scholarly journals Research on Industry Development Path Planning of Resource-Rich Regions in China from the Perspective of “Resources, Assets, Capital”

2021 ◽  
Vol 13 (7) ◽  
pp. 3988
Author(s):  
Mingkai Liu ◽  
Changxin Liu ◽  
Shouting Zhang ◽  
Baoyin Liu ◽  
Yi Sun ◽  
...  

The development of industries in China’s resource-rich regions is mainly affected by resource reserves, environmental protection, and industrial structural adjustment. The development of resource-oriented industries that can’t support a high-quality regional economy is large but not well developed. This article considers China’s resource product imports and exports, carbon emissions, and industrial structure ratio factors in recent years. It is believed that China’s resource-rich regions have macro-level development bottlenecks, and the general development of a resource-based industries path is proposed based on the perspective of “resources, assets, and capital”. Taking Guangxi Zhuang Autonomous Region as an empirical case, this article analyzes the pattern of regional industrial development by using the input-output method, calculates the degree of inter-industrial correlation, and constructs a regional industrial development system. The results show the following: 1. China’s overall industrial development pattern has undergone major changes; 2. emerging industries and service-oriented industries have risen in development status, and although resource-based industries have a weaker development momentum, they still have an important position; 3. the hierarchical industry development management model is helpful for forming a regional circular economy innovation development pattern. The results also indicate that the integrated management of “resources, assets, and capital” has a positive effect on the development of resource-based industries in resource-rich regions, which affects the overall industrial development pattern of the region and promotes economic development.

2011 ◽  
Vol 418-420 ◽  
pp. 2282-2285
Author(s):  
Yun Zhe Liu ◽  
Guo Bin Lu

Fuxin is the first batch of resource type city and economic transformation pilot city, it research the development strategy of equipment manufacturing industry of Fuxin, it plays an important role in changing Fuxin’s single industrial structure and building diversified industrial development pattern. Though analysis the equipment manufacturing industry’s present situation of Fuxin, this thesis sum up the problems that urgently to be solved of Fuxin’s equipment manufacturing industry, and put forward the development and the security measures of Fuxin’s equipment manufacturing industry according to the actual situation in enlarging industrial scale, enhancing the ability of independent innovation, speeding up the implementation of brand management strategy, personnel training strategy, perfecting policy guarantee measures, strive to build the basic framework of Fuxin’s equipment manufacturing industry development strategy which can provide reference to government and enterprises in making plans.


2020 ◽  
Vol 12 (19) ◽  
pp. 8016
Author(s):  
Feng Wang ◽  
Min Wu ◽  
Jiachen Hong

To achieve the national carbon intensity (NCI) target, China should adopt effective mitigation measures. This paper aims to examine the effects of key mitigation measures on NCI. Using the input-output table in 2017, this paper establishes the elasticity model of NCI to investigate the effects of industrial development, intermediate input coefficients, energy efficiency, and residential energy saving on NCI, and further evaluates the contributions of key measures on achieving NCI target. The results are shown as follows. First, the development of seven sectors will promote the increase of NCI while that of 21 sectors will reduce NCI. Second, NCI will decrease significantly with the descending of intermediate input coefficients of sectors, especially electricity production and supply. Third, improving energy efficiency and residential energy saving degree could reduce NCI, but the latter has limited contribution. Fourth, the development of all sectors will reduce NCI by 10.11% in 2017–2022 if sectors could continue the historical development trends. Fifth, assuming that sectors with rising intermediate input coefficients would keep their coefficients unchanged in the predicting period and sectors with descending coefficients would continue the historical descending trend, the improvement of technology and management of all sectors will reduce NCI by 14.02% in 2017–2022.


Author(s):  
Witold Kwasnicki

AbstractThis paper presents an evolutionary model of industry development, and uses simulations to investigation the role of diversity and heterogeneity in firms’ behaviour, and hence industrial development. The simulations suggest that economic growth is increased with greater variety, in the sense of the evolutionary process approaching the equilibrium faster and also, in the long run, moving faster from one equilibrium to a new, more advanced, equilibrium. This occurs due to higher variety caused by a more tolerant environment, and due to the higher probability of emergence of radical innovations.


Water ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 3452
Author(s):  
Xue Jin ◽  
Shiwei Zhou ◽  
Ussif Rashid Sumaila ◽  
Kedong Yin ◽  
Xinman Lv

The joint development of continental and marine economies has become an important driving force for the upgrading of industrial structures. However, because of the differences in resource endowment and development potential, developing industrial structures and the quality of economic development are uneven among regions. In this study, the added values of three land-sea industries in the three marine economic circles of northern, eastern, and southern China, were employed to clarify the evolutionary behavior of the industrial structure of these three circles on the land and sea; the synchronization, lag, equilibrium, and dislocation of developing the industrial structure were also explored which a gray relational model based on convex judgment and gray time difference analyses were used to construct a relational model from the static and dynamic aspects of the system, and the internal and external linkages of the industrial structure of the three circles were analyzed from the perspective of industrial correlation. The results show that: (1) Correlations among the linkages of the three economic circles in the marine industrial structure, both including and without temporal and spatial differences, and the marine feedback driver, differ markedly. (2) The effects of feedback for marine industrial development from the Eastern Marine Economic Circle were stronger, whereas those of the Southern Marine Economic Circle were weak and those of the Northern Marine Economic Circle were ambiguous. (3) A significant difference was observed in the degree of coevolution among the land-sea industrial structures of these areas. The Northern Marine Economic Circle exhibited a slightly higher degree of coevolution than the other two economic circles, showing a stable trend of coevolution and wide spatial development. The eastern and southern circles displayed high degrees of coordination in developing their industrial structures. The research results provide a reference for regional adjustment and optimization of industrial structure.


2021 ◽  
Vol 13 (16) ◽  
pp. 9014
Author(s):  
Yongjiao Wu ◽  
Huazhu Zheng ◽  
Yu Li ◽  
Claudio O. Delang ◽  
Jiao Qian

This paper investigates carbon productivity (CP) from the perspectives of industrial development and urbanization to mitigate carbon emissions. We propose a hybrid model that includes a spatial lag model (SLM) and a fixed regional panel model using data from the 17 provinces in the central and western regions of China from 2000 to 2018. The results show that the slowly increasing CP has significant spatial spillover effects, with High–High (H–H) and Low–Low (L–L) spatial distributions in the central and western regions of China. In addition, industrial development and urbanization in the study area play different roles in CP, while economic urbanization and industrial fixed investment negatively affect CP, and population urbanization affects CP along a U-shape curve. Importantly, the results show that the patterns of industrial development and urbanization that influence CP are homogenous and mutually imitated in the 17 studied provinces. Furthermore, disparities in CP between regions are due to industrial workforce allocation (TL), but TL has been inefficient; industrial structure upgrades are slowly improving conditions. Therefore, the findings suggest that, in the short term, policymakers in China should implement industrial development policies that reduce carbon emissions in the western and central regions by focusing on improving industrial workforce allocation.


2021 ◽  
Vol 235 ◽  
pp. 02011
Author(s):  
He Jiang ◽  
Yonghui Cao

With the development of knowledge economy and the advancement of economic globalization, strategic emerging industries have become the leading industries for a country or region to achieve sustainable economic growth in the future. They are the high integration of emerging technologies and emerging industries, and the driving force of national economic growth. They play an important guiding and decisive role in the national economic growth and the transformation and upgrading of industrial structure. In recent years, China’s strategic emerging industries continue to grow rapidly, and have made remarkable achievements in innovation and development, which play an important role in the national economic growth and the transformation and upgrading of industrial structure, but there are also shortcomings. Based on the current situation of the development of strategic emerging industries, this paper analyzes the role of strategic emerging industries in economic development, and puts forward countermeasures and suggestions for strategic emerging industries to boost high-quality economic development.


Author(s):  
J. S. Almeida ◽  
J. M. Costa ◽  
P. X. Pamplona ◽  
P. B. Maracajá ◽  
W. F. Melo

<p>Este trabalho teve como objetivo zonear os níveis de deterioração ambiental na paisagem entre os anos de 2001 e 2012, adotando os critérios da ecodinâmica nos municípios que compõe o polo de desenvolvimento agroindustrial do Alto Piranhas. Foram realizadas análises envolvendo a dinâmica da paisagem e da vulnerabilidade ambiental. A metodologia utilizada na pesquisa foi baseada em localizações pontuais, que inclui o processo de selecionar e combinar, através de procedimento de álgebra de mapas disponíveis em um SIG, cada variável geográfica contém diferenciação espacial e a combinação entre elas promove a subdivisão do espaço geográfico em regiões equiproblemáticas. Tomando-se por base as superposições dos mapas geológico, geomorfológico e pedológico foi efetuado o mapa de zoneamento ambiental, com informações que permitiram identificar as condições do meio natural e suas aptidões. Esses fatores foram comparados entre si, conforme a importância atribuída a elas. Os resultados indicaram que as áreas centrais concentram as classes com maiores riscos ambientais, como as instáveis (risco ambiental entre 60 e 80%), e as de instabilidade emergente (risco maior que 80. Já nas áreas distribuídas em toda a área de estudo encontra-se as áreas com risco ambiental entre 40 e 60% (instabilidade moderada). Com base na análise, percebe-se que a área de estudo possui um tênue equilíbrio por estar localizado em ambiente semiárido que pode ser rompido com facilidade com a intensificação das atividades agroindustriais.</p><p align="center"><strong><em>Environmental zoning polo agro industry development of Alto Piranhas, </em></strong><strong>Paraíba State</strong><strong><em></em></strong></p><p class="HOLOS-ResumoeAbstract"><strong>Abstract</strong><strong>: </strong>This study aimed to zone the levels of environmental deterioration in the landscape between the years 2001 and 2012, adopting the criteria of ecodynamics municipalities that make up the hub of agro-industrial development of the Alto Piranhas. Analyzes involving the dynamics of landscape and environmental vulnerability were performed. The methodology used in this research was based on specific locations, including the process of selecting, combining, through map algebra available in a GIS procedure, each geographical variable contains spatial differentiation, and the combination between them promotes the geographical subdivision of space equiproblemáticas regions. Taking as a basis the superimposition of geological, geomorphological and pedological maps was made environmental zoning map, with information that allowed the identification of the conditions of the natural environment and their skills. These factors were compared according to the importance assigned to them. The results indicated that the central areas concentrate the classes with larger environmental hazards such as unstable (environmental risk between 60 and 80%), and the emerging instability (greater than 80 risk. Already on distributed throughout the area of study areas located the areas with environmental risk between 40 and 60% (moderate unrest). Based on the analysis, it is noticed that the study area has a fine balance to be located in semiarid environment that can be broken easily with the intensification of agribusiness activities.</p>


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