Analysis of Econometric Relationship between Urbanization and Energy Consumption in China

2013 ◽  
Vol 295-298 ◽  
pp. 2475-2480 ◽  
Author(s):  
Qing You Yan ◽  
Xiao Mei Dong ◽  
Xin Yao

This paper analyzed the econometric relationship between the urbanization and energy consumption from 1990 to 2010 in China with the co-integration theory and the error correction model. The results show that there is a long-term equilibrium relationship between urbanization and the total energy consumption, which has an effect of short-term adjustment. Urbanization has different effects on the consumption of coal, natural gas and electricity. Besides, the improvement of the urbanization level can lead to the increase of energy consumption in the short term. However, the energy efficiency can be improved in the long term due to the readjustment of the industrial structure and the promotion of energy-saving technologies. Therefore, the establishment of resource-saving urbanization model will help to reduce energy consumption under the current condition.

2013 ◽  
Vol 448-453 ◽  
pp. 4319-4324
Author(s):  
Sheng Wang ◽  
Chun Yan Dai ◽  
En Chuang Wang ◽  
Chun Yan Li

Analyzed the dynamic interaction characteristics of Chongqing Economic growth and energy consumption between 1980-2011 based on vector auto regression model, impulse response function. The results showed that: 1 Between the Chongqing's economic growth and energy consumption exist the positive long-term stable equilibrium relationship, Chongqing's economic development depending on energy consumption is too high, to keep the economy in Chongqing's rapid economic development, energy relatively insufficient supply sustainable development must rely on the energy market, which will restrict the development of Chongqing's economy. 2At this stage, Chongqing continuing emphasis on optimizing the industrial structure to improve energy efficiency at the same time, the key is to establish and improve the energy consumption intensity and total energy demand "dual control" under the security system, weakening the energy bottleneck effect on economic growth.


2012 ◽  
Vol 178-181 ◽  
pp. 718-721
Author(s):  
Rui Jie Liu ◽  
Zhi Hui Zhang

In order to describe the carbon emission situation of Chinese construction sector, this paper calculates the construction sector’s carbon emission and its efficiency of year 1994~2008 based on its energy consumption and economic output. And then the error correction model between the carbon emission and the output of the construction sector is established to predict carbon emission, with the effectiveness of the model proved. Using the error correction model, the long-term and short-term resilience of carbon emission is calculated, which indicates the main driving force of construction sector’s carbon emission is the overall output of construction sector.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0251824
Author(s):  
Yuanying Chi ◽  
Guoqing Bai ◽  
Jialin Li ◽  
Bin Chen

This study uses the improved Cobb-Douglas two-factor production function model to explore the potential relationship between economic growth and energy consumption through the multiple co-integration test on the panel data of China from 1985 to 2018. The results show that there is a positive long-term balance between energy consumption and economic growth: economic growth of 1%, total energy consumption growth of 1.53%, which means that economic growth needs higher energy support in the former short term. At the same time, the error correction term will converge energy consumption to a long-term equilibrium state with an adjustment intensity of 134.59%. From the results of variance decomposition, we can also see that as the number of periods increases, the part of real economic growth explained by energy consumption gradually increases.


2020 ◽  
Vol 81 ◽  
pp. 29-42
Author(s):  
J Zhao ◽  
C Dong ◽  
X Dong ◽  
Q Jiang

This study aims to explore the coordinated development of energy and industrial structures in China and their influence on the country’s inter-provincial CO2 emissions. The study utilizes an unbalanced panel dataset for 30 provinces in China covering 1995-2014 and, based on this, constructs an index system and measurement model of the coordinated development of industrial and energy structures. Considering the stationarity and cointegration of the variables, a series of econometric techniques are employed. At the same time, panel fully modified- and dynamic ordinary least squares (FMOLS and DOLS, respectively) models are used to estimate the long-term parameters of all variables. The overall estimations imply that the coordinated development levels of the dual structures show fluctuating trends, and are mainly at a low coordinated level (50-85%). The coordinated development degree of the dual structures can lead to a decline in CO2 emissions at the provincial level. The key driver is total energy consumption, followed by, in order of their impacts on CO2 emissions, fossil energy consumption, secondary industry ratio, and total population of the provinces and dual structure collaboration. However, the results indicate varied performance among the variables across regions. Finally, corresponding policy recommendations are proposed.


2012 ◽  
Vol 155-156 ◽  
pp. 945-949
Author(s):  
Juan Li ◽  
Zu Ting Zheng

Energy consumption and economic growth are inseparable, along with the constant expansion of the economy, increasing energy consumption in China, a huge energy consumption is greatly beyond the capacity of China's energy supply, while causing serious environmental pollution, the threat of China sustainable economic development. In this paper, China's energy consumption and economic growth analysis of the relationship between research, through error correction model to arrive at energy consumption and economic growth of the long-term equilibrium relationship, and accordingly put forward a sound proposal related to this relationship, for the government to take certain economic reforms was provided.


2016 ◽  
Vol 10 (1) ◽  
pp. 45-62
Author(s):  
Muhammad Fawaiq

Penelitian ini bertujuan untuk menganalisis hubungan antara Moda 2 dan Moda 3 dalam perdagangan internasional di sektor jasa pariwisata. Metode penelitian yang digunakan dalam penelitian ini adalah Panel Vector Error Correction Model (VECM) Granger. Data yang digunakan adalah data kedatangan wisatawan mancanegara dan Foreign Direct Investment (FDI) jasa hotel dan restoran tahun 1997-2014 di Bali, Jakarta, Kepulauan Riau dan Sumatera Utara. Daerah-daerah ini berkontribusi sebesar 81,26% dari total kedatangan wisatawan mancanegara di Indonesia dan 68% terhadap total FDI di jasa hotel dan restoran Indonesia. Hasil penelitian menunjukkan bahwa tidak terdapat hubungan kausalitas jangka pendek antara kedua variabel tetapi terdapat hubungan jangka panjang satu arah yaitu variabel Moda 3 dipengaruhi oleh variabel Moda 2. Hasil pengujian pada gabungan antara jangka panjang dan jangka pendek menujukkan bahwa variabel Moda 3 secara kuat dipengaruhi oleh variabel Moda 2. Dengan demikian diketahui bahwa semakin banyak jumlah wisatawan mancanegara yang datang ke Indonesia maka akan mendorong meningkatnya FDI di jasa hotel dan restoran, tetapi meningkatnya FDI di jasa tersebut tidak signifikan berpengaruh terhadap masuknya jumlah wisatawan mancanegara. This paper examines the relationship between Mode 2 and Mode 3 of international trade in tourism sector. The method used is the Panel Vector Error Correction Model (VECM) Granger. The data used in this study were the number of foreign tourist arrivals and the Foreign Direct Investment (FDI) in some hotels and restaurants during 1997-2014 in Bali, Jakarta, Riau Islands and Nort Sumatera.These regions contributed for 81.26% out of the total tourist arrivals in Indonesia and 68% of the total FDI in the services of hotels and restaurants Indonesia. The results using VECM Granger demonstrated that there was no short-term causality relationship between these two variables but they had a long-term causality relationship that the Moda 3 was affected by the variable mode 2. Test results on a combination of long-term and short-term showed that the variable mode 3 was strongly influenced by variable mode 2. Thus, it is known that the more foreign tourists coming to Indonesia, the more FDI we gained from the service of hotels and restaurants, but this increase does not significantly affect the number of foreign tourists.


2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Saliha Meftah ◽  
Abdelkader Nassour

Foreign direct investment (FDI) is an essential factor in the development of a country. This study aims to examine what factors influence foreign direct investment. By using the vector error correction model, the research shows that there is a long-term causality relationship between exchange rates and inflation with FDI. However, in the short term, there are no variables that affect FDI. Besides, the Granger causality test shows causality in the direction of GDP and FDI, while other variables do not have causality. This research has implications for policymakers to pay attention to macroeconomic variables in increasing the flow of foreign direct investment.


2017 ◽  
Vol 1 (1) ◽  
pp. 12
Author(s):  
Muammil Sun’an ◽  
Amran Husen

<p>This study aim is to test the money neutrality in a narrow sense (M1) and a broad sense (M2) to the growth of output (GDP) in Indonesia, both in short term and long term. This research uses quarterly time series data at 2010 - 2016 periods. The analysis tool used is Error Correction Model (ECM). The results show that short-term money supply (M1 and M2) affect on output growth. However, in the long term, only money circulation in a broad sense (M2) affects on output growth, which also means that money is not neutral because it affects the real sector (GDP).</p><p> <strong>Keywords:</strong> M1, M2, Population, Capital, and Economic Growth.</p>


Author(s):  
Wasiaturrahma Wasiaturrahma ◽  
Yuliana Tri Wahyuningtyas ◽  
Shochrul Rohmatul Ajija

The study analyses the impact of non-cash payment on demand for real money in Indonesia from 2010 to 2015. Utilizing the Error Correction Model (ECM), the results reveal that the use of both debit and credit card influence the demand for real money in the long term. Moreover, debit card also significantly affects the demand for real money in the short term, while the use of credit card does not have the implication.


2017 ◽  
Vol 9 (11) ◽  
pp. 194
Author(s):  
Rami Obeid ◽  
Bassam Awad

The global financial crisis emphasized the important role of the prudent monetary policy in supporting economic growth through maintaining price stability. The monetary policy operational framework that was designed in 2008 was updated to include more instruments for managing monetary policy learning from the crisis lessons. Several studies analyzed various dimensions related to economic growth in Jordan such as Abdul-Khaliq, Soufan, and Abu Shihab (2013) and Assaf (2014), there were no studies that investigated the effect of monetary policy on economic growth in Jordan, at least recently, however. The study aims at measuring the effect of monetary policy instruments on the performance of Jordanian economy. Using quarterly data covering the period (2005-2015), an econometric model was examined using Vector Error Correction Model to assess the impact of monetary policy instruments on economic growth. The foremost advantage of VECM is that it has a nice interpretation of long-term and short-term equations. The results showed the existence of positive long-term and short-term effects of monetary policy instruments on the growth of real GDP. The model included three monetary policy instruments besides money supply. They are required reserve ratio, rediscount rate and overnight interbank loan rates as independent variables, and the real GDP growth as a dependent variable. The stationarity of the model time series was addressed. In addition, the stability of the model was tested using stability diagnostics tools. The results showed also an existence of inverse relationship between rediscount rate and economic growth in Jordan over both long and short terms.


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