The productivity of private and social farms: Multilateral Malmquist indices for Slovene dairying enterprises

Applying programming techniques to farm-level panel data for four cooperative and 12 private dairy farms in the Yugoslav Republic of Slovenia gives estimates of technical efficiency, scale efficiency, and technical progress. These are used to construct multilateral Malmquist indices of total factor productivity (TFP). For the cooperatives, TFP growth has been slow and is attributable to technical progress. For the private farms, technical progress was also slow, but TFP growth was faster due to improved efficiency. Scale inefficiency explains the poorer absolute performance of the private farms, indicating the need for land reform as well as technological change.     

Input- and Output-Oriented Technical Efficiency of Ukrainian Collective Farms, 1989–1992: Bayesian Analysis of a Stochastic Production Frontier Model

We propose estimation of a stochastic production frontier model within a Bayesian framework to obtain the posterior distribution of single-input-oriented technical efficiency at the firm level. All computations are carried out using Markov chain Monte Carlo methods. The approach is illustrated by applying it to production data obtained from a survey of Ukrainian collective farms. We show that looking at the changes in single-input-oriented technical efficiency in addition to the changes in output-oriented technical efficiency improves the understanding of the dynamics of technical efficiency over the first years of transition in the former Soviet Union.     

Implications of variant efficiency measures for policy evaluations in UK higher education

Policy goals in UK higher education encourage the publicly funded universities to become more-specialised and larger in size without compromising output quality. Efficiency gains are expected to flow from this increased specialisation in accordance with universities’ comparative research and teaching strengths. Mergers to reap further gains from economies of scale are also being actively encouraged. Given this scenario, the paper investigates whether best-practice efficiency measurement based on data envelopment analysis (DEA) provides empirical support for the current policy goals. It also assesses whether such support is dependent on the specific type of efficiency measure used in the DEA modelling. This assessment finds that a selection of (nine) commonly used, variant efficiency measures generally support the current policy goals. The paper also uses the principal-agent framework to explore the issues involved in using computed DEA-based efficiency scores for policy evaluations and possible funding guidance in UK higher education. This highlights empirically how policy-makers and universities can have very different preferences about which efficiency measure is to be used for policy evaluations and possible funding guidance.     

基于DEA的经济新区投资绩效评价——以天津滨海新区为例

本文利用数据包络分析(DEA)方法,对经济新区投资绩效进行了综合分析,指出各个非DEA有效决策单元中存在的投入冗余与产出不足并提出了相关结论与建议。     

基于相对竞争力比较的零售企业竞争力评价分析

通过对企业竞争力涵义的分析,构建了零售企业竞争力综合评价指标体系;利用功效系数法和综合评价的方法,通过与同行业其它零售企业竞争力比较和零售企业对自身竞争力评判的方式,建立零售企业的竞争力综合评价模型;使企业能够客观、正确地认识和评价企业自身竞争力,为其进一步提高自己市场竞争力提供科学有效的理论依据。     

Understanding resource deployment efficiency for ESG and financial performance: A DEA approach

COVID-19 has stimulated additional research interest on economic sustainability and ESG in both academia and industry. This study adopts a DEA approach to examine the efficiency of achieving ESG targets and their relationships with financial performance. Using MSCI ESG data from 2015 to 2019 on 1108 Chinese firms, we examine the ESG proportional and pillar mix efficiencies. The dominant strategies for our sampled firms are to improve overall ESG performance by enhancing the E and S pillars through sacrificing G’s performance. The second result shows a positive relationship between proportional efficiency and financial performance while a mixed relationship between pillar mix efficiency and financial performance. However, for the technology sector, there exists some trade-offs between ESG performance and financial performance. Specifically, relative to non-technology firms, improving proportional and pillar mix efficiencies for technology firms could result in some sacrifice in stock valuation.     

农机服务规模经营对粮食生产效率的影响机理研究

依据2009—2019年全国31个省（自治区、直辖市）的省级面板数据,运用随机前沿分析方法和Tobit模型,考量农机服务规模经营对粮食生产效率的影响及其作用机理。结果显示：2009—2019年,中国粮食生产效率总体递增,但区域间发展不平衡;农机服务规模经营通过技术引入效应和劳动力替代效应提高粮食生产效率,其中,技术引入效应的发挥受限于农业研发支出水平及其增速,劳动力替代效应在农业劳动力成本高的区域发挥的影响效用更佳。鉴于此,应加快农业科技创新,发展粮食生产全程机械化服务,完善农机社会化服务体系。     

Media attention and regulatory efficiency of corporate violations: Evidence from China

We examine the influence of media attention on the regulatory efficiency of corporate violations in a restrictive media environment. Using a hand-collected sample of corporate violations in China during 1998–2018, we find that fraudulent firms accompanied by more negative media attention are associated with a higher hazard rate of the violation being investigated and enforced. The effect is not diminished by the political connections of the fraudulent firms and is robust after controlling for potential confounding factors. Our findings suggest that by influencing regulatory efficiency, the media serve as an effective governance mechanism even in markets with strict media control.     

信息披露监管模式变更影响企业投资效率吗？——基于双重差分模型的实证检验

基于制度变迁理论考察信息披露监管模式由“辖区监管”变更为“分行业监管”对投资效率的影响。研究发现：分行业信息披露监管模式的实施有效抑制了上市公司非效率投资行为,且对于低质量信息披露以及高盈余管理行为的上市公司抑制效应更加明显;提高会计信息可比性,降低代理成本是其发挥抑制作用的重要路径。在排除了替代性解释和内生性问题以及通过安慰剂检验后,研究结论仍然成立。     

发展中国家资本流动约束低效率分析

在发展中国家存在着较为严重的资本流动约束现象 ,由此产生了资本流动低效率。文章对发展中国家的资本初始流动低效率和我国的资本再流动产生的低效率进行了分析 ,提出了提高资本流动效率的政策建议。