中国新经济:作用、特征与挑战

在创新发展理念和创新发展战略的引领下,在一系列政策措施的推动下,新经济正在中国迅速成长,对经济发展和人民生活产生了巨大影响。本文首先从宏观角度阐述了新经济迅速发展的情况及其在减缓传统经济增速下行压力、促进经济结构转型升级、推动高质量发展、转变人们生活方式等方面发挥的重要作用;其次,根据对全国9省市的29家新经济企业的调研情况,从微观角度对新经济企业的发展状况和重要特征,在高质量发展中的作用、遇到的困难和问题等进行了研究。本文进一步探讨了新经济给政府统计带来的挑战,并就如何应对这些挑战提出了若干思考。最后,本文提出了促进新经济持续健康发展的政策建议。     

The Determinants of Dual Distribution Revisited

This paper examines the use of what has been called “dual distribution” by firms. Dual distribution involves a firm using both company-owned stores and independently owned franchises to sell its product or service. Using panel data from 1048 companies for the years 2005 to 2009, I use a variety of estimators to determine the factors that influence the relative use of franchising by companies. A key focus of the paper is to control for the possible endogeneity of the franchise fee, royalty rate, and franchise ratio for the companies in the respective industries. Using a panel data estimator and lagged values of the franchise fee and royalty rate as instruments, I find that one reason the franchise fee and royalty rate do not appear to influence the relative use of franchising is due to industry- and firm-level fixed effects, which capture the variation in royalty rates and franchise fees at the company level.     

Integrating marketing databases through regressed microsegmentation

In order to quantitatively target media to markets, media planners need a data base that contains both target market membership and media usage variables. In the absence of single-source data, containing both kinds of variables, researchers have sought to synthesize, or integrate, these data through a variety of different approaches. One of the most elegant is microsegmentation. While the approach has been shown to consistently underestimate the concentration of target market members in the most selective media vehicles, this study suggests that the method might produce a proper ordering, or better yet, a proportionate evaluation of media. This, in turn, suggests that a regression equation might be used to adjust initial estimates of target market concentrations, thus providing a better means of linking target market and media data bases.     

Big data? Big deal: Searching for big data’s performance effects in HR

Big data continues to gather increasing interest in the business press as well as within the management literature. While this interest has spilled over into the realm of human resources (HR) management, solid evidence of its positive performance impacts is lacking. I explore three possibilities for this lack of evidence: (1) HR possesses big data but largely lacks the ability to use it; (2) HR does not actually possess big data; and (3) big data is generating value for HR and positively affects organizational performance, but the winners in the race to utilize big data in HR are not publicizing their successes. Following this, I discuss current forms of big data implementation, highlighting an evolutionary progression of implementations in various settings and emphasizing the importance of balancing deductive with inductive analytical approaches. Finally, I discuss conditions under which big data may hold greater value for the HR function, and I suggest ways managers and organizations can make the most of big data.     

‘Empirical characteristics’ of scholarly journals in hospitality and tourism research: An assessment

The objective of this study is to describe the ‘empirical characteristics’ of scholarly journals in hospitality and tourism research by assessing selected journals. A sample of scholarly journals was selected on the basis of journal ranking lists. The ‘empirical characteristics’ assessed in this study were found to be variable across the studied journals.     

Methods for Generating Longitudinally Correlated Binary Data

The analysis of longitudinally correlated binary data has attracted considerable attention of late. Since the estimation of parameters in models for such data is based on asymptotic theory, it is necessary to investigate the small‐sample properties of estimators by simulation. In this paper, we review the mechanisms that have been proposed for generating longitudinally correlated binary data. We compare and contrast these models with regard to various features, including computational efficiency, flexibility and the range restrictions that they impose on the longitudinal association parameters. Some extensions to the data generation mechanism originally suggested by Kanter (1975) are proposed.     

WEB‐BASED AND MAIL SURVEYS: A COMPARISON OF RESPONSE,DATA, AND COST

The mail survey is the most common data collection technique used by logistics researchers today. Many researchers have noted that response rates to mail surveys have been declining. The Internet offers logistics researchers several potential advantages over traditional mail surveys. This research compares these two methods across response rates, speed of response, consistency of results, and cost. The research also provides unique insight regarding the ability of electronic methods to gain interest and subsequent participation among potential respondents thereby helping in theory testing.     

On the efficiency of national innovation systems

This paper presents a non-parametric approach to the disentanglement of the related effects of efficiency and productivity of a country's technological effort. The ultimate purpose is to identify the extent to which the alleged decrease in the productivity growth of many countries can be explained by differences in efficiency and by differences in its components, namely scale and congestion. The role of moderators in explaining productivity fluctuations if also assessed. The database consists of the countries included in the World Competitiveness Report.     

Closest targets and minimum distance to the Pareto-efficient frontier in DEA

In this paper, we propose a general approach to find the closest targets for a given unit according to a previously specified criterion of similarity. The idea behind this approach is that closer targets determine less demanding levels of operation for the inputs and outputs of the inefficient units to perform efficiently. Similarity can be interpreted as closeness between the inputs and outputs of the assessed unit and the proposed targets, and this closeness can be measured by using either different distance functions or different efficiency measures. Depending on how closeness is measured, we develop several mathematical programming problems that can be easily solved and guarantee to reach the closest projection point on the Pareto-efficient frontier. Thus, our approach leads to the closest targets by means of a single-stage procedure, which is easier to handle than those based on algorithms aimed at identifying all the facets of the efficient frontier.