广西中期工业化纵深发展的战略思考

2011年,广西经济总量突破万亿,进入中期工业化阶段。接下来广西应该走怎样的工业化道路,是需要认真思考的问题。文章通过构建TCI指数,指出广西目前的重型化工业道路是一条不能实现经济可持续发展的道路。广西的工业发展需要走一条最优工业化道路,即按照广西的要素禀赋结构,选择最优工业技术水平,使企业具有自生能力,以最快的速度实现资本积累、技术进步和产业升级。     

城市家庭住房不平等:户籍、禀赋还是城市特征？——基于广义有序模型与Oaxaca-Blinder分解

基于中国劳动力动态调查（CLDS）数据，运用广义有序Logit模型实证分析户籍、家庭禀赋和城市特征三类因素对城市家庭住房不平等的影响；运用夏普利值分解、Oaxaca-Blinder分解区分"努力"和"环境"因素、户籍歧视和禀赋效应的贡献。研究发现：户籍可解释住房等级不平等的54.2%；"努力"因素对住房水平起正向作用；在户籍间住房等级不平等中户籍歧视效应占主导，在住房面积不平等中禀赋效应占主导，外地户口居民住房水平低源于"环境"因素趋弱，农业户口居民则源于"努力"和"环境"因素叠加趋弱；由于生活成本效应占主导，城市规模和流动人口占比越大，居民住房等级趋低，而城市土地供给增长有助于提升住房水平。     

A toolbox for garden governance

A substantial fraction of the open space in (peri-) urban and rural areas is covered by domestic gardens which support the delivery of multiple ecosystem services. Although individually they may look insignificant, the aggregation of domestic gardens and of gardening actions can be significant. Referring to ‘the tyranny of small decisions’, we launch the concept of a ‘resource by small gardening actions’: the positive cumulative outcome of individual garden owners adopting pro-environmental gardening practices. Using qualitative research, we gained a thorough insight into the barriers and levers related to the development of domestic gardens as a ‘resource by small gardening actions’. By combining the data from expert interviews with a design workshop addressing garden and landscape architects, and focus groups with private garden owners, we identified eight barriers and nine levers. These levers are part of a ‘mix and match’ toolbox, allowing the development of tailor-made strategies for garden governance. These insights increase the understanding on if and how private actors and their properties could become part of policy plans to support ecosystem services. This adds to the global understanding of the strategic value of daily-life landscapes that exist all over the world.     

资源配置视角下战略性新兴产业基地建设决策过程研究

采用案例分析法，以国家传感网创新示范区建设的决策过程为研究对象，从资源配置视角重新审视了战略性新兴产业基地建设的决策过程。结果表明，在战略性新兴产业基地建设决策过程中，地方政府充分发挥了主观能动性，与中央政府、科研机构及企业积极互动，获得了建设产业基地的资源。同时，中央政府完成了与产业基地甄选及部署相关的资源配置。     

Financial openness and Chinese regional growth imbalance: New insight from spatial spillovers

This paper uses spatial panel methods and Chinese provincial data from 2003 to 2017 to study the spatial spillovers of financial openness on economic growth. The results show, first, a positive direct effect and an overall negative spatial spillover of financial openness on provincial growth. Second, there are two spatial spillover channels: a positive growth externality and a harmful resource competition among provinces. Third, we estimate the state dependence and dynamics of spatial spillover, and find that the negative spatial spillover is smaller in provinces with high levels of financial openness and in the long term; thus, the negative spatial spillover declined over time. These results are robust to the choice of SDM and GNS spatial econometrics methods and under different spatial weight matrices.     

农业创业情境下商业模式设计的影响机制研究——基于模糊集定性比较分析

农业创业者如何通过整合与管理资源与能力，设计新颖型商业模式创造更多价值，是实现乡村振兴战略的关键措施。文章基于资源编排、商业模式理论，以央视《致富经》栏目40个案例为样本，运用模糊集定性比较分析（fsQCA）方法，剖析资源编排、机会能力、创业学习所构成的前因变量组态对农业创业活动中商业模式设计的影响机制。研究发现，资源编排在农业创业活动中发挥不可或缺的关键作用；相较于资源结构化和资源捆绑，资源利用在新颖型商业模式设计中的作用更为突出；机会能力须与资源编排共同作用，方可实现新颖型商业模式设计；在资源编排作用缺乏时，创业学习的发挥有助于新颖型商业模式设计的形成。研究成果诠释了农业创业情境下资源编排、机会能力与创业学习对商业模式设计的影响机制，为开展农业创业活动提供指导。     

FIPIA with information entropy: A new hybrid method to assess airline service quality

This study proposes “FIPIA with information entropy” as a new, hybrid method to assess airline service quality by identifying the most important priorities for airline passengers and producing recommendations to airline management for optimal resource allocation to improve service quality and customer satisfaction. The proposed method is an improvement over IPA, IPIA and FIPA methods, through the introduction of information entropy and fuzzy logic to the analysis of importance, performance and impact dimensions of airline service quality to improve interpretability and actionability of analysis results. This study also offers airline managers a list of what they should improve in resource allocation in order to increase service quality considering customer satisfaction and create value by managing the relational capital more effectively. The new hybrid method was field-tested by administering a 26-item questionnaire to passengers of a major airline operator, analyzing the responses using the Importance-Performance-Impact Analysis (IPIA) method, fuzzy logic and information entropy. The analysis revealed four main dimensions of airline service quality, namely reliability, assurance, tangibles, empathy and responsiveness with 17 constituent attributes. The case study revealed that (1) resource allocation was adequate only on four attributes; (2) seven service quality attributes were identified as needing further management focus on resource allocation; (3) six service quality attributes received more resources than necessary which should be shifted to other attributes; (4) dimensions of reliability and tangibles needed more focus than others. The proposed hybrid method of FIPIA with information entropy can be employed for any industry where service quality depends on multiple attributes.     

Customer and Supplier Portfolios: Can Credit Risks be Managed Through Supply Chain Relationships?

While supply chain risk has been the subject of an ever‐increasing amount of research attention, the importance of credit risk has been less studied, at least by supply chain researchers. Yet, there may be risks inherent within a firm's portfolios of supply chain relationships that are manifested in the credit risk of a firm. Moreover, portfolio characteristics may serve as a signal to the external market regarding these risks. While customer and supplier portfolio characteristics may impact the firm's exposure to risks, the specific issue of how portfolio characteristics relate to credit risk has rarely been examined by supply chain scholars. This research bridges extant works in supply chain management and finance to relate supply chain characteristics to a critical reputational outcome, namely credit ratings. In this research, we utilize a sample of firms that recently underwent an initial public offering to empirically examine the theoretical predictions of Resource Dependence Theory regarding the relationships between different supply chain portfolio characteristics and credit risk.     

Is green growth relevant for poor economies?

To be relevant to developing countries, green growth must be reconciled with the two key structural features of natural resource use and poverty in these countries. First, primary products account for the majority of their export earnings, and they are unable to diversify from primary production. Second, many economies have a substantial share of their rural population located on less favored agricultural land and in remote areas, thus encouraging “geographic” poverty traps. If green growth is to be a catalyst for economy-wide transformation and poverty alleviation in developing countries, then it must be accompanied by policies aimed directly at overcoming these two structural features. Policies and reforms should foster forward and backward linkages of primary production, enhance its integration with the rest of the economy, and improve opportunities for innovation and knowledge spillovers. Rural poverty, especially the persistent concentration of the rural poor on less favored agricultural lands and in remote areas, needs to be addressed by additional targeted policies and investments, and where necessary, policies to promote rural-urban migration.     

Designing awareness campaigns to counter human trafficking: An analytic approach

Human trafficking – the trade of persons for the gain of others – is a pervasive societal issue. Ongoing trafficking recruitment calls for targeted prevention strategies for individuals and communities at risk. Awareness campaigns, arguably the most common form of trafficking prevention, are intended to alert individuals to the tactics used by traffickers and provide them with practical strategies to avoid deception and exploitation. However there is a shortage of technical solutions regarding the analysis, impact assessment, and evaluation of alternatives related to implementing awareness campaigns. We present a resource allocation model that can be used to determine the allocation of funds that maximizes increases in trafficking awareness among at-risk populations. We apply this model to determine the allocation of a limited budget among different types of prevention programs in at-risk populations in Nepal. For each awareness campaign, we estimate a production function that relates the amount invested to the associated change in awareness. When allocating limited resources, decision makers must balance competing interests, and we illustrate the impact of three allocation policies on trafficking awareness. The model presented in this article is a first attempt to help decision makers evaluate how to allocate funds in the context of trafficking awareness.