scholarly journals Net Greenhouse Gas Emissions from Agriculture in China: Estimation, Spatial Correlation and Convergence

2019 ◽  
Vol 11 (18) ◽  
pp. 4817 ◽  
Author(s):  
Haoyue Wu ◽  
Hanjiao Huang ◽  
Jin Tang ◽  
Wenkuan Chen ◽  
Yanqiu He
Keyword(s):  
Greenhouse Gas ◽  
Spatial Correlation ◽  
Yangtze River ◽  
Regional Cooperation ◽  
Negative Impact ◽  
Ghg Emissions ◽  
Coastal Region ◽  
The Yangtze River ◽  
Agricultural Ecosystem ◽  
Convergence Test

The agricultural ecosystem has dual attributes of greenhouse gas (GHG) emission and absorption, which both influence the net amount of GHG. To have a clearer understanding of the net GHG effect, we linked up the emission and absorption of the agricultural ecosystem, estimated the net emissions of 30 provinces in China from 2007 to 2016, then explored the spatial correlation from global and local perspectives by Moran’s I, and finally tested the convergence of the net emissions by α convergence test, conditional β convergence test and spatial econometric methods. The results were: (1) The average of provincial agricultural net GHG emissions was around 4999.916 × 104 t, showing a fluctuating trend in the 10 years. Meanwhile, the gaps among provinces were gradually widening, as the provinces with high emissions were mainly agglomerated in the middle reaches of the Yangtze River, while those with less emissions mainly sat in the northwest. (2) The net emissions correlated spatially in close provinces. The agglomeration centers were located in the middle reaches of the Yangtze River and the northern coastal region, showing “high–high” and “low–low” agglomeration, respectively. (3) The net emissions did not achieve α convergence or conditional β convergence in the whole country, but the growth rate had a significant positive spillover effect among adjacent provinces, and two factors, the quantity of the labor force and the level of agricultural economy, had a negative impact on the rate. It is suggested that all provinces could strengthen regional cooperation to reduce agricultural net GHG emissions.

scholarly journals Spatio-Temporal Coupling Characteristics and the Driving Mechanism of Population-Land-Industry Urbanization in the Yangtze River Economic Belt

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 400
Author(s):  
Liejia Huang ◽  
Peng Yang ◽  
Boqing Zhang ◽  
Weiyan Hu
Keyword(s):  
Economic Development ◽  
Spatial Correlation ◽  
Yangtze River ◽  
Three Dimensional ◽  
Driving Mechanism ◽  
The Yangtze River ◽  
Central Cities ◽  
Urban Agglomerations ◽  
Development Level ◽  
Coordination Degree

The purpose of this paper is to probe into the coupled coordination of urbanization in population, land, and industry to improve urbanization quality. A coupled coordination degree model, spatial analysis method and spatial metering model are employed. The study area is 110 prefecture-level cities in the Yangtze River Economic Belt. The study shows that: (1) the coupling degree of the population-land-industry urbanization grew very slowly between 2006 and 2016. On the whole, the three-dimensional urbanization is in a running-in period, and land-based urbanization dominates, while population-based urbanization and industry-based urbanization are relatively lagging behind. (2) The three major urban agglomerations, the Chengdu-Chongqing, the middle reaches of the Yangtze River and the Yangtze River Delta, are parallel to the whole area in terms of the coupling degree of the three dimensional urbanization with a well-ordered structure, especially in the central cities of the three major urban agglomerations. (3) There is significant spatial correlation in the coupling degree and coordination degree of the three-dimensional urbanization. The high value of coupling degree and coordination degree are clustered continuously in developed cities, provincial capitals, and central cities of the downstream reaches of the Yangtze River. (4) The coordinated degree has significant positive spatial autocorrelation, showing obvious spatial agglomeration characteristics: H-H agglomeration areas are concentrated in the downstream developed areas such as Jiangsu, Zhejiang, and Shanghai. L-L agglomeration areas are mainly concentrated in upstream undeveloped areas, but the number of their cities shows a decreasing trend. (5) The coordination degree of the three-dimensional urbanization is the result of the comprehensive effect of economic development level, the government’s decision-making behavior, and urban location. Among them, the economic development level, urbanization investment, traffic condition, and urban geographical location play a decisive role. This paper contributes to the existing literatures by exploring urbanization quality, spatial correlation and influencing factors from the perspectives of the three-dimensional urbanization in the Yangtze River Economic Belt. The conclusion might be helpful to promote the coupling and coordinated development of urbanization in population-land-industry, and ultimately to improve urbanization quality in the Yangtze River Economic Belt.

Evaluating Sustainable Development of Land Resources in the Yangtze River Economic Belt of china

2022 ◽  
Vol 30 (6) ◽  
pp. 0-0
Keyword(s):  
Sustainable Development ◽  
Spatial Correlation ◽  
Yangtze River ◽  
Land Development ◽  
Active Regions ◽  
The Yangtze River ◽  
The Sustainable Development ◽  
Spatial Differences ◽  
The Status ◽  
Development Levels

The Yangtze River Economic Belt (YREB) is one of the most economically active regions in China, where an imbalance between the demand for land and the non-renewable is increasingly prominent. We present the patterns of land use in the YREB, then construct an evaluation index based on the Pressure-State-Response model. The TOPSIS model is used to evaluate sustainable land development in the YREB, and the spatial deductive characteristics of sustainable development levels are analyzed using three aspects: global spatial correlation, local spatial correlation, and regional difference. The results about the YREB show that: (1) The comprehensive sustainable land development score is average, indicating moderate sustainability with a fluctuating upward trend and good prospects. (2) The sustainable development levels of land have strong positive spatial correlation and agglomeration; the agglomeration characteristics follow a pattern similar to that of the status of economic development. (3) Sustainable development levels of land in the provinces and cities show great spatial differences.

scholarly journals The Influencing Effects of Industrial Eco-Efficiency on Carbon Emissions in the Yangtze River Delta

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8169
Author(s):  
Zaijun Li ◽  
Xiang Zheng ◽  
Dongqi Sun
Keyword(s):  
Spatial Correlation ◽  
Carbon Emissions ◽  
Yangtze River ◽  
Temporal Correlation ◽  
Yangtze River Delta ◽  
River Delta ◽  
Direct And Indirect Effects ◽  
The Yangtze River ◽  
Spatio Temporal ◽  
The Yangtze River Delta

A low-carbon economy is the most important requirement to realize high-quality integrated development of the Yangtze River Delta. Utilizing the following models: a super-efficiency slacks-based measure model, a spatio-temporal correlation model, a bivariate LISA model, a spatial econometric model, and a geographically weighted random forest model, this study measured urban industrial eco-efficiency (IEE) and then analyzed its influencing effects on carbon emission in the Yangtze River Delta from 2000 to 2017. The influencing factors included spatio-temporal correlation intensity, spatio-temporal association type, direct and indirect impacts, and local importance impacts. Findings showed that: (1) The temporal correlation intensity between IEE and scale efficiency (SE) and carbon emissions exhibited an inverted V-shaped variation trend, while the temporal correlation intensity between pure technical efficiency (PTE) and carbon emissions exhibited a W-shaped fluctuation trend. The negative spatial correlation between IEE and carbon emissions was mainly distributed in the developed cities of the delta, while the positive correlation was mainly distributed in central Anhui Province and Yancheng and Taizhou cities. The spatial correlation between PTE and carbon emissions exhibited a spatial pattern of being higher in the central part of the delta and lower in the northern and southern parts. The negative spatial correlation between SE and carbon emissions was mainly clustered in Zhejiang Province and scattered in Jiangsu and Anhui provinces, with the cities with positive correlations being concentrated around two locations: the junction of Anhui and Jiangsu provinces, and within central Jiangsu Province. (2) The direct and indirect effects of IEE on carbon emissions were significantly negative, indicating that IEE contributed to reducing carbon emissions. The direct impact of PTE on carbon emissions was also significantly negative, while its indirect effect was insignificant. Both the direct and indirect effects of SE on carbon emissions were significantly negative. (3) It was found that the positive effect of IEE was more likely to alleviate the increase in carbon emissions in northern Anhui City. Further, PTE was more conducive to reducing the increase in carbon emissions in northwestern Anhui City, southern Zhejiang City, and in other cities including Changzhou and Wuxi. Finally, it was found that SE played a relatively important role in reducing the increase in carbon emissions only in four cities: Changzhou, Suqian, Lu’an, and Wenzhou.

AGRICULTURE IN THE FACE OF CLIMATE CHALLENGES – THE PROBLEM OF GREENHOUSE GAS EMISSIONS

2019 ◽  
Vol XXI (2) ◽  
pp. 246-255
Author(s):  
Hanna Pondel
Keyword(s):  
Climate Change ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Negative Impact ◽  
Ghg Emissions ◽  
Plant Production ◽  
Agricultural Activity ◽  
Negative Consequences ◽  
Gas Emissions ◽  
Local Conditions

Changes in seasonal weather cycles, a growing number of extreme phenomena, an upward trend in temperature and changes in the distribution of rainfall, significantly affect the functioning and effectiveness of agriculture. However, agriculture plays a major role in the emergence and intensification of these phenomena. The aim of the article is to present, analyse and evaluate the relations between agriculture and climate, with particular emphasis on greenhouse gas (GHG) emissions from agriculture in these relations. A cause-and-effect analysis was conducted based on literature studies, using the descriptive statistics method and analysis of the development trend. The basis for analysis were data on GHG emissions in the European Union (EU-28). The contribution of agriculture to the EU’s greenhouse gas emissions, albeit slightly but still increasing in recent years. The level of this emission is determined primarily by the type of agricultural activity conducted – animal production is definitely responsible for higher emissions than plant production. It is difficult to present a universal model of agricultural adaptation to climate change and a set of actions limiting the negative impact of agricultural production on climate. This is hindered by both the specificity of the agricultural sector and the large diversity of local conditions and applied farming practices. The opportunity to increase the effectiveness of actions taken may be a better connection between the implementation of objectives including the reduction of the causes and negative consequences of climate change and the objectives of sustainable agricultural development.

scholarly journals The Spatiotemporal Coupling Characteristics of Regional Urbanization and Its Influencing Factors: Taking the Yangtze River Delta as an Example

2019 ◽  
Vol 11 (3) ◽  
pp. 822 ◽  
Author(s):  
Dong Xu ◽  
Guolin Hou
Keyword(s):  
Spatial Autocorrelation ◽  
Spatial Correlation ◽  
Influencing Factors ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
The Yangtze River ◽  
Spatiotemporal Characteristics ◽  
The Yangtze River Delta ◽  
Coordination Degree

The research on the coupling coordination of regional urbanization is of great significance for achieving sustainable urbanization. Based on the theories of coordinated development, this paper constructs an index system for comprehensive evaluation of the three sub-systems of urbanization (population, economy and land urbanization). Then, the entropy method, coupling coordination degree model and spatial autocorrelation analysis are used to explore the spatiotemporal characteristics of overall and pairwise coordination among population, land and economy urbanization. Finally, the geographic detector model is used to analyze the influencing factors in the urbanization process. The results show that: (1) the levels of population, land and economy urbanization in the Yangtze River Delta have been improved from 2001 to 2016. The overall and pairwise coupling coordination degrees among them also continue to improve and the stage characteristics are presented. (2) The spatial distribution of low-level and high-level coupling coordination cities shows a certain spatial dependence and a Z-shaped pattern, respectively. The spatiotemporal characteristics of pairwise coupling coordination indicate regional imbalance of the urbanization. (3) The overall coupling coordination degree of urbanization has an apparent spatial autocorrelation, with its local spatial correlation patterns dominated by the High–High and Low–Low type agglomeration. Significant differences in local spatial correlation patterns of the pairwise coupling coordination suggest that regional synergy should not be neglected. (4) The economic development level is the main factor influencing the spatiotemporal differentiation of the coupling coordination of urbanization. Location traffic conditions and population agglomeration effect are the second most influencing factors. The evolution mechanisms of coupling coordination of urbanization are affected by factors in change. The findings highlight the importance of dealing with the relationship among population, land and economy in the process of regional urbanization and have implications for promoting the integration of urban agglomerations.

Nutrient Cycling and Balance of P for Wheat Production in China

2014 ◽  
Vol 651-653 ◽  
pp. 260-264
Author(s):  
Li Min Chuan ◽  
Huai Guo Zheng ◽  
Cui Ping Tan ◽  
Su Fen Sun ◽  
Jun Feng Zhang
Keyword(s):  
Nutrient Cycling ◽  
Yangtze River ◽  
Negative Impact ◽  
Northwest China ◽  
P Uptake ◽  
Central China ◽  
The Yangtze River ◽  
North Central ◽  
Wheat Production ◽  
P Fertilizer

In this study, the input and output parameters of Phosphorus (P) for wheat production system were collected from the year 2000 to 2011 to evaluate the nutrient cycling and balances in North Central China, the Middle and Lower Reaches of the Yangtze River and Northwest China. The results showed that the P fertilizer application rates for each region were 44.5, 39.7 and 42.3 kg P/ha, the P brought from previous crop were 14.8, 1.6 and 2.6 kg/ha, and brought from seeding were 1.5, 1.0 and 0.9 kg/ha, respectively. The P input from atmospheric deposition and irrigation were considered zero. The P uptake by harvest in above-ground plant in North Central China, the Middle and Lower Reaches of the Yangtze River and Northwest China were 41.2, 53.2 and 17.0 kg/ha. As a result, the P balance in North Central China and Northwest China were both showing surplus by 19.6 and 28.8 kg/ha, and in the Middle and Lower Reaches of the Yangtze River showed deficiency. It is suggested that we need to adjust the P fertilizer input in China, in order to maintain the sustainable soil fertility and avoid the negative impact on the environment.

scholarly journals Impact of collaborative innovation on green total factor productivity in Yangtze River Economic Belt: Analysis based on endogenous spatial-temporal weight matrix

2021 ◽  
Author(s):  
lei Wu ◽  
Xiaoyan Jia ◽  
Jie Lv ◽  
Li Gao
Keyword(s):  
Total Factor Productivity ◽  
Yangtze River ◽  
Negative Impact ◽  
Positive Impact ◽  
Spatial Interaction ◽  
Evaluation Index System ◽  
Weight Matrix ◽  
The Yangtze River ◽  
Factor Productivity ◽  
Collaborative Innovation

Abstract Technological innovation can promote high-quality economic growth. This paper discusses the promotion of green total factor productivity from the perspective of collaborative innovation in the Yangtze River Economic Belt. Firstly, the evaluation index system of collaborative innovation level is constructed from two aspects of collaborative innovation elements and collaborative innovation environment. Then the entropy method is used to measure its development level. The results show that the collaborative innovation level of provinces in the Yangtze River Economic Belt presents an increasing trend year by year. Meanwhile, there are regional differences, which is characterized by 'high in the middle reaches, middle in the downstream and low in the upstream' Secondly, the SDM model based on endogenous spatio-temporal weight matrix is constructed to analyze the influencing factors of green total factor productivity. The results show that collaborative innovation in the Yangtze River Economic Belt has significant negative impact on green total factor productivity in terms of spatial interaction and fiscal expenditure also has a negative impact. The spatial interaction between environmental protection and opening up has a significant positive impact on green total factor productivity. However, the spatial interaction between industrial structure and human capital on green total factor productivity is not obvious. Finally, this paper puts forward some policy suggestions to improve green total factor productivity.

scholarly journals BLUE CARBON IN NATIONAL POLICY TO REDUCE GREENHOUSE GAS EMISSIONS

2021 ◽  
Vol 10 (2) ◽  
pp. 252
Author(s):  
Diah Apriani Atika Sari ◽  
Okid Parama Astirin ◽  
Anti Mayastuti ◽  
Anugrah Adiastuti
Keyword(s):  
Climate Change ◽  
Greenhouse Gas ◽  
Tropical Forests ◽  
Sea Water ◽  
Negative Impact ◽  
Ghg Emissions ◽  
Blue Carbon ◽  
National Policies ◽  
Sequestration Potential ◽  
The Government

<em>Greenhouse Gas (GHG) emissions are the main cause of global warming and climate change. Indonesia as an archipelagic country experiences a significant negative impact as a result of climate change, such as sea level rise, sea water intrusion to the land, extreme weather, and rising sea and land temperatures. Tropical forests have been known as a major carbon emitter, but with the increasing rate of deforestation, it is necessary to find carbon sinks from ecosystems other than tropical forests. This study aimed to determine the extent to which blue carbon has been included in Indonesian Government policies, especially in the GHG inventory document and the Indonesian Nationally Determined Contribution (NDC) document, related to the Government of Indonesia's commitment in reducing GHG emissions. The research showed that blue carbon ecosystems, which include mangroves, seagrass beds, and other coastal ecosystems, have enormous carbon sequestration potential when compared to tropical forests, but unfortunately, the potential of blue carbon has not been maximally utilized in national policies related to GHG emission reduction.</em> <em>The existing policies have not been implemented optimally and some of them overlap. In the future, accurate data updating and mapping of the blue carbon ecosystem is needed so that it can become a reference in determining national policies on the use of blue carbon</em>

scholarly journals Spatial Association of Urbanization in the Yangtze River Delta, China

2020 ◽  
Vol 17 (19) ◽  
pp. 7276
Author(s):  
Wei Zhao ◽  
Xuan Liu ◽  
Qingxin Deng ◽  
Dongyang Li ◽  
Jianing Xu ◽  
...  
Keyword(s):  
Spatial Correlation ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Driving Mechanism ◽  
The Yangtze River ◽  
Spatial Integration ◽  
The Yrd ◽  
The Impact ◽  
The Yangtze River Delta

China is urbanizing rapidly, but current research into the spatiotemporal characteristics of urbanization often ignores the spatial and evolutionary associations of cities. Using the theory of spatial polarization and diffusion, together with a systematic analysis method, this study examined the spatial development process of urbanization in the Yangtze River Delta (YRD) region of China during 1995–2015. Results showed clear patterns in the scale and hierarchy of regional urbanization. Shanghai ranked first as the regional growth pole, while Nanjing, Hangzhou, and Suzhou ranked second. The spatial linkage index of urbanization showed that 10 cities (including Shanghai, Suzhou, and Hangzhou) constituted the densest spatial linkage network. The diffused area often became spatially polarized before the polarization then weakened as a new diffusion stage developed. The study also revealed that the spatial correlation urbanization differences in the YRD generally decreased. The polarization index revealed increasing spatial integration and correlation of urbanization in the YRD. This study proved that each city had a different spatial role in relation to other cities during different stages of development. Investigation of the driving mechanism of regional urbanization indicated that industrial modernization and relocation within the region provided the main endogenous driving force for the formation of spatial polarization or diffusion. Our research provides important scientific support for regional development planning. Furthermore, our analysis of the impact of spatial correlation within cities or a region could provide an important reference in relation to the regional environment and public health.

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