本文關(guān)鍵詞：非線性定價(jià)下的居民能源需求特征測(cè)度——基于條件與無(wú)條件需求的比較　出處：《產(chǎn)業(yè)經(jīng)濟(jì)研究》2017年05期 　論文類型：期刊論文

  更多相關(guān)文章： 純階梯定價(jià) 分時(shí)階梯定價(jià) 條件與無(wú)條件需求 離散-連續(xù)選擇模型 彈性結(jié)構(gòu)分解

【摘要】：隨著能源領(lǐng)域復(fù)雜非線性定價(jià)的廣泛使用,對(duì)居民能源需求特征的準(zhǔn)確測(cè)度,是政府規(guī)制者和學(xué)術(shù)界評(píng)估與實(shí)施能源發(fā)展戰(zhàn)略的基礎(chǔ)問(wèn)題。以居民用電的分時(shí)階梯定價(jià)為例,首先從理論上刻畫(huà)了非線性定價(jià)下的條件需求與無(wú)條件需求;然后利用2009—2011年杭州和上海的電網(wǎng)公司行政數(shù)據(jù),分別估計(jì)了條件需求與無(wú)條件需求收入與價(jià)格特征,并通過(guò)分解需求彈性探索了階梯定價(jià)結(jié)構(gòu)與需求特征間的關(guān)系。結(jié)果顯示:不同階梯下的條件價(jià)格彈性差異明顯,在峰和谷時(shí)段分別為-0.24~-3.93和-0.06~-1.19;利用參數(shù)與非參數(shù)估計(jì)得出的分時(shí)階梯電價(jià)下的無(wú)條件需求的價(jià)格彈性分別為-1.051與-1.032,均大于純分時(shí)電價(jià)下的需求彈性-0.688。理論與實(shí)證分析表明,定價(jià)結(jié)構(gòu)顯著影響需求特征,階梯定價(jià)相對(duì)于線性定價(jià)將提高居民的能源價(jià)格彈性;而對(duì)條件彈性與無(wú)條件彈性的分解顯示,非線性定價(jià)的價(jià)格彈性受到尖點(diǎn)黏貼效應(yīng)與階梯虛擬收入效應(yīng)的聯(lián)合影響。研究為我國(guó)正在實(shí)施的能源價(jià)格改革提供了參考。
[Abstract]:With the wide use of complex nonlinear pricing in energy field, the characteristics of energy demand of residents are accurately measured. It is the basic problem for government regulators and academic circles to evaluate and implement the energy development strategy. Taking the time-sharing ladder pricing of residential electricity as an example, the conditional and unconditional demand under nonlinear pricing is described theoretically. Then we estimate the income and price characteristics of conditional demand and unconditional demand by using the administrative data of Hangzhou and Shanghai grid companies from 2009-2011. The relationship between ladder pricing structure and demand characteristics is explored by decomposing demand elasticity. The results show that there are obvious differences in conditional price elasticity under different staircases. The peak and valley were -0.24 ~ 3.93 and -0.06 ~ 1.19, respectively. The price elasticity of unconditional demand estimated by parametric and non-parametric estimates is -1.051 and -1.032, respectively. The theoretical and empirical analysis shows that the pricing structure significantly affects the demand characteristics, and the ladder pricing will improve the energy price elasticity of residents compared with linear pricing. The decomposition of conditional elasticity and unconditional elasticity shows. The price elasticity of nonlinear pricing is influenced by the combination of cusp adhesion effect and step virtual income effect. The research provides a reference for the energy price reform being implemented in China.
【作者單位】： 西南大學(xué)經(jīng)濟(jì)管理學(xué)院;北京交通大學(xué)經(jīng)濟(jì)管理學(xué)院;
【基金】：國(guó)家自然科學(xué)基金青年項(xiàng)目(71603218) 教育部人文社科青年項(xiàng)目(13YJC790101) 西南大學(xué)中央高校重大培育項(xiàng)目(SWU1609112)
【分類號(hào)】：F426.61
【正文快照】： 一、引言隨著全球資源與環(huán)境約束的日益嚴(yán)重及收入分配狀況的不斷惡化,從20世紀(jì)70年代開(kāi)始,很多西方國(guó)家就資源和能源的使用出臺(tái)了旨在促進(jìn)節(jié)能環(huán)保和改善收入分配的價(jià)格改革,居民能源市場(chǎng)大量引入非線性的定價(jià)方式[1]。其中,遞增階梯定價(jià)(Increasing block pricing,IBP)是一，

本文編號(hào)：1431227