Energy Resources and Potential GNP

Rasche, Robert H.; Tatom, John A.

doi:10.20955/r.59.10-24.hvj

Cited by 106 publications

(56 citation statements)

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“…However, two key issues of total factor inputs need to be resolved: how to determine input factors and how to gather all the inputs with different attributes, which is the basis of establishing the reliable energy efficiency index system. Currently, the production function, with energy, labor and capital as factors, proposed by Rashe and Tatom (1977) [37] is accepted and applied for the assessment of energy efficiency by most scholars (Chen et al, 2015 [29]). As for China, many people in the city still work many hours for their family and themselves to survive.…”

Section: Variablesmentioning

confidence: 99%

“…Based on the literature review of the influencing factors of energy efficiency (Chen et al, 2015 [29]), and combining the development features of city, five aspects of environment variables are considered: industry structure, technology level, infrastructure, government intervention and energy endowment. Tatom (1977) [37] is accepted and applied for the assessment of energy efficiency by most scholars (Chen et al, 2015 [29]). As for China, many people in the city still work many hours for their family and themselves to survive.…”

Section: Variablesmentioning

confidence: 99%

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The Total-Factor Energy Efficiency of Regions in China: Based on Three-Stage SBM Model

Huang

Wang

2017

Sustainability

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This paper constructs a three-stage Slacks-Based Measure (SBM) model to evaluate and analyze the total-factor energy efficiency (TFEE) of 276 cities in China during the period of 2000-2012 from the management and environment dual perspectives according to the principles of multi-stage Data Envelopment Analysis (DEA) model. In the first stage, a SBM-DEA model is applied to assess TFEE scores to illustrate the effects of the energy factors, while considering the undesirable output. In the second stage, we adjust the original data, and then in the third stage, we use SBM model again to get efficiency evaluation and obtain pure management efficiency of every decision unit. The results show that Chinese TFEE is still low and energy saving potential can be up to 34-46%, showing an inverted "U" shape tendency and characteristic of regional imbalance. Based on these findings, we further put forward some paths and strategies to improve Chinese energy efficiency.

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Section: Variablesmentioning

confidence: 99%

Section: Variablesmentioning

confidence: 99%

The Total-Factor Energy Efficiency of Regions in China: Based on Three-Stage SBM Model

Huang

Wang

2017

Sustainability

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“…First, the Cobb-Douglas production function is used to determine the contribution level of electricity utilization to GDP in each province. Following the literature [107][108][109][110][111], this paper introduced energy consumption into the Cobb-Douglas production function as a production factor, and referencing the data processing approaching of Lin [105], this paper uses electricity consumption to proxy for energy consumption. Therefore, the Cobb-Douglas production function of province i, which take labor (L i ), capital (K i ) and electricity consumption (E ui ) as production factors, is:…”

Section: Methodsmentioning

confidence: 99%

Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective

et al. 2018

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Abstract:As the world faces great challenges from climate change and environmental pollution, China urgently requires energy saving, emission reduction, and carbon reduction programmes. However, the non-cooperative energy saving model (NCESM), the simple regulation mode that is China's main model for energy saving, is not beneficial for optimization of energy and resource distribution, and cannot effectively motivate energy saving at the provincial level. Therefore, we propose an interprovincial cooperative energy saving model (CESM) from the perspective of electricity utilization, with the object of maximizing the benefits from electricity utilization of the cooperation union based on achieving the energy saving goals of the union as a whole. The CESM consists of two parts: (1) an optimization model that calculates the optimal quantities of electricity consumption for each participating province to meet the joint energy saving goal; and (2) a model that distributes the economic benefits of the cooperation among the provinces in the cooperation based on the Shapley value method. We applied the CESM to the case of an interprovincial union of Shanghai, Sichuan, Shanxi, and Gansu in China. The results, based on the data from 2001-2014, show that cooperation can significantly increase the benefits of electricity utilization for each province in the union. The total benefits of the union from utilization of electricity increased 38.38%, or 353.98 billion CNY, while the benefits to Shanghai, Sichuan, Shanxi, and Gansu were 200.28, 58.37, 57.11, and 38.22 billion CNY respectively greater under the CESM than the NCESM. The implementation of the CESM provides the provincial governments not only a flexible and incentive way to achieve short-term goals, but also a feasible and effective path to realize long-term energy saving strategies. To test the impact of different parameter values on the results of the CESM, a sensitivity analysis was conducted. Some policy recommendations are made at the central government level and the provincial government level to promote the implementation of the CESM.

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“…Second, petroleum derivatives are directly used in a variety of production processes as inputs, and they are employed to provide supporting services as for instance energy and transportation. It follows that changes in their price will directly a¤ect the cost of production for a large number of goods and services (Rasche and Tatom, 1977; Kim and Loungani, 1992). In this context, additional e¤ects might be generated by changes in capacity utilization rates (Finn, 2000), or changes in business markups (Rotemberg and Woodford, 1996).…”

Section: Introductionmentioning

confidence: 99%

The role of model uncertainty and learning in the US postwar policy response to oil prices

Rondina

2012

Journal of Economic Dynamics and Control

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This paper studies optimal monetary policy in a framework that explicitly accounts for policymakers' uncertainty about the channels of transmission of oil prices into the economy. More speci…cally, I examine the robust response to the real price of oil that US monetary authorities would have been recommended to implement in the period 1970 2009; had they used the approach proposed by Cogley and Sargent (2005b) to incorporate model uncertainty and learning into policy decisions. In this context, I investigate the extent to which regulators'changing beliefs over di¤erent models of the economy play a role in the policy selection process. The main conclusion of this work is that, in the speci…c environment under analysis, one of the underlying models dominates the optimal interest rate response to oil prices. This result persists even when alternative assumptions on the models'priors change the pattern of the relative posterior probabilities, and can thus be attributed to the presence of model uncertainty itself.

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Energy Resources and Potential GNP

Cited by 106 publications

References 0 publications

The Total-Factor Energy Efficiency of Regions in China: Based on Three-Stage SBM Model

The Total-Factor Energy Efficiency of Regions in China: Based on Three-Stage SBM Model

Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective

The role of model uncertainty and learning in the US postwar policy response to oil prices

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