Research on the impact of mega-projects on carrying capacity of cities taking the first-line project of the West-East gas pipeline as an example

With the acceleration of China’s urbanization, the functions and benefits of mega-projects are required higher. With the deepening of “the Silk Road Economic Belt and the 21st-Century Maritime Silk Road”, the quantitative evaluation of multinational investment projects will help strengthen cross-border communication among government, society and enterprises, which provide a basis for mutual trust. This study empirically analyzes and evaluates the impact of mega-projects on carrying capacity of cities, by using the DID method based on the panel data of 15 cities in China from 2000 to 2013. The results show that the construction and operation of the first-line project of the West-East gas pipeline has a significant positive impact on the improvement of carrying capacity of cities along the line. However, the degree of impact on three dimensions is slightly different. The impact on the social carrying capacity is the greatest, then the ecological and economic carrying capacity. Therefore, the decisions of domestic mega-projects should be unified with urban planning to promote the sustainable development of China’s economy and social. The investment of mega-projects abroad should also be coordinated with the carrying capacity of host cities, in order to enhance the competitiveness and creativity of Chinese multinational mega-projects investment.     

Comparative performances of measures of consumer and economic sentiment in forecasting consumption: a multi-country analysis

ABSTRACT

This paper seeks to compare the capabilities of assorted measures of consumer and economic sentiment in predicting the growth of household expenditure. An analysis of quarterly data on five European countries shows that for none of these can the model which incorporates the EU’s headline consumer confidence indicator be deemed to be significantly inferior to any of its seven rivals. However, the rankings of the sentiment variables are seen to be influenced by: the proportion of total spending by households that is devoted to durable goods; and the nature of the behaviour of consumption over the forecast interval.     

Defining and Defending a Progressive Market Square: Bringing Institutionalist Development Discourse in Line with the Reality of Post-Soviet Transition Experiences

Abstract:

This article is a response to two crucial ideas about progressive institutional change: the first is J. Fagg Foster’s principle of “minimal social dislocation,” which asserts that socio-economic changes should be implemented gradually, to avoid unraveling the social fabric of the community; the second is Karl Polanyi’s principles of redistribution of rights and powers by relevant authorities and reciprocity, a symmetrical and highly personalized exchange system, which is likewise a protective mechanism that society employs against anonymity and disintegration brought about by unregulated market. Using lessons learned in the thirty-year transition to market in post-Soviet countries, this article argues that to commence progressive institutional change in the honesty- and transparency-resistant cultures of former Soviet states, impersonal exchange and impartial rule of law must be given far greater weight than personalization of contacts and continuation of cultural traditions.     

A Different Perspective on the Evolution of UK Income Inequality

This paper scrutinizes the conventional wisdom about trends in UK income inequality and also places contemporary inequality in a much longer historical perspective. We combine household survey and income tax data to provide better coverage of all income ranges from the bottom to the very top (and make our estimates available to other researchers). We make a case for studying distributions of income between tax units (i.e. not assuming the full income sharing that goes with the use of the household as the unit of analysis) for reasons of principle as well as data harmonization. We present evidence that income inequality in the UK is as least as high today as it was just before the start of World War 2.     

Robust scheduling for large scale evacuation planning

It is crucial to develop appropriate strategies to reduce the evacuation time in a disaster situation. The negative impact of large scale disasters can be mitigated by proactive and efficient (time optimal) evacuation planning. The present study aims to develop strategies for public transit-based evacuation for better control and reduced congestion. Mathematical models are formulated for both strategic and operational aspects of evacuation planning to result in efficient, optimal evacuation. The study also presents methods to manage the external environment uncertainties, in particular, evacuation demand uncertainty, by providing robust solutions. To test the efficacy of the models, a case study for a radiological accident in a nuclear plant in India is presented. The results of the case study demonstrate that the models can provide live, efficient and robust results during actual emergencies in acceptable time.     

Planning the delivery of relief supplies upon the occurrence of a natural disaster while considering the assembly process of the relief kits

Models for the distribution of relief supplies often assume immediate availability of relief items upon the occurrence of a natural disaster. However, such an assumption does not always apply in realistic settings. In some cases, at least it is necessary to assemble relief items into kits before distributing them among the affected population. This paper presents a rolling horizon methodology that considers dynamic parameters such as demand, capacities and demand priorities for the problem of distributing relief supplies after the occurrence of a natural disaster by including such assembling activities before the delivery.     

Enhanced network effects and stochastic modelling in generation expansion planning: Insights from an insular power system

Electricity generation capacity expansion is driven by both economic and socio-political realities. Policy makers determine public infrastructural decisions, such as climate and renewable targets, and transmission infrastructure, and the optimal generation capacity expansion follows. Policy makers therefore require planning models that can determine the optimal generation capacity mix in the long run under various scenarios, including policy choices. This work presents a planning model based on linearised alternating current optimal power flow which determines optimal generation capacity expansion and operation, in a least-cost manner, given global and local technical constraints, as well as policy decisions. We apply the model to a test case of the island of Ireland, which has two weakly interconnected systems, high renewable generation targets and low storage and interconnection. We determine the optimal generation expansion and operation out to 2030 considering the effects of increased multi-area interconnection, existing fossil fuel generation phase-out and increased renewable generation targets and carbon prices. Our results find that costs and emissions are driven primarily by the decommissioning of old inefficient generation units. High renewable targets, on the other hand, render increased carbon prices relatively ineffective in reducing system emissions. Furthermore, high renewable generation targets crowd out low-carbon power generation options such as carbon capture and storage (CCS). The strategic north-south interconnection has little effect on renewable energy source installations required to achieve renewable power generation targets but does impact on security of supply and the congestion level across the island.     

Economic forecasting with evolved confidence indicators

We present a machine-learning method for sentiment indicators construction that allows an automated variable selection procedure. By means of genetic programming, we generate country-specific business and consumer confidence indicators for thirteen European economies. The algorithm finds non-linear combinations of qualitative survey expectations that yield estimates of the expected rate of economic growth. Firms’ production expectations and consumers’ expectations to spend on home improvements are the most frequently selected variables – both lagged and contemporaneous. To assess the performance of the proposed approach, we have designed an out-of-sample iterative predictive experiment. We found that forecasts generated with the evolved indicators outperform those obtained with time series models. These results show the potential of the methodology as a predictive tool. Furthermore, the proposed indicators are easy to implement and help to monitor the evolution of the economy, both from demand and supply sides.     

省级区域规划实施评估方法和机制探究

省级区域规划是国家和地方发展和空间规划体系中的重要组成部分。在我国建立更加有效的区域协调发展新机制的实践中,探究我国省级区域规划实施评估中存在的问题,研究和建立更加有效的省级区域规划实施评估的内容、方法和机制,对于进一步落实好省级政府的责任和义务,更好全面、有效实施好省级区域规划具有重要推动作用。文章提出了我国省级区域规划实施评估存在的问题、评估的方法、评估的内容和指标体系,并提出了具体建立更加有效的省级区域规划实施评估机制的建议和设想。     

CEO age and tax planning

This study investigates the association between CEO age and corporate tax planning. Using a sample of 11,537 firm‐year observations from the fiscal year 1997–2013, I find CEO age exerts an economically significant influence on firms’ tax policies, incremental to economic determinants identified in prior research. Specifically, CEO age is positively related to cash and GAAP effective tax rates, and negatively related to permanent book‐tax difference, suggesting that older CEOs are less likely to take actions to lower tax burden. The results hold across different model specifications and robustness tests to address potential bias arising from endogeneity, sample selection issue, and the confounding effect of CEO tenure.