Evaluating Performance and Elucidating the Mechanisms of Collaborative Development within the Beijing–Tianjin–Hebei Region, China

Abstract

Elucidating the performance of collaborative development within the Beijing Tianjin Hebei (BTH) region and developing an understanding of mechanisms underlying this process are of paramount importance to regional sustainable development as well as for the realization of Chinese national strategy. Thus, utilizing socioeconomic data for 13 districts within the BTH region between 2000 and 2014, this study applies the Gini coefficient alongside the technique for order preference by similarity to an ideal solution (TOPSIS) method supported by the entropy weight model and impulse response functions in order to assess the performance of collaborative development in this region and elucidate underlying mechanisms. The results of this study reveal that collaborative development within the BTH region has tended to slowly increase over time, but with fluctuations. Although some progress has been made in promoting urbanization, constructing traffic networks, protecting the environment, and improving living standards, very significant expansion space nevertheless remains for further improvements. The collaborative development of this region has also been increasingly affected by globalization, with either the equalization of per capita fixed asset investment or fiscal expenditure exerting a definite impact. The results show that although the equalization of per capita fixed asset investment boosts collaborative development at the start of this process, it is likely to impede it over longer time scales, while the equalization of per capita fiscal expenditure will contribute to this process within the BTH region over both the short and long term. A number of policy suggestions are therefore proposed in this paper to promote smooth collaborative development of the BTH region, including optimizing investment structures and establishing an ecological compensation mechanism.

Establishment and Application of an Evaluation System for the Sustainable Development of Subway Traffic

“…The analytic hierarchy process is an effective method to solve multiple objective decision-making problems [9]. Its core idea is to aggregate, refine and decompose the factors related to multiple objective decision making and then transform them into a clear decision-making evaluation model at logical layers, such as the target layer and criterion layer, and thus provide the basis for multiple objective decision making by qualitative information and quantitative methods [10]. The basic idea of the analytic hierarchy process (AHP) is to decompose the target of decision making or evaluation according to the target layer, criterion layer and index layer one by one, and at the same time, to determine the comparative importance of the lower elements to the upper elements one by one and to form the judgment matrix under the element layer [11].…”

Sustainable Development of New Urbanization from the Perspective of Coordination: A New Complex System of Urbanization‒Technology Innovation and the Atmospheric Environment

“…The greater the degree of subjectivity, the greater the indicator's weight. By contrast, the objective weighting method does not rely on people's subjective judgment and is based on a strong theoretical calculation process, such as the entropy method [18,42], principal component analysis [43,44], or the mean squared deviation decision (MSD) method [7,45,46]. However, the objective method sometimes loses more information, and sometimes it is greatly affected by the discrete value [47].…”

“…Coordination evaluation is an important means to measure the relationship and coherence among all subsystems [52]. Many existing studies have adopted a coupling coordination degree model (CCDM) to measure the subsystems' relationship [7,42,[53][54][55]; however, this method has some subjective differences when setting the weight coefficient of each subsystem. In order to evaluate the coordination level of subsystems more objectively and comprehensively, we developed the UTA coordinated development index (UTACDI), which is based on the coordination degree model for China National Sustainable Communities [56].…”

Open Innovation of James Watt and Steve Jobs: Insights for Sustainability of Economic Growth

“…Seventhly, a long-term collaboration network based on the clinicaltrials.gov database in the Pharmaceutical industry was analyzed in relation to the social inclusive innovation perspective [67,68]. Eighthly, the collaborative development within the Beijing-Tianjin-Hebei region in China were evaluated in terms of performance and elucidated the mechanisms in relation to the micro open innovation dynamics [2,69]. Ninthly, simulation of weak nanotechnology innovation signals was done within the complex system condition, in relation to the complex, adaptive system approach [70,71].…”