scholarly journals The Impacts of Technology Shocks on Sustainable Development from the Perspective of Energy Structure—A DSGE Model Approach

2021 ◽  
Vol 13 (15) ◽  
pp. 8665
Author(s):  
Dongqing Sun ◽  
Fanzhi Wang ◽  
Nanxu Chen ◽  
Jing Chen
Keyword(s):  
Sustainable Development ◽  
Local Governments ◽  
Clean Energy ◽  
Dynamic Stochastic General Equilibrium ◽  
Energy Structure ◽  
Technology Shocks ◽  
Analysis Framework ◽  
Sustainability Index ◽  
Development Capacity ◽  
Dynamic Stochastic

Considering that the effect of different types of energy on sustainable development differs, the optimization of energy structure is commonly seen as a decisive factor for sustainable development. In this study, we focus on energy structure and construct a dynamic stochastic general equilibrium (DSGE) analysis framework including the environment, society, and the economy. Furthermore, we analyze the effect of different technology shocks on sustainable development when the proportion of clean energy is separately set at 10%, 20%, and 40%. To demonstrate the conclusions of the DSGE analysis framework, we construct the sustainability index and measure the relationship between the sustainability index scores and the proportion of clean energy of 68 countries in 2017, and the of the linear relationship between the sustainability index score and the proportion of clean energy was 0.30. Results show that the technology shock of clean energy exhibits more benefits for sustainable development than that of non-clean energy. Moreover, we find that the optimization of the energy structure can be helpful for the enhancement of sustainable development capacity. This study is helpful to expand the DSGE analysis framework from the perspective of energy structure. This study also provides effective ways and reference suggestions for local governments to optimize energy structure and improve sustainable development capability.

EXPLAINING INVENTORIES: A BUSINESS CYCLE ASSESSMENT OF THE STOCKOUT AVOIDANCE AND (S,s) MOTIVES

2007 ◽  
Vol 11 (5) ◽  
pp. 638-664 ◽  
Author(s):  
AUBHIK KHAN ◽  
JULIA K. THOMAS
Keyword(s):  
Model Performance ◽  
Idiosyncratic Risk ◽  
Dynamic Stochastic General Equilibrium ◽  
Reduced Form ◽  
Technology Shocks ◽  
Inventory Models ◽  
Dynamic Stochastic ◽  
Cyclical Behavior ◽  
S Model ◽  
The U.S

We evaluate two leading explanations for inventories, the (S,s) and stockout avoidance motives, examining each within dynamic stochastic general equilibrium environments. We find that the (S,s) model is far more consistent with the cyclical behavior of aggregate inventories in the postwar United States when fluctuations arise from technology shocks, rather than preference shocks, whereas the converse is true for the stockout avoidance model. The (S,s) model succeeds in explaining the average magnitude of inventories in the U.S. economy and in reproducing the cyclical regularities involving inventories and other aggregate series. The stockout avoidance model does not. Even with idiosyncratic risk added to strengthen it, the stockout avoidance motive is insufficient to generate stocks near the data without destroying model performance along other important margins. Moreover, it appears incapable of sustaining inventories alongside capital. These findings suggest a fundamental flaw in reduced-form inventory models where stocks are loosely rationalized by this motive.

Bayesian Estimation of DSGE Models

2015 ◽  
Author(s):  
Edward P. Herbst ◽  
Frank Schorfheide
Keyword(s):  
Monte Carlo ◽  
Sequential Monte Carlo ◽  
Likelihood Function ◽  
Academic Research ◽  
Dynamic Stochastic General Equilibrium ◽  
Computational Techniques ◽  
Dsge Models ◽  
Monte Carlo Techniques ◽  
Dynamic Stochastic ◽  
Theoretical Foundations

Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks. This book introduces readers to state-of-the-art computational techniques used in the Bayesian analysis of DSGE models. The book covers Markov chain Monte Carlo techniques for linearized DSGE models, novel sequential Monte Carlo methods that can be used for parameter inference, and the estimation of nonlinear DSGE models based on particle filter approximations of the likelihood function. The theoretical foundations of the algorithms are discussed in depth, and detailed empirical applications and numerical illustrations are provided. The book also gives invaluable advice on how to tailor these algorithms to specific applications and assess the accuracy and reliability of the computations. The book is essential reading for graduate students, academic researchers, and practitioners at policy institutions.

Insect vectors and their relationship with sustainable development indicators in neighborhoods of Natal, Northeastern Brazil

Gaia Scientia ◽  
2016 ◽  
Vol 10 (4) ◽  
pp. 182-194
Author(s):  
Paulo Sérgio Fagundes Araujo ◽  
Maria Cristiana da Silva Souto ◽  
Paulo Roberto Medeiros de Azevedo ◽  
Maria de Fatima Freire de Melo Ximenes
Keyword(s):  
Sustainable Development ◽  
Social Indicators ◽  
Northeastern Brazil ◽  
Insect Vectors ◽  
Sand Flies ◽  
High Positive Correlation ◽  
Breeding Sites ◽  
Development Indicators ◽  
Sustainable Development Indicators ◽  
Sustainability Index

This study aimed to correlate sustainable development indicators with the occurrence of mosquitoes from the genus Aedes and phlebotominae sand flies, vectors of dengue fever, American visceral leishmaniasis and American tegumentary leishmaniasis, in order to establish a relationship between infestation indices and sustainability conditions in southern and northern neighborhoods of Natal, Brazil, adjacent to environmental protection zones 5 and 9, respectively. Data were obtained on Aedes aegypti and A. albopictus breeding sites and captures of phlebotominae sand flies of the genus Lutzomyia in the study area between 2006 and 2008, from the Center of Zoonosis Control of the Municipal Health Secretariat, and correlated with environmental and social indicators. Factorial analysis was applied to transform these indicators into a sustainability index for each neighborhood studied (Neighborhood Sustainability Index – NSI). Relating these indices with the occurrence of insect vectors at these sites shows a high positive correlation between SID and the Breteau index of A. aegypti (p=0.028) and with the index of household infestation by phlebotominae sand flies (p=0.01). This reveals a pattern allowing the association of sustainability conditions in the study areas with the occurrence of these insects. Analyses demonstrate the occurrence of a larger number of A. aegypti breeding sites and higher indices of household infestation by phlebotominae sand flies in neighborhoods with lower sustainability indices. Knowledge of the relationship between sustainable development indicators and the occurrence of zoonotic vectors may contribute to public health programs as well as to a restructuring of public policies in the study areas.

Financial Reforms and Consumption Smoothing

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Martin Boileau ◽  
Tianxiao Zheng
Keyword(s):  
South Africa ◽  
South Korea ◽  
Consumer Credit ◽  
Dynamic Stochastic General Equilibrium ◽  
Consumption Smoothing ◽  
Empirical Literature ◽  
Lower Income ◽  
Financial Reforms ◽  
Collateral Constraint ◽  
Dynamic Stochastic

Abstract We study how financial reforms affect the extent of consumption smoothing in a dynamic stochastic general equilibrium model of an emerging economy. Consistent with the empirical literature and reform efforts in South Korea and South Africa, we emphasize the relation between consumer credit and durable purchases, and model reforms as the relaxation of the collateral constraint on lower income households. We find that the relaxation of the collateral constraint accounts for a substantial share of the decline in consumption smoothing experienced in South Korea and South Africa.

scholarly journals Sustained sustainable development actions of China from 1986 to 2020

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bingsheng Liu ◽  
Tao Wang ◽  
Jiaming Zhang ◽  
Xiaoming Wang ◽  
Yuan Chang ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Local Governments ◽  
Local Development ◽  
Well Being ◽  
The Sustainable Development ◽  
Positive Effects ◽  
Development Goals ◽  
Development Levels ◽  
The Right ◽  
Resource Conditions

AbstractAchieving the Sustainable Development Goals (SDGs) is a long-term task, which puts forward high requirements on the sustainability of related policies and actions. Using the text analysis method, we analyze the China National Sustainable Communities (CNSCs) policy implemented over 30 years and its effects on achieving SDGs. We find that the national government needs to understand the scope of sustainable development more comprehensively, the sustained actions can produce positive effects under the right goals. The SDGs selection of local governments is affected by local development levels and resource conditions, regions with better economic foundations tend to focus on SDGs on human well-being, regions with weaker foundations show priority to basic SDGs on the economic development, infrastructures and industrialization.

Interactive effects between monetary policy and fiscal policy based on dynamic stochastic general equilibrium model

2020 ◽  
pp. 1-12
Author(s):  
Ying Xie
Keyword(s):  
Monetary Policy ◽  
Fiscal Policy ◽  
General Equilibrium ◽  
Equilibrium Model ◽  
Control Policy ◽  
Dynamic Stochastic General Equilibrium ◽  
Economic Effects ◽  
Interactive Effects ◽  
Supply Side ◽  
Dynamic Stochastic

From the beginning to the end, monetary policy has focused too much on the control of the supply side. At present, the single supply-based monetary policy is ineffective. Therefore, it is urgent to change the current single direct supply-side regulation and control policy and replace it with a non-single and indirect control policy that combines supply and demand. Based on machine learning algorithms, this paper constructs a monetary policy analysis model based on dynamic stochastic general equilibrium methods to analyze the interactive effects of monetary policy and other policies. Moreover, this paper uses the dynamic stochastic general equilibrium model to simulate and analyze the economic effects of fiscal policy. In addition, this paper compares the economic effects of monetary policy and other policies and conducts verification and analysis through actual data. The obtained results show that the model constructed in this paper achieves the expected effect.

scholarly journals The Global Sustainability Index: An Instrument For Assessing The Progress Towards The Sustainable Organization

2015 ◽  
Vol 67 (1) ◽  
pp. 215-220 ◽  
Author(s):  
Valentin Grecu
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Optimal Solution ◽  
Decision Makers ◽  
Decision Making Process ◽  
Sustainability Index ◽  
Global Sustainability ◽  
Multiple Indicators ◽  
Mathematical Algorithms ◽  
General Indicator

Abstract There is rarely an optimal solution in sustainable development but most frequently a need to build compromises between conflicting aspects such as economic, social and environmental ones and different expectations of stakeholders. Moreover, information is rarely available and precise. This paper will focus on how to use indicators to monitor sustainable development, integrating the information provided by many of them into a complex general sustainability index. Having this general indicator is essential for decision makers as it is very complicated to evaluate the performance of the organization based on multiple indicators. The objective of this paper is to find mathematical algorithms for simplifying the decision-making process by offering an instrument for the evaluation of the sustainability progress.

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