Published September 15, 2017 | Version v1
Journal article

Estimates of energy demand and energy saving potential in China's agricultural sector

  • 1. School of Economics, Wuhan University of Technology, Wuhan, Hubei, 430070 (China)
  • 2. Collaborative Innovation Center for Energy Economics and Energy Policy, China Institute for Studies in Energy Policy, School of Management, Xiamen University, Fujian, 361005 (China)

Description

This paper analyzed the energy saving potentials of China's agricultural sector by using an econometric approach and a scenario analysis. First a co-integration analysis and an error correction model are employed to analyze the long-term equilibrium relationship between agricultural energy consumption and its influencing factors such as agricultural output, mechanical power, agricultural industrial structure, fiscal expenditure and energy prices during the period 1980–2012. Then stability test, fitting effect test and Monte Carlo simulation method are applied to confirm the rationality of the prediction model. Further, the scenario analysis method is used to predict the energy-saving potentials in 2020 and 2025 under different scenarios. It is found that agricultural output and mechanical power have positive impacts on energy consumption, while agricultural industrial structure, fiscal expenditure and energy prices have negative influences. The results demonstrate that under BAU condition, the energy demand of China's agricultural sector will reach 128, 94 and 161,61million tons of standard coal by 2020 and 2025 respectively. Moreover, the energy savings potential will be 7, 967 million tons and 15,701 million tons under moderate and advanced scenarios by the year 2020, and 17, 225 million tons and 31,094 million tons by the year 2025. This study provides a reference for establishing energy saving policies for China's agricultural sector. - Highlights: • The relationship was analyzed between energy consumption and its affect factors. • Energy demand of China's agricultural sector is explored in the paper. • Energy-saving potentiality in 2020 and in 2025 are predicted, respectively.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2017.06.173

Additional details

Identifiers

DOI
10.1016/j.energy.2017.06.173;
PII
S0360-5442(17)31168-4;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
135
Journal Page Range
p. 865-875
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49063322
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY; S01: COAL, LIGNITE, AND PEAT;
Descriptors DEI
AGRICULTURE; CHINA; COMPUTERIZED SIMULATION; ENERGY CONSUMPTION; ENERGY DEMAND; ENERGY POLICY; MONTE CARLO METHOD; PRICES
Descriptors DEC
ASIA; CALCULATION METHODS; DEMAND; GOVERNMENT POLICIES; SIMULATION

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.