Energy Substitution Effect on China’s Heavy Industry: Perspectives of a Translog Production Function and Ridge Regression

Lin, Boqiang; Kui, Liu

doi:10.3390/su9111892

Cited by 18 publications

(9 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Usually, the production inputs playing the role of independent variables in the production function are capital, labor, and intermediate [6,7]. Each input contributes to the production of a good or a service and the creation of value-added.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Economic Benefits of Industrial Natural Gas Use in South Korea

2018

View full text Add to dashboard Cite

Natural gas (NG) is an important input used in the industrial production of South Korea. Therefore, the government requires quantitative information to be provided about the economic benefits of industrial NG (ING) use to decide whether to invest in expanding the supply of ING or not. This manuscript tries to measure the economic benefits of NG use in the manufacturing industry by using a specific case in South Korea. For this purpose, a trans-log production function is estimated using the data collected from a national survey of 1100 firms in South Korea. Of them, 299 firms used ING. For a representative manufacturing firm, the point estimated for the economic benefits of ING use is obtained as KRW 2409 (USD 2.07) per m 3 , which is statistically meaningful. The average price of ING, which is defined as the total expenditure on ING purchased in 2016 and divided by the total amount of ING purchased in 2016, was KRW 667 (USD 0.57) per m 3. Therefore, the economic benefits of ING use are 3.61 times as great as the average price of ING. This implies that ING produces more value than its price in South Korea.

show abstract

Section: Introductionmentioning

confidence: 99%

Measuring the Economic Benefits of Industrial Natural Gas Use in South Korea

2018

View full text Add to dashboard Cite

show abstract

“…To tackle the challenge of high multicollinearity, a Ridge Regression is conducted [29,30]. Recent applications of Ridge Regression within the field of energy economics include [31,32]. This regularized regression technique, also referred to as Tikhonov regularization, adds bias to the regression model, purposing a better generalization, i.e., a better out-of-sample performance of the model.…”

Section: Methodological Approachmentioning

confidence: 99%

Parsing the Effects of Wind and Solar Generation on the German Electricity Trade Surplus

et al. 2019

View full text Add to dashboard Cite

Germany has experienced rapid growth in its renewable electricity generation capacity in the past fifteen years. This development has been accompanied by a drop in wholesale electricity prices and significant net export surpluses. This situation has given rise to discussions in policy circles concerning the drivers behind these dynamics. The paper at hand empirically analyzes historical cross-border commercial flows (CBCF) of electricity from Germany by applying a Ridge Regression model to parse the effects of the growing shares of renewable energy capacity on the commercial electricity exchange between 2012 and 2016. In case of PV, the fraction of PV generation (marginal effect of PV on export) that is exported correlates positively with the level of PV generation. However, the marginal effect of wind on export is negatively correlated with the level of wind generation. A possible explanation for this finding as it relates to wind feed-in could involve the high degree to which the grid is constrained at times of high wind penetration.

show abstract

“…Small positive values of k reduce the variance of the estimates. While biased, the reduced variance of the ridge estimates usually results in a smaller mean‐square error when compared to least‐squares estimates …”

Section: Methodsmentioning

confidence: 99%

The relationship between alkylamide compound content and pungency intensity of Zanthoxylum bungeanum based on sensory evaluation and ultra‐performance liquid chromatography‐mass spectrometry/ mass spectrometry (UPLC‐MS/MS) analysis

et al. 2018

View full text Add to dashboard Cite

Hydroxy- sanshool compounds were important in determinant the pungency intensity of Z. bungeanum. Knowledge of the relationship between alkymide compound content and pungency intensity will assist in the creation of new methods to determine pungency intensity and provide a scientific basis for flavor design, development of pungent food products, and consumer choice evaluations. © 2018 Society of Chemical Industry.

show abstract

Energy Substitution Effect on China’s Heavy Industry: Perspectives of a Translog Production Function and Ridge Regression

Cited by 18 publications

References 26 publications

Measuring the Economic Benefits of Industrial Natural Gas Use in South Korea

Measuring the Economic Benefits of Industrial Natural Gas Use in South Korea

Parsing the Effects of Wind and Solar Generation on the German Electricity Trade Surplus

The relationship between alkylamide compound content and pungency intensity of Zanthoxylum bungeanum based on sensory evaluation and ultra‐performance liquid chromatography‐mass spectrometry/ mass spectrometry (UPLC‐MS/MS) analysis

Contact Info

Product

Resources

About