企业竞合行为的演化博弈分析--以我国创意产业为例

近年来,创意产业不仅成为学界关注的热点,也成为政府和企业专注与投资的特点。企业之间竞合行为将直接决定其竞争力,进而影响我国创意产业竞争力与发展方向。本文基于文化创意产业集群内企业间的竞合行为,运用演化博弈的理论方法,建立了核心企业之间的横向对称博弈及核心企业与其相邻下游企业之间的纵向非对称博弈的数理模型,分析了其演变的动态过程。研究结果表明,该系统的演化方向与双方博弈的支付矩阵相关,博弈结果受到合作收益、初始合作成本、独立创新能力、合作成功率、以及双方初始状态等因素的影响,最后给出了相关建议,为整合我国文化产业集群提供了理论依据。     

Economies of scale in the Australian tourism industry

The measurement of economies of scale in the tourism industry has not been done to this point, as tourism is not a specific industry according to international statistical standards. Among many industries related to tourism, four sectors (accommodation, transport, retail trade and recreational services) across six states and two territories from 1997 to 2007 are studied as they contribute nearly 70% of tourism output in Australia. By comparing regression results from the Cobb–Douglas (C–D) production function and the translog production function, we find that there is evidence of increasing returns in transport, retail trade and recreational services at the industry level. However, accommodation is characterized by constant returns to scale at the industry level. As accommodation is responsible for the biggest share of tourism output, this suggests that overall the tourism sector is not characterized by increasing returns. We also find that the degrees of returns to scale from the C–D and translog production functions are different and that the imposition of input share also influences the empirical results. Both of these factors stress the importance of model specification to the measurement of economies of scale.     

Preferential trade agreements and manufactured goods exports: does it matter whom you PTA with?

This article explores two questions. First, do preferential trade agreements (PTAs) affect manufactured goods exports of developing countries? Second, does it matter for developing countries whom they sign the PTAs with? We find that the answer to both questions is yes. Using bilateral manufactured goods exports data from 28 developing countries during 1978–2005; we find that South–South PTAs have a significantly positive effect on manufactured goods exports. In contrast, no such effect is detected in the case of South–North PTAs. We confirmed the robustness of these findings to estimation methodology, sample selection, time period, zero trade flows and multilateral trade resistance.     

An empirical study of collaborative partnering among enterprises and government organizations for information system outsourcing

Most researches on information systems (IS) outsourcing indicate that public sector decides to outsource information technology (IT) services due to the belief that private vendors offer more cost advantages. This research explores government sectors of outsourcing and focus on the role of relationship for IS-service providers. Quantitative data of 126 questionnaires and 30 IS demonstrate that trust, mutual dependence, equipment investment and information sharing are contributing factors to successful outsourcing long-term partnerships. Information sharing between the service receiver and provider is also vital in terms of equipment investment in long-term partnerships, and is affected by the level of trust that each party holds for the other within the outsourcing process. Conceptual model is useful in explicating important government-business partnering strategies – the model highlights not only the economic benefits that the IS-outsourcing relationship brings based on social exchange theory characteristics, but also suggests many additional relevant elements.     

Estimating gravity equation models in the presence of sample selection and heteroscedasticity

Gravity models are widely used to explain patterns of trade. However, two stylized features of trade data, sample selection and heteroscedasticity challenge the estimation of gravity models. We propose a two-step method of moments (TS-MM) estimator that deals with both issues. The Monte-Carlo experiments show that the TS-MM estimates are resistant to various combinations of sample selection and heteroscedasticity. Moreover, the TS-MM estimator performs reasonably well even when the data generating process deviates from the TS-MM assumptions. We revisit the world trade in 1990 to illustrate the usefulness of the proposed model, with emphasis on the identification of the extensive margin of trade.     

中国区域经济重心漂移与均衡化走势

调整国土空间结构是优化要素配置、促进区域协调的重要途径。本文运用重心模型和重心分解模型对中国区域经济重心的演化进行了分析与验证。结果表明：2003年和2004年是中国区域经济空间格局演变的转折时期,在此之后中国区域经济重心走向均衡化。在驱动机制上,2003年之后政府干预的作用趋于减弱,人力资本成为驱动经济重心向中西部漂移的新力量。在演化力度与演化次序上,固定资产投资、GDP、进出口总额和消费重心构成了雁阵漂移模式。     

Data-based mechanistic modelling and forecasting globally averaged surface temperature

The main objective of this paper it to model the dynamic relationship between global averaged measures of Total Radiative Forcing (RTF) and surface temperature, measured by the Global Temperature Anomaly (GTA), and then use this model to forecast the GTA. The analysis utilizes the Data-Based Mechanistic (DBM) approach to the modelling and forecasting where, in this application, the unobserved component model includes a novel hybrid Box-Jenkins stochastic model in which the relationship between RTF and GTA is based on a continuous time transfer function (differential equation) model. This model then provides the basis for short term, inter-annual to decadal, forecasting of the GTA, using a transfer function form of the Kalman Filter, which produces a good prediction of the ‘pause’ or ‘levelling’ in the temperature rise over the period 2000 to 2011. This derives in part from the effects of a quasi-periodic component that is modelled and forecast by a Dynamic Harmonic Regression (DHR) relationship and is shown to be correlated with the Atlantic Multidecadal Oscillation (AMO) index.     

The effect of external supply knowledge acquisition,development activities and organizational status on the supply performance of SMEs

Given the increasingly strategic role of external resources, acquiring knowledge about current suppliers and the broader supply market is an important and demanding task for the purchasing and supply management (PSM) function of a firm. Performance-improvement-oriented application of external supply knowledge present further challenges for the function. To examine this, we draw on the knowledge-based view and develop a hypothesized model in which supply knowledge acquisition drives PSM exploration and exploitation orientations which in turn mediate the organizational status of PSM function in terms of supply performance. We test the model on an SME-focused and survey-based dataset, using structural equation modelling. Our results indicate that an exploitative orientation is associated with knowledge gained from the supply base, whereas an explorative orientation is predominantly associated with supply market knowledge and less with supply base knowledge, suggesting natural pairings. The findings also show how an exploitative development orientation mediates the positive association of the PSM function's organizational status with supply performance. Driven by supply base knowledge, a status-empowered exploitative PSM orientation may suppress supply market based explorative orientation in resource-scarce SMEs, thus appearing to serve as the sole path to supply performance. Our research contributes by pointing out the significance of the knowledge-resource, and the knowledge-based view, in understanding performance in PSM.     

Assessment of Consumer Behavior Towards Environmental Responsibility: A Structural Equations Modeling Approach

This paper analyses the factors impacting consumer environmental responsibility using a structural equation modeling approach. Consumer environmental responsibility is the intention of a person to act towards remediation of environmental problems not as an individual user with economic interests but as a responsible citizen having concerns about the social and environmental wellbeing of society. Therefore, awareness of environmental problems and knowledge of remedial alternatives will help individuals to pursue their chosen action and bolster a genuine desire to act and determine the measures for alleviation of environmental challenges. The four dimensions of an environmentally responsible consumer – opinion and beliefs, willingness, awareness, and an ability to act – are analysed. During the analysis, the dimension of ‘ability to move’ is found to be critical, because it has a direct influence on the capacity of the consumer to act. This research is intended to guide policy‐ and decision‐makers of regulatory bodies in understanding consumer behavior towards improving environmental performance index. It also helps organizational managers to make their supply chains green, and competitive, which in turn improves brand image and overall organizational performance. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Factors driving embodied carbon in international trade: a multiregional input–output gravity model

ABSTRACT

Concerns about the effects and consequences of climate change have notably increased in recent decades. Despite large advances in the understanding of this phenomenon, further research into the determinants of gas emissions is necessary, to shed light on the responsibilities of producers and consumers, and their potential contribution to mitigation strategies. This paper studies the trajectories and determinants of carbon embodied in world trade during a period of 15 years. Our methodology relies on a multiregional input–output model, environmentally extended. Drawing on data from the World Input–Output Database, we estimate embodied emissions in bilateral flows. Then, we assess the determinants of CO₂ emissions embodied in trade, combining input–output modelling with trade gravity panel data analysis. This paper offers a methodological approach that explains and quantifies the underlying factors of carbon trade, integrating the production and consumption perspectives and considering the geographical, structural and institutional context of countries.