scholarly journals Is Green Credit a Good Tool to Achieve “Double Carbon” Goal? Based on Coupling Coordination Model and PVAR Model

2021 ◽  
Vol 13 (24) ◽  
pp. 14074
Author(s):  
Yi Hu ◽  
Jiayu Zheng
Keyword(s):  
Carbon Emissions ◽  
Time Series Data ◽  
National Level ◽  
Pollution Prevention ◽  
Series Data ◽  
Credit Policy ◽  
Coordinated Development ◽  
Coordination Model ◽  
Policy Tool ◽  
Panel Vector Autoregression

China attaches importance to the combination of credit policy and environmental protection, tries to use credit policy tools to protect ecology and pollution prevention, and prevent environmental credit risk. With the proposal of the goal of “carbon peak and carbon neutralisation” (“double carbon”), green credit is also regarded as an important policy tool to achieve this goal. Firstly, this paper selects the time series data of green credit at the national level from 2013 to 2019 according to the official statistics and evaluates the coupling and coordinated development of credit system and environmental system based on the coupling coordination model. The results show that the two systems show well-coordinated development, but the interaction has annual fluctuations. Secondly, by calculating the provincial carbon emissions and green credit panel data from 2005 to 2019, the dynamic internal mechanism is analysed based on Panel Vector Autoregression (PVAR) model. It is found that green credit has a significant inhibitory effect on carbon emissions. The research results of this paper provide an overall evaluation of the quantity and quality of green credit for China’s banking industry. It also provides reasonable and effective support for green credit as a policy tool to promote realising the “double carbon” goal. In addition, China should maintain the consistency, stability and durability of green credit policy and continue to contribute to the low-carbon transformation of the economy and society.

The Decomposition Analysis of Carbon Emissions: Theoretical Basis, Methods and Their Evaluations

2020 ◽  
Vol 08 (04) ◽  
pp. 2050020
Author(s):  
Shenning QU
Keyword(s):  
Environmental Economics ◽  
Carbon Emissions ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Series Data ◽  
Process Time ◽  
Structural Decomposition Analysis ◽  
Systematic Analysis ◽  
Index Decomposition ◽  
Laspeyres Index

As an analytical framework for studying the characteristics of changes in things and their action mechanisms, the decomposition analysis of greenhouse gas emissions has been increasingly used in environmental economics research. The author introduces several decomposition methods commonly used at present and compares them. The index decomposition analysis (IDA) of carbon emissions usually uses energy identities to express carbon emissions as the product of several factor indexes, and decomposes them according to different weight-determining methods to clarify the incremental share of each index, in which way it is possible to decompose the models that contain less factors, process time series data, and conduct cross-country comparisons. It mainly includes the Laspeyres index decomposition and the Divisia index decomposition. Among them, the LMDI I method has been widely used for its advantages such as generating no residuals and easy to use. The structural decomposition analysis (SDA) can be used to conduct a more systematic analysis, decompose models with more influencing factors, and analyze the impacts of various factors on emissions, but this method has higher requirements for data collection. The biggest difference between the SDA method and the IDA methods of carbon emissions is that the former is based on an input–output system, while the latter only needs to use sectors’ aggregate data.

scholarly journals Analysis of Factors Affecting the Human Development Index in West Kalimantan Province using Data Panel Data Regression

2018 ◽  
Vol 18 (2) ◽  
pp. 97-105
Author(s):  
Uray Hety Humaira ◽  
Jaka Nugraha
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
National Level ◽  
Fixed Effect Model ◽  
Paper Analysis ◽  
Series Data ◽  
West Kalimantan ◽  
Development Index ◽  
Capita Expenditure

Development in the country is growing including in the West Borneo Province. However in 2015, the achievement of human development at the National level is quite low, while the District and City varied considerably. Human Development Index is one of the parameter for human development that are affected by many factors. In this paper, analysis for identify the factors for human development index in West Kalimantan Province by using Regression Analysis was conducted. Regression was based on time series data from 2012 until 2015. It is found that Fixed Effect Model is the best regression model with the R2 of 0.99853%. The influencing variables are Life Expectancy (AHH), Adjusted Per Capita (Expenditure), School Average (RLS), School Expectation (HLS), and Gross Regional Domestic Product at Constant Price (GRDP).

scholarly journals Nonlinear Effects of Urbanization and Outward Foreign Direct Investment on Carbon Emissions in China

2018 ◽  
Vol 10 (12) ◽  
pp. 4411 ◽  
Author(s):  
Ming Yi ◽  
Mengqi Gong ◽  
Ting Wu ◽  
Yue Wang
Keyword(s):  
Foreign Direct Investment ◽  
Carbon Emissions ◽  
Direct Investment ◽  
Time Series Data ◽  
Series Data ◽  
Outward Foreign Direct Investment ◽  
Low Carbon ◽  
Markov Switching Model ◽  
Causality Test ◽  
High Emission

It is essential to explore the relationship between China’s urbanization, outward foreign direct investment, and carbon emissions, in order to better understand China’s carbon emissions reduction target. To this end, the nonlinear Granger causality test and Markov-switching model are applied to analyze the structural effects of urbanization and outward foreign direct investment on domestic emissions, on the basis of time series data from 1984–2016. The results show that the promotion effect of outward foreign direct investment on carbon emissions is increased from low-carbon regime to high-emission regime. Specifically, 1% increase in OFDI leads to a rise in carbon emissions by 0.064% and 0.112% under the former and latter regime respectively. Unlike the effect trend of outward foreign direct investment, the effect of urbanization on carbon emissions is decreased from a high-emission regime (5.221% rise in carbon emissions with 1% increase in the level of urbanization) to a low-carbon regime (3.133% rise in carbon emissions with 1% increase in the level of urbanization).

scholarly journals Relative effects of regional and global trade on carbon emissions in ECOWAS member countries

2019 ◽  
Vol 22 (1) ◽  
pp. 64-75
Author(s):  
Lukman O Oyelami
Keyword(s):  
Environmental Quality ◽  
Carbon Emissions ◽  
Time Series Data ◽  
Relative Effect ◽  
Data Availability ◽  
Series Data ◽  
Global Trade ◽  
Panel Ardl ◽  
Long Run ◽  
Short Run

The effect of trade on environmental quality has always been ambiguous in both developed and developing countries. This has prompted several country- and region-specific studies. It is against this background that this study seeks to investigate the effect of international trade on carbon emissions in the ECOWAS subregion in general and specifically determines the relative effect of regional and global trade on carbon emissions. To achieve this, time series data on trade and carbon emissions from 1970 to 2014 were employed for 14 ECOWAS member countries based on data availability and the data were duly subjected to required econometric tests to prevent spurious analysis. PMG/MG method of panel ARDL was adopted to estimate the relative effect of regional and global trade on carbon emissions and this is based on capability of the method to classify relationship into short-run and long-run and also solve endogenity issues. The results from model estimation show that effect of trade on environmental quality is a long-term phenomenon and basically support the view that trade has negative effect on environmental quality. However, regional trade is less harmful and it can guarantee improved environment quality in the long run. The study therefore recommend that countries in the region should trade more with one another especially in areas where they lack competiveness as this can better guarantee a more sustainable development for the entire subregion.

Research on the Relationship between Economic Growth, Environmental Governance Investment and Carbon Emission--Based on the Time Series Data from 2000 to 2019

2020 ◽  
pp. 713-727
Author(s):  
Xiaohui Wang, Xin Zhang
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Environmental Governance ◽  
Time Series Data ◽  
Series Data ◽  
Per Capita ◽  
The Relationship

The study on the relationship between investment in environmental governance, carbon emission and economic growth is helpful for the relevant government departments to coordinate the influence among them when formulating the policies of reducing emission and conserving energy, so as to take the comparative advantages of various factors and promote the benign interaction between economic development and environmental governance. In this paper, the data of Per capita GDP, per capita investment in environmental governance and per capita CARBON dioxide emissions in China from 2000 to 2019 are selected as the research basis, and variables are studied by means of Granger causality and impulse response function. As shown in the results, there is a single Granger relationship between investment in environmental governance and carbon emissions, that is, the increase of investment in environmental governance leads to the reduction of carbon emissions. The influence of economic growth on environmental governance investment is small, but in the long term, it can restrain the growth of carbon emissions. Investment in environmental governance can promote economic growth and stimulate a reduction in the emissions in the short term; Economic growth was hindered by the emissions in the long term and fail to stimulate increased investment in environmental governance. Based on these findings, this paper proposes policy Suggestions for optimizing the structure of environmental governance investment, improving the carbon emission monitoring and response mechanism, and strengthening the technological level of energy conservation and emission reduction.

scholarly journals OxCOVID19 Database: a multimodal data repository for better understanding the global impact of COVID-19

2020 ◽  
Author(s):  
Adam Mahdi ◽  
Piotr Blaszczyk ◽  
Pawel Dlotko ◽  
Dario Salvi ◽  
Tak-Shing T. Chan ◽  
...  
Keyword(s):  
Time Series Data ◽  
National Level ◽  
Series Data ◽  
Data Repository ◽  
Multimodal Data ◽  
Geographical Regions ◽  
The Impact ◽  
Official Sources ◽  
Source Of Information ◽  
Pharmaceutical Interventions

Oxford COVID-19 Database (OxCOVID19 Database) is a comprehensive source of information related to the COVID-19 pandemic. This relational database contains time-series data on epidemiology, government responses, mobility, weather and more across time and space for all countries at the national level, and for more than 50 countries at the regional level. It is curated from a variety of (wherever available) official sources. Its purpose is to facilitate the analysis of the spread of SARS-CoV-2 virus and to assess the effects of non-pharmaceutical interventions to reduce the impact of the pandemic. Our database is a freely available, daily updated tool that provides unified and granular information across geographical regions.

scholarly journals Efficiency of Domestic and Foreign Banks in Thailand Since the Asian Financial Crisis

2008 ◽  
Author(s):  
Tosporn Chotigeat
Keyword(s):  
Financial Crisis ◽  
Financial Services ◽  
Time Series Data ◽  
Financial Time Series ◽  
Full Range ◽  
National Level ◽  
Foreign Banks ◽  
Series Data ◽  
Loan Loss ◽  
Loan Loss Provisions

During the 1990’s, two simultaneous phenomena had converged, greatly changing the financial services industry in Thailand. At the national level, Thai banks had to restructure in response to the financial reforms implemented as a result of the financial crisis of 1997. At the global level, large multinational banks were taking advantage of worldwide, financial deregulation and rapid technological advances by offering a full range of financial products and services in order to fiercely compete, both domestically and globally. Using quarterly financial time-series data of domestic and foreign banks in Thailand from 1997 to 2003, this paper seeks to analyze the cause of their efficiency. The findings indicate that both the efficiency ratio and loan loss provisions influenced the negative performance of domestic banks, while only loan loss provisions had negatively influenced the performance of foreign banks.  

PENGARUH SUBSIDI INPUT TERHADAP NILAI TUKAR PETANI PADI DI INDONESIA

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Redy Prasetyo ◽  
R. N. Afsdy Saksono
Keyword(s):  
Path Analysis ◽  
Time Series Data ◽  
National Level ◽  
Secondary Data ◽  
Terms Of Trade ◽  
Series Data ◽  
Survey Method ◽  
National Data ◽  
Agricultural Input ◽  
Paddy Yield

This study aimed to determine how impact of the agricultural input subsidy on farmer terms of trade in Indonesia. This study used a quantitative approach with survey method on time series data of each variable analyzed. Research variables were seed subsidy, fertilizer subsidy, paddy yield and farmer terms of trade. The data used are secondary data from 2009-2015. The analytical method employed was path analysis was applied to the analysis of the national data. The results of path analysis showed that at the national level, seed subsidies affect NTP negatively. Fertilizer subsidies analysis at the national level, also showed negative affect on NTP.Keywords: seed subsidy, fertilizer subsidy, productivity, farmer terms of trade, path analysis

scholarly journals Investigating the Causal Relationships among Carbon Emissions, Economic Growth, and Life Expectancy in Turkey: Evidence from Time and Frequency Domain Causality Techniques

2021 ◽  
Vol 13 (5) ◽  
pp. 2924
Author(s):  
Husam Rjoub ◽  
Jamiu Adetola Odugbesan ◽  
Tomiwa Sunday Adebayo ◽  
Wing-Keung Wong
Keyword(s):  
Economic Growth ◽  
Life Expectancy ◽  
Frequency Domain ◽  
Causal Relationship ◽  
Carbon Emissions ◽  
Time Series Data ◽  
Wavelet Coherence ◽  
Series Data ◽  
Causal Relationships ◽  
Long Run

It is not a gainsaying that challenges to both healthy living and the environment are the result of deteriorating environmental quality with the attendant effect on environmental sustainability. To provide a solution to the issue, our study uses long time-series data from 1960 to 2018, and employs an overlapping generational model, the Bayer–Hanck cointegration test, wavelet coherence, Fourier Toda–Yamamoto, and Breitung–Candelon frequency-domain spectral causality tests to investigate the causal relationships among carbon emissions (CO2), economic growth (GDP), and life expectancy (LE) in Turkey. Different from the literature, we find a positive co-movement between life expectancy and CO2 and a positive correlation between LE and GDP at different scales; CO2 has a causal relationship with LE and a bidirectional causal relationship between LE and GDP, as well as short, medium, and long-run causal relationships with LE; GDP has medium and long-run causal relationships with LE, and LE has short, medium, and long-run causal relationships with GDP. Our findings guide policymakers on their policy decision-making that will address the energy consumption, environmental degradation, human health, environmental hazards, and allocation to science and technology in Turkey with the aim of ensuring overall sustainable development.

Total Factor Productivity in Manufacturing Industry for Delhi for Last Thirty Years

2014 ◽  
Vol 1 (1) ◽  
pp. 18-36
Author(s):  
Anindya Bhattacharya
Keyword(s):  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Time Series Data ◽  
Manufacturing Sector ◽  
National Level ◽  
Recent Time ◽  
Manufacturing Industries ◽  
Series Data ◽  
Factor Productivity ◽  
Level Data

This paper attempts to give an overview of the Total Factor Productivity Growth (TFPG) for the NCR or Delhi for the period from 1981-82 to 2011-12 for the manufacturing sector. Using the ASI time series data and Growth Accounting Approach the TFPG Index values are computed. The study reveals that for most of the major group or 2-digit level of manufacturing industries the respective TFPG values are declining over time. The results indicate that the lacklustre performance of the manufacturing sector equally holds in Delhi as it is already verified for the national level data of the sector through many other studies in recent time.

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