scholarly journals Analysis of the Spatial Effect of Fiscal Decentralization and Environmental Decentralization on Carbon Emissions under the Pressure of Officials’ Promotion

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1878
Author(s):  
Sailian Xia ◽  
Daming You ◽  
Zhihua Tang ◽  
Bo Yang

Using panel data of 30 provinces and regions in Mainland China (excluding Tibet) from 2006 to 2016, the Spatial Durbin Model was employed for the empirical research, and the spatial impact of fiscal decentralization and environmental decentralization on regional carbon emissions were analyzed from the perspective of promotion pressure of officials. The empirical study concludes: ➀ Fiscal decentralization, both within the region and in its neighborhood, will contribute to carbon emissions in the region; ② Environmental decentralization will help reduce carbon emissions, while environmental decentralization in neighboring regions will increase carbon emissions in the region; ③ The promotion pressure of officials plays a positive role in moderating the impact of fiscal decentralization on carbon emissions, and at the same time weakens the suppression of carbon emissions by environmental decentralization; ④ From a regional point of view, there is a positive relationship between fiscal decentralization and carbon emissions in various regions; but environmental decentralization has obvious spatial heterogeneity. The research suggests that reducing the degree of local fiscal decentralization, investment in major infrastructure projects involving high carbon emissions should be relatively centralized; appropriately increase the environmental management authority of local environmental protection agencies, fully use the advantages of local environmental protection departments to protect the environment according to local conditions; gradually improve the assessment system for local officials, moderately reduce the proportion of fiscal revenue and GDP assessment in areas with fragile ecological environment, and increase incentives for ecological performance assessment, put the development of low-carbon economy into practice.

2014 ◽  
Vol 687-691 ◽  
pp. 4478-4481 ◽  
Author(s):  
Lei Yu

Based on rural as research object, this paper mainly combines the local rural development present situation to measure rural carbon emissions, and with the help of Kaya model respectively. The rural residents' energy consumption and carbon emissions are generated by the impact factors of agricultural production LMDI decomposition. And it established the cointegration model of influence factors of the carbon in the empirical analysis. It seek a accord with the actual situation of rural low carbon economy development path.


Author(s):  
Weijiang Liu ◽  
Yangyang Li ◽  
Tingting Liu ◽  
Min Liu ◽  
Hai Wei

Facing the increasingly severe environmental problems, the development of a green and sustainable low-carbon economy has become an international trend. In China, the core issue of low-carbon economic development is effectively resolving the contradiction between the exploitation and utilization of fossil energy and greenhouse gas emissions (mainly carbon emissions). Based on the SAM matrix, we established a static Computable General Equilibrium (CGE) model to simulate the impact of carbon tax policies on energy consumption, carbon emissions, and macroeconomics variables under 10, 20, and 30% emission reductions. Meanwhile, we analyze the impact of different carbon tax recycling mechanisms under the principle of tax neutrality. We find that the carbon tax effectively reduces carbon emissions, but it will negatively impact economic development and social welfare. A reasonable carbon tax recycling system based on the principle of tax neutrality can reduce the negative impact of carbon tax implementation. Among the four simulated scenarios of carbon tax cycle, the scenario of reducing residents’ personal income tax is most conducive to realizing the “double dividend” of carbon tax.


Author(s):  
Hongpeng Guo ◽  
Sidong Xie ◽  
Chulin Pan

This paper focuses on the impact of changes in planting industry structure on carbon emissions. Based on the statistical data of the planting industry in three provinces in Northeast China from 1999 to 2018, the study calculated the carbon emissions, carbon absorptions and net carbon sinks of the planting industry by using crop parameter estimation and carbon emissions inventory estimation methods. In addition, the multiple linear regression model and panel data model were used to analyze and test the carbon emissions and net carbon sinks of the planting industry. The results show that: (1). The increase of the planting area of rice, corn, and peanuts in the three northeastern provinces of China will promote carbon emissions, while the increase of the planting area of wheat, sorghum, soybeans, and vegetables will reduce carbon emissions; (2). Fertilizer application, technological progress, and planting structure factors have a significant positive effect on net carbon sinks, among which the changes in the planting industry structure have the greatest impact on net carbon sinks. Based on the comprehensive analysis, it is suggested that, under the guidance of the government, resource endowment and location advantages should be given full play to, and the internal planting structure of crops should be reasonably adjusted so as to promote the development of low-carbon agriculture and accelerate the development process of agricultural modernization.


2021 ◽  
Vol 13 (4) ◽  
pp. 1783
Author(s):  
Maria Luisa Lode ◽  
Geert te Boveldt ◽  
Cathy Macharis ◽  
Thierry Coosemans

Energy communities (ECs) play a role in the transition towards a low-carbon economy by 2050 and receive increasing attention from stakeholders within the energy sector. To foster ECs, transition management (TM) is a promising managerial approach to steer and guide the transition towards more sustainable practices. However, TM lacks a consistent methodology that addresses the criticism of the current application. To investigate what a structured and replicable TM approach for ECs can look like, this paper applies the multi-actor multi-criteria analysis (MAMCA), a participative multi-criteria decision method, to a case study EC in the Netherlands involving various stakeholders. The impact of the application on power relations, the political sphere, sustainability conceptualization, guidance of transitions, and representation was analyzed. MAMCA was found useful for multi-stakeholder settings seen in potential ECs, offering a unifying methodology for the practical application of TM. In the EC setting, the added value of MAMCA within TM lies more in the social representation, insight into stakeholder viewpoints, and communication rather than in final decision-making.


Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1415
Author(s):  
Václav Voltr ◽  
Martin Hruška ◽  
Luboš Nobilis

This paper provides values of economic, energy and environmental assessments of 20 crops and assesses the relationships of soil-climatic conditions in the example of the Czech Republic. The comparison of main soil quality indicators according to the configuration of land and climate regions is performed on the basis of energy and economic efficiency as well as a comparison of the level of environmental impacts. The environmental impacts are identified based on the assessment of emissions from production and also in the form of soil compaction as an indicator of the relationship to soil quality. As concerns soil properties, of major importance is soil skeleton, slope of land and the depth of soil, which cause an increase in emissions from the energy produced. Substantially better emission parameters per 1 MJ through energy crops, the cultivation of perennial crops and silage maize has been supported. Among energy crops, a positive relationship with the quality of soil is seen in alfalfa, with a significant reduction in soil penetrometric resistance; energy crops are also politically justifiable in competition with other crops intended for nutrition of population. The main advantage of energy crops for the low-carbon economy is their CO2 production to MJ, which is almost half, especially in marginal areas with lower soil depths, slopes and stoniness, which can be included in the new agricultural policy.


2013 ◽  
Vol 291-294 ◽  
pp. 1407-1412 ◽  
Author(s):  
Liang Jie Xia ◽  
Dao Zhi Zhao ◽  
Bai Yun Yuan

In low carbon economy, carbon emissions permit has become a kind of resource; in the market economy system, new economic relations between enterprises have appeared, these characteristics make enterprise operation cost structure and profiting pattern changed. The paper reviews the previous literature on carbon footprint, production optimization theory individual enterprise and supply chain operation management with carbon emissions constraints. Then the paper put forward four worth further research directions: Carbon emission cost distribution and scientific measurement in supply chain; supply chain operation based on consumer behavior in Low Carbon Economy Era; optimizing the allocation of carbon emissions permit in supply chain; Dynamic Multi-period operation optimization of carbon efficient supply chain.


2013 ◽  
Vol 368-370 ◽  
pp. 400-410
Author(s):  
Li Xin Shang ◽  
Chuan Yi Zhou ◽  
Yun Tao Jing

Our country is in a low carbon economy development period, this paper described the whole evaporative air cooler is based on energy conservation and environmental protection thinking of development, this paper described the development history of air cooler in energy conservation and environmental protection, the main body of the thinking of equipment design and each index assessment, in a large number of experimental data are put forward on the basis of the concept of "full evaporation", according to the requirements of the indicators and process requirements of equipment parts for detailed design of equipment, automatic control design, form the mechanical and electrical integration, energy conservation and environmental protection, automatic control, full evaporative air cooler and heat exchange equipment.


2021 ◽  
Vol 236 ◽  
pp. 03002
Author(s):  
Yingying Wu

The Environmental Impact Assessment system, referred to as the EIA system, is to evaluate the impact of the implementation of the plan or the construction and operation of the project on the environment, combine the surrounding environmental quality status, propose ecological or environmental protection measures,then evaluate the effectiveness of the measures, and draw a conclusion on the feasibility of the project(planning) in terms of environmental protection.This article summarizes the role and progress in environmental protection in the two aspects of planning and construction projects in recent years.Comprehensively selected cases found that both planning or construction project environmental assessment have played an important role in predicting the possible impact of planning or construction projects on the environment and ecology, and proposed feasible and effective environmental protection measures.After the planning or construction project adopts the conclusions and suggestions, as long as the "Three Simultaneous" regulations are followed, the impact of the planning or construction project on the environment or ecology can be prevented or effectively reduced. When it is necessary to conduct postevaluation of environmental impact, verify the actual conditions of the construction project, such as emissions and actual production processes.


2020 ◽  
Vol 12 (6) ◽  
pp. 2223 ◽  
Author(s):  
Sheng Liu ◽  
Jian Ge ◽  
Wangming Li ◽  
Ming Bai

The historic environmental vulnerability of traditional villages (HEVTVs) is distinctly differentiated; however, the priority of relevant emergency management practices still lacks appropriate evaluation. This study proposes a new assessment system to quantify HEVTVs at the district level and an extended analysis of the influencing factors of adaptive capacity. This provides a basis to classify the emergency management of villages under geological hazard risks. Based on the coupled human–environment system, this research designed the assessment with three criteria, six factors, and 13 indexes from the perspective of HEVTVs. Furthermore, a demonstration test was conducted of 148 traditional villages in Lishui, China. The results showed that 64.19% of HEVTVs in Lishui were moderate or above, and that villages with very high vulnerability were mainly distributed at mid-elevation of mountains with strongly sloping terrain. In contrast, low-vulnerability villages were generally on plains at low altitudes. Furthermore, three high-vulnerability clustering groups were identified as critical improvement targets for which special zoning strategies should be proposed. Five influencing factors were found to be strongly related to the adaptive capacity, indicating a spatial variation of the impact intensity. This could be applied to streamline vulnerability optimization strategies according to local conditions.


2019 ◽  
Vol 11 (5) ◽  
pp. 1235 ◽  
Author(s):  
Shaozhou Qi ◽  
Huarong Peng ◽  
Xiujie Tan

R&D investment plays a great role in achieving China’s low-carbon economy goals, which has a moderating effect on the relationship between income and carbon emissions. Furthermore, such a moderating effect may have spatial differences, given the possible spatial dependence of carbon emissions. Therefore, this paper explores the direct and spatial spillover moderating effects of R&D investment by adopting the panel spatial Durbin model and data of 30 provinces in China during 1998–2015. The empirical results firstly indicate that R&D investment moderates the positive impact of income on local carbon emissions for both the non-spatial and spatial model, and that more R&D investment can make carbon emissions reach the turning point earlier. Secondly, R&D investment in the local province increases the positive influence of local income on neighboring carbon emissions, which mainly results from the transfer effect of carbon emissions rather than the knowledge spillovers effect. The results are indicated to be robust by three types of robustness analyses. Finally, FDI and patents are the main constrained forces of local and neighboring carbon emissions; coal consumption is the main driver of local carbon emissions.


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