减排与增长:服务业如何实现绿色均衡发展?

服务业是中国经济转型和产业结构升级的重要抓手,在资源与环境"双重"约束日益趋紧的背景下,有必要研究服务业绿色发展问题。能否在减排成本最小的前提下提高服务业增长率,走出一条绿色发展路径?为此,文章创新性地将排放权交易市场引入服务业部门,采用方向性距离函数、非线性规划等实证研究方法测算2004-2012年中国服务业14个细分行业的绿色效率和碳排放影子价格。研究表明:中国服务业发展方式并非"绿色",服务业减排成本和碳排放量逐年增长,减排面临巨大的经济压力;在文章设计的排放权交易模型下,服务业细分行业能够形成一个统一的影子价格,从而实现一条绿色发展路径,该路径满足帕累托有效和投入产出技术有效;在均衡路径上,流通服务业应出售排放权,而其他减排成本较高的服务业购买排放权。     

对外直接投资逆向技术溢出的行业内与行业间路径检验——基于对空间计量方法的嫁接

创造性地对空间计量经济学中的空间相关性思想进行嫁接利用,在思路方法上进行开拓,构建反映同行业内企业间相互联系与各行业间相互关联的空间权重矩阵,建立空间杜宾模型,并以制造业为例,对ODI逆向技术溢出效应的行业内和行业间路径进行实证检验。对行业内路径的检验表明,企业全要素生产率受到同行业内其它企业ODI活动的影响,行业内企业通过ODI促进自身技术进步之后,又通过企业间各种竞争合作关系促进同行业其它企业生产率提高,行业内路径由此得以验证。对行业间路径的检验表明,各行业通过ODI促进本行业技术进步之后,又通过行业间前向与后向产业关联,对其它关联行业的技术进步和生产率提高起到促进作用,且产业完全关联下的促进作用大于直接关联,由此行业间路径得以验证。     

基于联盟的数字产业技术标准国际化路径研究——以昕诺飞为例

数字产业具有前沿性、复杂性和高度不确定性,技术标准国际化是数字产业保持全球竞争力的重要举措。采用纵向单案例研究法,以昕诺飞为研究对象,探索企业推进技术标准国际化的路径及机制。结果表明,昕诺飞实现技术标准国际化的主要路径是基于自主研发或收购专利组建标准联盟或专利联盟并制定发布联盟标准,进而将其转化为国际标准、目标国国家标准和团体标准;企业可基于标准开展相应认证检测,形成“联盟+标准+专利+认证检测”的闭环,实现“技术专利化—专利标准化—标准国际化—市场垄断化”的良性循环,以维持企业长期竞争优势;推进技术标准国际化的关键在于组建联盟,我国数字产业可通过“标准联盟+专利联盟”的双联盟策略,形成核心层稳固的开放式战略联盟,通过构建共生演化生态系统推进技术标准国际化。     

数字赋能企业商业生态系统跃迁升级的机理及路径研究

数字技术应用融合叠加商业模式创新催生商业生态新业态,实现跃迁升级。本文结合扎根理论与模糊集定性比较分析(FsQCA)方法,阐释数字赋能企业商业生态系统跃迁升级的机理,探究多重组态路径。从生态视角揭示了数字资源通过与传统要素资源融合释放数据价值,并驱动形成价值循环体系、实现价值共创、塑造商业群落,最终实现企业商业生态系统跃迁升级。基于FsQCA的多组态分析发现,数字赋能企业商业生态系统跃迁升级历经两个阶段分别为价值共创和商业群落生成。其中,价值共创实现有两条组态路径,即产品创新与要素融合相组合,技术融合同低产品创新、低数据资产相组合,且产品创新构成了价值共创的核心条件。商业群落生成的组态路径表现出以下特征：价值共创和价值链接协同下分别和网络组织、数据赋能相组合,网络组织和数据赋能互为替代,即在一方缺失时,分别与价值共创或价值链接组合实现商业群落构建。本研究为企业商业生态系统的结构与功能持续优化,实现数字商业生态资源的充分共享及最优利用,提供了关键方法和思路。     

乡村集体经济发展的全面振兴价值与实践途径——以福建省南安市蓉中村为例

乡村振兴是时代的使命,乡村振兴的基础是经济的振兴,关键是新时代理念下的集体经济发展。只有集体经济发展了,才能充分体现社会主义农村经济制度的优越性,适应乡村全面振兴的要求,为乡村基层组织提高引领力、组织力和战斗力奠定基础;为乡村经济、政治、文化与环境全面协调发展提供支撑,为乡村居民实现美好生活建立基本保障。而乡村集体经济发展的重要途径在于始终坚持习近平总书记提出的具有普遍指导意义的"晋江经验";在于坚持因地制宜地选择产业、依托龙头企业,在城乡统筹中走抱团发展之路;在于坚持辩证统一观念下的"口袋"与"脑袋"、经济与社会、内涵发展与外在协作的协调与推动。     

Functional Itô calculus†

We extend some results of the Itô calculus to functionals of the current path of a process to reflect the fact that often the impact of randomness is cumulative and depends on the history of the process, not merely on its current value. We express the differential of the functional in terms of adequately defined partial derivatives to obtain an Itô formula. We develop an extension of the Feynman-Kac formula to the functional case and an explicit expression of the integrand in the Martingale Representation Theorem. We establish that under certain conditions, even path dependent options prices satisfy a partial differential equation in a local sense. We exploit this fact to find an expression of the price difference between two models and compute variational derivatives with respect to the volatility surface.     

家族企业代际传递促进了企业创新吗？ ——来自创业板市场的经验证据

摘要：家族企业代际传承究竟会给企业创新带来什么样影响是一个重要且仍具争议的话题。本文试图从人力资本视角，发掘家族企业二代接班者对企业创新行为的重要影响。结果显示：家族企业二代接班者更倾向于激励企业创新行为，这一激励不仅有利于促进企业加大内部研发投入而且还会通过资本运作来实现企业外延式创新，上述研究结论在削弱内生性问题又依旧保持稳健。本文的研究发现为家族企业代际传递与创新问题提供理论验证，对家族企业创新实践和人力资本管理具有一定的启示意义。     

基于标准数据的创新程度提升路径研究

创新程度在资源配置中的作用日趋明显，但目前创新程度常以专利作为测量值。随着标准在产业发展中引导性增强，作为创新重要产出的标准在创新程度提升中的地位日渐凸显。提出一个以标准数据为依据，通过对标准创新程度值的测量，结合国际国内创新程度四分图模型，研究具体领域创新程度提升路径。以信息技术应用领域标准为分析对象，结合国际标准化组织颁布标准和中国标准，确定信息技术在各应用领域创新现状。结果显示：信息技术在办公系统和银行业务两个领域应用的国际国内创新程度都很低，应在完成产业升级后逐渐淘汰；其在健康关怀领域应用的国际发展前景良好但国内创新程度很低，是重点研究领域。随后，对信息技术在健康关怀领域应用的国际和国内标准具体内容进行对比分析，发现中国与国际发展存在差距，并以国际国内创新程度为依据对位于四分图不同区域的信息技术应用领域创新程度提升提出合理建议。     

Food industry structure in Norway and Denmark since the 1990s: Path dependency and institutional trajectories in Nordic food markets

Structural changes in Norwegian and Danish food industry since the 1990s is analysed as a path dependent response to the neo-liberal turn. Norway entered the 1990s as a protected market and Denmark as case of an export oriented industry. These developmental strategies are rooted in early 20th century industrialisation and influenced by institutional transformations in the 1990s, such as EU and WTO. Mergers and acquisitions (M&A) are studied in the context of changing political environments. Explaining two different trajectories, we combine path dependency theories and a Polanyi inspired ‘varieties of capitalism’ framework with corporate strategy theories on food industry M&As. We identify two different types of path dependent development, a self-reinforcing in Denmark and a transformative ‘breaking point’ in Norway.     

The long overhang of bad decisions in agro-industrial development: Sugar and tomato paste in Ghana

In theory, learning from past mistakes should result in adapted and improved development policy. However policy learning can be difficult to achieve, and the link between learning and policy change is neither direct nor immediate. In this study we look at learning in agro-industrial policy in Ghana, by tracing the interest in sugar production and tomato processing over six decades. Specifically we ask why four failed factories established in the early 1960s have continued to play central roles in both policy and public discourse. Using policy documents, academic material, and the popular press, we show that Ghana’s policy focus on sugar production and tomato processing has endured, despite the fact that the factories were misconceived, poorly sited, ill-equipped and poorly managed. Indeed, the political ideas that underpinned the establishment of these factories in the early days of independence can be seen in the current One District, One Factory policy. We suggest that it is their symbolic and political value, not their economic value, which keeps the discussion around these factories alive. Even when shut down, they are a physical manifestation of historic commitments by the state, and as such they guarantee the attention of politicians, and hold out hope of a next re-launch. Unfortunately as long as the factories continue to be incorporated into each new generation of agro-industrial policy, it is difficult for any alternatives to gain traction. This analysis highlights the very long overhang of bad decisions, particularly when they are associated with physical infrastructure. Learning from past mistakes will only happen if the short-term political cost of turning policy learning into policy action can be overcome.