scholarly journals The Relationship Between Green Building and Regional Economy: A Case Study in Guangdong, China

2017 ◽  
Vol 11 (1) ◽  
pp. 216-234
Author(s):  
Zhao Likun ◽  
Zhang Qibin ◽  
Ji Yingbo
Keyword(s):  
Regional Economy ◽  
Green Building ◽  
Local Economy ◽  
Government Support ◽  
Flow Diagram ◽  
Regional Economic ◽  
Fixed Assets ◽  
Save Energy ◽  
Investment In Fixed Assets ◽  
Stock Flow

Developing Green Building (GB) is one of the most effective measures to save energy and reduce carbon emissions in the world. To promote the development of green building, it is necessary to analyze driving factors and contribution through the analysis for relationship between regional economy and green building. Therefore, based on the system dynamic(SD) theory, this paper constructs the structure model of the stock flow diagram, including the regional economic subsystem, social subsystem, government support subsystem and green building subsystem. Among the model, Guangdong province, as the most prosperous province of economic development with the largest numbers of certified green buildings in China, has been chosen to show the influence level of their relationship. Through simulation, results can be easily shown that development of GB can make contributions to the field of local economy, however, also be limited by the regional condition, including policy incentive, regional economic, technological, etc. We can also find that direct contribution to the GDP the Green Building made can reach about 2.47 ‰, and 9.23 ‰ indirectly. If the current level of regional production is stable, it can be found that each additional 10,000 square meters of green area building may produce about ¥018.2 million for economy. On the contrary, that the regional economy investment in fixed assets increased by ¥1 million can stimulate 0.001648 million square meter demand of GB. Additionally, employment opportunities directly or indirectly have also been considered.

scholarly journals The Impact of High-Speed Railway on China’s Regional Economic Growth Based on the Perspective of Regional Heterogeneity of Quality of Place

2021 ◽  
Vol 13 (9) ◽  
pp. 4820
Author(s):  
Shanlang Lin ◽  
Prithvi Raj Dhakal ◽  
Zhaowei Wu
Keyword(s):  
Economic Growth ◽  
High Speed ◽  
Regional Economic Growth ◽  
High Speed Railway ◽  
Regional Economic ◽  
Fixed Assets ◽  
Quality Of Place ◽  
Investment In Fixed Assets ◽  
The Impact

Transport enables trade between people, which is essential for the development of civilizations. Transport is a crucial necessity for specialization, allowing production and consumption of products to occur at different locations. High-speed rail (HSR) allows the flow of people between regions, cities, countries. With rapid global development in HSR technology for passenger transportation, it plays a vital role in transportation systems. The improvement of the quality of cities with different emphasis will bring different economic development results. Therefore, exploring the impact of high-speed railways and quality of place on economic development is necessary. This paper takes the prefecture-level city with a high-speed railway opened in 2008–2013 as the research sample and takes other prefecture-level cities in the country as the control group. The study findings revealed that employment, investment in fixed assets, average wage, and higher education institute significantly affect China’s regional economic growth. Institute of higher education reflects the negative effect on the regional economic growth whereas the employment, investment in fixed assets, and average wage rate positively impact it. Based on the results, it can be concluded that China’s regional economy is significantly affected by its quality.

scholarly journals A Study on Investment Structure of Fixed Assets and Regional Economic Growth

2020 ◽  
Vol 3 (3) ◽  
Author(s):  
Zhenzhen Liu
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Regional Economy ◽  
Regional Economic Growth ◽  
Fixed Asset ◽  
Regional Economic ◽  
Fixed Assets ◽  
Investment Structure ◽  
China’S Economy ◽  
Vast Territory

Nowadays, it has been in the period of rapidly developing China’s economy. Since the financial crisis in 2008, China has paid more and more attention to investing in fixed assets, and the growth rate of investing in fixed asset is also rising. However, when promoting regional economic growth, if we only pay attention to the total amount of fixed asset investment, there will inevitably exist some blindness and lack of sustainability. Therefore, the study between the investment structure of fixed assets and regional economic growth is quite important. China has a vast territory and many regions. The investment structure of fixed assets in different regions is also different, so the influence on economic growth is also different. This paper analyzes the investment structure of fixed assets and regional economic growth, and help realize the rapid growth of regional economy by recognizing the current situation of China's investment structure of fixed assets.

scholarly journals Discrete Dynamic Modeling and Change Trend Analysis of Regional Economy Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yang Chen ◽  
Yu Yu
Keyword(s):  
Big Data ◽  
Dynamic Modeling ◽  
Regional Economy ◽  
Experimental Testing ◽  
Modeling Method ◽  
Bayesian Regression ◽  
Government Support ◽  
Regional Economic ◽  
Discrete Dynamic ◽  
Modeling Technology

The driving force of high-quality development of regional economy is inseparable from the support of technology. With the support of big data, we need to solve this problem in order to solve the difficulty of large-scale experimental testing and accurately reflect the feasibility growth of data sample changes. This paper proposes a discrete dynamic modeling technology based on big data background to analyze the development and change of regional economy. The reliability AMSAA model is usually used for dynamic discrete modeling. It can be combined with the change data provided by big data to form a dynamic modeling method for reliability growth evaluation. Then, the Bayesian regression method is used to predict the change parameters of the model, and the spatial econometric method is used to analyze the regional economic change. The results show that compared with the traditional methods, the discrete dynamic modeling method is more accurate and can effectively solve the problem of reliable growth under the condition of big data. After introducing the spatial effect measurement model, it can also reflect the main factors of the growth and change of regional economic real output value. In addition to the development of high and new technology, terrain factors, investment, and government support have also had different effects. Therefore, according to the above results, it is proved that the discrete dynamic modeling technology can accurately obtain the experimental data and provide reliable technical support for dynamic data processing.

INFLUENCE OF INVESTMENTS ON THE ECONOMIC GROWTH OF THE COUNTRY

2020 ◽  
Vol 7 (3) ◽  
pp. 28-33
Author(s):  
Ravshan Mamatov ◽  
Keyword(s):  
Economic Growth ◽  
Annual Growth ◽  
Production Factors ◽  
Fixed Assets ◽  
Production Growth ◽  
Total Investment ◽  
The Republic ◽  
Investment In Fixed Assets

The economic growth of the Republic of Uzbekistan will depend on production factors that contribute to the annual growth of the country's GDP. At the same time, extensive production growth will lead to the implementation of unpromising investments. A growing share of innovation-oriented investments in the total investment in fixed assets in the country will lead to intensive economic growth in the country

scholarly journals Strategies for Effective Waste Reduction and Management of Building Construction Projects in Highly Urbanized Cities—A Case Study of Hong Kong

Buildings ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 214
Author(s):  
Ann T. W. Yu ◽  
Irene Wong ◽  
Zezhou Wu ◽  
Chi-Sun Poon
Keyword(s):  
Hong Kong ◽  
Waste Management ◽  
Construction Projects ◽  
Management Practices ◽  
Green Building ◽  
Waste Reduction ◽  
Government Support ◽  
Design Stage ◽  
Construction Waste ◽  
Waste Management Practices

Hong Kong is a densely populated city with high-rise developments, and as in other metropolitan cities, the amount of waste generated from construction projects in the city is increasing annually. The capacity of existing landfills is expected to be saturated by the 2020s. Construction waste management has been implemented for years but the performance is still not satisfactory. The aim of this research paper is to explore and formulate strategies and measures for effective construction waste management and reduction in highly urbanized cities such as Hong Kong. A desktop study on construction waste management practices was carried out for a preliminary understanding of the current situation in Hong Kong. Semistructured interviews and focus group meetings were further conducted to shed light on how to improve construction waste reduction and management in Hong Kong. The main contributions of this research study are the potential short-term, medium-term, and long-term strategies, which are related to the design stage, tender stage, construction stage, and government support. The five major strategies recommended are financial benefits to stakeholders, public policies in facilitating waste sorting, government supports for the green building industry, development of a mature recycling market, and education and research in construction waste minimization and management.

Analysis of regional economic evaluation based on machine learning

2020 ◽  
pp. 1-11
Author(s):  
Xiaoying Xu ◽  
Zhijian Zeng
Keyword(s):  
Economic Development ◽  
Economic Evaluation ◽  
Regional Economy ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Real Data ◽  
Entropy Weight ◽  
Regional Economic ◽  
Economic Strategy ◽  
Table Data

The regional economic evaluation and analysis has guiding significance for the subsequent economic strategy formulation. Due to the influence of various factors, the volatility of some current economic evaluation models is relatively large. According to the needs of regional economic evaluation, this study uses computer technology combined with regional economic development to build an economic development evaluation model to evaluate and analyze the regional economy. Through comparative analysis, this study selects the entropy weight-TOPSIS model as the comprehensive evaluation model of regional economy, uses the entropy weight method to determine the weight of each index, and then uses the TOPSIS method to conduct comprehensive evaluation. In addition, this study designs a control experiment to analyze the performance of this study model. Moreover, this study uses the model proposed in this study to conduct regional economic evaluation in recent years, and compares it with real data, and observes the test results with statistical charts and table data. The research results show that this research model has a certain effect, which can provide analytical tools for the follow-up economic strategy research and analysis.

scholarly journals The Investment in Fixed Assets Before and After the Global Financial Crisis (Empirical Study for Industry and Investment Sector in Palestine Stock Exchange)

2021 ◽  
Vol 12 (4) ◽  
pp. 52
Author(s):  
Tamer Bahjat Sabri
Keyword(s):  
Financial Crisis ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Return On Assets ◽  
Significant Difference ◽  
Fixed Assets ◽  
Before And After ◽  
The Global Financial Crisis ◽  
Investment In Fixed Assets ◽  
Shed Light

This paper seeks to shed light on investment in fixed assets before and after the financial crisis that took place in 2008 and compare the two periods together in the sectors of industry and investment in Palestine Stock Exchange. The period between 2005 – 2007 was chosen to represent to the pre-crisis time and the period between 2010 -2012 was chosen to represent the post-crisis time. The population of the study consists of fifteen organizations from both sectors. To test the hypothesis of the study, the independent samples T-test was employed.The average ratio of fixed assets to the total assets of industry and investment rose from 56.2% before the crisis to 58.5% after the crisis. As for the hypotheses of the study, the findings showed no difference except for the seventh hypothesis. There was a statically significant difference in the ratio of fixed assets to equity between the listed companies that a high return on assets and those that have a low return.

scholarly journals ANALYSIS OF REGIONAL ECONOMIC CRIME (ON THE EXAMPLE OF MOSCOW AND THE MOSCOW REGION)

2021 ◽  
Vol 8 (4) ◽  
pp. 116-120
Author(s):  
Igor' Lopatin
Keyword(s):  
Regional Economy ◽  
Current Trend ◽  
Regional Level ◽  
Point Of View ◽  
Social Conditions ◽  
Economic Crime ◽  
Moscow Region ◽  
Material Damage ◽  
Regional Society ◽  
Regional Economic

Economic crime at the regional level is a versatile category that is dangerous for the population of the region and negative from the point of view of society, characterized by the existing regional social conditions. The danger of manifestations of economic crime consists both in the consequence in the form of significant material damage to the population of the region, and in the destabilization of the regional economy as a whole. Parallel shadow operations with an illegal orientation are emerging and progressing in the regional society, which, given the current trend, can direct all the resources available in the region to their development.

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