Search results

The Northeast of the People's Republic of China is now termed the “rustbelt” of the country: there is a need to reform and restructure enterprises in the region. China's major industrialization is underway elsewhere, with factories located in coastal area and primarily oriented towards exports into global markets. In the meantime the original primary industrial base in Northeast has been almost been forgotten.

This preliminary mapping and tentative analysis of the Chinese rustbelt is based on intensive field interviews in three major cities in Northeast China – Dalian, Changchun and 1Harbin. The empirical results are complemented with official statistics and other government information. This research paper is a first attempt to take stock of the remaining technological and industrial structures that exist in the area and how they can become revitalized to service the overall economy.

This paper provides a preliminary examination of the possibility of using the region's strong higher education base to develop new high technology industries. It argues that this is a possible option for the future.

The information and analysis provides insights into a region of China not well‐known to the rest of the world, which has many challenges, but also many opportunities.

The purpose of this paper is to examine the influences of China’s rise for regional order, specifically in terms of the paradoxes of security, institution and power in Northeast Asia. Contrary to ideas propounded by the theory of economic interdependence and peace, this paper argues that the rise of China generated more anxieties for Northeast Asia than it saved.

This paper adopts a historical approach to the question of China’s rise and its relationship with Northeast Asia. This is a qualitative paper based on reflections and review of secondary sources and current events.

This paper finds that China’s rise has produced three paradoxes of security, institution and power in Northeast Asia. The paradoxes have shaped the geopolitical and geoeconomic landscape of Northeast Asia in the post-cold war period and are likely to continue to implicate regional order in the near future.

This paper is an original reflection of the author’s personal thoughts and opinions.

The purpose of this paper is to focus on the regional development of Northeast China and recommend certain alternatives to revive its economies.

The paper reviews and analyses the transitional situations of the major three constituent provinces of Northeast China, namely Liaoning, Jilin and Heilongjiang during the economic reform.

The paper finds that, in the initial couple of decades since the foundation of The People's Republic of China, a significant part of the northeast economy mirrored the economic model of the USSR, which ineffectively reacted to market economy. The transitional economy reformed the weaknesses of the economic systems of Northeast China but led to regional economic issues in unemployment, productivity, non‐recurrent resources, and duplicated investments.

With the state's northeast revitalization policy and the reform measures of provincial governments, the economic situation of the region has progressively improved over the years, reflected in a higher increase rate in added value of industrial output, international trade and investments. However, the northeast still has shortfalls compared with other economic poles in China.

The paper concludes that the Northeast should strengthen its regional comparative advantages and adopt industrial cluster development for its revival; and it is presumed that regional international trade and foreign direct investments will be further advanced through the more open policies implemented in recent years.

The authors are committed to providing the Chinese government with a foundation for making decisions that will protect black land and ensure long-term agricultural development.

Using the grounded theory approach, this study investigates the influencing factors affecting the quality of black land in Northeast China and proposes a hypothetical model for the mechanism of the influencing factors on the quality of black land in Northeast China.

The factors influencing the quality of black land include not only soil quality, ecological quality and environmental quality, but also economic quality and management quality, and can be classified into five categories. There are complex influence relationships between various factors and black land quality, with soil quality, ecological quality, environmental quality and management quality having a positive influence on economic quality. Soil quality, ecological quality and environmental quality are all improved as a result of good management. Black land quality is influenced positively by environmental quality, economic quality and management quality.

The quality of black land is a major concern in terms of food production and long-term agricultural development. The black land in Northeast China was chosen as the subject of this study, and the research findings have some limitations. The next step will be to expand from studying the black land in Northeast China to the black land worldwide.

In Northeast China, the quality of the five dimensions of black land must be improved in a coordinated and consistent manner.

The growth of the Chinese economy has resulted in a significant increase in construction and demolition waste (CDW), and regional differences in CDW generation are gradually increasing. The purpose of this study is to investigate the regional differences in CDW generation and the driving factors that influence CDW generation in different areas of China. To provide a systematic advisement for local governments to select the appropriate policy, reduce CDW generation.

The generation of CDW was calculated by region, based on the area estimation method, from 2005 to 2018. The relationship between CDW generation and economic development, and the driving factors of CDW generation in different regions of China, was investigated using the environmental Kuznets curve (EKC) model and the STIRPAT theoretical model.

CDW generation of China increased at the average annual growth rate of 10.86% from 2005 to 2018. The main areas of CDW generation were concentrated in the eastern and central regions, while the proportion of CDW generation in the northeast region decreased gradually, and the changes varied significantly across different regions. The EKC between CDW generation and economic development was established for the whole country, North China, Northeast China, East China, Central South China, Southwest China and Northwest China. Three main factors based on the STIRPAT theoretical model were identified and explained into a framework to reduce CDW generation. The results provided a useful theoretical basis and data support guide for devising effective policies and regulations for the Chinese context.

The findings from this study can ultimately support policymakers and waste managers in formulating effective policies for waste management strategies and CDW-specific legislation. Additionally, it can help the coordinated reduction of CDW generation across regions in China and can support construction enterprises (in their development strategies), similar developing economies and foreign firms planning to operate in China.

This study contributes to the field through the STIRPAT model on driving factors of CDW generation in the Chinese context, in different regions.

This paper aims to make a comprehensive evaluation of the progress and achievements made by China and Japan in literature collection, publication and academic research of South Manchuria Railways Co (SMR) after the Second World War and points out the existing and urgent problems.

This paper adopts the methods of literature research, questionnaire survey, comparative analysis and expert consultation.

After the Second World War, both China and Japan made great achievements in the collection, publication and research of SMR data, as well as in the academic research of SMR. However, as a new research field, there are still some problems in deepening the excavation and utilization of SMR data, expanding the research fields, improving the research methods, etc.

SMR itself was the product of a war of aggression. Although it died with the defeat of the war of aggression, remaining SMR data also has very precious value, it records the history of Japanese aggression against China, is the biggest database for the study of the problems in China and northeast Aisa at that time. In addition to Japan and China, the USA and the Soviet Union also kept part of the SMR data, so that to involve them in the research of SMR is also the purpose of this paper.

Rural residential energy consumption accounts for 46.6% of total building-related energy consumption of China. In Northeast China, energy consumption for space heating represents a significant proportion of total rural residential energy consumption and has reached 100 million tce (tons of standard coal equivalent), or more than 60% of total household energy consumption. In terms of energy consumption per square meter of gross floor area, rural residential energy consumption for heating is more than that of cities (20kgce/m2). However, the average indoor temperature of most rural residence is below 10°C, much less than that in cities (18°C). Hence, it is an important task for Chinese energy saving and emission reduction to reduce rural residential energy consumption, while enhancing indoor thermal comfort at the same time.

Restricted by local technology and low economic level, rural residences currently have poor thermal insulation resulting in severe heat loss. This paper reports on research aimed at developing design strategies for improving thermal insulation properties of rural residences with appropriate technology. A field survey was conducted in six counties in severe cold areas of Northeast China, addressing the aspects of indoor and outdoor temperature, humidity, internal and external surface temperature of building envelop enclosure, and so on.

The survey data show the following:

1. Modern (after 2000) brick-cement rural residences perform much better than the traditional adobe clay houses and Tatou houses (a regional type of rural residence in Northeast China – see figure A) in overall thermal performance and indoor thermal comfort;

2. Among the traditional residential house types, adobe clay houses have better heat stability and thermal storage capacity than Tatou houses;

3. Applying an internal or external thermal insulation layer can greatly improve rural residential thermal insulation properties, and is an economical and efficient solution in rural areas;

4. In terms of roofing materials, tiled roofs show much better thermal insulation properties than thatch roofs;

5. Adopting passive solar techniques can form a transition space (greenhouse) against frigid temperatures, resulting in interior temperatures 5.91°C higher than the outside surroundings. It is evident that local passive solar room design offers significant heat preservation effects and lower cost ($12/m2), embodies the ecological wisdom of rural residents, and is therefore important to popularize.

The above experimental results can provide guidance in energy conservation design for both self-built residences and rural residences designed by architects. In addition, the results can also provide experimental data for energy-saving studies for rural residences in China.

The study aims at disclosing the evolution process to an entrepreneurial university in the government‐pulled triple helix in China through the analysis of MIT and Stanford model of “university‐pushed triple helix” in which academic institutions take the lead in regional innovation.

The paper is based on a case study of the Northeastern University (NEU), which is located in the Northeast China where there is a dominant government‐pulled triple helix and with the establishment of China's first science park in which a highly successful software company (Neusoft) was created.

The pathway to an entrepreneurial university begins with government‐pulled + industry‐university collaboration, to university‐industry collaboration + interaction triple helix. This may be followed by a gradually developing “university‐industry collaboration” in which companies fund academic research with potential industrial use, the beginnings of a university‐pushed triple helix.

The analysis of NEU exemplifies the emergence of the entrepreneurial university in China and provides strategic implications for policy makers in terms of designing the appropriate policy to support university enterprising strategy.

China is currently developing and promoting an industrial cluster policy at the government level. By enacting the ‘Opinion on promoting industrial cluster development’, China is supporting the development of industrial clusters. Building an industrial cluster is done by using a single factor but requires many additional factors like regional characteristics, competitiveness factors are also diversified. To evaluate the competitiveness of the Chinese automobile industry cluster, a competitiveness element index should be developed and a competitiveness evaluation method is needed to evaluate the importance of each element. To accomplish this objective, this research applied the analytic hierarchy process (AHP) and focused on the importance of the competitiveness elements.

This research investigated the character is tics regarding cases of clusters and also analyzed the competitiveness of the Changchun automobile cluster located in northeastern China. The purpose of this research is to help Korean enterprises who enter China in the hopes that Korea will emerge as a top automobile production country.

The purpose of this paper is to provide an evaluation method for agricultural catastrophic risk.

Data on agricultural disaster loss are collected based on hectares covered by natural disasters, hectares affected by natural disasters, and hectares destroyed by natural disasters using the standard process. Peak over threshold (POT) approach based on the extreme value theory is used to model the distribution of agricultural catastrophic loss, and value at risk (VaR) is used to assess agricultural catastrophic risk.

This paper provides an approach for collecting agricultural loss data and modelling probability distribution of agricultural catastrophic loss, which is promising for agricultural catastrophic risk evaluating. As the quantified measurement of agricultural catastrophic risk, VaR is observed to be appropriate and feasible. Results of empirical research demonstrate that drought catastrophe negatively affects grain‐production in the northeast region of China; in particular, the drought catastrophic risk is severe within a 100‐year scenario and thus is expected to recur.

To provide an accurate agricultural catastrophic risk assessment, data collection based on disaster occurrence instead of crop yield, and VaR is used in this paper.