are intangible exogenous factors that are difficult to assess. In this study, a stochastic frontier analysis is performed accounting for top managers' theoretical knowledge and experience enclosed as exogenous drivers of airports' efficiency. The model analyses 12 Polish airports from 2009 to 2017. The results show a diversity of airports with a different number of passengers as efficient. The top managers' experience, when gained in the same airport, has a positive impact on airports' technical efficiency. Airports having unstable management are more technically inefficient. Independently of the efficiency level, some airports change their management after the national elections, suggesting that managers are chosen by political interest rather than by their specialised knowledge or their prior experience in aviation management. The results suggest that more practical knowledge improve airports’ performance. Airports with a majority of government ownership that are the largest ones increase their efficiency significantly, suggesting that political decisions may be discriminatory in detriment of airports managed by regional and city authorities.     

Why sales reps should welcome information technology: Measuring the impact of CRM-based IT on sales effectiveness

This study seeks to answer the following question: Can sales representatives enhance their performance through their acceptance of information technology (IT) tools? Using data collected from two companies, we show that despite uncertain results and the frequent resistance among salespeople to IT interventions, IT acceptance indeed has a positive effect on sales performance. This occurs because salespeople using IT expand their knowledge and, in turn, gain improved targeting abilities, enhanced presentation skills, and increased call productivity. Thus, sales representatives have a strong incentive to accept IT because doing so is likely to sharpen their own job performance.     

基于SFA法的商业银行成本效率研究

本研究利用SFA法测度了14家商业银行1999—2008年间总共252组样本的成本效率值——其中原始样本140组，改进样本即考虑贷款质量的112组（2001—2008）。结果显示，不管资产质量（不良贷款率）考虑与否，股份制银行的成本效率都要优于国有银行，但差距在逐年缩小；不良贷款率对整个银行业有显著影响，其中对国有银行较股份制银行冲击大，效率值下降幅度相应较大，同时不良贷款率控制起色，负面影响逐年减小。     

Strategic and organisational determinants of sophistication in deployed sales force automation systems within three industry sectors in the UK

Abstract

This paper investigates strategic and organisational context determinants of the sophistication of adopted sales force automation (SFA) systems in three UK industries: financial services, pharmaceuticals, and building/construction. Sophistication of adopted systems is associated with the organisation placing greater emphasis on information orientation, which is itself driven by an increased integration of IT and sales coupled with increased organisational slack. Increased integration of IT and sales is itself driven by increased strategic importance of sales coupled with increased use of internal communication networks. Importantly, a firm's marketing orientation, although also driven by the strategic importance of sales, has no impact on either information orientation or SFA sophistication. We discuss the implications of our findings to aid understanding of SFA implementation failure.     

Sources of productivity growth on Finnish dairy farms—application of an input distance function

The objective is to examine sources of productivity change on Finnish dairy farms in the 1990s. The decomposition of productivity change into technical and technical efficiency change is widely recognized but it neglects the scale effect. Generalized decompositions incorporating all three components are calculated for a sample of Finnish dairy farms from 1989-2000. This period is of interest because of the drastic change in agricultural policy when Finland joined the European Union (EU) in 1995. The results indicate that productivity growth was on average low, approximately 0.15% per year. Neutral technical change was identified as the most important source of productivity growth (1.1%). Technical efficiency decreased by almost 0.5% annually. The contribution of the scale effect in productivity change increased towards the end of study period.     

中国移动通信市场区域发展差异及影响因素研究

基于诸多因素,中国移动通信市场发展的区域差异呈扩大趋势。文章依据27个省份的移动通信用户量面板数据,运用SFA(Stochastic Frontier Analysis)模型,进行实证分析,揭示各区域移动通信市场的分布格局、发展差异及影响因素。研究发现人均可支配收入和网络容量是影响通信市场的用户规模和通信产业区域协调发展的最重要因素,产业结构和教育水平等次之。为运营商制定开发策略、政府制定促进通信产业结构升级以及区域协调发展的政策提供启示。     

我国自贸区金融产业效率的影响因素分析

本文首先运用SFA模型计算我国11个自贸区金融产业效率,然后运用面板数据模型 实证分析金融产业效率影响因素对效率的作用。结果表明：金融产业中就业人数比固定资产投 资占有更重要的位置;对外开放程度、金融集聚程度、地方政府支持和人力资本对金融产业效 率的增长均产生显著的正向影响。     

“营改增”影响地方政府税收努力研究

基于随机前沿分析法（SFA）测算2011-2015年我国地方政府税收努力程度,并运用双重差分法考察“营改增”对地方征税行为的影响。研究发现：“营改增”将地方税（营业税）变为共享税（增值税）,显著降低了地方政府税收努力程度;改革对税收努力的冲击受经济发展水平、转移支付额度和税收返还的影响,获取转移支付收入和税收返还越多的地区税收努力下降速度越快。后“营改增”时期,如何提高税收效率,缓解地方财政收入对转移支付和债务收入的依赖性,是理顺中央和地方财税关系,完善财税收入体系的重要问题。     

Regulatory and environmental effects on public transit efficiency: a mixed DEA-SFA approach

This paper assesses the impact of regulatory and environmental factors and statistical noise on the efficiency of public transit systems within a DEA-based framework. Using a panel of Italian companies, we implement a DEA-SFA mixed approach based on [H.O. Fried et al. (2002) Journal of Productivity Analysis, 17(1–2), 157–174] to decompose DEA inefficiency measures into three components: exogenous effects, managerial inefficiency and stochastic events. Besides providing evidence on the determinants of input-specific efficiency differentials across companies, the results point out that managerial skills play a minor role, and emphasize the relevance of regulatory policies aimed at replacing cost-plus subsidization with high-powered incentive contracts as well as improving environmental conditions of public transit networks.