本文關(guān)鍵詞：黃淮海典型地區(qū)村域轉(zhuǎn)型發(fā)展的特征與機(jī)理，由筆耕文化傳播整理發(fā)布。

[1] <mixed-citation publication-type="journal" magId="1"><name>Wan G <given-names>H.Changes in regional inequality in rural China: Decomposing the Gini index by income sources. The Australian Journal of Agricultural and Resource Economics, <year>2001, <volume>45(3): <fpage>361-<lpage>381.

A new method is proposed to decompose inequality changes as measured by the Gini index into structural effects, real inequality effects and interactive effects. Application of the method to updated Chinese data reveals that structural effects represent the driving force underlying the increasing trend in regional income inequality in rural China. Policy implications are explored. In addition to these contributions, considerable efforts are made to construct the income data used in the article. Pitfalls in measuring income inequality in rural China are discussed.

DOI: 10.1111/1467-8489.00148     

[2] <mixed-citation publication-type="journal" magId="1"><name>Petrakos <given-names>G.Patterns of regional inequality in transition economies. Euruopean Planning Studies, <year>2001, <volume>9(3): <fpage>359-<lpage>383.

This paper provides a comparative account of important aspects of regional development in transition economies, on the basis of regional statistics available for Poland, Hungary, Romania and Bulgaria. More specifically it examines the geographical pattern of disparities, the convergence/divergence trends that have taken place at the regional level and the relation of regional disparities to the process of transition. It is found that spatial adjustments under transition favour metropolitan and western regions, especially in countries sharing common borders with the European Union (EU) and being a short distance from the European core. In addition, disparities have increased at various rates and degrees in transition countries to levels that are higher than most of the EU countries. Given that the catch-up process, which favours more often efficiency than equity policies, has a long way to go, the regional problems in these countries may take alarming, by EU standards, dimensions.

DOI: 10.1080/713666485     

[3] <mixed-citation publication-type="journal" magId="1"><name>Wei Y <given-names>H, <name>Ye X <given-names>Y.Regional inequality in China: A case study of Zhejiang province. Tijdschrift Voor Economische En Sociale Geografie, <year>2004, <volume>95(1): <fpage>44-<lpage>60.

Most studies on regional inequality in China are based on macro regions and provinces. Studies on intraprovincial inequality remain limited, although there is a growing literature on Guangdong and Jiangsu. Zhejiang is a leading coastal province of China experiencing rapid economic growth and has been known for its Wenzhou model of development based on private enterprises. This paper uses time-series county data to examine regional inequalities in Zhejiang from 1952 to 1998, with a focus on the reform period of 1978-98. We find that intermunicipal and intercounty inequalities in Zhejiang increased substantially, and overall inequality also increased, especially in the 1990s when more radical market reforms were implemented. While cities like Hangzhou and Ningbo have maintained their higher level of wealth, some counties, particularly coastal counties in municipalities like Wenzhou and Taizhou, have recorded dramatic growth, centred on private enterprises. However, municipalities such as Quzhou, which were favoured by Mao's industrialisation policy, recorded slower growth, as did the traditionally poorer municipalities. We have analysed the role of localities, the state, and globalisation in the changing patterns of regional development in Zhejiang, with an emphasis on local agents of development. Copyright (c) 2004 by the Royal Dutch Geographical Society KNAG.

DOI: 10.1111/j.0040-747X.2004.00292.x     

[4] <mixed-citation publication-type="journal" magId="1"><name>Jongchul <given-names>L.Changes in the source of China's regional inequality. China Eeconomic Review, <year>2001, <volume>11(3): <fpage>232-<lpage>245.

This paper examines whether the dominant sources of China's regional inequality have changed since the early 1980s. We adopt the decomposition method introduced by Tsui (1993) to facilitate comparisons with his results for 1982. The decomposition analysis shows that the dominant sources of overall regional inequality in output have shifted from the intraprovincial to interprovincial inequality, from the rural–urban to intrarural inequality, and also from the disparity within the coast to between the coast and the interior. In the case of consumption, however, the intraprovincial inequality, the rural–urban inequality, and the disparity within the coast are the major factors of the overall regional inequality.

DOI: 10.1016/S1043-951X(00)00019-5     

[5] <mixed-citation publication-type="journal" magId="1"><name>Li Y <given-names>R, <name>Wang <given-names>J, <name>Long H <given-names>L, <etal>et al.Problem regions and regional problems of socio-economic development in China: A perspective from the coordinated development of industrialization, informatization, urbanization and agricultural modernation. Journal of Geographical Sciences, <year>2014, <volume>24(6): <fpage>1115-<lpage>1130.

59(5): <fpage>791-<lpage>799.] [7] <mixed-citation publication-type="journal" magId="1"><name>Bradshaw <given-names>M, <name>Vartapetov <given-names>K.A new perspetive on regional inequality in Russia. Eursian Geography and Economics, <year>2003, <volume>44(6): <fpage>403-<lpage>429. [8] <mixed-citation publication-type="journal" magId="1"><name>Yuan <given-names>Y, <name>Wu F <given-names>L.Regional social inequalities and social deprivation in Guangdong province, China. Growth and Change, <year>2013, <volume>44(1): <fpage>149-<lpage>167.

This article examines social deprivation at a regional scale using the case of Guangdong province, China. Counties, county-level cities, and districts of prefecture cities are selected as the units of analysis. At the provincial level, a significant variation is found in terms of the social deprivation index, showing a pattern of increasing deprivation from the core of the Pearl River Delta (PRD) to the peripheral areas of Guangdong province. In the PRD, social development conditions are significantly different among these units, whereas the level of economic development is less differentiated. Social deprivation in urban areas is considerably lower than in rural areas. The differences between cities are significant, showing a bifurcation trend, whereas rural areas seem to be similar. Social disparities in Guangdong province are derived from unequal economic growth as well as social and regional policies.

DOI: 10.1111/grow.12005     

[9] <mixed-citation publication-type="journal" magId="1"><name>Chen <given-names>G, <name>Gu C <given-names>L, <name>Wu F <given-names>L.Urban poverty in the transitional economy: A case of Nanjing, China. Habitat International, <year>2006, <volume>30(1): <fpage>1-<lpage>26.

In contrast to the traditional perception of the pervasive rural poverty in a developing country, poverty has become gradually urbanized in China, despite significant reduction of absolute poverty in rural areas since the late 1970s. This paper focuses on the changing context of urban poverty in China and emphasizes the difference between the “new urban poverty” and the traditional urban poverty, mainly experienced by the “three Nos” (people without stable income, working capacity, or family support) in the socialist era. A theoretical framework is proposed to address the impacts of three major transformations during the economic reform—economic restructuring, changing welfare provision, and sociospatial re-organization—on the poor segment of urban society. A case study of the city of Nanjing is conducted to examine the changing composition of urban poverty and its spatial characteristics. We conclude that new urban poverty in China is an inevitable outcome of economic restructuring, the state's retreat from workplace-based welfare provision and the urbanization process that re-organizes urban spaces. Due to the strong legacy of socialist urbanism and the limit of our data analysis, there is no strong evidence of poverty concentration at district level, though pockets of urban poverty are found at community level in the city of Nanjing.

DOI: 10.1016/j.habitatint.2004.06.001     

[10] <mixed-citation publication-type="journal" magId="1"><name lang="CN">周春山, <name lang="CN">劉洋, <name lang="CN">朱紅. 轉(zhuǎn)型時期廣州市社會區(qū)分析. 地理學(xué)報, <year>2006, <volume>61(10): <fpage>1046-<lpage>1056.

Zhou <given-names>Chunshan, <name>Liu <given-names>Yang, <name>Zhu <given-names>Hong.Analysis on social area of Guangzhou city during the economy system transformation. Acta Geographica Sinica, <year>2006, <volume>61(10): <fpage>1046-<lpage>1056.] [11] <mixed-citation publication-type="journal" magId="1"><name>Wu W <given-names>P.Migrant settlement and spatial distrbution in metropolitan Shanghai. The Professional Geographyer, <year>2008, <volume>60(1): <fpage>101-<lpage>120. [12] <mixed-citation publication-type="journal" magId="1"><name>Li Y <given-names>R, <name>Long H <given-names>L, <name>Liu Y <given-names>S.Spatio-temporal pattern of China's rural development: A rurality index perspective. Journal of Rural Studies, <year>2015, <volume>38(1): <fpage>12-<lpage>26.

China's rural areas are undergoing considerable spatio-temporal change. To some extent, this change increases the difficulty in our understanding the regional rural development and thus brings about challenges for the making of feasible regional rural development policies and strategic planning. This study establishes an index system to evaluate the degree of rurality in China at county level using national census data of 2000 and 2010, and examines the correlationship between rurality index and major socio-economic and geographical indicators. The results of evaluation and spatial analysis show that the rurality index can largely reflect the spatio-temporal patterns of China's rural development, and the Pearson correlation analysis confirmed that counties with high rurality have been marginalized in the aspects of both geographical location and economic development. As such, the patterns of rural development identified by rurality index analysis significantly improve our knowledge on the recent development of rural China. However, this index is less successful in revealing the agricultural production status quo alone. The authors argue that rurality index is an important tool for measuring rural development, and could provide us with valuable information for local planning and the innovation of rural development policies. Furthermore, integrating rurality studies and rural socio-economic analysis can contribute greatly to the making of integrated and regionalized rural development policies. (C) 2015 Elsevier Ltd. All rights reserved.

DOI: 10.1016/j.jrurstud.2015.01.004     

[13] <mixed-citation publication-type="journal" magId="1"><name lang="CN">袁媛, <name lang="CN">許學(xué)強(qiáng). 轉(zhuǎn)型時期我國城市貧困地理的實證研究: 以廣州市為例. 地理科學(xué), <year>2008, <volume>28(4): <fpage>457-<lpage>463.

研究辨析了綜合貧困(Multiple Deprivation)與貧困概念、總結(jié)綜合貧困的指標(biāo)體系和研究方法,評述國外地理學(xué)對綜合貧困空間的研究內(nèi)容。再利用廣州市最低保障數(shù)據(jù)和五普數(shù)據(jù)構(gòu)建綜合貧困的指標(biāo)體系,采用因子分析法總結(jié)貧困主因子,并求得各街道綜合貧困得分。發(fā)現(xiàn)廣州市內(nèi)城區(qū)和外圍局部地區(qū)存在綜合貧困累積型分布的狀況,呈現(xiàn)"圈層+局部放射"的綜合貧困空間總體形態(tài),內(nèi)外城貧困特征有一定差異,是歷史、政策和市場等多種力量長期綜合作用的結(jié)果。研究對拓展中國轉(zhuǎn)型期貧困地理研究視角和指標(biāo)體系有一定的裨益。

<mixed-citation magId="2">[<name>Yuan <given-names>Yuan, <name>Xu <given-names>Xueqiang.Geography of urban deprivation in transitional China: A case study of Guangzhou city. Scientia Geographica Sinica, <year>2008, <volume>28(4): <fpage>457-<lpage>463.] [14] <mixed-citation publication-type="journal" magId="1"><name>Yuan <given-names>Y, <name>Wu F <given-names>L, <name>Xu X <given-names>Q.Multiple deprivation in transitional Chinese cities: A case study of Guangzhou. Urban Affairs Review. <year>2011, <volume>47(5): <fpage>721-<lpage>736. [15] <mixed-citation publication-type="journal" magId="1"><name>Yuan <given-names>Y, <name>Wu F <given-names>L.Regional social inequalities and social deprivation in Guangdong province, China. Growth and Change, <year>2013, <volume>44(1): <fpage>149-<lpage>167.

This article examines social deprivation at a regional scale using the case of Guangdong province, China. Counties, county-level cities, and districts of prefecture cities are selected as the units of analysis. At the provincial level, a significant variation is found in terms of the social deprivation index, showing a pattern of increasing deprivation from the core of the Pearl River Delta (PRD) to the peripheral areas of Guangdong province. In the PRD, social development conditions are significantly different among these units, whereas the level of economic development is less differentiated. Social deprivation in urban areas is considerably lower than in rural areas. The differences between cities are significant, showing a bifurcation trend, whereas rural areas seem to be similar. Social disparities in Guangdong province are derived from unequal economic growth as well as social and regional policies.

DOI: 10.1111/grow.12005     

[16] <mixed-citation publication-type="journal" magId="1"><name lang="CN">袁媛, <name lang="CN">吳縛龍, <name lang="CN">許學(xué)強(qiáng). 轉(zhuǎn)型期中國城市貧困和剝奪的空間模式. 地理學(xué)報, <year>2009, <volume>64(10): <fpage>753-<lpage>763.

利用普查數(shù)據(jù)、民政數(shù)據(jù)和問卷調(diào)查資料，從城市宏觀空間與個體微觀層面，系統(tǒng)檢測了轉(zhuǎn)型時期中國城市貧困和城市剝奪的空間模式及形成原因。研究發(fā)現(xiàn)城市貧困和剝奪具有在內(nèi)城區(qū)重合、外圍區(qū)分離的特點(diǎn)。內(nèi)城居住區(qū)的戶籍貧困人口在住房、教育、設(shè)施等多方面處于被剝奪狀況，外圍的企業(yè)配套區(qū)戶籍貧困人口則沒有很明顯的被剝奪狀況，外來人口聚居區(qū)的低收入和貧困農(nóng)民工處于被剝奪狀況。究其原因，計劃經(jīng)濟(jì)時代和轉(zhuǎn)型時期的城市住房、建設(shè)和更新等空間政策的共同作用，直接導(dǎo)致了戶籍貧困人口和農(nóng)民工生活狀況的差異，進(jìn)而產(chǎn)生了迥異于西方城市特征的中國城市貧困和剝奪的空間模式。

DOI: 10.11821/xb200906012     

<mixed-citation magId="2">[<name>Yuan <given-names>Yuan, <name>Wu <given-names>Fulong, <name>Xu <given-names>Xueqiang.The spatial pattern of poverty and deprivation in transitional Chinese city: Analysis of area-based indicators and individual data. Acta Geographica Sinica, <year>2009, <volume>64(10): <fpage>753-<lpage>763.] [17] <mixed-citation publication-type="journal" magId="1"><name lang="CN">袁媛, <name lang="CN">李珊. 大城市低收入鄰里社會貧困的測度差異與成因. 地理學(xué)報, <year>2012, <volume>67(10): <fpage>1353-<lpage>1361.

社會貧困是對居民的社會保障和福利的享有情況、社會參與和融合等生活狀況的測度。利用中國3 大典型地域、6 個代表城市、3 類鄰里的1809 份個體問卷調(diào)查數(shù)據(jù), 本文選取13 個相關(guān)指標(biāo), 判定個體是否處于社會貧困狀態(tài), 利用回歸模型探究其影響因素, 并分析社會貧困現(xiàn)象在不同鄰里、不同城市集聚的分異特征。研究發(fā)現(xiàn), 6 個城市間的社會貧困集聚程度順序為東部、中部和西部;3 大類鄰里中, 社會貧困在城中村表現(xiàn)最為明顯, 內(nèi)城居住區(qū)次之, 企業(yè)配套居住區(qū)最低。中國城市居民是否處于社會貧困狀態(tài)是體制(戶口類型) 和家庭(教育程度、年齡等) 因素共同作用的結(jié)果。代表體制因素的戶口類型對3 類城市的社會貧困均起到影響, 東中部城市中家庭因素也有一定作用。體制因素對城中村的社會貧困起顯著影響, 而家庭因素在內(nèi)城居住區(qū)和企業(yè)配套居住區(qū)中作用更大。

<mixed-citation magId="2">[<name>Yuan <given-names>Yuan, <name>Li <given-names>Shan.The measurement, spatial differentiation and driving forces of social deprivation in low-income neighborhoods in Chinese large cities. Acta Geographica Sinica, <year>2012, <volume>67(10): <fpage>1353-<lpage>1361.] [18] <mixed-citation publication-type="journal" magId="1"><name>Jones <given-names>C.Urban Deprivation and Inner City. London: Croom Helm, <year>1979. [19] <mixed-citation publication-type="journal" magId="1"><name>Townsend <given-names>P.Deprivation. Journal of Social Policy, <year>1987, <volume>16(2): <fpage>125-<lpage>146. [20] <mixed-citation publication-type="journal" magId="1"><name>Khan J <given-names>H, <name>Hassan T <given-names>S.Incidence of poverty and level of socio-economic deprivation in India. Journal of Developing Areas, <year>2014, <volume>48(2): <fpage>21-<lpage>38.

The present paper aims to analyze the spatial variations in the incidence of poverty and level of deprivation in India. The causal relationship between poverty rate (dependent variable) and twenty five selected socio-economic variables (independent variables) of deprivation has been also taken into account. The state/union territory has been taken as the smallest unit of study. The entire research work is based on secondary sources of data. The study reveals that the level of poverty is low in northern and southern states of India, and it is high in central-eastern states extending from the state of Maharashtra in the west to the state of Bihar in the east. The level of deprivation is high in the states extending from Rajasthan in the west to Orissa in the east, medium level in the southern, north-western and north-eastern states and it is low in the northern and southern most states of India.

DOI: 10.1353/jda.2014.0031     

[21] <mixed-citation publication-type="journal" magId="1"><name>Kearns <given-names>A, <name>Gibb <given-names>K, <name>Mackay <given-names>D.Area deprivation in Scotland: A new assessment. Uban Studies, <year>2000, <volume>37(9): <fpage>1535-<lpage>1559.

This paper gives an account of an attempt to create a new area deprivation index for Scotland based mainly upon non-census indicators and calibrated at the spatial level of the postcode sector. This is the first such index to be produced in the UK. The paper explains why there is currently more interest in this type of index, describes how the index was constructed from identification of deprivation domains through selection of indicators to their standardisation, transformation and combination into a single measure. A multidimensional account of the resulting geographical pattern of deprivation is given. There then follows a discussion of various issues surrounding the index and areas for further development or improvement are identified.

DOI: 10.1080/00420980020080251     

[22] <mixed-citation publication-type="journal" magId="1"><name>Alkire <given-names>S, <name>Foster <given-names>J.Counting and multidimensional poverty measurement. Journal of Policy Modeling, <year>2010, <volume>32(6): <fpage>818-<lpage>827.

This paper proposes a new methodology for multidimensional poverty measurement consisting of an identification method ρ k that extends the traditional intersection and union approaches, and a class of poverty measures M α . Our identification step employs two forms of cutoff: one within each dimension to determine whether a person is deprived in that dimension, and a second across dimensions that identifies the poor by ‘counting’ the dimensions in which a person is deprived. The aggregation step employs the FGT measures, appropriately adjusted to account for multidimensionality. The axioms are presented as joint restrictions on identification and the measures, and the methodology satisfies a range of desirable properties including decomposability. The identification method is particularly well suited for use with ordinal data, as is the first of our measures, the adjusted headcount ratio M 0 . We present some dominance results and an interpretation of the adjusted headcount ratio as a measure of unfreedom. Examples from the US and Indonesia illustrate our methodology.

DOI: 10.1016/j.jpubeco.2010.11.006     

[23] <mixed-citation publication-type="journal" magId="1"><name>Belhadj <given-names>B.New fuzzy indices of poverty by distinguishing three levels of poverty. Research in Economics, <year>2011, <volume>32(6): <fpage>221-<lpage>231.

In order to avoid a rigid poor/non-poor dichotomy (see e.g.脗 Hagenaars, 1986), the fuzzy sets approach to poverty measurement has been used. The aim of this paper is to propose fuzzy measures of unidimensional and multidimensional poverty by distinguishing three levels of poverty. A methodological research is proposed as follows: first, the poor are analyzed by partitioning the total population in three mutually exclusive groups around the poverty line, and three levels of poverty are distinguished. Second, a general rule for the construction of different fuzzy measure unions脗 (Zadeh, 1975) is proposed, that is, rules for the construction of overall poverty starting from different levels of poverty. Finally, classes of fuzzy measures of poverty referring to the overall population are suggested. An application using individual well-being data from Tunisian households in 1990 is presented to illustrate use of one of the proposed concepts.

DOI: 10.1016/j.rie.2010.10.002     

[24] <mixed-citation publication-type="journal" magId="1"><name>Mclennan <given-names>D. The English indices of deprivation 2010. , 2015-03-03.https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/6871/1871208.pdf [25] <mixed-citation publication-type="journal" magId="1"><name>Michael <given-names>N.Small area indices of multiple deprivation in South Africa. Social Indicators Research, <year>2010, <volume>95(2): <fpage>281-<lpage>279.

Michael <given-names>P.The geography of disadvantage in rural Scotland. Journal of Economic and Social Geography, <year>2003, <volume>95(4): <fpage>375-<lpage>391.

ABSTRACT In the United Kingdom, despite the social legislation of the post-war era, poverty and deprivation remain the daily experience of many citizens. Large numbers of the disadvantaged live in rural areas, yet most research attention has been focused on conditions in urban Britain, and in particular on the main cities of England. This research employs a multi-scale multi-indicator approach and data extracted from the latest Census of Population to identify the nature, intensity and incidence of disadvantage in rural Scotland. The empirical findings are of both academic and policy relevance. Finally, a five-dimensional conceptual framework is presented as a guide for future research into the geography of rural disadvantage.

DOI: 10.1111/j.1467-9663.2004.00315.x     

[27] <mixed-citation publication-type="journal" magId="1"><name>Yuan <given-names>Y, <name>Wu F <given-names>L.The development of the index of multiple deprivations from small-area population census in the city of Guangzhou, PRC. Habitat International, <year>2014, <volume>41: <fpage>142-<lpage>149.

The index of multiple deprivations (IMD) is an established method in western market economies for measuring the level of social disadvantage in small areas so as to allocate public resources and target area-based regeneration policies. The method has seldom been used in emerging economies such as China. This article applies the method to the city of Guangzhou and attempts to develop an index that is suitable to the local context. Using the fifth population census, 13 indicators are selected into 5 domains of deprivation, which are measured in the finest resolution of 1632 residents' committees (RCs). The method is useful to show urban鈥搑ural disparity and the extensive distribution of deprived areas in outer suburbs.

DOI: 10.1016/j.habitatint.2013.07.010     

[28] <mixed-citation publication-type="journal" magId="1"><name>Liu Y <given-names>Q, <name>Long H <given-names>L, <name>Li T <given-names>T, <etal>et al.Land use transitions and their effects on water environment in Huang-Huai-Hai Plain, China. Land Use Policy, <year>2015, <volume>47: <fpage>293-<lpage>301.

This paper analyzes the spatio-temporal dynamic patterns of land use in Huang-Huai-Hai Plain, one of the China's most important grain production bases experiencing rapid urban&ndash;rural transformation development, using high-resolution Landsat TM (Thematic Mapper) data and series data of water environmental quality monitoring in 2000 and 2010, and related socio-economic data from government departments. After assessing the change of water environmental quality of Huang-Huai-Hai Plain during 2000&ndash;2010, three spatial econometric regression models including Spatial Lag Model (SLM), Spatial Error Model (SEM) and ordinary least squares (OLS) are used to explore the correlationships between land use transitions and water environmental changes. The outcomes indicated that, during the research period, land use pattern changes in the study area were characterized by the loss of large quantities of farmland and the increase of construction land and water body. On the whole, the water environment in the study area was obviously improved, but

DOI: 10.1016/j.landusepol.2015.04.023     

[29] <mixed-citation publication-type="book" publication-format="print" magId="1">中華人民共和國國家統(tǒng)計局. 中國統(tǒng)計年鑒. 北京: 中國統(tǒng)計出版社, <year>2014.

該書系統(tǒng)收錄了全國和各省、自治區(qū)、直轄市2013年經(jīng)濟(jì)、社會各方面的統(tǒng)計數(shù)據(jù)，以及多個重要?dú)v史年份和近年全國主要統(tǒng)計數(shù)據(jù)，是一部全面反映中華人民共和國經(jīng)濟(jì)和社會發(fā)展情況的資料性年刊。　　本年鑒正文內(nèi)容分為27個篇章，即： 1.綜合；2.人口；3.國民經(jīng)濟(jì)核算；4.就業(yè)和工資；5.價格；6.人民生活；7.財政；8.資源和環(huán)境；9.能源；10.固定資產(chǎn)投資；11.對外經(jīng)濟(jì)貿(mào)易；12.農(nóng)業(yè)；13.工業(yè)；14.建筑業(yè)；15.房地產(chǎn)；16.批發(fā)和零售業(yè)；17.住宿、餐飲業(yè)和旅游；18.運(yùn)輸和郵電；19.金融業(yè)；20.科學(xué)技術(shù)；21.教育；22.衛(wèi)生和社會服務(wù)；23.文化和體育；24.公共管理、社會保障和社會組織；25.城市、農(nóng)村和區(qū)域發(fā)展；26.香港特別行政區(qū)主要社會經(jīng)濟(jì)指標(biāo)；27.澳門特別行政區(qū)主要社會經(jīng)濟(jì)指標(biāo)；同時附錄兩個篇章：臺灣省主要社會經(jīng)濟(jì)指標(biāo)；國際主要社會經(jīng)濟(jì)指標(biāo)�！　榉奖阕x者使用，，各篇章前設(shè)有《簡要說明》，對本篇章的主要內(nèi)容、資料來源、統(tǒng)計范圍、統(tǒng)計方法以及歷史變動情況予以簡要概述，篇末附有《主要統(tǒng)計指標(biāo)解釋》。

<mixed-citation magId="2">[NBSC. China Statistical Yearbook. Beijing: China Statistics Press, <year>2014.] [30] <mixed-citation publication-type="book" publication-format="print" magId="1">河南省統(tǒng)計局. 河南省統(tǒng)計年鑒. 北京: 河南統(tǒng)計出版社, <year>2014. <mixed-citation magId="2">[HNSB. Henan Statistical Yearbook. Zhengzhou: Henan Statistics Press, <year>2014.] [31] <mixed-citation publication-type="journal" magId="1"><name>Anselin <given-names>L, <name>Sridharan <given-names>S, <name>Gholston <given-names>S.Using exploratory spatial data analysis to leverage social indicator databases: The discovery of interesting patterns. Social Indicators Research, <year>2007, <volume>82(2): <fpage>287-<lpage>309.

Liu Y <given-names>S, <name>Lu S <given-names>S, <name>Chen <given-names>Yufu.Spatio-temporal change of urban-urban equalized development patterns in China and its driving factors. Journal of Rural Studies, <year>2013, <volume>32(6): <fpage>320-<lpage>330. [33] <mixed-citation publication-type="journal" magId="1"><name lang="CN">李裕瑞, <name lang="CN">劉彥隨, <name lang="CN">龍花樓. 黃淮海典型地區(qū)村域轉(zhuǎn)型發(fā)展的特征與機(jī)理. 地理學(xué)報, <year>2012, <volume>67(6): <fpage>771-<lpage>782.

村域是中國農(nóng)村社會經(jīng)濟(jì)活動的基本單元,開展村域發(fā)展綜合研究具有重要的理論和實踐價值。本文基于對黃淮海平原3 個典型縣區(qū)內(nèi)5 個代表性村域在過去30 年的發(fā)展歷程及影響因素的系統(tǒng)考察,探討傳統(tǒng)農(nóng)區(qū)農(nóng)業(yè)型村域轉(zhuǎn)型發(fā)展的過程特征與內(nèi)在機(jī)理。研究發(fā)現(xiàn):① 在經(jīng)濟(jì)基礎(chǔ)、人力資本和社會資本等內(nèi)源性影響因素以及制度安排、市場需求和專業(yè)技術(shù)等外源性影響因素的綜合作用下,案例村域大致經(jīng)歷了緩慢發(fā)展、逐漸起步、轉(zhuǎn)型發(fā)展3 個階段。② 案例村域轉(zhuǎn)型發(fā)展過程的共性特征包括:重視民眾參與;以能人為關(guān)鍵主體,著力實現(xiàn)內(nèi)發(fā)動力與外發(fā)動力的統(tǒng)籌協(xié)調(diào);日益重視搶占產(chǎn)業(yè)價值鏈的高附加值環(huán)節(jié);創(chuàng)新是村域發(fā)展的力量源泉;戰(zhàn)略、規(guī)劃及行動力是村域發(fā)展的重要支撐;村域發(fā)展是一個自組織、網(wǎng)絡(luò)化的動態(tài)過程。③ 其內(nèi)在機(jī)理可歸納為:村民是村域發(fā)展的主體,能人是村域發(fā)展的核心因素,能人基于對村域自身資源稟賦、發(fā)展意愿、市場供需、政策導(dǎo)向、外域經(jīng)驗的洞察,著力激發(fā)內(nèi)部動力、整合外部動力,共同構(gòu)建協(xié)作組織、開展學(xué)習(xí)創(chuàng)新、制定發(fā)展戰(zhàn)略、發(fā)展社會分工、參與市場競爭,切實推進(jìn)村域自然—生態(tài)結(jié)構(gòu)、技術(shù)—經(jīng)濟(jì)結(jié)構(gòu)、制度—社會結(jié)構(gòu)的優(yōu)化,進(jìn)而促進(jìn)村域轉(zhuǎn)型發(fā)展。在工業(yè)化、城鎮(zhèn)化快速推進(jìn)的新時期,為加速傳統(tǒng)農(nóng)區(qū)的村域轉(zhuǎn)型發(fā)展和城鄉(xiāng)一體化,應(yīng)注重村域生產(chǎn)體系和城鎮(zhèn)生產(chǎn)體系的要素融通、信息互享、產(chǎn)業(yè)融合、功能互補(bǔ)。

DOI: 10.11821/xb201206005     

<mixed-citation magId="2">[<name>Li <given-names>Yurui, <name>Liu <given-names>Yansui, <name>Long <given-names>Hualou.Characteristic and mechanism of village transformation development in typical regions of Huang-Huai-Hai Plain. Acta Geographica Sinica, <year>2012, <volume>67(6): <fpage>771-<lpage>782.] [34] <mixed-citation publication-type="journal" magId="1"><name lang="CN">安乾, <name lang="CN">呂可文, <name lang="CN">李小建.河南省城鄉(xiāng)收入差距演變及空間格局研究. 河南大學(xué)學(xué)報: 自然科學(xué)版. <year>2012, <volume>42(6): <fpage>725-<lpage>732.

城鄉(xiāng)收入差距擴(kuò)大是我國社會經(jīng) 濟(jì)發(fā)展所面臨的一項重大挑戰(zhàn).本文研究了1978年以來河南省城鄉(xiāng)收入差距的演變軌跡、空間格局特征及其影響機(jī)制.分析結(jié)果:改革開放以來河南省城鄉(xiāng)收入 絕對差距一直在擴(kuò)大,而相對差距呈現(xiàn)"V"與"M"復(fù)合狀變化,2003年后雖有縮小跡象,但仍維持在高位;城鄉(xiāng)收入差距具有顯著的區(qū)域不平衡性,空間格 局上具有對稱性,城鄉(xiāng)收入差距在富裕地區(qū)較小,而在貧困地區(qū)的表現(xiàn)則不具有一致性;城鄉(xiāng)二元經(jīng)濟(jì)結(jié)構(gòu)的剛性是影響河南城鄉(xiāng)收入差距的主因,其影響機(jī)制是通 過城鄉(xiāng)之間聯(lián)系傳遞的,城鄉(xiāng)之間聯(lián)系又與地理地形、交通通訊條件緊密相關(guān).基于此,不同的縣域,縮小城鄉(xiāng)收入差距的政策也應(yīng)因地制宜.

DOI: 10.3969/j.issn.1003-4978.2012.06.011     

<mixed-citation magId="2">[<name>An <given-names>Qian, <name>Lv <given-names>Kewen, <name>Li <given-names>Xiaojian.The study on the temporal evolution and spatial pattern of the urban-rural income inequality in Henan province. Journal of Henan University: Natural Science, <year>2012, <volume>42(6): <fpage>725-<lpage>732.] [35] <mixed-citation publication-type="journal" magId="1"><name>Liu Y <given-names>S, <name>Chen <given-names>C, <name>Li Y <given-names>R.Differentiation regularity of urban-rural equalized development at prefecture-level city in China. Journal of Geographical Sciences, <year>2015, <volume>25(9): <fpage>1075-<lpage>1088.

The urban-rural equalized development (URED) as a definite measure and operating model is beneficial to gradually eliminating the dual-track structure of urban-rural development, bridging the gap of urban-rural development, and creating harmonious urban-rural interactions. This paper aims to explore the status quo of URED in China at prefecture level, and to reveal the spatio-temporal patterns of URED and its differentiation regularity. The results show that: (1) China’s URED level can be categorized into two parts, i.e., the eastern and the western, according to the “HU Huanyong Line”, presenting a pattern of “east high and west low” and the URED level improves on the whole with the increase of distance from the line; (2) China’s URED level can also be categorized into the northern and the southern parts according to “Kunlun-Qinling-Huaihe Line”, presenting a pattern of “north high and south low”, and the URED level reduces on the whole with the increase of distance from the line; (3) At the national level, China’s URED has a significant trend of spatial agglomeration, the high and low URED regions tend to be adjacent, namely, the URED level presents obvious regional unbalance; (4) The five sub-dimension indicators of the URED level in the geographical space also reveal similar regional differentiation pattern, and in the aspect of space a decreasing trend is found in the URED level from the eastern (northern coast, eastern coast and southern coast), the northeastern, the central (the middle reaches of the Yangtze River and the Yellow River) to the western (northwest and southwest); and (5) China’s URED at prefecture-level city can be divided into five types of differentiation areas. This study contributes to promoting the integrative cognition of the status quo of China’s URED and can serve as a scientific reference concerning the decision-making of coordinating urban-rural development and of pushing forward new-type urbanization strategy in China.

DOI: 10.1007/s11442-015-1220-9     

[36] <mixed-citation publication-type="journal" magId="1"><name lang="CN">劉彥隨, <name lang="CN">楊忍. 中國環(huán)渤海地區(qū)城鄉(xiāng)發(fā)展轉(zhuǎn)型格局測度. 地理學(xué)報, <year>2015, <volume>70(2): <fpage>248-<lpage>256.

城鄉(xiāng)發(fā)展轉(zhuǎn)型是城鄉(xiāng)要素轉(zhuǎn)移、戰(zhàn)略轉(zhuǎn)變、機(jī)制轉(zhuǎn)換的綜合人文過程.利用網(wǎng)格和地統(tǒng)計分析方法,揭示了環(huán)渤海地區(qū)城鄉(xiāng)發(fā)展轉(zhuǎn)型的中心性、動態(tài)性與差異性;利 用logistic回歸模型,探測了城鄉(xiāng)發(fā)展轉(zhuǎn)型的空間敏感性.研究表明:①城鄉(xiāng)發(fā)展轉(zhuǎn)型中心性呈現(xiàn)以中心城市為核心的空間分異格局.平原地區(qū)逐漸形成以 省會城市為一級集聚中心、地級市為二級集聚中心、縣級市及縣城鎮(zhèn)為三級集聚中心的空間格局,山區(qū)城鄉(xiāng)發(fā)展轉(zhuǎn)型的中心集聚性尚不明顯.②城鄉(xiāng)發(fā)展轉(zhuǎn)型空間拓 展呈現(xiàn)“小聚集,大分散”的結(jié)構(gòu)特征.以北京、天津、濟(jì)南、沈陽、大連、石家莊、青島為主要城市擴(kuò)展核心,呈空間聚核模式持續(xù)向外蔓延拓展.沿海岸線的 “C”型帶和港口群區(qū)域的土地快速非農(nóng)化,成為城鄉(xiāng)快速轉(zhuǎn)型的熱點(diǎn)區(qū).③受點(diǎn)—軸—面區(qū)位要素綜合影響,城鄉(xiāng)發(fā)展轉(zhuǎn)型的空間敏感性具有明顯的區(qū)域差異性, 其最佳探測空間尺度為1200m.④未來城鄉(xiāng)發(fā)展轉(zhuǎn)型的極強(qiáng)敏感區(qū)以北京—天津—濱海新區(qū)為軸帶,以京津為核心區(qū),以遼東、山東半島為兩翼的環(huán)渤海區(qū)域經(jīng) 濟(jì)協(xié)同發(fā)展格局初步形成.合理有序的城鄉(xiāng)空間開發(fā)應(yīng)以城鄉(xiāng)發(fā)展轉(zhuǎn)型空間中心性、動態(tài)性和差異性為依據(jù),科學(xué)實施城鄉(xiāng)空間優(yōu)化與差別化管控策略.

DOI: 10.11821/dlxb201502006     

<mixed-citation magId="2">[<name>Liu <given-names>Yansui, <name>Yang <given-names>Ren.The spatial pattern measure of urban-rural development transformation in the Bohai Rim region in China. Acta Geographica Sinica, <year>2015, <volume>70(2): <fpage>248-<lpage>256.]

[1] 吳樂英,王錚,徐程瑾,顏艷梅. 省區(qū)碳經(jīng)濟(jì)分析的CGE模型及其應(yīng)用——以河南省為例[J]. 地理研究, 2016, 35(5): 941-952.

[2] 張海霞,牛叔文,齊敬輝,葉麗瓊,李娜. 基于鄉(xiāng)鎮(zhèn)尺度的河南省人口分布的地統(tǒng)計學(xué)分析[J]. 地理研究, 2016, 35(2): 325-336.

[3] 史本林,朱新玉,胡云川,楊艷艷. 基于SPEI指數(shù)的近53年河南省干旱時空變化特征[J]. 地理研究, 2015, 34(8): 1547-1558.

[4] 郭艷,張成才,康鴛鴦. 河南省經(jīng)濟(jì)發(fā)展的國土空間評價分區(qū)研究[J]. 地理研究, 2015, 34(12): 2320-2328.

[5] 徐旳, 柯文前, 陳培陽. 基于ESDA的河南艾滋病空間格局[J]. 地理研究, 2013, 32(7): 1199-1208.

[6] 喬家君, 吳娜琳, 李德洗. 河南省農(nóng)田利用集約度時空變化及其影響環(huán)境[J]. 地理研究, 2012, 31(9): 1598-1610.

[7] 趙文亮, 賀振, 賀俊平, 朱連奇. 基于MODIS-NDVI的河南省冬小麥產(chǎn)量遙感估測[J]. 地理研究, 2012, 31(12): 2310-2320.

[8] 李小建, 高更和, 喬家君. 農(nóng)戶收入的農(nóng)區(qū)發(fā)展環(huán)境影響分析——基于河南省1251家農(nóng)戶的調(diào)查[J]. 地理研究, 2008, 27(5): 1037-1047.

[9] 喬家君, 李小建. 河南省城鎮(zhèn)密集區(qū)的空間地域結(jié)構(gòu)[J]. 地理研究, 2006, 25(2): 213-221.

[10] 苗長虹, 王海江. 河南省城市的經(jīng)濟(jì)聯(lián)系方向與強(qiáng)度——兼論中原城市群的形成與對外聯(lián)系[J]. 地理研究, 2006, 25(2): 222-232.

[11] 苗長虹. 中國欠發(fā)達(dá)地區(qū)農(nóng)村工業(yè)發(fā)展的因素與區(qū)域型式──以河南省為例[J]. 地理研究, 1994, 13(3): 25-34.

  本文關(guān)鍵詞：黃淮海典型地區(qū)村域轉(zhuǎn)型發(fā)展的特征與機(jī)理，由筆耕文化傳播整理發(fā)布。

本文編號：243545