Local economic structure,regional competition and the formation of industrial land price in China: Combining evidence from process tracing with quantitative results

The price of industrial land in China has been found distorted and remarkably low. However, it is overlooked that industrial land price is relatively high in some regions. This local variation cannot be explained by classical theories on land price that focus on local economic level, population density, and location factors. We propose a theoretical framework incorporating local economic structure and governments’ behavior in regional competition, to interpret the formation of industrial land price in China. We first model local firms as foot-tight ones, whose relocation costs are enormous, and outside firms as foot-loose ones, whose relocation costs are negligible. Then we divide local governments as outside-capital-dependent governments (OCDGs) and non-outside-capital-dependent governments (NOCDGs) according to the role of outside capital in local economic structure. In such a setting, OCDGs are supposed to aggressively pursue outside firms and use industrial land as a critical endowment to engage in race-to-bottom competition, making the price extremely low. On the contrary, the optimal strategy for NOCDGs, who lack strong incentives in attracting outside investment, is to stay aside and let potential land users compete to determine the land price, resulting in a higher land price. Evidence from quantitative results and comparative case studies with process tracing based on Suzhou and Wenzhou together prove the validity of this theory. This paper advances the conventional understanding of industrial land price and concludes with implications on industrial land policies and sustainable development.     

Second wind for exploitation: Pursuing high degrees of product and process innovativeness in mature industries

This paper investigates to what extent and how an exploitation-oriented innovation logic can enable innovations characterised by a high degree of newness. The paper is based on an embedded case study of 11 innovation initiatives by the Swedish pulp and paper companies and uses a multi-dimensional framework that takes into account both product and process innovation dimensions as well as multiple stages in the value chain. The results show that the studied initiatives are characterised by new to the companies or new to the industry products and processes in the primary or final steps in the value chain (or both). It is also shown that such high degrees of novelty can be the result of an exploitation innovation logic, where novelty is enabled and facilitated by unchanged or slightly modified products and processes in other parts of the value chain. It can therefore be concluded that exploitation strategies can contribute to more than incremental innovation outcomes and, consequently, that mature industries hold considerably higher innovation potential than the previous literature assumes.     

基于MLP的绿色技术创新过程管理研究

多层次视角（Multi-level perspective,MLP）是将演化经济学与技术研究相结合分析新技术市场化问题的工具。基于MLP分析绿色技术创新过程阶段划分,运用社会网络分析法、模糊德尔菲法和模糊一致偏好关系对创新阶段进行识别。最后,以3D打印技术为例,验证基于MLP的绿色技术创新过程研究的科学性。结果表明：绿色技术创新过程可以划分为技术生态位、技术政体和社会技术地景3个阶段;技术政体可以分为技术政体的引入、构建和成熟3个时期。     

企业预见:概念解析与过程机理

企业预见作为一个新研究领域,仍存在理论基础薄弱、概念内涵与过程机理不清等问题。在总结企业预见概念内涵的基础上,将企业预见区分为吸引性预见和可行性预见双元结构,阐述开放性、持续性、系统性、有限理性4个预见特征。基于组织与情境协同适应视角建立情境建构、战略选择、协同反应三阶段预见过程模型以及涵盖8个步骤的基本流程,最后提出企业预见未来研究建议,以期推进企业预见概念内涵统一,为企业预见研究提供思路和线索,促进企业预见研究发展。     

我国科技型企业成长性评价体系研究——以科技型中型企业为例

科技型企业发展的关键是解决融资问题。现阶段我国银行贷款在科技型企业融资中起着关键作用,但银行传统信用评估体系并不适用于科技型企业,不能有效解决信息不对称问题,必须构建科学的科技型企业成长性评价体系。该体系分为战略管理、研发创新、市场开拓、资本运营、价值创造和社会支持6个一级指标,58个二级指标,各指标通过不同方法进行无量纲化和赋权。该体系的建立为评价科技型企业成长性、促进银行科技金融发展搭建了基础平台。     

新形势下风险导向型外汇管理内部审计指标体系研究

需求收缩、供给冲击、预期转弱是当前我国经济发展面临的“三重压力”。本文识别梳理“三重压力”下外汇管理面临的新风险、新挑战,基于应对风险挑战对外汇管理内部审计体系进行再审视,明确内部审计应对“三重压力”的原则和路径。在此基础上,运用层次分析法构建新形势下基于风险导向的外汇管理内部审计指标体系,梳理审计实践中需要关注的重点并提出建立完善审计操作指引、增强审计结果运用等政策建议。     

Ecotourism branding in protected areas of Iran: Using an efficient hybrid multi-criteria decision-making method model

Ecotourism, as a nature-based sustainable tourism, raises awareness about the protection of natural and cultural landscape values. This study aims to determine the ecotourism criteria to develop strategies for a sustainable ecotourism branding in Golestan, located in the northeast of Iran. To reach this aim, Strengths-Weaknesses-Opportunities-Threats (SWOT) analysis, multi-criteria decision-making methods consisting of Analytic Hierarchy Process (AHP), and Best and Worst Method (BWM) were integrated. The most appropriate ecotourism strategies for the branding of the study area were ranked according to their priorities. The results of this study reveal that among the 5 main and 20 sub ecotourism criteria, “having natural protected areas,” which is an opportunity, and “having ecological values,” which is a strength, were determined as the highest priority strategies for ecotourism branding. The methods and results of this quantitative-based research present an exemplary hybrid model that prioritizes the strategies required for branding ecotourism in similar protected areas.