The impact of factor price changes and technological progress on the energy intensity of China's industries: Kalman filter-based econometric method

2019 ◽  
Vol 49 ◽  
pp. 340-353 ◽  
Author(s):  
Maoqing Fan ◽  
Haitao Zheng
Keyword(s):  
Kalman Filter ◽  
Technological Progress ◽  
Energy Intensity ◽  
Factor Price ◽  
Price Changes ◽  
The Impact

The Role of Research and Innovation in the Transformation of Agri-Food Systems

2018 ◽  
Vol 12 (2) ◽  
pp. 60-63
Author(s):  
Mariana Sandu ◽  
Stefan Mantea
Keyword(s):  
Technological Progress ◽  
Food Systems ◽  
Food System ◽  
Agricultural Research ◽  
Research And Innovation ◽  
And Performance ◽  
The Impact ◽  
Determinant Factor ◽  
Rapid Transformation

Abstract Agri-food systems include branching ramifications, which connect in the upstream the input suppliers with farmers, and downstream farmers, processors, retailers and consumers. In the last decades, at the level of the regions, food systems have undergone rapid transformation as a result of technological progress. The paper analyzes the changes made to the structure, behavior and performance of the agri-food system and the impact on farmers and consumers. Also, the role of agricultural research as a determinant factor of transformation of agri-food system is analyzed. The research objective is to develop technologies that cover the entire food chain (from farm to fork) and meet the specific requirements of consumers (from fork to farm) through scientific solutions in line with the principles of sustainable agriculture and ensuring the safety and food safety of the population.

The Impact of Oil Price Fluctuations on Industry Stock Returns: Evidence from International Markets

2018 ◽  
Vol 5 (1) ◽  
pp. 1-12
Author(s):  
Elias Randjbaran ◽  
Reza Tahmoorespour ◽  
Marjan Rezvani ◽  
Meysam Safari
Keyword(s):  
Stock Returns ◽  
Oil And Gas ◽  
Negative Relationship ◽  
The United States ◽  
Oil Price ◽  
Price Variation ◽  
Price Changes ◽  
Price Fluctuations ◽  
Food And Beverage ◽  
The Impact

This study investigates the impact of oil price variation on 14 industries in six markets, including Canada, China, France, India, the United Kingdom, and the United States. Panel weekly data were collected from June 1998 to December 2011. The results indicate that price fluctuations primarily affect the Oil and Gas as well as the Mining industries and have the least influence on the Food and Beverage industry. Furthermore, in three out of six of these countries (Canada, France, and the U.K.), oil price changes negatively affect the Pharmaceutical and Biotechnology industry. One possible reason for the negative relationship between oil price changes and the Pharmaceutical and Biotechnology industries in the above-mentioned countries is that the governments of these countries fund their healthcare systems. Portfolio managers and investors will find the results of this study useful because it enables adjusting portfolios based on knowledge of the industries that are impacted the most or the least by oil price fluctuations.

DAMPAK VOLATILITAS HARGA MINYAK DI INDONESIA TERHADAP PENYESUAIAN KESEIMBANGAN FISKAL

2015 ◽  
Vol 15 (2) ◽  
pp. 37-52
Author(s):  
Mahpud Sujai
Keyword(s):  
Linear Trend ◽  
The State ◽  
Oil Price ◽  
Output Gap ◽  
State Budget ◽  
Price Changes ◽  
Potential Output ◽  
Budget Cycle ◽  
Actual Output ◽  
The Impact

This paper is intended to analyze the effect of oil price changes on potential output and actual output in the state budget cycle and identifies the output gap which is the difference between potential output and actual output. The research methodology uses a quantitative approach to analyze problems that occur related to the impact of oil price changes to the state budget cycle. Data analysis was carried out through the approach cyclically adjusted fiscal balance with a simplified approach. This research identified that the potential output is likely to continue increasing in line with Indonesia's oil price trends which is continue to rise following the world oil price movements. In calculating the output gap using a linear trend and HP filter, the result is fuctuating depend on the percentage changes in both potential output and actual output. This paper concludes that Indonesian oil price (ICP) has a significant impact on changes in the state budget cycle. If oil prices rise, the output gap between potential output and actual output is greater, and vice versa. This will make the budget vulnerable to shock that occurs as an external infuence.

The Effects of Oil Prices Changes on Output Growth and Inflation: Evidence from Turkey

2013 ◽  
Vol 5 (11) ◽  
pp. 730-739 ◽  
Author(s):  
Pelin ÖGE GÜNEY
Keyword(s):  
Time Series Data ◽  
Output Growth ◽  
Oil Price ◽  
Series Data ◽  
Negative Effects ◽  
Price Changes ◽  
Asymmetric Effects ◽  
Price Increases ◽  
Causality Tests ◽  
The Impact

This paper investigates the effects of oil price changes on output and inflation for the case of Turkey using monthly time series data for the period 1990:1–2012:3. Recent studies suggest that oil price changes may have asymmetric effects on the macroeconomic variables. To account for asymmetric effects, we decompose oil price changes into positive and negative parts following Hamilton (1996). Our results show that while oil price increases have clear negative effects on output growth, the impact of oil price decline is insignificant. Similarly, oil price increases have positive and significant effects on inflation. However, oil price declines have not a significant effect on inflation. The Granger causality tests also support these results.

scholarly journals Effects of Technological Progress from Different Sources on Haze Pollution in China

2021 ◽  
Vol 13 (5) ◽  
pp. 2730
Author(s):  
Yuan Zhao ◽  
Tian Zhang ◽  
Ting Wu ◽  
Shujing Xu ◽  
Shuwang Yang
Keyword(s):  
Technological Progress ◽  
Generalized Method Of Moments ◽  
National Level ◽  
Inhibitory Effect ◽  
Dynamic Panel Model ◽  
Independent Innovation ◽  
Haze Pollution ◽  
Technology Introduction ◽  
The Impact ◽  
Different Sources

Technological progress has always been regarded as an important factor affecting haze pollution. A large number of academic studies have focused on the effect of technological progress on haze pollution, but there are few discussions on the effects of technological progress from different sources. In view of this, a dynamic panel model is constructed, and a systematic generalized method of moments (GMM) method is applied to empirically test the overall impact of technological progress from different sources on haze pollution and the regional heterogeneity of the impact. The results show that the overall and regional impact of technological progress from different sources on haze pollution is entirely different. Among them, for the whole country, independent innovation has a significant inhibitory effect on haze pollution, and technology introduction has aggravated haze pollution to a certain extent. At the regional level, all types of technological progress in the east can effectively reduce haze, the central region having haze reduction results consistent with the overall national level, and in the west, independent innovation and direct introduction can effectively reduce haze, while reverse technology spillover is ineffective. Therefore, policy recommendations such as improving the ability of independent innovation, improving the quality of technology introduction, and coordinating regional technology against haze are put forward.

Three-Dimensional Decomposition Models for Chinese Manufacturing Subsector over 1996-2008

2013 ◽  
Vol 291-294 ◽  
pp. 3004-3013
Author(s):  
Ding Ma ◽  
Li Ning Wang ◽  
Wen Ying Chen
Keyword(s):  
Energy Intensity ◽  
Three Dimensional ◽  
Ghg Emissions ◽  
Carbon Intensity ◽  
Emissions Reduction ◽  
Country Level ◽  
Rapid Economic Growth ◽  
Decomposition Models ◽  
Energy And Climate Policy ◽  
The Impact

At a time of increased international concern and negotiation for GHG emissions reduction, country studies on the underlying effects of GHG growth gain importance. China experienced continuous, rapid economic growth over the past. At the same time, energy consumption and CO2 emissions increased rapidly while the energy intensity and carbon intensity showed a downward trend at country level. What factors were driving this change? What measures can be adopted to ensure the continual decrease of energy intensity and carbon intensity? The refined IDA method is employed in this paper to identify the impact of each factor. A year-by-year decomposition is carried out at sector level, and various interesting results on the underlying effects are found. The results yield important hints for the planning of energy and climate policy.

scholarly journals A Modified Extended Kalman Filter for a Two-Antenna GPS/INS Vehicular Navigation System

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3809 ◽  
Author(s):  
Yushi Hao ◽  
Aigong Xu ◽  
Xin Sui ◽  
Yulei Wang
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Navigation System ◽  
Adaptive Estimation ◽  
Estimation Method ◽  
Measurement Noise ◽  
Model Errors ◽  
State Process ◽  
Stability And Accuracy ◽  
The Impact

Recently, the integration of an inertial navigation system (INS) and the Global Positioning System (GPS) with a two-antenna GPS receiver has been suggested to improve the stability and accuracy in harsh environments. As is well known, the statistics of state process noise and measurement noise are critical factors to avoid numerical problems and obtain stable and accurate estimates. In this paper, a modified extended Kalman filter (EKF) is proposed by properly adapting the statistics of state process and observation noises through the innovation-based adaptive estimation (IAE) method. The impact of innovation perturbation produced by measurement outliers is found to account for positive feedback and numerical issues. Measurement noise covariance is updated based on a remodification algorithm according to measurement reliability specifications. An experimental field test was performed to demonstrate the robustness of the proposed state estimation method against dynamic model errors and measurement outliers.

scholarly journals Structural Change and Its Impact on the Energy Intensity of Agricultural Sector in China

2018 ◽  
Vol 10 (12) ◽  
pp. 4591 ◽  
Author(s):  
Hongyun Han ◽  
Shu Wu
Keyword(s):  
Agricultural Production ◽  
Energy Intensity ◽  
Agricultural Sector ◽  
Scale Economy ◽  
Policy Implications ◽  
Vegetable Production ◽  
Regional Heterogeneity ◽  
Fuel Price ◽  
Agricultural Structure ◽  
The Impact

China’s agricultural structure has undergone significant changes for the past four decades, mainly presenting as the fall of sown proportion of grain crops and the rise of vegetables, as has its energy consumption. Employing the panel data on 30 provinces during 1991–2016, this paper empirically explores the impact of agricultural structure changes (ASC) on the energy intensity of agricultural production (EIAP), direct energy intensity of agricultural production (DEIAP) and indirect energy intensity of agricultural production (IEIAP) in China. Besides, the regional heterogeneity of such impact is examined. The results show that: (1) ASC increases EIAP and IEIAP significantly, while ASC decreases DEIAP, which is explained by the structural effect and different planting modes of different crops; (2) the impact in the three administrative regions is similar to national situation, except the impact of ASC on DEIAP in the West Region, which is explained by regional differences of vegetable mechanization; (3) the result of the six vegetable production regions reveals greater regional heterogeneity, and this is attributed to the scale economy effect and the incremental effect of vegetable mechanization; and (4) fuel price, income, agricultural labor, old dependency ratio, and fiscal expenditure have different but significant impacts on EIAP, DEIAP, and IEIAP. Finally, some policy implications are given.

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