Performance evaluation of China's high-tech innovation process: Analysis based on the innovation value chain

The Chinese high-tech industry has developed greatly since the beginning of China's “National High-tech R&D (863) Program” and “China Torch Program”. This paper introduces a conceptual model extended from the innovation value chain model to simultaneously estimate the R&D and commercialization efficiencies for the high-tech industries of 29 provincial-level regions in China. To match reality, a network DEA incorporating both shared inputs and additional intermediate inputs is constructed to open the “black box” view of decision making units used in single-stage DEA. This study is the first attempt to link the R&D and commercialization with a solid theoretical foundation and feasible mathematical methods. The empirical findings show that most of the 29 regions have low efficiency in the commercialization sub-process compared to the R&D sub-process, although there are regional differences in China's high-tech industry. Pearson correlation shows that the R&D sub-process is not closely correlated to the commercialization sub-process in terms of efficiency. Our analysis can provide information for the formulation of policies to achieve high innovation efficiency.     

Community participation in heritage tourism planning: is it too much to ask?

Considering the complications of collecting empirical data on community participation, this study proposes a new methodological approach that departs from the current literature. For the first time, an experimental procedure is adopted to conduct a direct comparison between participatory and non-participatory decision-making in the context of heritage tourism planning. Contrary to previous work, this is the first ex-ante assessment of community participation at a destination with no such prior experience. The analysis relies on behavioural data on choices, deliberation and conflict studied in the context of a controlled collaborative environment. The findings suggest that choices and deliberation between participatory and non-participatory groups exhibit no statistically significant differences although participatory groups were more susceptible to conflict. However, interestingly, conflict was constructive as it increased provisions for heritage goods. Furthermore, intra-group heterogeneity did not always affect collective decisions negatively whereas trust and institutional credibility played a major role in influencing both individual and collective preferences. These findings have important implications for research and policy, opening a novel avenue for the systematic study of participation dynamics to inform the instigation of participatory endeavours.     

Understanding consumers' purchase intentions toward natural‐claimed products: A qualitative research in personal care products

In recent years there is a trend of consuming natural products for a sustainable and healthier life. Therefore, firms began aligning their strategy with sustainability by communication strategies that they produce natural products, which are better for health as well as the environmental sustainability. However, sometimes these claims may be deceptive. The purpose of this paper is to understand the consumers' purchasing intentions toward products claiming naturalness in their advertising and packaging strategies. This research also examined greenwashing perceptions and their potential roles in purchasing intentions. In‐depth face‐to‐face interviews carried out with 20 Turkish women regarding personal care products (local brand and international brand). The findings of the interviews revealed eight themes (perceived greenwashing, perceived green image, price perception, environmental concern, green trust, skepticism, perceived risk, and purchase intention). This study contributes to predict a framework from consumer viewpoint for identifying the themes related to greenwashing.     

Impact of international entry choices on the nature and type of innovation: Evidence from emerging economy firms from the Indian bio-pharmaceutical industry

As emerging economy multinational enterprises (EMNEs) enter foreign countries in search of new markets, seeking to expand their knowledge bases, research on the type and nature of innovation activity is needed to address the impact of EMNEs’ choices related to international expansion. Building on prior literature on entry mode and location choices, as well as on organizational learning, we argue that how and where an EMNE expands internationally will impact the nature of its innovation. We carry out empirical analysis on a sample of 167 Indian bio-pharmaceutical firms for the period from 1997–2017. Our findings suggest that greenfield ventures foster innovation in core technologies, while cross-border mergers and acquisitions (M&As) foster innovation in non-core technologies. In addition, locating subsidiaries in high income countries encourages product innovations, while locating in low income countries encourages process innovations. Our findings contribute to the growing literature on differences in learning outcomes of EMNE internationalization.     

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.     

Determinants of the allocative,cost and scope efficiencies of Indian banks

ABSTRACT

This study aims to investigate the impact of competition on determinants of allocative, scope and cost efficiencies of Indian scheduled commercial banks (SCBs). Specifically, the study, analyzes the impact of the second round of licensing on the efficiency of Indian SCBs. This is the first paper to measure scope efficiency of Indian banks and analyze its determinants. A two-stage analysis is performed on a balanced panel dataset of Indian SCBs for the period 1999–2016. In the first stage, the allocative, cost and scope efficiencies for each bank are estimated following the data envelopment analysis approach. In the second stage, internal determinants of the stated efficiency measures are estimated following the system of the generalized method of moments approach. The findings suggest that competition has not resulted in enhancing the efficiency of Indian SCBs. Among factors that can influence efficiency, it is seen that size does matter. Larger banks can enhance the efficiency of SCBs. It is also seen that having more foreign banks improves the overall efficiency of SCBs. However, before embarking on further rounds of licensing, the study posits that market-driven correction to succeed, it is imperative to address sunspots in the form of investor or borrower repression.     

Chinese banking reforms in perspective: towards global alignment or national specificity?

The reforms of the banking sector in China conducted so far have been seeking to accomplish, simultaneously, two conflicting goals. On the one hand, the objective was to prepare Chinese banks for international competition and put them at the pace with the transformations observed in its overall economy. On the other, there is a social-driven agenda concerning employment and regional inequalities. Using principal component analysis, this article explores the impact of the ongoing reforms in the Chinese banking sector on the performance of individual banks. The results show that despite identical regulation, business practices can be dissimilar at the individual level. Taken collectively, the results also show the increasing influence of Western management standards in the Chinese banking sector.     

高端乡村旅游产业与生态环保基础设施协同发展研究——以天津蓟州区为例

在经济新常态下积极推动发展高端乡村旅游产业已经成为我国建设美丽乡村的重要着力点,与此同时"反生态"问题的不断显现已成为阻碍我国乡村旅游经济实现可持续发展的掣肘,因此,高端乡村旅游产业的发展模式向生态化转型势在必行。以天津市蓟州区乡村旅游景区的环保基础设施为研究对象,从环境情况、设施配备和从业人员3个方面确定了20个影响因素,通过向游客发放问卷进行满意度调查,从游客感知角度的基础上采用IPA模型分析游客对景区环保基础设施的重要性和满意度。结果表明,准则层及指标层感知均值都为游后感知实绩(满意度)<游前期望(重要性),在此基础上提出用冲突协同理论来指导蓟州区高端乡村旅游产业发展中的环境管理工作,实现高端乡村旅游产业与环保基础设施的协同发展,也能为今后的相关研究奠定基础。     

海南省旅游业发展对经济增长的拉动效应研究

[目的]海南当前处于国际旅游岛建设和全面建成小康社会的关键时期,旅游业作为海南省的主导产业对海南经济发展的支撑作用显著增强,在此形势下,分析旅游业发展对海南经济增长的拉动效应,有利于为进一步提升旅游业对海南区域经济发展的影响,促进区域经济发展和经济结构转型,提出科学可行的对策和建议。[方法]文章从时间和空间两个维度,运用旅游业依存度、贡献率和拉动率3个指标,以旅游收入与地区生产总值等统计指标为基础,探讨了海南省旅游业对经济增长的拉动效应。[结果]从时间维度来看,海南省旅游业对地区经济增长的拉动作用进一步加大;从空间维度来看,海南省旅游业的拉动效应并不突出;从市(县)域维度来看,海南省各市(县)旅游业对经济增长拉动效应存在空间差异,东部地区拉动效应持续增长,中部地区增长势头迅猛,北部地区增长缓慢。[结论]不断完善海南旅游基础设施与管理体系;要不断细分和规范旅游产品,提升旅游产品的吸引力和复购率,完善营销及咨询服务体系;注意与其他产业的协调发展,加强与周边省份的交流与合作,省内要因地制宜,挖掘各地旅游业发展特色,推动各市(县)均衡发展,以进一步加强海南省旅游支柱产业的作用,并快速实现区域经济跨越式发展。     

互联网金融规制与市场有效性改善*——来自中国网络借贷行业的证据

中国的互联网金融经历了一个先创新发展后监管规制的过程，本文通过对网络借贷行业的实证研究，分析监管规则的出台实施对新型互联网融资市场有效性的影响。实证结果表明，网络借贷平台资金的银行存管、持有ICP证等强制性规定缓解了投资者、平台企业与借款人之间的信息不对称，对克服早期平台间通过竞相承诺高回报率来吸引投资者导致的“柠檬市场”问题、对解决网贷市场上缺乏平台风险性高低有效信号的问题都起到了正向作用，有助于互联网融资市场的有效性提高。