本文選題：科技型林業(yè) + 生產(chǎn)效率��； 參考：《江西財(cái)經(jīng)大學(xué)》2015年碩士論文

【摘要】：林業(yè)是集社會(huì)效益、生態(tài)效益和經(jīng)濟(jì)效益為一體的特殊產(chǎn)業(yè),更是為人們的生存空間提供生態(tài)安全保障,因而其發(fā)展也一直受到國(guó)家及全社會(huì)的關(guān)注。林業(yè)除提供木材等基礎(chǔ)原材料外,更為重要的功能是吸碳吐氧,為社會(huì)提供生態(tài)需求,特別是新時(shí)期倡導(dǎo)的生態(tài)文明建設(shè),更離不開(kāi)林業(yè)的穩(wěn)健發(fā)展�，F(xiàn)代林業(yè)是科技型林業(yè),要實(shí)現(xiàn)林業(yè)的穩(wěn)健發(fā)展,就必須利用先進(jìn)的林業(yè)科技推動(dòng)林業(yè)的快速發(fā)展。而如今林業(yè)科技供給與林業(yè)發(fā)展需求不均衡,林業(yè)生產(chǎn)效率不高等原因,在一定程度上影響林業(yè)的發(fā)展。因此,論文對(duì)近些年林業(yè)的生產(chǎn)效率進(jìn)行了時(shí)空差異分析,以及探究了林業(yè)科技進(jìn)步對(duì)林業(yè)經(jīng)濟(jì)的貢獻(xiàn)率,并為此提出一些可行性建議。在探究林業(yè)生產(chǎn)效率的過(guò)程中,文章采用2002-2011年全國(guó)31個(gè)省(市、自治區(qū))的面板數(shù)據(jù),運(yùn)用數(shù)據(jù)包絡(luò)分析(DEA)模型的Malmquist指數(shù)法,對(duì)我國(guó)這九年間的林業(yè)生產(chǎn)效率進(jìn)行了時(shí)空分析,以此來(lái)探究林業(yè)科技進(jìn)步給林業(yè)生產(chǎn)效率帶來(lái)的變化。結(jié)果顯示:從時(shí)間上來(lái)看,2003-2011年,全國(guó)林業(yè)各生產(chǎn)率指數(shù)都發(fā)生了變化,全要素生產(chǎn)率增長(zhǎng)較快的是2004年和2005年,技術(shù)效率增長(zhǎng)較快的2005年和2009年,規(guī)模效率增長(zhǎng)較快的2004年和2009年,技術(shù)進(jìn)步增長(zhǎng)較快的是2004年和2008年;林業(yè)全要素生產(chǎn)率、林業(yè)技術(shù)效率、林業(yè)規(guī)模效率以及林業(yè)技術(shù)進(jìn)步率平均增長(zhǎng)率分別為-15.1%、-9.7%、-10.2%和-6%,表明期間各林業(yè)生產(chǎn)效率整體未能達(dá)到最優(yōu),并且相差程度依次為全要素生產(chǎn)率林業(yè)規(guī)模效率林業(yè)技術(shù)效率林業(yè)技術(shù)創(chuàng)新;從空間上來(lái)看,2003-2011年,不同地區(qū)在這九年間的各生產(chǎn)效率值也發(fā)生了不同程度的變化。從分省份的情況來(lái)看,林業(yè)各生產(chǎn)效率指標(biāo)較好的省份有:安徽、福建、江西、青海、寧夏及新疆;綜合效率增長(zhǎng)較快的是新疆、福建和安徽,技術(shù)效率增長(zhǎng)較快的是新疆、山東、福建,規(guī)模效率增長(zhǎng)較快的是山東、安徽和新疆,技術(shù)進(jìn)步較快的是甘肅、浙江和福建。從分區(qū)來(lái)看,林業(yè)各生產(chǎn)率指標(biāo)變化呈現(xiàn)增長(zhǎng)趨勢(shì)的只有西北地區(qū);林業(yè)綜合生產(chǎn)效率退化較快的是東北地區(qū)和華北地區(qū),有小幅下滑的是華東地區(qū)、中南地區(qū)和西南地區(qū);林業(yè)技術(shù)效率和規(guī)模效率下降較大的是東北和華北地區(qū),華東地區(qū)、中南地區(qū)和西南地區(qū)也有小幅下滑;林業(yè)技術(shù)進(jìn)步的區(qū)域有華東地區(qū)和西北地區(qū),增幅只有2.8%和3.5%,華北和東北地區(qū)林業(yè)技術(shù)退化較大,中南和西南地區(qū)有小幅度退化。在測(cè)算林業(yè)科技進(jìn)步對(duì)林業(yè)經(jīng)濟(jì)增長(zhǎng)的貢獻(xiàn)率時(shí),文章基于索洛余值法,在擴(kuò)展的C-D生產(chǎn)函數(shù)中引入林業(yè)人力資本累積和林業(yè)產(chǎn)業(yè)結(jié)構(gòu)變動(dòng)等因素,從廣義的林業(yè)科技進(jìn)步貢獻(xiàn)率中進(jìn)一步分離出林業(yè)產(chǎn)業(yè)結(jié)構(gòu)變動(dòng)效應(yīng)、林業(yè)人力資本累積效應(yīng)因素的影響,探究中國(guó)林業(yè)科技進(jìn)步對(duì)林業(yè)經(jīng)濟(jì)增長(zhǎng)的影響規(guī)律。結(jié)果表明:林業(yè)人力資本累積效應(yīng)對(duì)貢獻(xiàn)率保持在9%左右;林業(yè)產(chǎn)業(yè)結(jié)構(gòu)變動(dòng)效應(yīng)貢獻(xiàn)率波動(dòng)性較為平穩(wěn),貢獻(xiàn)率也偏小,近些年林業(yè)產(chǎn)業(yè)結(jié)構(gòu)的轉(zhuǎn)變并沒(méi)有對(duì)中國(guó)林業(yè)經(jīng)濟(jì)增長(zhǎng)產(chǎn)生顯著作用;林業(yè)固定資產(chǎn)投資平均貢獻(xiàn)率為61.47%,表明中國(guó)林業(yè)經(jīng)濟(jì)增長(zhǎng)模式在很大程度上還是依賴林業(yè)固定資產(chǎn)投資;狹義林業(yè)科技進(jìn)步平均貢獻(xiàn)率為15.34%,其對(duì)中國(guó)林業(yè)經(jīng)濟(jì)增長(zhǎng)的貢獻(xiàn)率依然偏低,對(duì)林業(yè)經(jīng)濟(jì)增長(zhǎng)作用偏弱的態(tài)勢(shì)沒(méi)有發(fā)生顯著變化,并且其貢獻(xiàn)率的穩(wěn)定性十分脆弱。文章最后,為促進(jìn)科技型林業(yè)的發(fā)展提出了相關(guān)的政策及建議,實(shí)現(xiàn)林業(yè)經(jīng)濟(jì)更快更好地發(fā)展。
[Abstract]:Forestry is a special industry which integrates social benefits, ecological benefits and economic benefits. It also provides ecological security for the living space of people. Therefore, the development of forestry has always been paid attention to by the state and the whole society. In addition to providing basic raw materials such as wood, the more important function is to absorb carbon and oxygen to provide ecological needs for the society. In particular, the construction of ecological civilization advocated in the new period can not be separated from the steady development of forestry. Modern forestry is a scientific and technological forestry. To achieve the steady development of forestry, the rapid development of forestry must be promoted by advanced forestry technology. To a certain extent, the development of forestry is affected to a certain extent. Therefore, this paper analyzes the spatial and temporal differences in the production efficiency of forestry in recent years, and probes into the contribution rate of forestry scientific and technological progress to the forestry economy, and puts forward some feasible suggestions. In the process of exploring the efficiency of forestry production, the article adopts 31 provinces in 2002-2011 years (city, self). The panel data of the governing area, using the Malmquist index method of the data envelopment analysis (DEA) model, carried out a spatio-temporal analysis of the forestry production efficiency of China during the nine years to explore the changes in forestry production efficiency. The results show that, from the time point of view, the national forestry productivity indices have occurred in 2003-2011 years. In 2004 and 2005, the growth of total factor productivity increased rapidly in 2005 and 2009. In 2004 and 2009, the scale efficiency increased rapidly in 2004 and 2009. The rapid growth of technological progress was in 2004 and 2009; the total factor productivity of forestry, the efficiency of forestry technology, the efficiency of forestry scale and the average rate of forestry technological progress were average. The growth rate is -15.1%, -9.7%, -10.2% and -6% respectively, indicating that the overall efficiency of forestry production failed to achieve the best in the period, and the difference degree is in turn the forestry technology efficiency forestry technology innovation of full factor productivity forestry scale efficiency. In 2003-2011 years, the production efficiency values of different regions in these nine years have also occurred. In the case of the provinces, Anhui, Fujian, Jiangxi, Qinghai, Ningxia, Xinjiang and Xinjiang, Fujian and Anhui are the provinces with better productive efficiency indicators. The rapid growth of the efficiency is Xinjiang, Shandong and Fujian. The rapid progress is Gansu, Zhejiang and Fujian. From the point of view, the growth trend of the productivity index of forestry is only in the northwest region; the fast degradation of forestry comprehensive production efficiency is in the northeast and North China, with a small decline in East China, middle and South and southwest, and the efficiency of forestry technology and the efficiency of scale. In the northeast and North China areas, the eastern and South China areas and the south-west region also have a small decline. The area of forestry technology progress is East China and northwest, the growth rate is only 2.8% and 3.5%, the forestry technology degradation in North and Northeast China is great, and the middle and South and southwest regions have small degeneration. The contribution rate of industry economic growth is based on the residual value method of Solow, introducing the accumulation of forestry human capital and the change of forestry industrial structure in the extended C-D production function, and further separating the change effect of forestry industrial structure from the contribution rate of forestry scientific and technological progress, the influence of the accumulation effect factors of forestry human capital and exploring the influence of the accumulation effect factors of forestry human capital. The effect of forestry scientific and technological progress on forestry economic growth shows that the contribution rate of the accumulation effect of forestry human capital remains about 9%, the volatility of the contribution rate of the forestry industrial structure changes is relatively stable and the contribution rate is small. In recent years, the transformation of forestry industrial structure has not produced a significant effect on the growth of China's forestry economy. The average contribution rate of the investment in forestry fixed assets is 61.47%, which indicates that China's forestry economic growth model is largely dependent on the investment in forestry fixed assets; the average contribution rate of the narrow sense forestry scientific and technological progress is 15.34%, its contribution to China's forestry economic growth is still low and the role of forestry economic growth is weak Change, stability and its contribution rate is very fragile. Finally, the relevant policy and suggestions for promoting the development of science and technology of forestry, forestry economy to develop faster and better.
【學(xué)位授予單位】：江西財(cái)經(jīng)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：F326.2

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