Green GDP Accounting Research Articles

Study on the Impact of Green GDP Accounting System on Climate - Based on Integrated Evaluation and Markov Modelling

GDP does not consider the impact of economic development on environmental hazards and resource consumption. Therefore, our team developed a reliable model and utilized the GGDP to assess the fiscal health of countries with the hope that governments will adopt policies to mitigate the impact of economic development on the global climate. To measure the financial health of each country's system, we selected raw data on five critical factors for 50 countries from 2010 to 2020. We then validated the data distribution patterns and selected the 80% quartile as the healthy range for each indicator. We used analytic hierarchical process (AHP) to determine the weights of each hand. Finally, we introduced the concept of the Economic Health Index (EHI) concept, which represents an economy's actual health. We also use Markov chains to predict the future global climate impact of flexible government policy measures to promote GGDP growth after GGDP replaces GDP. To measure the effect on global climate, we use the achievement of the GHG emissions and energy consumption targets agreed upon by countries in the Paris Agreement.

Green GDP accounting system from the perspective of resources and environment and a case study of Chongqing

Abstract Green GDP represents the net positive effect of national economic growth. The positive effect of national economic growth will be enhanced if there is a higher percentage of green GDP in GDP. From the perspective of resources and environment, this paper introduces SEEA-2012 accounting system with indirect calculating methods of green GDP in China, within which the value of natural resource depletion, environmental pollution damage and environmental quality degradation are included. In order to reasonably select valid indicators and data so as to get accurate accounting results, different valuation methods and operational formulas in economics are adopted to construct a new accounting system model, and the green GDP of Chongqing City in 2018-2020 is accounted for. Results show that the green GDP of Chongqing in recent three years is 1,838.889 billion Yuan, 1,964.724 billion Yuan and 2,111.2 billion Yuan, respectively, and proportions of green GDP in traditional GDP are 90.30%, 91.01% and 89.44% respectively. By studying and analyzing the dependence of Chongqing on natural resources and the ecological environment in the process of economic development, this paper provides theoretical support for the sustainable development of the urban economy and environment, provides a reference basis for the local government to formulate economic development planning, and also provides a reference for the construction of green GDP accounting system in similar ecological areas.

Green GDP Accounting and Green Economic Efficiency Analysis in Yunnan Province under the Double Carbon Background: Based on the Three-Stage DEA-Malmquist Model

In the efforts to practice the dual carbon national strategic objectives under the premise, this paper takes Yunnan Province as the research object, firstly constructed the green GDP evaluation index system, on this basis, the use of entropy method to calculate the green GDP value and ECI index of Yunnan Province, the development of Yunnan Province on the economy and resources and environment between each other was briefly studied; then through the above data to further select the green economic efficiency input-output index application of three-stage DEA-Malmquist model of green total factor productivity in Yunnan Province to calculate and analyze, obtain the five-year green economic efficiency level of Yunnan Province; finally through a large number of data analysis of technical progress index is the most important factor affecting the green economic efficiency of Yunnan Province, and give appropriate countermeasures and suggestions.

The green GDP accounting system based on the BP neural network: an environmental pollution perspective

Introduction: The green GDP accounting system has become the focus of sustainable development, but a comprehensive accounting of environmental pollution cost and resource depletion cost has not yet been formed.Methods: This study measures environmental pollution cost and resource loss cost, and establishes the green GDP accounting system based on the SEEA-2012. To analyze the environmental effects brought by the adoption of green GDP accounting system, a BP neural network model including green GDP, traditional GDP and global climate indicators is constructed to predict the global climate changes.Results: The empirical results show that after the adoption of the green GDP accounting system, the global climate extreme weather can be reduced, the sea level will be lowered, and the climate problem is thus alleviated.

Study on the Effectiveness of Green GDP Accounting System in Mitigating Climate Change- Based on ARIMA-LSTM Model

At present, the most widely used composite index to measure economic growth in the world is GDP and its growth rate, but this composite index does not sufficiently emphasize the importance of climate environment. In order to emphasize the greenness of development, it is necessary to establish a green GDP accounting system and test whether the green gdp system can mitigate climate change. In this paper, we first select seven direct climate impact indicators, including energy consumption and indirect climate impact indicators, and assign weights to the direct climate impact indicators by entropy weighting method to establish a green GDP accounting system. Then the climate prediction model based on ARMIMA-LSTM is established with CO2 emission and temperature change as evaluation indicators, and the model is trained to obtain the climate change under the GGDP system. This paper is important for measuring green GDP.

Adaptation and Feasibility Study of Green GDP Accounting System in China

Adaptation and Feasibility Study of Green GDP Accounting System in China

Study on the Impact of Green GDP Accounting System on Climate —— Based on Global Climate Mitigation Index Model

GDP index can't measure the level of a country's sustainable economic development because it only pays attention to economic development but not to climate protection.Green GDP is the core index of the comprehensive environmental-economic accounting system, which incorporates resources and environmental factors into the current GDP to better reflect a country's real economic health. This paper develops a GGDP accounting model based on SEEA, which is closely related to GDP, and analyzes the relationship between green GDP accounting system and climate mitigation. In order to study the impact of GGDP on climate, this paper divides the global countries into four categories, selects 30 representative countries, establishes a global climate mitigation index model based on GCAM model and EWM, and calculates the impact of GGDP system on climate. The results show that the growth of GGDP has a positive impact on climate mitigation. This study puts forward a new accounting system of economic development level, which is of great significance to alleviate climate change.

Adaptation and Feasibility Study of Green GDP Accounting System in China

In recent years, with the increasing risk of global climate change, the worldwide discussion on green economy has been further intensified. In this paper, based on the central framework of SEEA, we analyze the impact of the environment on the economy from multiple perspectives and establish a green GDP accounting model. In addition, a new method combining random forest regression as well as CRITIC weighting method is used to select reasonable indicators. The accounting formula derived from this new method is used to calculate the green GDP in 2000, 2005, 2010, 2015, and 2020, and to compare the differential contribution of GGDP and GDP of the selected countries to measure the efforts made by each country for environmental protection, and the results show that it is worthwhile to adopt GGDP. This paper focuses on China as the main target for the case study and finds the strongest link between GGDP and clean energy among the indicators. The impact generated by GGDP is also discussed using the gray prediction method. Finally, a statistical approach is used to visualize the growth rate of the aging population, and it is found that the implementation of GGDP is beneficial to the environment, the economy, and the lives of citizens.

A study on global national green GDP accounting based on the System of Integrated Environmental-Economic Accounting

In recent years, green GDP has been widely used but not precisely defined, and the measurement methods are mostly vague and confusing. In order to accurately account for global green GDP, this paper adopts the latest international standard system, the system of integrated Environmental-Economic Accounting: a central framework (SEEA-2012), to construct a model of global GGDP accounting system. Based on SEEA-2012, the global green GDP accounting system is established, which takes into account the negative impacts caused by the depletion of natural resources and losses due to environmental pollution, as well as the positive impacts caused by the improvement of resources and environment on the basis of the traditional GDP. Finally, the values of 26 countries are specifically substituted into the accounting model to obtain the exact values of green GDP for 26 countries worldwide.

Research on Financial Accounting of GDP Index Based on Numerical Simulation

Because the traditional GDP accounting method was difficult to meet the actual needs of governments for economic and social development, aiming at the problems of unclear data sources related to GDP and inconsistent GDP accounting results in the national economic accounting system, a GDP index financial accounting method based on numerical simulation was proposed. Firstly, it summarized the traditional GDP thought and its related accounting methods and analyzed the common problems existing in the traditional GDP accounting. Secondly, it expounded the concept of green GDP and its accounting scope and theoretical model and pointed out the key problems to be solved in green GDP accounting, such as ecological resource consumption and environmental pollution cost calculation. Finally, by analyzing the relationship between green GDP and main supporting indicators, the accounting method of GDP indicators based on numerical simulation was proposed, and the accounting result detection model based on the econometric model was given. Through empirical analysis, it showed that the GDP accounting method proposed in this paper has good feasibility and effectiveness and can effectively reflect the development of the economic operation. The accounting method proposed in this paper can also provide a reference basis for the construction of a green GDP system.

Sustainable Development Based on Green GDP Accounting and Cloud Computing: A Case Study of Zhejiang Province

Cloud computing is a supercomputing that integrates large-scale and scalable computing, storage, data, applications, and other distributed computing resources for collaborative work in the form of virtualization technology as the basis and the network as the carrier to provide infrastructure, platform, software, and other service’s model. Green GDP (GGDP) is an assessment indicator for regional sustainable development. Hence, the evaluation index on GGDP and greening of the national economic accounting system (SNA) are the hotspots of current ecological and economic studies. In the recent years, Zhejiang’s economy has achieved rapid development, and there are also problems of high input and high consumption of natural resources, thereby restricting its sustainable development. Based on the statistical data of Zhejiang Province during 2000–2017, the GGDP within the sustainable development context is calculated using the system of integrated environmental and economic accounting (SEEA). The results indicated the following: (1) The GGDP accounted for 79.29%–96.78% of Zhejiang's GDP during the study period, which showed volatility upward trend, resulting from the significant environmental protection and conservation of natural resources in the study area. But economic development was heavily dependent on resources, and the local government still strengthened the work of improving resources and environment. (2) The proportion of secondary industry in Zhejiang Province fluctuated downwards during the period of 2000–2017, and the tertiary industry showed a volatility upward trend, which exceeded the proportion of the secondary industry, indicating that Zhejiang Province is from an industry-led economy to a service-oriented economy change. (3) The GGDP of Zhejiang Province accounted for the highest proportion of GDP in 2008, resulting from the result of a combination of relevant national policies and international competitions.

Fiscal Decentralization and Environmental Pollution: A Spatial Analysis

Based on annual data over the period 2003 to 2017 covering 31 provinces in China, the environmental pollution index and environmental regulation index are constructed. Moran’s I, the widely used spatial autocorrelation index, is used to analyze the spatial distribution of environmental pollution, which provides a fairly high stability of the positive spatial correlation of environmental pollution. Then, the 0-1 matrix, distance weighting matrix, and economic distance mixed matrix are carried out to weigh space separately. To analyze the impact of fiscal decentralization on environmental pollution, the spatial Durbin model is employed. In the meanwhile, fiscal decentralization is measured from the perspective of both fiscal expenditure decentralization and fiscal revenue decentralization. The results show that the impact of fiscal decentralization on environmental pollution is positive and appears the phenomenon of “race to bottom.” To improve environmental quality, appropriate environmental regulation target, implementing green GDP accounting, and adjusting economic structure should be adopted.

EVALUATION OF GREEN GDP MEASUREMENT IN INDONESIA USING GREY SYSTEM APPROACH

The objective of the research was to apply Grey System Theory Type GM (1,1) on the forecast and evaluation of Indonesia’s Green GDP accounting which mainly deals with systems that have limited data and asymmetric information. The data used in this research is secondary data obtained from Sucofindo. The result of Grey System Theory Type GM (1,1) show that the Mean Percentage Error (MPE) and mean absolute percentage error (MAPE) value which showed bias conditions and lack of accuracy. This result show that the status of natural resources and environmental condition in Indonesia which considered from its result still present the weakness of Indonesia’s Green GDP accounting. From that consideration, the reconstruction of Indonesia’s Green GDP accounting are needed by increasing of green economy efforts and policies

Integrating ecosystem services in terrestrial conservation planning.

The purpose of this study is to estimate the benefits of ecosystem services for prioritization of land use conservation and to highlight the importance of ecosystem services by comparison between ecosystem service value and green GDP accounting. Based on land use pattern and benefit transfer method, this research estimated value of ecosystem services in Taiwan. Scientific information of land use and land cover change is accessed through multi-year satellite imagery moderate resolution imaging spectroradiometer (MODIS), and geographic information system (GIS) technology. Combined with benefit transfer method, this research estimated the ecosystem service valuation of forest, grassland, cropland, wetland, water, and urban for the period of 2000 to 2015 in Taiwan. It is found that forest made the greatest contribution and the significant increasing area of wetland has huge potential benefit for environmental conservation in Taiwan. We recommend placing maintaining wetland ecosystem in Taiwan with higher priority. This research also compared ecosystem service value with natural capital consumption which would essentially facilitate policy makers to understand the relationship between benefits gained from natural capital and the loss from human-made capital.

城市生态资产评估方法与应用——以广州市增城区为例

PDF HTML阅读 XML下载 导出引用 引用提醒 城市生态资产评估方法与应用——以广州市增城区为例 DOI: 10.5846/stxb201606221223 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金重点项目（71533004）；国家自然科学基金面上项目（71273254）；中国科学院科技服务网络计划项目（KFJ-EW-STS-002-7） Assessment method and application of urban ecological assets: a case study in Zengcheng, Guangzhou City Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:生态资产评估有助于人们以货币度量的方式衡量生态资源的价值，同时也为绿色GDP核算以及生态补偿机制提供科学依据。基于生态资产内涵，构建了包含自然资源价值和生态服务价值在内的生态资产价值评估指标体系，通过获取生态参数，对各项生态资产指标进行全面核算和时空动态分析，最后针对区域经济社会发展和生态资产状况提出了相应的生态资产管理对策与建议。研究结果表明，2003、2008和2013年增城区的生态资产价值分别为286.4、287.9和330.6亿元，其中，自然资源价值占总价值平均比例为62%，生态服务价值占总价值平均比例为38%。10年间，增城区各类自然资源价值均增加，尤其是农用地和草地资源价值增加幅度最大；各项生态服务价值均减小，其中土壤保育价值减小最为明显。基于核算结果，为增城区提出了包含自然资源管理、生态服务监管、生态资产保育和实施生态补偿4个方面的具体生态资产管理对策。 Abstract:Ecological asset values are useful in assessing ecological resources in monetary units, and can provide a scientific basis for green GDP accounting and ecological compensation applications. In this paper, we presented an indicator system for measuring ecological asset values, including natural resource values and ecological service values. Based on these measurement indicators, we comprehensively calculated the values of ecological asset indicators and analyzed their spatio-temporal dynamics by using the Zengcheng District of Guangzhou as a case study. Furthermore, we presented relevant countermeasures and suggestions for more sustainable ecological asset management through integrative analysis of social-economic development and ecological asset dynamics. The results showed that the total ecological asset values of Zengcheng in 2003, 2008, and 2013 were 28.64, 28.79, and 33.06 billion yuan, respectively. The natural resource value and ecosystem service value on average accounted for 62% and 38%, respectively, of the total ecological asset value. The values of all types of natural resources increased during the past 10-year period, and the values for agricultural land and grassland resources increased the most. However, the values for ecosystem services have been consistently decreasing, among which the soil conservation value decreased the most. According to these findings in Zengcheng, we presented relevant ecological asset management recommendations from the perspectives of natural resource management, ecological service supervision, ecological asset conservation, and ecological compensation applications. Overall, the indicator measurement system and evaluation method for comprehensive urban ecological asset assessment and management presented in this study not only guides the development of natural balance sheets and ecological asset management of Zengcheng, but also provides a good reference for the establishment of technical specifications for regional ecological asset assessments. 参考文献 相似文献 引证文献

Construction of Green GDP Accounting System

The traditional national economic accounting system and its main indicators GDP has certain limitations , including not reflect human resources, natural assets , such as real national wealth . Green GDP and real savings can be more realistically reflect a country's national wealth , and to measure the national and regional economic sustainability. This paper describes the system made ​​of green GDP , according to the 2000 Chinese statistics , China's GDP over the correction , calculate green GDP over the country. On this basis , the paper finally the status quo of China's current economic development in a sustainable environment , in-depth analysis .

A Model for Urban Environment and Resource Planning Based on Green GDP Accounting System

The urban environment and resources are currently on course that is unsustainable in the long run due to excessive human pursuit of economic goals. Thus, it is very important to develop a model to analyse the relationship between urban economic development and environmental resource protection during the process of rapid urbanisation. This paper proposed a model to identify the key factors in urban environment and resource regulation based on a green GDP accounting system, which consisted of four parts: economy, society, resource, and environment. In this model, the analytic hierarchy process (AHP) method and a modified Pearl curve model were combined to allow for dynamic evaluation, with higher green GDP value as the planning target. The model was applied to the environmental and resource planning problem of Wuyishan City, and the results showed that energy use was a key factor that influenced the urban environment and resource development. Biodiversity and air quality were the most sensitive factors that influenced the value of green GDP in the city. According to the analysis, the urban environment and resource planning could be improved for promoting sustainable development in Wuyishan City.

Statistical and econometric analysis of the impact of China's energy, environment on the economic development

Through statistical description and analysis of econometric models of energy consumption, environmental conditions, and their impact on economic development, we draw conclusions that present China's economic growth is at the cost of the huge energy consumption and environmental pollution. To maintain long-term sustainable economic development, and achieve intensive economic growth, it is necessary to take industrial ecology and green GDP accounting approach of management targets.

China's “Green GDP” Experiment and the Struggle for Ecological Modernisation

The ongoing conflict between the goals of environmental conservation and economic growth in China is partly a conflict between state agencies charged with these contrasting missions. In recent years, state environmental agencies attempted to implement a green national accounting (green GDP) exercise to publicise the extent to which environment-related costs of economic activity reduce actual GDP, and to promote a more comprehensive and realistic accounting of economic development and of GDP growth. Despite the difficulties and controversies associated with this type of accounting elsewhere, particularly in Europe, Chinese agencies implemented this project in 2006 and 2007. But there was widespread resistance from regional and local governments, apparently allied to proponents of economic growth within the central government. Chinese scholars and many officials have embraced the concept of “ecological modernisation,” but the Party-State is also bound in many ways to the “treadmill of production.” We illustrate this ongoing dynamic conflict through a study of the attempts to implement a green GDP accounting in China.

A method of green GDP accounting based on eco-service and a case study of Wuyishan, China

Green GDP is an effective economic indicator of urban environmental management. This paper introduces a new method of accounting Green GDP, which puts the value of direct ecosystem services into GDP. Direct ecosystem services are weighted by their virtual prices and aggregated in the same way as market goods and services in GDP. They are components of nature, directly enjoyed, consumed, or used to yield human well-being. They belong to ecosystem services. In order to choose direct ecosystem services reasonably, two principles are put forward. That is, when calculating the value of ecosystem services for Green GDP, the differences between services for human beings and services for other living beings must be considered. And the green GDP of Wuyishan city of China is accounted, considering the direct ecological services value of urban ecosystem as environmental benefit. The results show that the value of direct ecosystem services in Wuyishan City in 2005 has reached 2.3 billion yuan RMB, and the green GDP is 15.3 billion yuan RMB.