An Empirical Study on China’s Regional Carbon Emissions of Agriculture

2013 ◽  
Vol 4 (4) ◽  
pp. 67-77
Author(s):  
Li Pang ◽  
Jingyuan Zhao
Keyword(s):  
Energy Efficiency ◽  
Empirical Study ◽  
Carbon Emissions ◽  
Agricultural Development ◽  
Industrial Structure ◽  
Influential Factors ◽  
The West ◽  
Development Level ◽  
Labor Transfer

Based on China’s carbon emissions of agriculture, the authors appraise the area differentiation of carbon emissions of agriculture; examine the influential factors of agricultural carbon emissions in China. The results show that the performance of China’s agricultural carbon emissions is on the rise. The agricultural carbon emissions in the west of China increase rapidly. The area differentiation of agricultural carbon emissions in China decreases. In general, the major driver of carbon emissions is agricultural development level. Industrial structure, energy efficiency and labor transfer have significant effects on the performance of agricultural carbon emissions.

Analysis on Determining Factors of Regional Construction Land Carbon Emissions

2014 ◽  
Vol 587-589 ◽  
pp. 3-6
Author(s):  
Na Lu ◽  
Yong Sun
Keyword(s):  
Energy Efficiency ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Guizhou Province ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Local Conditions ◽  
Intensity Effect ◽  
Construction Land ◽  
Industrial Carbon

It's important to discuss how to reduce construction land carbon emissions which is helpful for realizing low-carbon and efficient utilization of land. First, this paper chose three representative regions on construction land carbon intensity, namely Beijing, Hubei province and Guizhou province; second, based on LMDI method, it analyzed the contribution of different industrial carbon intensity effect and industrial structure effect to construction land carbon intensity in different regions between 2002 and 2008, the results show proposing the second industrials energy efficiency (65.11%) was crucial for Beijing, different industries's energy efficiency (110.5%) was important for Hubei, energy efficiency and industrial structure optimizing were crucial equally for Guizhou; finally it proposed different regions should find carbon reduction ways to local conditions.

scholarly journals An Empirical Study on the Impact Path of Urbanization to Carbon Emissions in the China Yangtze River Delta Urban Agglomeration

2019 ◽  
Vol 9 (6) ◽  
pp. 1116 ◽  
Author(s):  
Feng Wang ◽  
Mengnan Gao ◽  
Juan Liu ◽  
Yuhui Qin ◽  
Ge Wang ◽  
...  
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Yangtze River ◽  
Industrial Structure ◽  
Yangtze River Delta ◽  
River Delta ◽  
Test Method ◽  
The Yangtze River ◽  
Development Level ◽  
The Yangtze River Delta

Urbanization is an important factor in the growth of carbon emissions, as the city is a dense area of carbon emissions. This paper estimates the carbon emissions at the provincial, municipal, and county spatial scales in the Yangtze River Delta region during 2008–2015. On this basis, this paper makes a comprehensive analysis of the pathway and difference of the urbanization to the carbon emission by using the scale variance decomposition method, the space correlation analysis method, the mediation effect test method, and the space panel data model. The results show that the urbanization of the Yangtze River Delta has a significant positive impact on carbon emissions; The pathway from urbanization to industrial structure has a significant impact on carbon emissions. Although the pathway from industrial structure to urbanization to carbon emissions is insignificant, the industrial structure directly affects carbon emissions. There is a significant path from urbanization to the level of economic development to carbon emissions, but there is no mechanism for the economic development level to adversely affect the level of urbanization and thus affect carbon emissions; the chain action pathway from the urbanization level to the employment level to the economic development level to carbon emissions is not significant. Finally, based on the research conclusions, the corresponding policy recommendations are submitted.

scholarly journals Research on Carbon Emission Scale and Influencing Factors of Green Logistics Industry in Jiangsu, Zhejiang and Shanghai

2021 ◽  
Vol 248 ◽  
pp. 02043
Author(s):  
Fanxin Zeng
Keyword(s):  
Economic Growth ◽  
Energy Efficiency ◽  
Economic Development ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Energy Structure ◽  
Green Logistics ◽  
Logistics Industry ◽  
Structure Factors ◽  
Economic Growth Factors

The Jiangsu, Zhejiang and Shanghai areas are important areas for my country’s economic development. Its logistics industry is showing a trend of great development, but economic development has also caused considerable pressure on the environment. The paper uses the energy coefficient method to estimate the carbon emissions of the logistics industry in Jiangsu, Zhejiang and Shanghai from 2003 to 2016, and quantitatively analyzes the five factors of energy structure, energy efficiency, industrial structure, economic growth and population. The research results show that the energy structure factors and industrial structure factors in the Jiangsu, Zhejiang and Shanghai regions have a restraining effect on the increase in carbon emissions of the logistics industry, while energy efficiency factors, demographic factors and economic growth factors have an effect on the carbon emissions of the logistics industry. The increase in emissions has a boosting effect. Finally, from the aspects of improving energy efficiency, energy structure, industrial structure, etc., it puts forward specific suggestions and countermeasures for the development of green logistics in Jiangsu, Zhejiang and Shanghai.

scholarly journals Spatial-Temporal Characteristics of the Driving Factors of Agricultural Carbon Emissions: Empirical Evidence from Fujian, China

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3102 ◽  
Author(s):  
Yihui Chen ◽  
Minjie Li ◽  
Kai Su ◽  
Xiaoyong Li
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Industrial Structure ◽  
Arable Land ◽  
Added Value ◽  
Agricultural Labor ◽  
Intergovernmental Panel ◽  
Per Capita

With the development of agricultural modernization, the carbon emissions caused by the agricultural sector have attracted academic and practitioners’ circles’ attention. This research selected the typical agricultural development province in China, Fujian, as the research object. Based on the carbon emission sources of five main aspects in agricultural production, this paper applied the latest carbon emission coefficients released by Intergovernmental Panel on Climate Change of the UN (IPCC) and World Resources Institute (WRI), then used the ordered weighted aggregation (OWA) operator to remeasure agricultural carbon emissions in Fujian from 2008–2017. The results showed that the amount of agricultural carbon emissions in Fujian was 5541.95 × 103 tonnes by 2017, which means the average amount of agricultural carbon emissions in 2017 was 615.78 × 103 tonnes, with a decrease of 13.13% compared with that in 2008. In terms of spatial distribution, agricultural carbon emissions in the eastern coastal areas were less than those in the inland regions. Among them, the highest agricultural carbon emissions were in Zhangzhou, Nanping, and Sanming, while the lowest were in Xiamen, Putian, and Ningde. In addition, this paper selected six influencing variables, the research and development intensity, the proportion of agricultural labor force, the added value of agriculture, the agricultural industrial structure, the per capita disposable income of rural residents, and per capita arable land area, to clarify further the impacts on agricultural carbon emissions. Finally, geographically- and temporally-weighted regression (GTWR) was used to measure the direction and degree of the influences of factors on agricultural carbon emission. The conclusion showed that the regression coefficients of each selected factor in cities were positive or negative, which indicated that the impacts on agricultural carbon emission had the characteristics of geospatial nonstationarity.

scholarly journals Study on Mechanisms Underlying Changes in Agricultural Carbon Emissions: A Case in Jilin Province, China, 1998–2018

2021 ◽  
Vol 18 (3) ◽  
pp. 919
Author(s):  
Hongpeng Guo ◽  
Boqun Fan ◽  
Chulin Pan
Keyword(s):  
Growth Rate ◽  
Carbon Emissions ◽  
Production Efficiency ◽  
Industrial Structure ◽  
Carbon Sources ◽  
Animal Husbandry ◽  
Influential Factors ◽  
Jilin Province ◽  
Chain Growth ◽  
Annual Growth Rate

Reducing agricultural carbon emissions (ACE) is a key point to achieve green and sustainable development in agriculture. Based on the ACE statistics of Jilin Province in China from 1998 to 2018, this article considers the sources of ACE in depth, and fourteen different carbon sources are selected to calculate ACE. Besides, the paper explores the variation characteristics of ACE in Jilin Province, their structure, and the relationship between the intensity and density of the dynamic changes in ACE in the province in terms of time. Finally, this paper uses the Kaya identity and logarithmic mean Divisia index (LMDI) to analyze the influential factors in ACE. The results show the following: (1) During 1998–2018, the amount of ACE in Jilin Province increased, with an average annual growth rate of 1.13%. However, the chain growth rate has been negative in recent years, which reflects that carbon emission reduction has been achieved to a certain extent. (2) The characteristics of ACE in Jilin Province during the years is that of the low-intensity, high density category. Furthermore, agricultural resource input is the main source of the planting industry’s carbon emissions. From the perspective of animal husbandry, the proportion of CH4 decreased, while the proportion of N2O is relatively stable. (3) Based on the LMDI decomposition model, production efficiency, industrial structure, and labor are the three main factors that reduce ACE in Jilin Province. The economic level is the main factor of ACE, and it will be the most important factor leading to an increase in ACE in the short term. On the basis of comprehensive analysis, this article puts forward reasonable suggestions in terms of policy improvement, production mode and industrial structure adjustment, technological innovation, and talent introduction.

Performance of Financial Sectors for Agricultural Development in West Tripura District of Tripura

2020 ◽  
pp. 384-389
Keyword(s):  
Random Sampling ◽  
Agricultural Development ◽  
Sampling Technique ◽  
Analysis Data ◽  
Survey Method ◽  
The West ◽  
Field Officer ◽  
Increasing Trend ◽  
Farm Finance ◽  
Important Input

Finance is an important input of agriculture. Sufficient and timely credit to the farmer is vital and indispensable for the rehabilitation and progress of agriculture. The present study was conducted in the West Tripura district of Tripura to analyze the magnitude, utilization, and constraints of farm finance availed by the borrowers in the district. 120 sample farmers and 20 lenders were selected using a purposive random sampling technique for detailed analysis. Data were collected by survey method using pretested schedules. The study revealed an increasing trend in terms of branch expansion, total deposits and advances over the years. Moreover, the C-D ratio increased from 41 in 2013-14to 45.77 in 2017-18. The sector-wise advances of banks showed an increasing trend and percentage share to the agricultural, and non-farm sectors was 27.57 and 72.43 in West Tripura. Inadequacy of loans, and lengthy lending procedures were problems identified by the borrower farmers. The majority of farmers (89.16 percent) opined that the borrowed amount was not adequate for meeting their farm expenses. As per the bank officials, the non-availability of the land records (80 percent) with the borrower was a major problem. To improve borrowing and utilization of farm finance remedial measures such as post-credit supervision by the Bank Field Officer and disbursement of the major portion of the loan in kind form may be adopted.

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