Research notes and communications corporate restructuring and strategic change: The effect on diversification strategy and R & D intensity

In the 1980s a number of large corporations restructured their diversified businesses through divestitures. It is hypothesized that restructuring activity focused on firms at intermediate levels of diversification (e.g., related-linked) which have a mixture of related and unrelated business units. Results confirm this hypothesis which explains that such mixed corporate strategies create organizational and control inefficiencies in managing both related and unrelated types of business units. Restructured firms were also found to move towards two types of different internal capital markets (related and unrelated). Most restructuring firms moved toward lower levels of diversification (e.g., related-constrained), although some moved toward higher levels of diversification (e.g., unrelated business). Also, this study finds restructuring firms that changed their corporate strategy by reducing diversified scope increased their R&D intensity. Firms that restructured and increased their diversified scope decreased R&D intensity. This result suggested a partial substitution between diversification and R&D activity.     

激励性规制的强度分析

网络型产业中存在的信息不对称使规制契约的存在成为必然。现实经济活动中之所以要设计和采用不同强度的激励性规制,主要是由于没有哪种规制机制能够解决所有问题。在理论综述的基础上,借鉴前人的研究,分析了网络型产业的激励性规制模型中的激励强度与激励绩效的关系,并指出其在实践中的应用以及对我国的借鉴。     

开放条件下的贵州工业结构升级

工业化过程不仅涵盖了工业产值不断提高并最终在国民经济中占主导地位,还应该实现工业结构的不断升级.1997年至2004年期间,贵州工业结构在轻重工业比例、结构高度化和生产要素密集度等方面有所升级但仍存在一些偏差.在未来开放条件下贵州促进工业结构升级应注意避免结构低度化,创造和提供合适的市场空间,正确处理技术引进与自主开发的关系,发挥比较优势以及规范政府职能等问题.     

数字经济对我国碳排放的影响研究

基于2013-2020年的30个省份数据构建面板数据模型,从碳排放总量和碳排放强度两个视角研究数字经济发展对区域碳排放的影响。研究发现：数字经济的发展有效地降低了人均碳排放量、碳排放增量与碳排放增速,数字经济与碳排放强度之间存在倒“U”形关系,数字经济与碳排放强度、边际碳排放强度的关系呈现区域性特征,在省域层面数字经济对边际碳排放强度的影响不存在明显的空间效应,数字经济对碳排放增长率的影响存在基于产业结构优化、人口集聚、城镇化的遮掩效应。     

基于哈肯模型的高技术产业化过程机制研究

运用自组织理论和方法,在哈肯模型的基础上建立了高技术产业化过程的演化方程,并以北京、天津、上海、河北等29个省市为样本进行了定量化的实证研究。结果表明,研究开发投入强度是高技术产业化过程中的序参量,从而得出要依靠研究开发投入与高科技成果转化的协同作用促进高技术产业快速发展这一结论。     

中国保险业的合谋倾向强度:一个理论分析框架

从结构、需求与信息三个维度构建了一个产业合谋倾向强度理论分析框架，并用该框架分析了我国保险业的合谋强度。研究认为，我国保险业合谋强度比较大。     

Uncertainty and sustainability in the management of rangelands

We analyze a dynamic and stochastic ecological-economic model of grazing management in semi-arid rangelands. The ecosystem is driven by stochastic precipitation. A risk averse farmer chooses a grazing management strategy under uncertainty such as to maximize expected utility from farming income. Grazing management strategies are rules about which share of the rangeland is given rest depending on the actual rainfall in that year. In a first step we determine a myopic farmer's optimal grazing management strategy and show that a risk averse farmer chooses a strategy such as to obtain insurance from the ecosystem: the optimal strategy reduces income variability, but yields less mean income than possible. In a second step we analyze the long-run ecological and economic impact of different strategies. We conclude that a myopic farmer, if he is sufficiently risk averse, will choose a sustainable grazing management strategy, even if he does not take into account long-term ecological and economic benefits of conservative strategies.     

Total Factor Productivity and Energy Intensity: An Empirical Study of China’s Cement Industry

China is the largest cement producer and consumer in the world. The cement industry’s rapid growth has led to a large demand of energy. This study reviews China’s cement industry in terms of energy intensity and examines the effects of technological progress on energy intensity. It also discusses the feasibility of achieving China’s energy reduction targets. We employ the Granger causality test and find that the total factor productivity or technological progress causes the energy intensity of the cement industry. Impulse responses analysis also proves that in the long run the technological change contributes to the decline in energy intensity of cement production.     

Diversification and sophistication of livestock products: The case of African countries

This study assesses the level of sophistication of livestock products in Africa by evaluating technology intensity and economic complexity of each product. Using trade data from 1995 to 2012, livestock commodity exports are classified based on technology intensity. Employing a method of reflection in computing the economic complexity of export products, we find that one fifth of African livestock commodity exports are manufactured with low technology while the rest is composed of raw materials. The results also show that the ten most complex livestock commodities represent about a third of African livestock total exports while the world level is almost double this figure. Yet African countries spend a huge share of their wealth on importing complex products. The results imply that by exporting non-complex products Africa loses nearly a third of the total value of its livestock exports. To boost the value of livestock products, African countries should exploit their untapped potential while securing the domestic market to achieve import substitution. This can be done by integrating with global value chains or developing niche markets at the regional or international markets and improving productive capabilities.     

Cox Point Processes: Why One Realisation Is Not Enough

We review a rich class of point process models, Cox point processes, and illustrate the necessity of more than one observation (point patterns) in performing parameter estimation. Furthermore, we introduce a new Cox point process model by treating the intensity function of the underlying Poisson point process as a random mixture of normal components. The behaviour and performance of the new model are compared with those of popular Cox point process models. The new model is exemplified with an application that involves a single point pattern corresponding to earthquake events in California, USA.