scholarly journals Efficiency Evaluation of Energy in Northeastern China Based on Data Envelopment Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hongyan Li ◽  
Zhiyu Ma ◽  
Jie Sun
Keyword(s):  
Economic Development ◽  
Service Sector ◽  
Industrial Structure ◽  
Economic Transformation ◽  
Northeastern China ◽  
Total Output ◽  
Per Capita Gdp ◽  
Government Planning ◽  
Per Capita ◽  
The Government

The development of the energy economy in Northeastern China is unbalanced. In this paper, some energy structures such as oil, coal, and electricity are chosen as input indexes, while per capita gross domestic product (GDP) and total retail sales of consumer goods are desirable output indexes. The main causes of haze are industrial waste gas emission, industrial wastewater discharge, and solid waste production, which are regarded as undesirable output indexes. Environmental variables include industrial structure, urbanization, per capita GDP, and government planning. The proportion of the tertiary industry’s output value to its total output value is one of the important indexes to measure economic development in one area. Therefore, industrial structure plays a vital role in a region’s economic development. The tertiary industry oriented by service sector is the main force to promote economic transformation. The development of the urban economy will change from high to low as the process of urbanization, which can be characterized by green coverage of the urban built-up area. The higher per capita GDP, the higher the economic development can be achieved. Government planning refers to the total number of construction projects and completed projects in the year the government takes measures to control pollution. It shows that the total factor productivity of energy green efficiency has been stable in the last decades but fluctuated wildly in special periods, in which technical progress has played a great role, as well as the increase of technical efficiency.

scholarly journals Decoupling of Carbon Emissions from Economic Growth: An Empirical Analysis Based on 264 Prefecture-Level Cities in China

2021 ◽  
Author(s):  
Wenmei KANG ◽  
Benfan LIANG ◽  
Keyu XIA ◽  
Fei XUE ◽  
Yu LI
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Economic Development ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Low Carbon ◽  
Per Capita Gdp ◽  
Plan Period ◽  
Per Capita

After setting the goal of peaking carbon emissions before 2030 and achieving carbon neutrality before 2060, it has become an irresistible trend for China to decouple carbon emissions from its economic growth. Since cities play a central role in reducing carbon emissions, the issues such as whether and when their carbon dioxide emissions can be decoupled from economic growth have become the focus of attention. Based on the carbon dioxide emissions of 264 prefecture-level cities in China from 2000 to 2017, this paper uses the Tapio decoupling index to measure the decoupling relationship between carbon emissions and economic growth of cities, analyzes the space–time evolution characteristics of carbon emissions and decoupling indexes by stages, and explores the relationship between carbon emissions and socio-economic development characteristics such as per capita GDP and industrial structure. The main conclusions drawn therefrom are as follows: (i) From 2000 to 2017, the city-wide carbon emissions rose from 2.484 billion tons in 2000 to 7.462 billion tons in 2017, registering a total increase of 200.40%. But the growth rate of carbon emissions within cities has been significantly reduced. (ii) As years passed by, the number of cities that achieved strong decoupling saw a significant increase, from zero in the 10th–11th Five-Year Plan period to 14 in the 12th Five-Year Plan period and the first two years of the 13th Five-Year Plan period, accounting for 5.3% of the total number of cities. (iii) There is an inverted U-shaped curve relationship between per capita carbon emissions and per capita GDP, which is consistent with the EKC curve hypothesis, but Chinese cities are still in the growth stage of the quadratic curve currently. The correlation between per capita CO2 emission and the proportion of the secondary industry was positive. The results of this study are expected to provide experience for the low-carbon development of cities in China and other developing countries, and provide references for the formulation and evaluation of policies and measures related to low-carbon economic development based on the decoupling model.

Railroad Integration and Uneven Development on the European Periphery, 1870–1910

2021 ◽  
Vol 45 (2) ◽  
pp. 261-289
Author(s):  
Eduard J. Alvarez-Palau ◽  
Alfonso Díez-Minguela ◽  
Jordi Martí-Henneberg
Keyword(s):  
Economic Development ◽  
Positive Impact ◽  
Data Set ◽  
Per Capita Gdp ◽  
Catching Up ◽  
Nation States ◽  
Railroad Network ◽  
Per Capita ◽  
European Periphery ◽  
The Relationship

AbstractThis study explores the relationship between railroad integration and regional development on the European periphery between 1870 and 1910, based on a regional data set including 291 spatial units. Railroad integration is proxied by railroad density, while per capita GDP is used as an indicator of economic development. The period under study is of particular relevance as it has been associated with the second wave of railroad construction in Europe and also coincides with the industrialization of most of the continent. Overall, we found that railroads had a significant and positive impact on the growth of per capita GDP across Europe. The magnitude of this relationship appears to be relatively modest, but the results obtained are robust with respect to a number of different specifications. From a geographical perspective, we found that railroads had a significantly greater influence on regions located in countries on the northern periphery of Europe than in other outlying areas. They also helped the economies of these areas to begin the process of catching up with the continent’s industrialized core. In contrast, the regions on the southern periphery showed lower levels of economic growth, with this exacerbating the preexisting divergence in economic development. The expansion of the railroad network in them was unable to homogenize the diffusion of economic development and tended to further benefit the regions that were already industrialized. In most of the cases, the capital effect was magnified, and this contributed to the consolidation of newly created nation-states.

scholarly journals Study on the relationship between industrialization level, economic development and environmental pollution in China

2019 ◽  
Vol 7 (6) ◽  
pp. 01-06
Author(s):  
Junran Ma
Keyword(s):  
Economic Development ◽  
Environmental Pollution ◽  
Environmental Kuznets Curve ◽  
Added Value ◽  
Response Analysis ◽  
Kuznets Curve ◽  
Per Capita Gdp ◽  
Per Capita ◽  
Pollution Emissions ◽  
The Relationship

With the development of economy, environmental problems gradually outstanding in China. This article adopts the method of empirical study, have collected the data of China's industrial added value, per capita GDP and emissions of the three major pollutants from 2004 to 2015. The VAR model was established on the basis of the logarithm values of the three factors mentioned above, so as to conduct impulse- response analysis to discuss the relationship between industrialization level, economic development and environmental pollution. The conclusion is as follows: (1) At present, the increase of China's industrial added value can promote the decline of China's environmental pollution emissions to a certain extent; (2) China is now at the left of the turning point of the Environmental Kuznets Curve, and the increase of per capita GDP will aggravate environmental pollution.

Study on the Relationship between the Economics and Environment of Puyang City Based on Environmental Kuznets Curve

2013 ◽  
Vol 807-809 ◽  
pp. 773-782
Author(s):  
Qing Song Li ◽  
Kai Kang ◽  
Jia Wei Zhu ◽  
Qing Xiang Meng ◽  
Su Jun Deng
Keyword(s):  
Environmental Kuznets Curve ◽  
Industrial Structure ◽  
Kuznets Curve ◽  
Environmental Index ◽  
Per Capita Gdp ◽  
Sulfur Dioxide Emissions ◽  
Per Capita ◽  
Spss Software ◽  
Set Up ◽  
The Relationship

The study set up the model of per capita GDP and the environmental index based on the Environmental Kuznets Curve (EKC) with the support of SPSS software and the 2003-2011 economics and environment data of Puyang City. And the result shows that the environmental Kuznets Curve (EKC) of industrial wastewater discharge and industrial sulfur dioxide emissions both display inverted U-shape; and just across the turning point, the discharge present downward trend with the increasing of per capita GDP; while the EKC of industrial fumes emissions display positive U-shape, and its emission present upward trend first and then downward with the increasing of per capita GDP. It shows that the environmental problems of Puyang City has partly improved, but has not been fully restrained. The main reasons are unreasonable industrial structure, single dominated industy and relatively low investment on environmental improvement.

Remittances and Economic Growth

2020 ◽  
pp. 325-343
Author(s):  
Mustafe Pllana ◽  
Aida Tmava
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Aggregate Demand ◽  
Trade Deficit ◽  
Financial Capital ◽  
Foreign Direct Investments ◽  
Per Capita Gdp ◽  
Goods And Services ◽  
Multiplicative Effect ◽  
Per Capita

Economic growth has become an important study growth matter. By economists economic growth is defined as capital stock growth, rising per capita GDP, increased access for manufactured goods and services for consumption and so on. In economic growth affect several factors and policies. Corruption, lack of investment, inappropriate institutions, inappropriate education etc. are some of obstacles to economic development. Consumption and investment are important components of aggregate demand with multiplicative effect in development. Remittances of migrants are significant potential financial capital used for investments, reflected in economic development and social prosperity. Remittances in Kosovo since 1960 have always been increasing. Participation of remittances to GDP in Kosovo in 2010 is about 12%. Remittances are the highest contributor to the Kosovo trade deficit coverage and are higher than foreign direct investments. Remittances unfortunately for various reasons are not exploited and are not sufficiently exploited for economic development.

Rationality and coordination: Visualizing highway network in Sichuan, China

2020 ◽  
Vol 52 (6) ◽  
pp. 1032-1036
Author(s):  
Wenjie Sun ◽  
Sijing Liu ◽  
LuLu Zhu ◽  
Guoqi Li
Keyword(s):  
Economic Development ◽  
Regional Differences ◽  
Research Result ◽  
Effective Solution ◽  
High Quality ◽  
Per Capita Gdp ◽  
Plateau Area ◽  
Highway Network ◽  
Level Of Economic Development ◽  
Per Capita

The highway network is considered to be an effective solution for reducing regional differences and promoting high-quality economic development. This study mapped Sichuan’s highway network on an equal per capita GDP cartogram and on an equal highway freight volumes cartogram, which can provide a unique perspective to recognize the rationality of highway layouts and its coordination relationship with the population and economic development. The research result indicates that highway layouts are seriously affected by the topographical and geologic conditions, and the population and level of economic development are key influencing factors. It also shows that the density of the highway network is still seriously inadequate in the vast mountain and plateau area.

Prospects and Opportunities for New Techno-Economic Paradigms — New Technological Modes

2018 ◽  
Vol 6 (1) ◽  
pp. 4-11
Author(s):  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Елена Басовская ◽  
Elena Basovskaya
Keyword(s):  
Economic Development ◽  
Harmonic Component ◽  
Developed Countries ◽  
Econometric Models ◽  
Per Capita Gdp ◽  
The Real ◽  
Economic Paradigm ◽  
Fixed Assets ◽  
Per Capita ◽  
Regions Of Russia

The model of long-term technical and economic development of industrial and post-industrial economic systems is constructed. The system consists of several subsystems existing simultaneously. Each new subsystem, embodying a new technical and economic mode, provides a higher level of per capita income. The transition to each new stage of technical and economic development — the transition to the predominance, the dominance of the technical and economic paradigm, and the beginning of the spread of a new technical and economic paradigm occurs at the moment when the upward half-wave of the Kondratiev cycle begins to form. To establish the moments of the onset of the upward halfwaves of Kondratiev cycles and the timing of the start of the spread of new techno-economic modes, econometric models of real per capita GDP in developed countries, including a smooth and cyclic (harmonic) component, were constructed. The average duration of the third cycle in these countries was 51.9 years, the fourth cycle — 49.8 years. Because of the construction of econometric models, it was possible to evaluate the productivity of relic, fourth, fifth and sixth technical and economic paradigms in developed countries. The average value of the maximum productivity of the fourth techno-economic mode was 2594 Geri-Hemis $ 1990, the fifth — 12,245 Geri-Hemis $ 1990, the sixth — 25 374 Geri-Hemis $ 1990. The average contribution to the real per capita GDP of relict modes and the fourth mode in the period of its domination was 5004 Geri-Hemis $ 1990, which corresponds to the value of 161,379 rubles. 2008. The excess of this value in Russia provided isdue to the spread of the fifth technical and economic mode. Its significant contribution to the real per capita GDP of the country began to observe since 2001 and by 2015 reached 47%. Modeling the period of the contribution of the fifth paradigm to Russia’s per capita GDP made it possible to predict the transition to its dominance in 2040. The forecast of the transition to the domination of the fifth mode in the regions of Russia is to include this time from 2010 to 2200. Construction of production functions based on data on per capita GRP over the years made it possible to establish that investment in fixed assets and an increase in the share of employed persons with a higher education can accelerate the spread of the fifth techno-economic mode and have received estimates of their effectiveness in the regions of Russia. A feature of the regions in which new modes did not receive proliferation was the low capitalization of new fixed assets and the increased number of employees of territorial bodies of federal executive bodies.

scholarly journals Effects of Economic Growth, Trade Openness, and Urbanization on Carbon Dioxide Emissions in Ghana, 1960 to 2014

2020 ◽  
Vol 7 (2) ◽  
pp. 9 ◽  
Author(s):  
Forster Kwame Boateng
Keyword(s):  
Carbon Dioxide ◽  
Low Income ◽  
Carbon Dioxide Emissions ◽  
Trade Openness ◽  
Economic Transformation ◽  
Total Carbon ◽  
Annual Data ◽  
Middle Income ◽  
Per Capita Gdp ◽  
Per Capita

This paper examines the effects of per capita gross domestic product (GDP), trade openness, and urbanization on the total carbon dioxide emissions of Ghana using time-series annual data from 1960 to 2014. The 55-year period, from 1960 to 2014, covered economic transformation of Ghana from a low-income agrarian country to a lower-middle income country. The analysis used the autoregressive distributed lag method of co-integration. The results showed that per capita GDP, trade openness, and urbanization all significantly influenced both long-run and short-run levels of carbon dioxide emissions in Ghana. However, increased trade openness led to reduced total emissions, while rising per capita GDP and increased urbanization both increased total emissions albeit at different intensity levels.

scholarly journals Relationships between Causal Factors Affecting Future Carbon Dioxide Output from Thailand’s Transportation Sector under the Government’s Sustainability Policy: Expanding the SEM-VECM Model

Resources ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 81 ◽  
Author(s):  
Pruethsan Sutthichaimethee ◽  
Danupon Ariyasajjakorn
Keyword(s):  
Energy Consumption ◽  
Confidence Interval ◽  
Co2 Emissions ◽  
Direct Effect ◽  
Industrial Structure ◽  
Per Capita Gdp ◽  
Net Exports ◽  
Transportation Sector ◽  
Per Capita ◽  
Urbanization Rate

This research aims to analyze the relationships between causal factors likely to affect future CO2 emissions from the Thai transportation sector by developing the Structural Equation Modeling-Vector Autoregressive Error Correction Mechanism Model (SEM-VECM Model). This model was created to fill information gaps of older models. In addition, the model provides the unique feature of viable model application for different sectors in various contexts. The model revealed all exogenous variables that have direct and indirect influences over changes in CO2 emissions. The variables show a direct effect at a confidence interval of 99%, including per capita GDP (), labor growth (), urbanization rate factor (), industrial structure (), energy consumption (), foreign direct investment (), oil price (), and net exports (). In addition, it was found that every variable in the SEM-VECM model has an indirect effect on changes in CO2 emissions at a confidence interval of 99%. The SEM-VECM model has the ability to adjust to the equilibrium equivalent to 39%. However, it also helps to identify the degree of direct effect that each causal factor has on the others. Specifically, labor growth () had a direct effect on per capita GDP () and energy consumption () at a confidence interval of 99%, while urbanization rate () had a direct effect on per capita GDP (), labor growth (), and net exports () at a confidence interval of 99%. Furthermore, industrial structure () had a direct effect on per capita GDP () at a confidence interval of 99%, whereas energy consumption () had a direct effect on per capita GDP () at a confidence interval of 99%. Foreign direct investment () had a direct effect on per capita GDP () at a confidence interval of 99%, while oil price () had a direct effect on industrial structure (), energy consumption (), and net exports () at a confidence interval of 99%. Lastly, net exports () had a direct effect on per capita GDP () at a confidence interval of 99%. The model eliminates the problem of heteroskedasticity, multicollinearity, and autocorrelation. In addition, it was found that the model is white noise. When the SEM-VECM Model was used for 30-year forecasting (2018–2047), it projected that CO2 emissions would increase steadily by 67.04% (2047/2018) or 123.90 Mt CO2 Eq. by 2047. The performance of the SEM-VECM Model was assessed and produced a mean absolute percentage error (MAPE) of 1.21% and root mean square error (RMSE) of 1.02%. When comparing the performance value with the values of other, older models, the SEM-VECM Model was found to be more effective and useful for future research and policy planning for Thailand’s sustainability goals.

scholarly journals Impact of Social and Economic Development on Sediment Load of the Yellow River

2021 ◽  
Vol 13 (14) ◽  
pp. 7976
Author(s):  
Guangming Tan ◽  
Shasha Han ◽  
Yuecong Yu ◽  
Rui Hu ◽  
Yiwei Lv ◽  
...  
Keyword(s):  
Economic Development ◽  
Social Development ◽  
River Basin ◽  
Sediment Load ◽  
Yellow River ◽  
The Yellow River ◽  
The Loess Plateau ◽  
Sediment Delivery ◽  
Per Capita Gdp ◽  
Per Capita

Approximately 90% of the sediment yield of the Yellow River is derived from the Loess Plateau. In this paper, the Loess Plateau was used as the research object. To investigate the influence of economic and social development on reducing sediment load of the Yellow River, a mathematical method was employed with hydrological and sediment data from three hydrological stations (Toudaoguai and Sanmenxia at the Yellow River, and Ganguyi at the Yan River) as well as per capita GDP data from the Yan River basin. The results showed that the reduction in runoff in the reaches between the Toudaoguai and Sanmenxia stations accounted for 39.3% of the decrease in the sediment load of the Yellow River, and the other 60.7% of the decrease may have resulted from economic and social development. Using the Yan River basin as an example, there was an inverse relationship between per capita GDP and sediment delivery during the period from 1984 to 2018. Grey relational analysis revealed a relatively high relation between the sediment load of the Yan River and the number of rural laborers transferred from the area, the afforestation area, and the tertiary industry value of Yan’an city. Thus, economic development and social transformation are highly related to sediment delivery in the basin, which may result in a decrease in sediment delivery to some extent.

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