Evaluation of Green Development Efficiency of the Major Cities in Gansu Province, China

2021 ◽  
Vol 13 (6) ◽  
pp. 3034
Author(s):  
Rongrong Liu ◽  
Dong Chen ◽  
Suchang Yang ◽  
Yang Chen
Keyword(s):  
Industrial Structure ◽  
Gansu Province ◽  
Green Economy ◽  
Pollutant Emission ◽  
Average Value ◽  
Green Development ◽  
Study Results ◽  
Innovation Capacity ◽  
Input Redundancy ◽  
Emission Output

Green development (GD) has become a new model of sustainable development across the world. However, our knowledge of green development efficiency (GDE) in Gansu province is poor. In remedy, this study, based on the panel data of 12 major cities in Gansu from 2010 to 2017, employed the super-efficient Slack-based measure (SBM) to analyze and evaluate GDE from the input–output perspective. Furthermore, we analyzed the input redundancy and output deficiency of identified inefficient cities in 2017 and conducted spatial autocorrelation analysis of GDE of the cities under study. Results show differences in the GDE of the major cities in Gansu, with an average value of 0.985. Green development efficiency in Lanzhou, Qingyang, Jinchang, Jiuquan, and Tianshui was relatively higher than in other cities. Green development efficiency in Zhangye, Wuwei, Jiayuguan, Baiyin, Dingxi, Longnan, and Longnan was less than one due to their redundant labor and capital input and excessive pollutant emission output. The overall GDE in Gansu depicts “high east and low west” zones. Each city in Gansu needs to formulate targeted policies and regulations to improve resource utilization, innovation capacity, reduce pollutant emission, optimize the industrial structure, and promote inter-city cooperation to construct a sustainable green economy.

scholarly journals Industrial Structure Adjustment and Regional Green Development from the Perspective of Mineral Resource Security

2020 ◽  
Vol 17 (19) ◽  
pp. 6978
Author(s):  
You Zheng ◽  
Jianzhong Xiao ◽  
Jinhua Cheng
Keyword(s):  
Mineral Resource ◽  
Industrial Structure ◽  
Negative Impact ◽  
Structural Effect ◽  
Green Economy ◽  
Green Development ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment ◽  
The Impact ◽  
Resource Security

Mineral resource security is the premise and foundation of the regional green rise strategy. And the adjustment of industrial structure is an effective way to relieve the pressure of the current green economy transformation. Based on the Shift-share Method and the Spatial Durbin model, this paper takes 30 regions in China from 2006 to 2017 as examples to study the impact of industrial structure adjustment on China’s green development from the perspective of mineral resource security. The empirical results show that: China is still in the process of industrial transfer. The dynamic effect of industrial structure promotes green development from the perspective of mineral resource security, while its static effect inhibits green development from the perspective of mineral resource security. The spatial spillover effect of the industrial structure affecting green development from the perspective of mineral resource security is significant. The static structural effect of the tertiary industry promotes the green development of the region, and it has a significant negative impact on neighboring areas, while the secondary industry’s static structural effect has the opposite effect.

scholarly journals Will Digital Inclusive Finance Make Economic Development Greener? Evidence From China

2021 ◽  
Vol 9 ◽  
Author(s):  
Guangqin Li ◽  
Xubing Fang ◽  
Maotao Liu
Keyword(s):  
Industrial Structure ◽  
Threshold Model ◽  
Generalized Method Of Moments ◽  
Policy Implications ◽  
Green Economy ◽  
Producer Services ◽  
Variable Model ◽  
Green Development ◽  
Internal Mechanism ◽  
The Impact

This paper aimed to accurately assess the driving effect of digital inclusive finance (DIF) on green economic growth, better implement DIF-related policies, and promote the development of green economy. Based on the urban panel data from 2011 to 2018 and the DIF index, this paper investigates the impact of DIF on economic green development and its internal mechanism. The results show that there is a significant positive U-shaped nonlinear relationship between DIF and green development. Through the robustness test of the threshold model, instrumental variable model (IV), and system generalized method of moments (SYS-GMM) model, the results are still valid. The mechanism research shows that the DIF can indirectly promote China’s green development by the coagglomeration degree of producer services and optimize and upgrade industrial structure. This study provides policy implications for developing countries around the world to achieve green development by promoting the DIF level.

PENERAPAN PEMBELAJARAN MATEMATIKA REALISTIK INDONESIA (PMRI) UNTUK MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS I SD NEGERI 011 BUKIT GAJAH KECAMATAN UKUI KABUPATEN PELALAWAN

2017 ◽  
Vol 5 (3) ◽  
pp. 451
Author(s):  
Ipi Hanapiati
Keyword(s):  
Learning Outcomes ◽  
Mathematics Learning ◽  
Learning Activities ◽  
Average Value ◽  
Study Results ◽  
Teachers And Students

This research was motivated by the low results of students' mathematics learning. Of the 35students only 15 students (40.54%) who completed study results, while the average valueobtained by the students was 68.65. This study aims to increase the students' mathematicslearning through PMRI. This research is a class act who performed two cycles. Based on theresearch of learning outcomes and learning activities teachers and students expressedincreased. In the first cycle 1 meeting activities for teachers to get a score of 14 (70%), in thefirst cycle 2 meeting increased with a score of 15 (75%). In the second cycle 1 meeting obtaina score of 17 (85%) and the second cycle 2 meeting obtain a score of 18 (90%). Besides thestudent activity also increased in the first cycle of meeting one activity students obtain a scoreof 12 (60%), in the first cycle 2 meeting increased with a score of 16 (80%). In the secondcycle 1 meeting obtain a score of 17 (85%) and the second cycle 2 meeting obtain a score of17 (85%). The results of students' mathematics learning increases the basic score averagevalue obtained was 68.65 increase in the first cycle with an average value of 95.41 hasincreased in the second cycle with an average value of 97.97.

A study on approaches to the interpretation of concepts of industrial complex and integrated structure of industry

2021 ◽  
Vol 20 (5) ◽  
pp. 905-923
Author(s):  
Oksana S. DROBKOVA
Keyword(s):  
Industrial Structure ◽  
Industrial Complex ◽  
Regional Specialization ◽  
Industrial Enterprises ◽  
Study Results ◽  
Analysis And Synthesis ◽  
Complex Development ◽  
Environmental Component ◽  
Unique Interpretation ◽  
The Stability

Subject. The article investigates the essence and salient features within the study of the industrial complex and integrated industrial structure categories. Objectives. The purpose is to research and develop definitions, study approaches to the industrial complex category, and underpin my unique interpretation. Methods. The study applies methods of analysis and synthesis, the systematization, formalization, and comparative analysis approach. Theoretical and methodological provisions contained in the works on industry development by domestic and foreign scientists, and legal documents, serve as the basis of the study. Results. I offer my interpretation of an industrial complex, as a challenging structure, represented by industrial enterprises and characterized by the stability of production cooperation chains, close interrelation of industry and regional specialization, providing for the digital transformation of industry, and subject to the environmental component. The paper identifies key properties of industrial complex, offers a classification by industry specifics, localization, diversification, and the level of State participation. Conclusions. The findings may be used as an element of theoretical basis to support management decisions on industrial complex development.

Research on the Spatial Effect of Green Economic Efficiency in China from the Perspective of Informatization

2020 ◽  
Author(s):  
Xinbao Tian ◽  
Chuanhao Yu
Keyword(s):  
Industrial Structure ◽  
Spillover Effect ◽  
Coordination Mechanism ◽  
Green Economy ◽  
Spatial Econometric ◽  
Index Method ◽  
Spatial Spillover ◽  
Regional Coordination ◽  
Comprehensive Index Method ◽  
Spatial Spillover Effect

Abstract Background: Green economy has been paid more and more attention in the information age. Informatization plays an important role in the development of green economy by the transmission of industrial structure rationalization and upgrading. Because of the spatial mobility of information, it is necessary to study the spatial spillover effect of information on the efficiency of green economy. In this paper, the non-radial directional distance function and the comprehensive index method are used to evaluate the efficiency of green economy and informatization respectively. On this basis, the spatial characteristics of the two are analyzed. Finally, the spatial econometric model is used to analyze the spatial impact of informatization on the efficiency of green economy. Results: The following findings can be drawn: (i)The spatial distribution of the green economy efficiency and informatization are unbalanced; (ii) There is a significant spatial spillover effect in the efficiency of green economy; (iii) The development of informatization plays an important impact on the efficiency of green economy. Conclusions: It can be seen that informatization plays an important role in the development of green economy, so we can get the following suggestions: (i) Developing green economy according to different conditions of different places. (ii) Establishing regional coordination mechanism of green economic development. (iii) Using informatization to promote the development of green economy.

Research of Land Use Efficiency in Mountainous Township Based on the Methods of DEA

2012 ◽  
Vol 209-211 ◽  
pp. 507-511
Author(s):  
Yu He ◽  
Li Li Huo
Keyword(s):  
Land Use ◽  
Industrial Structure ◽  
Living Environment ◽  
Scale Efficiency ◽  
Mountain Areas ◽  
Land Use Efficiency ◽  
Study Results ◽  
Close Relationship ◽  
Output Efficiency ◽  
Use Efficiency

Town land is the carrier of town’s economy, society and environment, and its land use efficiency has a close relationship with town’s economic development as well as living environment construction. This study selects towns of Zigui County as research objects to explore characteristics of land use efficiency in mountain areas. The study results show that: 1) Maoping, Lianghekou, Meijiahe and Moping, of which technical efficiency and scale efficiency equal to 1, achieve the best condition of land use efficiency. 2) In Quyuan, Guizhou, Shuitianba, Xietan and Zhouping, moderately enlarging towns’ scale will be helpful to strengthen agglomeration economy effect, and improve towns land use efficiency. While in Shazhengxi, Yanglinqiao and Guojiaba, it needs to decrease these towns’ scale moderately to prevent the waste of resource. 3) Inputs’ inefficiency and outputs’ insufficiency are the main factors result in the differences of input and output efficiency. 4) Accelerate Industrial Restructuring, optimize Industrial Structure, improve service efficiency of fixed assets investments, appropriately control the scale of construction land are the most important way to improve land use efficiency in Zigui County.

Exploring the efficiency of new energy generation: Evidence from OECD and non-OECD countries

2019 ◽  
Vol 31 (3) ◽  
pp. 389-404
Author(s):  
Xin Long Xu ◽  
Sen Qiao ◽  
Hsing Hung Chen
Keyword(s):  
Stochastic Frontier Analysis ◽  
Industrial Structure ◽  
Negative Impact ◽  
Stochastic Frontier ◽  
Energy Generation ◽  
Oecd Countries ◽  
Biofuel Production ◽  
Frontier Analysis ◽  
Study Results ◽  
New Energy

In this study, we defined new energy generation inputs as the installed capacity of solar energy, wind power, geothermal energy and biofuel production, and we defined electricity from new energy as an output indicator. Based on panel data in OECD and non-OECD countries from 2007 to 2016, we used stochastic frontier analysis to calculate the efficiency of new energy generation and analyzed the influencing factors. We found the following results: the efficiency of global new energy generation is improving; the energy price, technological progress and education level have positive impacts on the efficiency of new energy generation; and industrial structure and opening up have a negative impact on the efficiency of new energy generation. Based on our study results, we offer some recommendations to promote the development of new energy generation.

scholarly journals The Impact of High-Tech Industry Agglomeration on Green Economy Efficiency—Evidence from the Yangtze River Economic Belt

2019 ◽  
Vol 11 (19) ◽  
pp. 5189 ◽  
Author(s):  
Weiliang Chen ◽  
Xinjian Huang ◽  
Yanhong Liu ◽  
Xin Luan ◽  
Yan Song
Keyword(s):  
Economic Development ◽  
Yangtze River ◽  
Green Economy ◽  
High Tech ◽  
The Yangtze River ◽  
Development Mode ◽  
High Tech Industry ◽  
Industry Agglomeration ◽  
Green Development ◽  
The Impact

Development is the eternal theme of the times. However, the transformation of the development mode is imminent, and we should abandon the extensive economic development mode and turn to the efficient development of an intensive mode. The high-tech industry will be the decisive force in future industrial development. The agglomeration of the industry will help form economies of scale, thereby improving the effective allocation of resources and promoting productivity. The increase in green economy efficiency is a key factor in achieving green development and an important indicator of achieving the coordinated development of economic development and environmental protection. Therefore, in this study, we try to improve the efficiency of the green economy through industrial agglomeration to achieve green development. In order to solve this problem, we took the Yangtze River Economic Belt as the research object, used Super Slacks-based Measure (SBM) data envelopment analysis (DEA) and general algebraic modeling system (GAMS) to study the green economy efficiency, and then used the system generalized moment method (SGMM) to study the impact of high-tech industry agglomeration on green economy efficiency. According to the empirical test, we found that (1) the green economy efficiency of the Yangtze River Economic Belt shows a volatile upward trend, (2) the green economy efficiency of the Yangtze River Economic Belt differs with time and by region, (3) the agglomeration of the high-tech industry has a lagging effect on the improvement of green economy efficiency, and (4) the regression coefficients of economic development and foreign direct investment are positive and those of environmental regulation and urbanization are negative. Finally, in this paper, we provide corresponding policy recommendations to promote the agglomeration of high-tech industries, thereby improving the efficiency of the green economy.

scholarly journals Assessing the Ecological Carrying Capacity Based on Revised Three-Dimensional Ecological Footprint Model in Inner Mongolia, China

2019 ◽  
Vol 11 (7) ◽  
pp. 2002 ◽  
Author(s):  
Yening Wang ◽  
Yuantong Jiang ◽  
Yuanmao Zheng ◽  
Haowei Wang
Keyword(s):  
Carrying Capacity ◽  
Inner Mongolia ◽  
Ecological Footprint ◽  
Industrial Structure ◽  
Three Dimensional ◽  
Factors Affecting ◽  
Ecological Carrying Capacity ◽  
Green Development ◽  
Positive Linear Correlation ◽  
Industrial Structure Adjustment

Under the concept of green development, accurately mapping ecological carrying capacity to effectively evaluate regional sustainability has already become an important issue in China. This study introduced ecological carrying capacity intensity (ECintensity) based on the revised three-dimensional ecological footprint (3DEF) model to describe the temporal–spatial patterns of three-dimensional ecological carrying capacity (EC3D) in Inner Mongolia in 2010–2016 and to explore factors affecting socioeconomic sustainable development. The results showed that ecological footprint size (EFsize) differed between cities/leagues but changed little during the study period. Ecological footprint depth (EFdepth) far exceeded the original value of 1.00. Ecological carrying capacity (EC) varied in cities/leagues, while ECintensity increased slowly with stronger potential for regional development. Three-dimensional ecological deficits (ED3D) of cities/leagues were divided into five categories: Hohhot, Hulunbuir and Banyannur were in larger ecological surplus; Hinggan was in slight surplus; Baotou, Chifeng, Tongliao, Ulanqab, Xilin Gol and Erdos were in slight deficit; Wuhai was in stronger deficit; and Alxa was in severely intense deficit. Woodland of cities/leagues was continuously in slight ecological surplus, while cropland and grassland had crucial impacts on deficit. There was a significant positive linear correlation between gross domestic product (GDP) and footprint, while a negative correlation was seen with deficit. These results would help coordinate resource utilization and industrial structure adjustment in Inner Mongolia.

scholarly journals Reference values of cadmium concentration in the hair of residents of the Gornyi Altai

2021 ◽  
Vol 100 (4) ◽  
pp. 307-312
Author(s):  
Elena A. Chanchaeva ◽  
Vitaliy S. Lapin ◽  
Maria G. Sukhova ◽  
Tatyana K. Kurylenko ◽  
Roman I. Aizman
Keyword(s):  
Reference Values ◽  
Internal Combustion Engines ◽  
Cadmium Concentration ◽  
Reference Value ◽  
Absorption Spectrometry ◽  
Acceptable Level ◽  
Household Waste ◽  
Average Value ◽  
Study Results ◽  
Gornyi Altai

Introduction. There is a global trend of increasing the Cd level of the environment because of enlarged compounds content in the industry, agriculture (cadmium-phosphate fertilizers), burning solid and liquid fuels, and solid household waste. Data on the quantitative accumulation of Cd in human hair in various regions of Russia is necessary to determine Cd content reference value to evaluate the degree of its excess among the population. Material and methods. The Cd content in the hair of the population of Gorno-Altaisk was determined by atomic absorption spectrometry to evaluate regional values to compare them with the all-Russian reference data. Results. The average value of Cd concentration in the hair of the population of Gorno-Altaisk was 0.16 mg/kg; according to this index value, the excess was found in 34.9% of residents, relative to the all - Russian index - in 54.5%. Deviations from the upper limits of the biologically acceptable level were 6.5% and 1.6%, respectively. Discussion. The study results coincide with the literature data on reference values and excess of the local populaton’s biologically acceptable level compared with other regions. There is a low probability of Cd ingestion with food and drinking water in concentrations exceeding acceptable values. Universal sources of Cd human body intake (solid-fuel heating systems, internal combustion engines) determine a homogeneous picture of Cd accumulation in the hair in the Gornyi Altai population in Altai and other regions. Conclusion. The reference values of Cd content in the hair of residents of the administrative center of the Altai Republic correspond to the average values in the variation range of different regions, and the percentage of people who exceed the permissible level among the population of Gorno-Altaisk also does not differ from other industrial regions.

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