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2022 ◽  
Vol 58 (1) ◽  
pp. 157-160
Author(s):  
Amit Kumar ◽  
L. S. Bareth ◽  
R. Ghaswa ◽  
J. P. Yadav

The National Mission on Oilseed and Oil Palm (NMOOP) in India aims to increase oilseed and oil palm production and productivity by converting fallow lands to oilseed cropsand diversifying regions away from low-yielding cereals. It plans to improve vegetable oilavailability and reduce edible oil imports by increasing oilseed production and productivityfrom 29.79 million tons and 1122 kg/ha in the 12th plan period to 36.10 million tons and1290 kg/ha by the end of 2019-20. The study, aimed to explore respondents’ opinionstowards groundnut cultivation was conducted on 80 beneficiary farmers of NMOOP and80 non-beneficiaries. Groundnut growers, accounting for 11.24 percent, had a less favorableattitude toward groundnut cultivation whereas, 69.38 per cent of respondents fell into themoderately favorable category. It was noted that the both category of respondents hadfavorable attitude towards the interventions of groundnut cultivation.


Author(s):  
Wenmei KANG ◽  
Benfan LIANG ◽  
Keyu XIA ◽  
Fei XUE ◽  
Yu LI

After setting the goal of peaking carbon emissions before 2030 and achieving carbon neutrality before 2060, it has become an irresistible trend for China to decouple carbon emissions from its economic growth. Since cities play a central role in reducing carbon emissions, the issues such as whether and when their carbon dioxide emissions can be decoupled from economic growth have become the focus of attention. Based on the carbon dioxide emissions of 264 prefecture-level cities in China from 2000 to 2017, this paper uses the Tapio decoupling index to measure the decoupling relationship between carbon emissions and economic growth of cities, analyzes the space–time evolution characteristics of carbon emissions and decoupling indexes by stages, and explores the relationship between carbon emissions and socio-economic development characteristics such as per capita GDP and industrial structure. The main conclusions drawn therefrom are as follows: (i) From 2000 to 2017, the city-wide carbon emissions rose from 2.484 billion tons in 2000 to 7.462 billion tons in 2017, registering a total increase of 200.40%. But the growth rate of carbon emissions within cities has been significantly reduced. (ii) As years passed by, the number of cities that achieved strong decoupling saw a significant increase, from zero in the 10th–11th Five-Year Plan period to 14 in the 12th Five-Year Plan period and the first two years of the 13th Five-Year Plan period, accounting for 5.3% of the total number of cities. (iii) There is an inverted U-shaped curve relationship between per capita carbon emissions and per capita GDP, which is consistent with the EKC curve hypothesis, but Chinese cities are still in the growth stage of the quadratic curve currently. The correlation between per capita CO2 emission and the proportion of the secondary industry was positive. The results of this study are expected to provide experience for the low-carbon development of cities in China and other developing countries, and provide references for the formulation and evaluation of policies and measures related to low-carbon economic development based on the decoupling model.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256162
Author(s):  
Shiguang Shen ◽  
Chaoyang Zhu ◽  
Chenjing Fan ◽  
Chengcheng Wu ◽  
Xinran Huang ◽  
...  

The development of China’s manufacturing industry has received global attention. However, research on the distribution pattern, changes, and driving forces of the manufacturing industry has been limited by the accessibility of data. This study proposes a method for classifying based on natural language processing. A case study was conducted employing this method, hotspot detection and driving force analysis, wherein the driving forces industrial development during the “13th Five-Year plan” period in Jiangsu province were determined. The main conclusions of the empirical case study are as follows. 1) Through the acquisition of Amap’s point-of-interest (POI, a special point location that commonly used in modern automotive navigation systems.) data, an industry type classification algorithm based on the natural language processing of POI names is proposed, with Jiangsu Province serving as an example. The empirical test shows that the accuracy was 95%, and the kappa coefficient was 0.872. 2) The seven types of manufacturing industries including the pulp and paper (PP) industry, metallurgical chemical (MC) industry, pharmaceutical manufacturing (PM) industry, machinery and electronics (ME) industry, wood furniture (WF) industry, textile clothing (TC) industry, and agricultural and food product processing (AF) industry are drawn through a 1 km× 1km projection grid. The evolution map of the spatial pattern and the density field hotspots are also drawn. 3) After analyzing the driving forces of the changes in the number of manufacturing industries mentioned above, we found that manufacturing base, distance from town, population, GDP per capita, distance from the railway station were the significant driving factors of changes in the manufacturing industries mentioned above. The results of this research can help guide the development of manufacturing industries, maximize the advantages of regional factors and conditions, and provide insight into how the spatial layout of the manufacturing industry could be optimized.


Significance China has paid a high price for more than four decades of draconian controls on family formation. Slowing population growth and structural shifts within the population have generated a demographic 'perfect storm'. Impacts Allowing couples to have three children will not increase the fertility rate enough to prevent demographic shrinkage and ageing. Rising spending on pensions, healthcare and elderly care may squeeze spending on industrial development and infrastructure. Policies to promote innovation and efficiency are even more urgent; the current Five-Year Plan period (2021-25) will be critical.


2021 ◽  
Author(s):  
Xudong Zhou ◽  
Zhengkai Xue ◽  
Jumeniyaz Seydehmet

Abstract Located in the northwest of China, Xinjiang is a typical arid desert area and mineral resources development zone. Lacking water resources and a fragile ecological environment restricts the sustainable development of the region. Based on the industrial panel data of Xinjiang from 2001 to 2015, this paper uses the Undesirable Output SBM model, Malmquist index model, and Tobit regression model to comprehensively and systematically measure and evaluate the industrial eco-efficiency and its change characteristics from provincial, regional and prefectural levels. The results show that:(1) The level of industrial eco-efficiency in Xinjiang is generally low, lower than the national average, but it has been rising steadily over time, from 0.36 in 2001 to 1.00 in 2008, and from 0.41 in the "Tenth Five-Year Plan" period to 0.99 in the "Twelfth Five-Year Plan" period. (2) The industrial ecological efficiency of Xinjiang is not balanced in space. Northern Xinjiang is larger than that of eastern Xinjiang and southern Xinjiang. The prefectures have uneven and asynchronous development, which can be divided into two development modes: industrial region and agriculture and animal husbandry region. (3) Through the decomposition analysis of the Malmquist index, it is found that the technology progress index is the restriction factor of the changing trend of TFP, while the technical efficiency index and the pure technical efficiency index are the promoting factors. (4) The main factors causing the loss of ecological efficiency are industrial sulfur dioxide emissions, industrial nitrogen oxide emissions, total industrial water consumption, general industrial solid waste. It can be seen that the emission of air pollutants and excessive industrial water are the main problems in the region. (5) Industrial ecological efficiency is positively correlated with industrial development level, scientific and technological innovation, industrial structure, and environmental planning, and negatively correlated with opening up and industrial agglomeration degree. (6) Xinjiang is an extremely arid and water-scarce region. These are the key and prerequisite of saving water resources and strengthening the comprehensive utilization of water resources. Water- saving should be given top priority no matter in industrial areas, or agricultural and animal husbandry areas.


2021 ◽  
Vol 252 ◽  
pp. 03028
Author(s):  
Duan Liu

In national environment of energy conservation and emission reduction and green building in China, the development of green building has been gradually promoted in Henan Province. During the 13th Five-Year Plan period, the green building had developed for several decades in Henan Province, and the application of its technology is developing from a diversified perspective. From the analysis of the current development status, although the energy efficiency level of green building has increased by 20% compared with the 12th Five-Year Plan period, green buildings develop in varying degrees in various cities in Henan province. Due to the high cost of green building, the green building policy is not thoroughly implemented in the whole process. It is urgent to improve the current industrial structures in such a state, change the traditional architectural structures, transform and upgrade the construction industry.


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