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China is vast, abundant and particularly plentiful in energy sources, due to which it has obtained remarkable achievements on economy. However, its energy structure is too simple to support the sustainable development of economy as coal still contributes to the majority of energy consumption in China. As a consequence, Renewable Energy Law was enacted in 2005, and Chinese government announced a series of policies to boom renewable energy industry. Subsidy policy is one of the major forms of these policies. This paper aims to present these subsidy policies and to analyze their effects according to relative data in energy industry 2005–2013, to find out the deficiencies and enlighten possible policy improvements. The original intentions and abstracts of 5 different levels of subsidy related policies are summarized, and the effects in reality are attentively analyzed. It can be concluded that subsidy policies have different short-term effect on different renewable energies, and they all show some negative effect to a certain extent. 6 core problems are summarized in this paper, and remedy strategies are suggested. [ABSTRACT FROM AUTHOR]

The main goal of this paper is to argue for the necessity and significance of studying the distributional employment impacts of renewable and new energy development (RNE). Based on the comprehensive review of the methodology and conclusions of existing literatures, this paper builds up an extended input–output model to study RNE’s distributional employment impacts on gender and personnel structure. The case study of China׳s power sector in this paper affirmed earlier doubts that RNE development will indeed aggravate the gender inequality problem and add to the level of mismatch between the structure of labor demand and supply, causing structural unemployment problems. The quantitative analysis in this paper outlined here implies that from 2011 to 2020 the development of RNE will bring about 7 million employment gains, but only 81.8% of which can be realized due to the mismatch problem. The study of China may alert other countries to be less-optimistic about RNE’s employment impacts and reaffirm the need to carry out the distributional employment impacts analysis. This paper concludes with policy suggestions such as providing suitable training and equal promotion opportunities for women, offering courses and vocational trainings to RNE-related majors, in order to reduce the structural unemployment problem and further speed up the development of RNE. [ABSTRACT FROM AUTHOR]

This study evaluates the economic impact of achieving China's Intended Nationally Determined Contributions (INDCs) through emissions trading scheme (ETS) and renewable energy policy, using a Computable General Equilibrium (CGE) model. We explored the behavior of different sectors in the carbon market, carbon trade amount, carbon price and the economic impact of an emissions cap and trade on the employment and GDP. The results demonstrate that the electricity and aviation sectors have relatively higher mitigation costs and tend to be the main buyers of the carbon credits, whereas chemicals, nonmetal production, iron and steel, paper and other manufacturing sectors have relatively lower mitigation costs and tend to be the main sellers. Carbon trading price and market scale are closely related to various factors such as the emissions quota allocation scheme among sectors, coverage of participating sectors and the level of renewable energy development. Emission trading is also confirmed to be an economically efficient approach that contributes to the achievement of emission reduction targets with less economic cost. In order to make full use of this approach, policy maker should assign an appropriate emissions quota allocation scheme, extend coverage of various sectors and promote the expansion of low-carbon technologies such as renewable energy. [ABSTRACT FROM AUTHOR]

Renewable energy is believed to be the central issue in sustainable development. Literatures on renewables׳ costs are rather sparse, especially on costs of integration and system balancing. The objective of this paper is to fill the research gap by providing an assessment for the cost of China׳s grid-connected renewable energy development and analyze its sharing between different stakeholders. Due to China׳s pricing mechanism of renewable energy and their cost decreasing potential, the pricing model of feed-in tariff and dynamic technological learning processes are employed. In the estimation of purchasing cost, the positive bias is overcome by considering China׳s energy-saving dispatching policy. The results suggest that purchasing cost would be 32.57–40.80 billion Yuan over 2012–2020, and peak in 2017. Grid integration costs which further involve costs of grid infrastructure and system balancing are also investigated. We find that grid infrastructure will cost 27.88 billion Yuan by 2015 and soar to 45.32 billion by 2020, while system balancing will cost 31.49 billion Yuan in 2015 and 63.97 billion Yuan in 2020 among which a substantial part (over 60%) comes from electricity loss in energy transfer. The different parts of these costs are underwritten by disparate participants due to China׳s renewable energy policies and its institutional arrangement. Purchasing cost is shared by power consumers through RES; the cost of grid infrastructure is mainly covered by grid enterprises; and there is no mechanism to specify how to share the cost electricity loss during system balancing which might become a major obstacle for system balancing. [ABSTRACT FROM AUTHOR]