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[目的]开展土地综合承载力评价是科学编制国土空间发展战略的基础。通过构建包含水土资源承载力、经济承载力和生态承载力3个维度土地综合承载力评价指标体系,定量刻画郑州市城市土地综合承载力的特征与轨迹。[方法]运用均方差法,选取2010—2016年郑州市城市土地综合承载力评价指标,分析其土地综合承载力特征。[结果](1)总体上,郑州市城市土地综合承载力不断增强,水土资源承载力呈现先升—降—升的动态演变特征; 经济承载力持续增长,这源于郑州市土地经济效益的大幅提升; 生态承载力呈现波动性增强的演变特征。(2)郑州市城市土地综合承载力经历了较低—中等—较高发展历程,但土地综合承载力处于低层次的较高阶段,仍有较大提升空间。(3)为提高郑州市城市土地综合承载力,应加快“多规合一”规划的编制,科学划定城市增长边界和“三生”空间,转变城市发展理念,优化发展发展路径,提升城市土地综合承载力水平。[结论]郑州市城市土地综合承载力仍有较大提升空间,应加快建立土地综合承载力扩容的有效机制。 相似文献
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Jing Wang Vangelis Tsiligiris Robert Hartley 《Accounting Education: An International Journal》2019,28(3):221-238
This paper evaluates ways of instilling project management skills into accounting-based learning by the use of an iterative A3 planner to plan, monitor and review assignment progress. The application of an A3 planner to facilitate a project-based learning (PBL) group assignment in undergraduate accounting education has been critically evaluated in terms of both the student and tutor experience. The study uses a mix of qualitative and quantitative data. Quantitative data assisting exploration of perceptions were collected through 100 undergraduate students. A series of focus group discussions were carried out to investigate students’ engagement and tutors’ teaching experiences regarding the adoption of the A3 planner. The results suggest that the A3 planner promotes active planning and effective management of a PBL group assignment. It makes students’ thought processes more visible thereby facilitating and enhancing the tutoring/mentoring process. Moreover a more interactive and transparent approach by doing assignment via the use of an iterative A3 planner has ensured more feedback points and action based efficiency in the doing approach for learners. 相似文献
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Day-Yang Liu Hsin-Hsin Yao Wen-Min Lu Cheng-Hsien Lin 《Managerial and Decision Economics》2020,41(6):1020-1032
In this study, an epsilon-based network data envelopment analysis is employed to construct assessment mechanisms for government performance. Moreover, performance indicators of two dimensions of tax collection efficiency and financial effectiveness are measured. We propose a vector autoregression model in which all economic variables are regarded as dependent variables to address the disadvantages of traditional regression model. The conclusions are as follows: (a) measures of tax collection efficiency deteriorated, whereas those of financial effectiveness improved. (b) In an impulse response analysis of the model, an increase in government-published land values produced significantly increased tax collection efficiency. 相似文献
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In this article, we account for the first time for long memory, regime switching and the conditional time-varying volatility of volatility (heteroscedasticity) to model and forecast market volatility using the heterogeneous autoregressive model of realized volatility (HAR-RV) and its extensions. We present several interesting and notable findings. First, existing models exhibit significant nonlinearity and clustering, which provide empirical evidence on the benefit of introducing regime switching and heteroscedasticity. Second, out-of-sample results indicate that combining regime switching and heteroscedasticity can substantially improve predictive power from a statistical viewpoint. More specifically, our proposed models generally exhibit higher forecasting accuracy. Third, these results are widely consistent across a variety of robustness tests such as different forecasting windows, forecasting models, realized measures, and stock markets. Consequently, this study sheds new light on forecasting future volatility. 相似文献
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ABSTRACTThe escalating U.S.–China trade conflicts have increasingly shadowed the outlook of the world economy. The Trump administration aims to achieve its strategic goals including reducing current account deficits, promoting the U.S. manufacturing sector, and curbing Chinese high-tech industries by waging the trade war against China. This paper argues that the current account deficits and the declining manufacturing sector in the U.S. are mainly driven by its internal structural factors, such as low saving rates, high labor costs, and rising service sector, rather than by the import competition from China. Moreover, the trade war further deteriorates the U.S. current account deficits and erode its comparative advantage, and it forces China to invest more in technological innovation and human capital, and thus promote its progress in high-tech industries. Thus, the U.S. will not be able to achieve its strategical goals and eventually lose the trade war. 相似文献
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U.S. multinational corporations increasingly use intra-firm, cross-border research collaboration to disperse R&D across different countries. This paper investigates the implications of such collaboration on the abilities of firms to garner benefits from R&D tax incentives. We find that the association between R&D intensity and tax incentives is three to five times larger when firms have extensive cross-border collaboration connected to a country. We also find that the effect is stronger when local intellectual property protection is weaker and when local innovation resources are higher. Our results suggest that cross-border collaboration helps firms achieve more tax-efficient R&D investments both by reducing the nontax frictions posed by weak intellectual property protection and by increasing the nontax benefits of foreign R&D. 相似文献
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县域特色产业集群的快速发展有效推动了当地经济发展,在市场中形成了规模优势和竞争优势,是构成经济持续发展的关键动力.但是当前在发展过程中出现了较多的问题,影响了其发展质量和发展速度,基于此,本文对县域特色产业集群的发展优势、发展问题和发展策略进行了分析,以期可以为其高质量发展提供有效参考,扩大发展规模. 相似文献