本文關(guān)鍵詞： 碳排放 空間關(guān)聯(lián) 社會(huì)網(wǎng)絡(luò)分析 QAP　出處：《軟科學(xué)》2017年04期 　論文類(lèi)型：期刊論文

【摘要】：利用社會(huì)網(wǎng)絡(luò)分析方法(SNA)全新解構(gòu)了碳排放的空間關(guān)聯(lián)特征,并基于QAP技術(shù)揭示了碳排放空間關(guān)聯(lián)的主要影響因素。研究發(fā)現(xiàn):碳排放呈現(xiàn)出復(fù)雜的多線程空間網(wǎng)絡(luò)關(guān)聯(lián)關(guān)系。上海、天津、江蘇、浙江、廣東和福建等東部發(fā)達(dá)地區(qū)的省份處于網(wǎng)絡(luò)的中心地位,接收了較多的關(guān)聯(lián)關(guān)系,甘肅、青海、新疆和貴州等西部欠發(fā)達(dá)地區(qū)省份發(fā)送了較多的關(guān)聯(lián)關(guān)系,其他省份則主要起到了"傳輸"和"橋梁"的作用。碳排放可以劃分為"雙向溢出""凈受益""凈溢出"以及"經(jīng)紀(jì)人"四個(gè)功能板塊。地理因素、地區(qū)間經(jīng)濟(jì)發(fā)展差異以及環(huán)境規(guī)制差異對(duì)碳排放空間關(guān)聯(lián)具有顯著正向影響。
[Abstract]:A new method of social network analysis is used to deconstruct the spatial correlation characteristics of carbon emissions. Based on QAP technology, the main influencing factors of spatial correlation of carbon emissions are revealed. Provinces in the eastern developed regions such as Guangdong and Fujian are at the center of the network and have received more connections, while provinces in the less developed western regions such as Gansu, Qinghai, Xinjiang and Guizhou have sent more connections. Other provinces play a major role as "transport" and "bridge". Carbon emissions can be divided into four functional blocks: "two-way spillover", "net benefit" and "net spillover" and "broker". Regional differences in economic development and environmental regulation have significant positive effects on spatial correlation of carbon emissions.
【作者單位】： 重慶大學(xué)公共管理學(xué)院;重慶師范大學(xué)經(jīng)濟(jì)與管理學(xué)院;
【基金】：重慶市教委項(xiàng)目(16SKDJ015、153289) 重慶市研究生科研創(chuàng)新項(xiàng)目(CYB15001)
【分類(lèi)號(hào)】：X321
，

本文編號(hào)：1544849