Sustainable Development Of Regional Economy Research Articles

Application of MIKE SHE to study the impact of coal mining on river runoff in Gujiao mining area, Shanxi, China.

Coal mining is one of the core industries that contribute to the economic development of a country but deteriorate the environment. Being the primary source of energy, coal has become essential to meet the energy demand of a country. It is excavated by both opencast and underground mining methods and affects the environment, especially hydrological cycle, by discharging huge amounts of mine water. Natural hydrological processes have been well known to be vulnerable to human activities, especially large scale mining activities, which inevitably generate surface cracks and subsidence. It is therefore valuable to assess the impact of mining on river runoff for the sustainable development of regional economy. In this paper, the impact of coal mining on river runoff is assessed in one of the national key coal mining sites, Gujiao mining area, Shanxi Province, China. The characteristics of water cycle are described, the similarities and differences of runoff formation are analyzed in both coal mining and pre-mining periods. The integrated distributed hydrological model named MIKE SHE is employed to simulate and evaluate the influence of coal mining on river runoff. The study shows that mining one ton of raw coal leads to the reduction of river runoff by 2.87 m3 between 1981 and 2008, of which the surface runoff decreases by 0.24 m3 and the baseflow by 2.63 m3. The reduction degree of river runoff for mining one ton of raw coal shows an increasing trend over years. The current study also reveals that large scale coal mining initiates the formation of surface cracks and subsidence, which intercepts overland flow and enhances precipitation infiltration. Together with mine drainage, the natural hydrological processes and the stream flows have been altered and the river run off has been greatly reduced.

A Political Economics Analysis on China's Regional Low-carbon Competitiveness: Theory and Empirical Test

How to correctly recognize the influencing factors of regional low-carbon competitiveness and the role of local governments in the process of regional low-carbon economic development is of great significance to sustainable development of regional economy. This paper constructs a regional low-carbon competitiveness (RCC) model under the framework of Marx's value theory to explore the mechanism of the reasons for the differences in regional low-carbon competitiveness in China. And it makes an empirical research by using panel data of China's 30 provinces from 2000 to 2012, and focuses on the performance differences in the effects of two types of government environmental governance on regional low-carbon competitiveness. It comes to the conclusions as follows:firstly, regional low-carbon competitiveness can decompose into traditional factor endowment effect, government governance effect, technical change effect and interior industrial structure; government governance and technical change have positive effects on regional low-carbon competitiveness and interior industrial structure has the negative effect on regional low-carbon competitiveness while the effect of traditional factor endowment on regional low-carbon competitiveness is uncertain and is determined by dynamic interaction among capital input scale, human capital and organic capital composition; secondly, due to the time-lag and accumulative characteristics of government support policy for investment in pollution control, the performance of government environmental governance mode based on administrative regulation is slightly better than the one of environmental governance mode based on government support for investment in pollution control in terms of the control of production emissions pollution and the improvement of regional low-carbon competitiveness; thirdly, the total performance in terms of the effect of government environment governance on regional low-carbon competitiveness is weaker than the one in terms of effects of traditional factors and interior industrial structure. Therefore, the two-pronged governance mode, namely the increase in investment in pollution control and the enhancement of environment regulation, should be the critical choice of improving environment governance performance and guiding green development by local governments.

The Loess Plateau Ecosystem Services Value Assessment—in Qingyang City as an Example

Evaluate ecosystem service value, Make its evaluation contents included in the national economic accounting system, correcting gross domestic product (GDP),is a good way to promote the sustainable development of regional economy, The author use the ecosystem services value evaluation methods provided by Costanza et al, and the Chinese land ecosystem service value per unit area basis when scale provided by Xie Gaodi et al, estimate and comparatively analyze the ecosystem services value of Qingyang from 2002 to 2012. The results show that the ecosystem service value of Qingyang is RMB 19.165 billion in 2002, reduced to $18.814 billion by 2012, the ecosystem services value has dropped by 351 million yuan in 11 years. Among them, the decrease of scrub-grassland and river area is the main reason for decline in value of ecosystem services of Qingyang.

To Promote the Sustainable Development of Regional Economies in South Asia by Enhancing Economic Cooperation of the Pan-Red River Basin

<em>In the significant trend of economic globalization, the regional competence becomes increasingly fierce. China and Southeast Asia are inevitably involved in this competition. In framework of China-ASEAN Free Trade Area, the Pan-Red River basin is the complement and expansion of it. The Red River mainly flows through China, Vietnam and Laos, especially China and Vietnam. The concept of the Pan-Red River basin plays an important role under the new situation. The overall stable political and economical situation, the complement of industrial resources, the improvement of transportation conditions and the further development of regional cooperation all provide certain foundations and conditions for accelerating the development of the Pan-Red River basin. In order to achieve the development of the Pan-Red River basin, developing consensus should be reached, regional factors flow and industrial upgrading and transfer should be achieved, transportation advantage should be played, the logistics centers of China and Vietnam should be built, multipolar regional development impetus should be achieved, and the port construction and border regional cooperation zone should also be built and strengthened.</em>

SPECTRAL FEATURE ANALYSIS FOR QUANTITATIVE ESTIMATION OF CYANOBACTERIA CHLOROPHYLL-A

In recent years, lake eutrophication caused a large of Cyanobacteria bloom which not only brought serious ecological disaster but also restricted the sustainable development of regional economy in our country. <i>Chlorophyll-a</i> is a very important environmental factor to monitor water quality, especially for lake eutrophication. Remote sensed technique has been widely utilized in estimating the concentration of <i>chlorophyll-a</i> by different kind of vegetation indices and monitoring its distribution in lakes, rivers or along coastline. For each vegetation index, its quantitative estimation accuracy for different satellite data might change since there might be a discrepancy of spectral resolution and channel center between different satellites. The purpose this paper is to analyze the spectral feature of <i>chlorophyll-a</i> with hyperspectral data (totally 651 bands) and use the result to choose the optimal band combination for different satellites. The analysis method developed here in this study could be useful to recognize and monitor cyanobacteria bloom automatically and accrately. <br><br> In our experiment, the reflectance (from 350nm to 1000nm) of wild cyanobacteria in different consistency (from 0 to 1362.11ug/L) and the corresponding <i>chlorophyll-a</i> concentration were measured simultaneously. Two kinds of hyperspectral vegetation indices were applied in this study: simple ratio (SR) and narrow band normalized difference vegetation index (NDVI), both of which consists of any two bands in the entire 651 narrow bands. Then multivariate statistical analysis was used to construct the linear, power and exponential models. After analyzing the correlation between <i>chlorophyll-a</i> and single band reflectance, SR, NDVI respetively, the optimal spectral index for quantitative estimation of cyanobacteria <i>chlorophyll-a</i>, as well corresponding central wavelength and band width were extracted. Results show that: Under the condition of water disturbance, SR and NDVI are both suitable for quantitative estimation of <i>chlorophyll-a</i>, and more effective than the traditional single band model; the best regression models for SR, NDVI with <i>chlorophyll-a</i> are linear and power, respectively. Under the condition without water disturbance, the single band model works the best. For the SR index, there are two optimal band combinations, which is comprised of infrared (700nm-900nm) and blue-green range (450nm-550nm), infrared and red range (600nm-650nm) respectively, with band width between 45nm to 125nm. For NDVI, the optimal band combination includes the range from 750nm to 900nm and 700nm to 750nm, with band width less than 30nm. For single band model, band center located between 733nm-935nm, and its width mustn’t exceed the interval where band center located in. <br><br> This study proved , as for SR or NDVI, the centers and widths are crucial factors for quantitative estimating <i>chlorophyll-a</i>. As for remote sensor, proper spectrum channel could not only improve the accuracy of recognizing cyanobacteria bloom, but reduce the redundancy of hyperspectral data. Those results will provide better reference for designing the suitable spectrum channel of customized sensors for cyanobacteria bloom monitoring at a low altitude. In other words, this study is also the basic research for developing the real-time remote sensing monitoring system with high time and high spatial resolution.

SPECTRAL FEATURE ANALYSIS FOR QUANTITATIVE ESTIMATION OF CYANOBACTERIA CHLOROPHYLL-A

Abstract. In recent years, lake eutrophication caused a large of Cyanobacteria bloom which not only brought serious ecological disaster but also restricted the sustainable development of regional economy in our country. Chlorophyll-a is a very important environmental factor to monitor water quality, especially for lake eutrophication. Remote sensed technique has been widely utilized in estimating the concentration of chlorophyll-a by different kind of vegetation indices and monitoring its distribution in lakes, rivers or along coastline. For each vegetation index, its quantitative estimation accuracy for different satellite data might change since there might be a discrepancy of spectral resolution and channel center between different satellites. The purpose this paper is to analyze the spectral feature of chlorophyll-a with hyperspectral data (totally 651 bands) and use the result to choose the optimal band combination for different satellites. The analysis method developed here in this study could be useful to recognize and monitor cyanobacteria bloom automatically and accrately. In our experiment, the reflectance (from 350nm to 1000nm) of wild cyanobacteria in different consistency (from 0 to 1362.11ug/L) and the corresponding chlorophyll-a concentration were measured simultaneously. Two kinds of hyperspectral vegetation indices were applied in this study: simple ratio (SR) and narrow band normalized difference vegetation index (NDVI), both of which consists of any two bands in the entire 651 narrow bands. Then multivariate statistical analysis was used to construct the linear, power and exponential models. After analyzing the correlation between chlorophyll-a and single band reflectance, SR, NDVI respetively, the optimal spectral index for quantitative estimation of cyanobacteria chlorophyll-a, as well corresponding central wavelength and band width were extracted. Results show that: Under the condition of water disturbance, SR and NDVI are both suitable for quantitative estimation of chlorophyll-a, and more effective than the traditional single band model; the best regression models for SR, NDVI with chlorophyll-a are linear and power, respectively. Under the condition without water disturbance, the single band model works the best. For the SR index, there are two optimal band combinations, which is comprised of infrared (700nm-900nm) and blue-green range (450nm-550nm), infrared and red range (600nm-650nm) respectively, with band width between 45nm to 125nm. For NDVI, the optimal band combination includes the range from 750nm to 900nm and 700nm to 750nm, with band width less than 30nm. For single band model, band center located between 733nm-935nm, and its width mustn’t exceed the interval where band center located in. This study proved , as for SR or NDVI, the centers and widths are crucial factors for quantitative estimating chlorophyll-a. As for remote sensor, proper spectrum channel could not only improve the accuracy of recognizing cyanobacteria bloom, but reduce the redundancy of hyperspectral data. Those results will provide better reference for designing the suitable spectrum channel of customized sensors for cyanobacteria bloom monitoring at a low altitude. In other words, this study is also the basic research for developing the real-time remote sensing monitoring system with high time and high spatial resolution.

The economic benefits of whale watching in El Vizcaíno Biosphere Reserve, Mexico

This paper attempts to determine the economic value generated by whale watching at El Vizcaíno Biosphere Reserve/Lower California. Based on a representative sample survey, the analysis focuses on identifying specific visitor segments, their respective spending patterns, and the service sectors that profit. Results highlight that visitor spending generates a considerable gross turnover of just under $ 3,000,000 USD, benefitting mostly local tourism businesses. In order to increase the economic benefits of whale watching as a means of fostering sustainable regional economic development, it is crucial to focus tourism planning and marketing tools on well-defined visitor segments to satisfy their specific needs and expectations.

Research on the Relationship Between Regional Economic Sustainable Development and Human Land Coordination Based on Data Mining Under the Background of Big Data

Research on the Relationship Between Regional Economic Sustainable Development and Human Land Coordination Based on Data Mining Under the Background of Big Data

Resort-oriented tourism development and local tourism networks – a case study from Northern Finland

In tourism studies, it has been widely recognized that resort-oriented tourism development creates challenges for regional development, mainly due to its enclave nature and lack of regional economic linkages. However, there have been relatively few studies on the destination-scale cooperative networks, although, they are vital in increasing the positive regional economic impacts of tourism development. This paper is an empirical qualitative study exploring the connections between resort-oriented tourism development and tourism business cooperation in the case study area of the Ruka-Kuusamo tourism destination in Northeast Finland. The interest is on how the local cooperative networks of the Ruka tourist resort are spatially constructed within the Ruka-Kuusamo tourism destination. The research data consists of semi-structured interviews conducted for ten tourism actors located in the Ruka resort. The results show that the businesses located in the Ruka resort cooperate at the regional scale mainly in marketing, while their partners in production cooperation are located mostly within the resort, particularly in its very core area. The resort appears to function as a basis for spatial identification for tourism actors, which, in turn, affects entrepreneurs’ motivation to cooperate at the local and regional scale. Tourism entrepreneurs operating in the very core of the resort perceive the area as the principal area for their operations, and therefore, they do not particularly engage with the surrounding areas and businesses or with other actors located there. Thus, for smaller enterprises outside the core, it can be difficult to benefit from the resort’s core’s growth via network relations. This contributes mainly to the development of the core areas alone, creates challenges for sustainable regional economic development in the destination region, and hinders the resort’s tourism growth in the long run.

The Effects of Development Strategy and Regional Competitiveness on Investment of Marine-Tourism Industry in East Belitung Regency

Increased investment in the region is one of the important instruments in achieving sustainable regional economic development to the welfare of society. The investment value of East Belitung province until 2013 in the fourth quarter increased in the amount of18% or Rp. 462,807,663,854 which was also in line with the growth of projects and labors unless the marine and tourism sector. Based on preliminary observation, this diversity is probably caused by low development strategy and competitiveness whereas Beltim economic development vision is: Creating East Belitung as the Regional Industry with Agriculture, Marine and Fisheries, and Integrated Economic Democracy-Based on Bangka Belitung Archipelago. The method used was descriptive-verificative with verification analysis tool by Structural Equation Modeling (SEM) through variants structure-based approach or Partial Least Square Path Modeling. The number of respondents was 48 people consisting of four elements, namely local government offices, business people, BUMD directors, and academic personnel. The results show that there is a positive and significant effect of the development strategy and contribution of regional competitiveness for Marine-Tourism industry investment. The role of development strategy and regional competitiveness is significantly to improve the industry investment of Marine-Tourism. Regional competitiveness variable causes greater effect than development strategy. Therefore, East Belitung regency should improve its competitiveness as soon as possible either institutional, political and socio-cultural security, regional economics, labor and physical infrastructure. DOI: 10.5901/mjss.2015.v6n5s5p189

The studies of ecological environmental quality assessment in Anhui Province based on ecological footprint

Under the dual pressures of the socio-economic development and the increase in population density, the ecological environmental quality issues in Anhui Province have become increasingly prominent, which seriously handicap the sustainable development of regional economy, and it is more important to evaluate ecological environmental quality. By using the data of ecological environment, society, economy and population in Anhui Province, this paper measures ecological footprint, ecological environmental carrying capacity and ecological deficit and surplus in Anhui Province based on ecological footprint. The results show that ecological environmental quality in Anhui Province is not in the best state of the coordinated development, and the relationship between the supply and the demand of per ecological footprint almost is not in balance.

Challenges of Sustainable Development of Regional Economy in The Conditions of Russia's Accession to The World Trade Organization

The article discloses the concepts and challenges of sustainable development of the regional economy, the conditions and factors of its ensuring; the problems of sustainable development of the regional economy in the current conditions of Russia's accession to the World Trade Organization (WTO) are studied, necessary conditions for its ensuring are defined, the main directions of the regional economic policy which conduce to improve the sustainability of the regional economic development, are developed, government regulation tools are recommended.

Effects of carbon emission transfer on economic spillover and carbon emission reduction in China

Accurately understanding the spatial features of regional carbon emission transfer and clearly identifying economic spillover effects and emission reduction effects are important in guiding reasonable regional carbon emission transfer and promoting sustainable regional economic development. This study firstly calculated China's total provincial carbon emission import and export. Then, the Moran's I index and a geographical weighted regression model were used to illustrate the spatial features of provincial carbon emission transfer and its economic spillover effects. Finally, the reduction effects of provincial carbon emission were analyzed and optimization strategies of carbon emission transfer structure for China's provinces were proposed. The results show that: 1) The transfer amount of carbon emission in most provinces is relatively large, and on the whole, the carbon emission import is higher than the export. 2) Spatial cluster is a characteristic of the provincial carbon emission transfer in China, and the Moran's I index of carbon emission import and export is 0.17 and 0.14, respectively. 3) The carbon emission transfer in the developed central and eastern regions of China displays a High–High pattern; but a Low–Low pattern is displayed in the underdeveloped central and western regions; for the central regions, the transfer displayed mainly a Low-High or High-Low pattern. 4) The economic spillover effects of the carbon emission transfer can be classified into five different types. Generally, the economic spillover effects of the carbon emission import are greater than that of the export. 5) Carbon emission transfer can reduce the coal consumption in 18 provinces and help those provinces continue to maintain cleaner production modes.

Research on the Development of Wisdom Logistics of Regional Economical Integration of Beijing, Tianjin and Hebei Base on Low Carbon Economy

Low-carbon economy is the driving force for sustainable regional economic development. The logistics industry is the fastest growing industry in recent years. In this paper, for example Beijing, Tianjin and Hebei, analyzes the development of the metropolitan area's logistics industry. In the context of low-carbon economy, the use of wisdom logistics to build a new logistics industry, the integration of resources, to reduce waste, improve efficiency, and protect the environment.

Xinjiang Land Resources and Ecological Environment Coordinate Development Research

Benign coordinating relations can promote sustainable use of land resources and improve of the ecological environment quality and excessive exploitation and utilization of the land resources will only aggravate the ecological environment vulnerability and further restrict the sustainable development and utilization of the land resources. This paper, from the perspective of basic current situation of Xinjiang, by using the coupling evaluation model and principal component analyze, on the basis of coupling relationship, studies both the degree of coupling relationship and the influence mechanism and analyzes the dynamic evolution process of development and utilization of land and ecological environment in 2000 ~ 2010,. The results of the study show that: (1) the development of land use intensity and ecological environment shows fluctuation state on the whole. Although environment has been improved in recent two years, but both the coordinated development is still faced with great pressure. (2) The dynamic evolution relationship between the development of land use and ecological environment does not meet the long-term equilibrium relationship and the ecological and environmental benign condition is not obviously. presented This paper holds that: adhering to synchronization of the development of land use and ecological environment improvement, and sustaining relatively stable operation mechanism of ecological environment can maintain the sustainable development of regional economy.

Constructing an assessment indices system to analyze integrated regional carrying capacity in the coastal zones – A case in Nantong

As an indispensable homestead, the ecosystem witnesses a large number of human activities. Undoubtedly, socio-economic development consumes a variety of natural resources and causes stress to the ecosystem. Only when the ecosystem is in under-loading, socio-economic development can be sustainable. In this paper, the integrated carrying capacity (ICC), which is a comprehensive capacity measure, is calculated in given space and time frames to support the evaluation of long-term sustainable regional economic development. Combined with the conceptual mode of “driving force – pressure – state – response – control” (D–PSR–C), the ICC reveals the loading capacity between human activity and the ecosystem. In coastal zones, the ICC is more effective because of the rapid socio-economic development. Using a case study in the Nantong coastal area in China, we constructed an index system to assess the regional ICC and its variability in 2005, 2008 and 2009. The results indicate that (1) almost all county ICC states of land, shoals, marine and regional are under-loading with several exceptions that are full-loading. The highest value is the regional ICC of Qidong in 2009 (2.679 and under-loading). The lowest value is the Haian marine ICC in 2008 (0.171 and over-loading). (2) From 2005 to 2009, the ICC values of beach, marine and regional were increasing, but it was decreasing in land. (3) Based on the analysis of the carrying capacity of the secondary indicator contribution rate, the population pressure and the external contribution ability are nearly below 10%, and environmental pollution is also a critical indicator. In this paper, the assessment indices system contains almost all of the impacts of human activity, and the calculation method and the judgment standard can improve the traditional method's faultiness. The conclusions are a fundamental basis for the long-term balance between economic development and ecosystem health.

A Network Capacity Perspective of Transmission and Diffusion of Cluster Risk Based on Focal Enterprises

Cluster risk prevention is a critical issue in sustainable development of regional economy. Considering the complexity of cluster network structure, more need to be studied to clarify the internal logic relationship between cluster risk transmission and its diffusion.On the premise of categorizing dimensions of focal enterprises' network capacity and structural attributes, two findings are concluded: (a) there is a significantly positive relationship between focal enterprise's network capacity and structure (i.e. network centrality and Relationship adaptability); (b) Instead of simply positive or negative correlation, there is a dialectical relationship between network structure and cluster risk robustness in some cases.

A Network Capacity Perspective of Transmission and Diffusion of Cluster Risk Based on Focal Enterprises

Cluster risk prevention is a critical issue in sustainable development of regional economy. Considering the complexity of cluster network structure, more need to be studied to clarify the internal logic relationship between cluster risk transmission and its diffusion.On the premise of categorizing dimensions of focal enterprises' network capacity and structural attributes, two findings are concluded: (a) there is a significantly positive relationship between focal enterprise's network capacity and structure (i.e. network centrality and Relationship adaptability); (b) Instead of simply positive or negative correlation, there is a dialectical relationship between network structure and cluster risk robustness in some cases.

Functions of Public Service in the Sustainable Development of Regional Economy: A Case Study of Tianjin

In the development process of regional economy, the adequate supply of public services can create a good environment, promote endogenous growth and improve the government's governance ability in public affairs. This paper mainly analyzes the function of public services in regional economy by taking Tianjin as an example.

Modelling port choice in an uncertain environment

Port choice is an important issue to be investigated to ensure the effective integration of container supply chains and the sustainable development of regional economy. The selection of appropriate ports to facilitate shipping activities and international trade is crucial for many stakeholders, including shipping lines, port administrators, cargo shippers and national governments. The task is essentially a process of multiple criterion decision-making (MCDM) under uncertainty, requiring analysts to derive rational decisions from uncertain and incomplete data related to different quantitative and qualitative determinants. This paper aims at proposing a new conceptual port choice method by explaining the role fuzzy logic in evidential reasoning in a complementary way, in which various forms of raw data (either objective or subjective) collected to evaluate port performance can first be converted into and presented as fuzzy grades defined using linguistics terms with degrees of belief (DoBs) and second be combined using evidential reasoning to produce a port choice preference score. The method is applied to analyse the selection of major Northeast Asian (NEA) container ports from a shipping line’s perspective. The outcome, a port choice preference score, is calculated using evidential reasoning to directly synthesize the true estimation of the port with respect to each criterion and therefore, unlike a relative ranking index, keeps the ‘goodness’ of port evaluation, capable of benchmarking a specific port’s performance and monitoring the increase of its competitiveness in a longitude study with respect to an individual criterion or all the criteria as a whole.