Evaluation and Driving Force Analysis of Marine Sustainable Development based on the Grey Relational Model and Path Analysis
GAO Sheng, ZHAO Lin, SUN Huihui, CAO Guangxi, and LIU Wei
With the rapid development of the marine economy, the demand for marine resources development and the pressure on marine environmental protection are gradually increasing. It is critical to evaluate and analyze the driving forces of marine sustainable development in order to promote the coordinated development of the marine economy, resources and environment. Taking Jiangsu Province of China as an example, this paper constructs an evaluation index system for marine sustainable development from the three aspects of marine economy, resources and environment, and calculates the weight of the variation coefficient for each indicator. Based on the grey relational model, the average value of the relational degree, calculated by the average value method of correlation coefficients and the weighting method, is then used to evaluate the status of marine sustainable development in this province. The comprehensive index model is used to analyze the dynamic trend of the evolution of marine sustainable development. The driving forces of marine sustainable development are analyzed by the path analysis method combined with the average values of the grey relational degree for each indicator. This analysis found that the marine sustainable development in 2016 and 2012 was good, the situation in 2007 was bad, and the remaining years were intermediate. Compared with the previous years, the optimal conditions of 2008 and 2012 were obvious. The main driving factors of marine sustainable development are cargo throughput of coastal ports, economic losses caused by storm surges in coastal areas, the area of marine nature reserves in coastal areas, coastal wind power generation capacity, and marine biodiversity.
  • Apr. 23, 2021
  • Journal of Resources and Ecology
  • Vol.11 Issue, 6 570 (2020)
  • DOI:10.5814/j.issn.1674-764x.2020.06.004
A Study of Food Waste in the Catering Industry in Beijing
CAO Xiaochang, LIU Xiaojie, CHENG Shengkui, LIU Yao, and ZHANG Panpan
Currently, the topic of food waste and its environmental impacts is attracting increasing attention among academic researchers. Based on an investigation of restaurants in Beijing, this study analyzes the quantities, structures, characteristics and costs of the agricultural resources related to food waste in the catering industry in Beijing. The results show that: (1) The average food waste per capita per meal is about 75.02 g (raw) for food away from home among Beijing urban residents, which means that about 10.52% of the food is wasted. (2) According to the quantitative ranking of different categories of food waste, vegetable is the most wasted, followed by meat, aquatic products, and grains. The foods in the other categories are wasted much less. (3) Food waste is affected by the restaurant type, as well as the number, gender, age, education level, and consumption motivation of the consumers. (4) Based on the estimated food waste per capita, about 417.92 thousand tons of food is wasted annually at the consumption stage in the catering industry in Beijing. This food waste amount is equivalent to approximately 765.53 tons of cereals which are wasted, and this represents 79.66% of cereals production and 13.15% of cereals consumption in Beijing. Estimated by the required land use, this amount of food waste means that the total production of approximately 166.12 thousand ha of arable land is being wasted in Beijing.
  • Apr. 23, 2021
  • Journal of Resources and Ecology
  • Vol.11 Issue, 6 562 (2020)
  • DOI:10.5814/j.issn.1674-764x.2020.06.003
Measurement and Comparison of Urban Haze Governance Level and Efficiency based on the DPSIR Model: A Case Study of 31 Cities in North China
XIAO Qinlin, TIAN Chao, WANG Yanjun, LI Xiuqing, and XIAO Liming
In the decisive stage of developing of a moderately prosperous society in all aspects, hazy weather has become a major obstacle to the further advancement of China. Therefore, improving the level and efficiency of haze governance has become essential. Based on the DPSIR model, this paper builds a haze governance level and efficiency index system using the entropy method and the super-efficiency data envelope-analysis (DEA) model to analyze the data for 31 cities in North China from 2007 to 2016. From the aspects of spatial differences and influence factors influencing the comparative analysis, the results are as follows. (1) During the investigation period, the level and efficiency of city haze governance in North China showed a trend of fluctuation and decline, with obvious stages in their characteristics. Haze governance efficiency is much higher than its level, and its mean value reaches the DEA level which indicates that it is effective. (2) A significant regional gradient difference occurs between these two aspects. The haze governance level presents a convex distribution pattern of “east low-middle high-west low”, while the haze governance efficiency presents a concave distribution pattern of “east high-middle low-west high”. (3) The regression results show that economic growth has a negative effect on both haze governance level and efficiency. By contrast, the industrial structure has a positive effect on haze governance level and efficiency, but the significance of its effect on these two is different. On this basis, policy suggestions are proposed for improving the level and efficiency of haze governance in various cities in North China.
  • Apr. 23, 2021
  • Journal of Resources and Ecology
  • Vol.11 Issue, 6 549 (2020)
  • DOI:10.5814/j.issn.1674-764x.2020.06.002
Economic Development Status of the Countries along the Belt and Road and Their Correlations with Population and Carbon Emissions
ZHONG Yang, LIN Aiwen, ZHOU Zhigao, HE Lijie, and YUAN Moxi
The construction of the Silk Road Economic Belt and the 21st Century Maritime Silk Road are important measures for allowing China to expand its opening up to the outside world under the background of economic globalization. Based on this consideration, and from the perspective of geo-economics, this study uses a variety of mathematical statistical methods to analyze the economic development status and differences among the 30 countries along the Belt and Road. In addition, the correlations between GDP, population and carbon emissions in these countries are also analyzed. The results show that the current economic development levels of the countries along the Belt and Road are quite variable; the gaps between the indicators of the economic development of the countries along the Belt and Road are convergent; the GDP, population, and carbon emissions of the countries along the Belt and Road each showed an overall upward trend during the study period, and the changes in these three values showed significant correlations. Across all countries, the correlation coefficients between GDP and population (0.989), between GDP and carbon emissions (0.995), and between population and carbon emissions (0.993), all indicate that the correlations between GDP, population and carbon emissions are very high. Among them, GDP has the highest correlation with carbon emissions, reaching 0.995. Regression analysis shows that the value of R2 reached 0.995, indicating that the regression fitting effect is very good and the calculation result is highly reliable. Based on these results, this paper proposes the following two suggestions: (1) Promoting the Belt and Road initiative should handle the relationship between developing and developed countries; and (2) Promoting the Belt and Road initiative should also be linked to China's domestic regional development strategy.
  • Apr. 23, 2021
  • Journal of Resources and Ecology
  • Vol.11 Issue, 6 539 (2020)
  • DOI:10.5814/j.issn.1674-764x.2020.06.001
A Comparative Decomposition Analysis of the Factors Driving Energy-related Carbon Emissions from Three Typical Provinces in China: Jiangsu, Henan and Inner Mongolia
LIU Xianzhao*
An accurate understanding of the real situation of energy-related carbon emissions and the main factors driving the carbon emissions increments are crucial for China to realize its emission mitigation targets. Adopting the comparative decomposition of an extended LMDI (Log-Mean Divisia Index) approach, this study decomposed the changes in carbon emissions of Jiangsu, Henan, and Inner Mongolia, which are located in the eastern, central and western parts of China. This analysis led to three main findings. 1) During the period of 1996-2017, the energy-related carbon emissions in the examined provinces exhibited upward trends, but with some differences among the provinces. 2) The influences of driving factors on carbon emissions varied distinctly in different provinces and economic stages. Economic growth had the largest positive effect on provincial carbon emissions increases. From 1996 to 2017, the contribution rates of economic development to emissions growth in Henan, Jiangsu and Inner Mongolia were 307.19%, 205.08% and 161.26%, respectively. This influence was followed by urbanization and population size. 3) Energy intensity played a leading role in facilitating emissions-reduction in the examined provinces, except for during the tenth Five-Year Plan, followed by the energy structure. The effect of rural population proportion was the weakest among all the curbing factors. Furthermore, urban and rural resident°s energy consumption per capita demonstrated relatively minor impacts and disparate directions of influence in the different provinces and economic periods, but began to play increasing roles in driving up provincial emissions changes. For example, residential energy consumption in Jiangsu contributed over 7.9% to the total carbon emission growth in 1996-2017, among which urban residents’ per-capita energy consumption contributed more than 3.8%. In view of these findings, policy makers should formulate targeted emission reduction measures that are based on the distinct situations and key factors which affect carbon emissions in each province.
  • Oct. 17, 2020
  • Journal of Resources and Ecology
  • Vol.11 Issue, 5 483 (2020)
  • DOI:10.5814/j.issn.1674-764x.2020.05.006
Supply and Demand Levels for Livestock and Poultry Products in the Chinese Mainland and the Potential Demand for Feed Grains
HUANG Shaolin, LIU Aimin, LU Chunxia, and MA Beibei
The widening gap between the supply and demand levels for livestock and poultry products in the Chinese mainland poses a significant challenge to the secure supply of feed grains. Therefore, the accurate prediction of the demand potential for feed grains represents a key scientific issue for ensuring food security in the Chinese mainland. This study is based on an analysis of several factors, such as the Chinese mainland’s output, trade volume, apparent consumption of livestock and poultry products, and two different scenarios for predicting the future demand for feed grains are assessed. The results indicate that output and consumption of livestock and poultry products, as well as the country’s trade deficit and the pressure of the supply and demand balance with respect to these products, have been increasing in recent years. The analysis predicts that the demand for feed grains in the Chinese mainland will reach 425.5 or 389.6 million tons in 2030 based on the two scenarios. This finding indicates that with the increasing demand for livestock and poultry products in the Chinese mainland, the demand for feed grains will continue to increase, and the shortfall in feed grains and raw materials will expand further, especially dependence on external sources of protein-rich feed grains will remain high.
  • Oct. 17, 2020
  • Journal of Resources and Ecology
  • Vol.11 Issue, 5 475 (2020)
  • DOI:10.5814/j.issn.1674-764x.2020.05.005