用户名: 密码: 验证码:
中国主要粮食作物生产布局变迁及区位优化研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
民以食为天,食以粮为源。对于世界上人口最多而人均耕地面积相对较少的中国来说,稳定和增加粮食生产必须作为一项基础性、长期性和战略性目标。近年来,国内外粮食供应和价格的不稳定形势,增加了提高粮食生产的紧迫性和保障粮食安全的重要性。值得注意的是,粮食生产所依赖的耕地资源逐年减少明显,并且绝大多数减少的是粮食播种面积。尤其是东南沿海地区,随着工业化和城市化发展,非农建设占用农业耕地现象突出。在粮食安全任务紧迫、现有耕地资源逐年减少及后备耕地资源有限的情况下,进行科学的粮食作物生产布局,明确各区域粮食生产发展取向是解决上述问题的关键。具体而言,本文着重探讨三方面问题:改革开放以来,中国主要粮食作物生产布局态势如何?背后的驱动机制是什么?未来应该如何发展?
     本文在对现有相关文献进行比较全面、系统综述的基础上,运用描述性统计、GIS、空间统计等方法,详细地分析了粮食、小麦、稻谷和玉米生产布局历史变迁与空间集聚状况,分阶段归纳其特点,并探讨现有粮食生产布局存在问题。在此基础上,应用目前最广泛的空间计量经济模型,在省域层面对粮食、小麦、稻谷和玉米进行分区域的影响因素实证分析,在县域层面对粮食进行分时间的影响因素实证分析,衡量相关因素对其布局影响。进一步构建粮食作物生产布局区位优化模型,重点考察“粮食安全情景”和“粮补政策情景”方案下粮食作物生产布局规划,据此提出相应政策启示。本文的主要研究内容包括以下五个方面:
     第一,对已有相关研究文献综述。首先,对农业生产布局成因的宏观和微观方面研究成果进行梳理;其次,对农业区域规划分析进行综述;另外对新空间经济学在农业经济的应用及空间计量经济模型进行综述。
     第二,历史变迁与现状分析。以统计数据为依据,分析1978-2007年以来粮食作物生产布局变化,从南北方、三大地带、七大产区、省域和县域的不同层面,进行综合系统的研究,分阶段归纳其布局特点。结合现状探讨其布局存在问题。
     第三,模型实证分析。详细分析粮食作物生产布局的资源、经济、市场、技术、政策和区位等因素。基于相关理论,构建纳入地理权重和经济权重矩阵空间互动效应的固定(随机)效应空间滞后(误差)计量经济模型,从省域层面对1978-2007年粮食、小麦、稻谷和玉米的生产布局影响因素进行实证分析。进一步构建考虑地理权重矩阵空间互动效应的空间滞后(误差)计量经济模型,从县域层面对2000年和2005年粮食作物生产布局影响因素进行实证分析。
     第四,线性规划模拟。构建中国粮食作物生产布局优化模型方案,设计“粮食安全情景”和“粮补政策情景”,借助GAMS软件,运用线性规划方法,进行实证分析,并提出未来小麦、稻谷和玉米生产布局优化方向。
     第五,结论概括与对策建议。根据理论与实证分析结果对全文研究结论进行简要的总结,并提出中国粮食作物生产布局发展对策建议。
     本研究结果表明:中国粮食作物生产布局区域格局变化特征明显,粮食生产重心变动轨迹沿“东北——西南”方向往复推进,变动方向由“趋向东南”转“趋向东北”,粮食作物生产布局逐步向耕地资源相对丰富、农民非农就业机会较少、生产经济效益比较高的北、中部地区转移或集中。小麦生产华北、华中区布局“扩大”受人均耕地规模扩大、灌溉条件改善及技术进步影响,东北、西南、华东区布局“缩减”受自然灾害及非农产业发展影响。稻谷生产东北区布局“增加”受灌溉条件改善、经济效益优势及技术进步影响,华东、华南区布局“缩减”受自然灾害及城镇化发展影响。玉米生产华北、东北区布局“保持稳定”受人均耕地规模扩大、市场需求增加、运输条件改善及政策的影响,西南区布局“缩减”受自然灾害的影响。省域和县域层面粮食生产布局实证分析表明除自然条件外,经济和市场是其变动关键因素,县域分析结果中经济效益优势、非农就业机会和市场需求系数均大于省域,粮食生产集聚格局形成受区域经济条件影响大于区位条件。另外,地理空间溢出效应对粮食、小麦、稻谷和玉米生产布局影响显著。区位优化模型实证分析表明,“粮食安全情景”中粮食生产布局要扩大粮食自给率低、生产能力弱的区域的生产规模,“粮补政策情景”中粮食生产布局要扩大粮食自给率高、生产能力强的区域的生产规模。因此,小麦生产布局应积极发展西南区、黄淮海区及长江中下游区,稻谷生产布局应积极发展东北区、长江流域区及东南区,玉米生产布局应积极发展北方春玉米区、黄淮海夏玉米区及西南区。
     本文的主要创新之处在于:对改革开放以来,中国主要粮食作物生产布局的历史变迁、现存问题、影响因素与区位优化进行了全面、系统的研究;引入地理权重和经济权重矩阵的空间互动效应解释变量对粮食作物生产布局影响因素进行实证分析,增强模型解释能力;在现有省域和区域研究层面的基础上,扩展到县域空间尺度的探讨,丰富了研究视角。
Food is the first necessity of the people; grain is the source of the food. As for the world's most populous and relatively low per capita land of China, stability and increasing grain production must be considered a basic、long-term and strategic goal. In recent years, international and domestic grain market supply and price instability situation, improved grain production urgency and grain security. It is worth noting that, land resources which grain production depends significantly decreasing, while most of the reduction land is sown area. Especially in the south-east coastal areas, with the industrialization and urbanization, rural land occupied by non-agricultural construction is very common. At the urgent grain security、the existing grain production land decreasing and reserve land resources are limited, scientific production of grain distribution、make clear the development of the regional orientation of grain production are the key to solve the above problem. Specifically, this article focuses on three issues: During reform and opening up, What about the situation of Chinese main grain production distribution? What is the behind mechanism? How about the future development?
     In this study, based on the relevant research and theory, use descriptive statistical、GIS、spatial statistical to analysis historical distribution changes and spatial concentration of grain、wheat、rice and com. On this basis, separately for both provincial and county level production of grain, apply the currently space econometric model, analysis the distribution factors. Further more, build grain regional optimization model, focus on "grain security scenarios" and "grain policy scenario" to analysis the optimization distribution of grain, and bring forward the corresponding policy. The main research contents include the following five areas:
     The first part is the literature review. To begin with, this part summarizes the theories about agriculture production distribution mainly from the macrostructure and microstructure hands. Secondly, comments on regional programming analysis.Thirds, summarizes the application of spatial economic in agriculture and spatial econometrics model method. And then points out the shortcoming of present research and at the same time puts forward the theoretical and practical significance of this study.
     Second, the historical changes and the status.Based on statistical data, the article analysis China's grain distribution changes on the south-north、the three major areas、the seven major areas, the provincial and county levels during 1978-2007, then summarized in four phases characterized. Furthermore, explore grain distribution problems.
     Third, empirical analysis. At a brief analysis the resources、economic、market、technology、policy aspects effect of grain disteibution. Based on reletavely theory, build spatial interaction effect geography weight and economy weight fixed (random) effects of spatial lag (error) econometric model, demonstration analysis the effect of grain、wheat、paddy、corn from province level during 1978-2007.Bulid geography weight spatial interaction effect space lag (error) effect model, analyzed changing production effect of grain from county level duing 2000-2005.
     Fourth, linear programming. On this basis, established a Chinese grain production distribution optimization model, design a "grain security scenarios" and "grain policy scenario", with GAMS software, use linear programming methods, through empirical analysis to pointed out the future of wheat、corn、rice diatribution direction.
     The last part is the summary of this study, as well as proposals to grain distribution.
     The results of this study show that: China's grain production regional pattern changeing is distinctness, grain distributionn center of gravity track along the "north-east to south-west", changing direction from "southeast" to "northeast".Chinese grain distribution gradually to the relative abundance of arable land, fewer non-farm employment, high cost-effectiveness of the north and midland. Wheat production distribution "expanded" in north area and central area is affected by per capita arable land, irrigation and technological advances, "reduced" in north-east, south-west, east area by natural disasters and the impact of non-agricultural industries. Clustering pattern of wheat is effected by regional conditions more than regional economic conditions. Rice distribution "increase" in north-east area is affected by the improvement of irrigation conditions, economic advantages and technological progress, "reduced" in east and south area by natural disasters and the impact of urbanization.Corn distribution "stable" in north area and north-east is affectd by the scale expansion of arable land per capita, the market demand, transportation conditions and policies, "reduced" in west-south by the impact of natural disasters. Provincial and county levels of grain production empirical analysis shows that in addition to natural conditions, economic and market conditions are a key element of its changes, "the north expansion" of grain production is affected by the improvement of irrigation conditions, technological progress, food demand. "South shrinking" is affected by the non-agricultural industries and the urbanization, on the results of the analysis of county economic advantages, non-farm employment opportunities and market demand coefficients are greater than the provincial, the pattern of the formation of concentration of grain production more than the impact of regional economic conditions, geographic conditions, at the same time the geographic spatial spillover effects significantly affect its distribution.
     Location optimization analysis indicates that, "grain security scenario" expand the low grain self-sufficiency rate and weak capacity of the production scale region, "grain policy scenario"expand the high grain self-sufficiency rate and high production ability to regional scale. Therefore, wheat production should develop in the south-west, Huang-Huai-Hai and Yangtze River areas, rice production should develop in the north-east, the Yangtze River Basin and south-east area, com production should develop in the northern spring com, Huanghuai summer com and south-west area.
     The main innovation of this paper is: Since reform and opening up,the article have a comprehensive and systematic study of China's major grain the history distribution changes, the existing problems, the impact of location factors and the regional optimization; Use geographical and economic weight space interaction effect variable, analysis factors of Chinese grain production distribution, enhance to explain the model. Based on the existing provincial and regional research level, extended to the county level, and has enriched the study perspective.
引文
[1]Adler,H.& Berenguer,S.E.Operations Research Center Report [M].Oxford: Basil Blackwell,1981: 23-29
    [2]Akerlof,M.Social distance and social decisions [J].Journal of the Econometric Society,1997,65(5): 1005-1027
    [3]Alexander,O.Estimates of mechanical stresses in leg muscles of galloping Grey-hounds (Canis familiaris ) [J].Journal of Agricultural Economics,1982,12(4): 261-268
    [4]Anselin,L.& Hudak,S.Spatial econometrics in practice: A review of software options [J].Regional Science and Urban Economics,1992,22(3): 509-536
    [5]Anselin,L.& Smirnov,O.Efficient Algorithms for Constructing Proper Higher Order Spatial Lag Operators[J].Journal of Regional Science,2002,36(1): 67-89
    [6]Anselin,L.Local indicators of spatial association-LISA [J].Geographical Analysis,2001,27(2): 93-115
    [7]Anselin,L.Spatial Econometrics [M].Dallas:University of Texas,1999:66-78
    [8]Anselin,L.Do spatial effects really matter in regression analysis? [J].Papers of the Regional Science Association,1998,65(1): 11-34
    [9]Anselin,L.Spatial Econometrics [M].Oxford:Basil Blackwell,2001:21-60
    [10]Anselin,L.Spatial Econometrics: Methods and Models [M].Dordrecht: Kluwer Academic Publishers,1988:189
    [11]Anselin,L.Spatial Externalities,Spatial Multipliers and Spatial Econometrics [J].International Regional Science Review,2003,26(2): 153-166
    [12]Anselin,L.Under the hood: Issues in the specification and interpretation of spatial regression model [J].Agricultural Ecomomics,2002(27): 247-268
    [13]Anselin,L.,Raymond,J.G,Florax,M.,et al.Advances in spatial econometrics: methodology,tools and applications [M].Berlin:Springer-Verlag,2004:51-68
    [14]Anthony,B.& David,K.GAMS: A user's guide [M].GAMS Development Corporation,1998:21-28
    [15]Aoki,M.New Approaches to Macroeconometic Modelling [M].Cambridge: Cambridge University Press,1996:51-65
    [16]Arellano,M.& Bond,S.Some Tests of Specification for Panel Data: Monte Carlo Evidence and Application to Employment Equations [J].Review of Economic Studies,1991,58(2): 277-297
    [17]Arthur,W.B.Increasing Returns and New World of Business [J].Harvard Business Review,1996(7-8): 100-109
    [18]Askari,H.& Cummings,J.T.Estimating agricultural supply response with the Nerlove model: a survey [J].International economic review,1977,18(13): 257-292
    [19]Askari,H.& John,T.C.Agricultural Supply Response: A Survey of Econometric evidence [M].New York: Praeger,1976:33-87
    [20]Aten,M.The effectiveness of virtual reality for administering spatial navigation training to firefighters [J].Journal of the Econometric Society,1996,6(1): 73-86
    [21]Badi,H.B.,Seuck,H.S.,Byoung,C.J.,et al.Testing for serial correlation,spatial autocorrelation and random effects using panel data [J].Journal of Econometrics,2007,140(1): 5-51
    [22]Badinger,H.,Muller,W.& Tondl,G.Regional Convergence in the European Union,1985-1999: A Spatial Dynamic Panel Analysis [J].Regional Studies,2004,38(2): 241-253
    [23]Baitagi,B.H.Econometrics of Panel Data (Second Edition) [M].John Wiley and Sons,2001:21-34
    [24]Balestra,P.& Negassi,S.A random coefficient simultaneous equation system with an application to direct foreign investment by French firms [J].Empirical Economics,1992,17(1): 205-220
    [25]Baltagi,B.H.& Kao,C.Nonstationary Panels,Cointegration in Panels and Dynamic Panels: A Survey [J].Advances in Econometrics,2001,68(1): 29-51
    [26]Baltagi,B.H.& Griffin,J.M.Pooled estimatorsvs their heterogeneous counter partsin the context of dynamic demand for gasoline [J].Journal of Econometrics,1997,77(2): 303-327
    [27]Baltagi,B.H.Spatial econometrics: In A companion to theoretical econometrics [M].Malden: Blackwell,1984:310-330
    [28]Baltagi,B.H.,Egger,P.& Pfaffermayr,M.Estimating Models of Complex FDI: Are There Third-Country Effects? [J].Journal of Econometrics,2007,140(2): 260-281
    [29]Baltenweck,I.& Staal,S.Beyond one-size-fits-all: Differentiating market access measures for commodity systems in the Kenyan highlands [J].Journal of Agricultural Economics,2007,58(24): 536-548
    [30]Bao,S.M.,Chang,G.S.,Sachs,J.D.,et al.Geographical Factors and China's Regional Development Under Market Reforms,1978-1998[J].China Economic Review,2002,13(1): 89-111
    [31]Barnes,E.A variation on Karmarkar's algorithm for solving linear programming problems [J].Mathematical Programming,1986,36(2): 174-182
    [32]Barry,R.P.& Pace,R.K.Monte Carlo estimates of the log determinant of large sparse matrices [J].Linear Algebra and Its Applications,1999,289(1): 41-54
    [33]Batisse,C.Dynamic Externalities and Locat Growth: A Panel Data Analysis Applied to Chinese Provinces [J].Chinese Economic Review,2002,13(2): 231-251
    [34]Beenstock,M.& Felsenstein,D.Spatial Vector Autoregressions [J].Spatial Economic Analysis,2007,2(2),167-196
    [35]Behrman,J.R.Supply Response in Underdevelopment Agriculture [M]. Amsterdam: North-Holland,1977:31-53
    [36]Bell,K.P.& Bockstael,M.Applying the generalized-moments estimation approach to spatial problems involving micro-level data [J].Review of Economics and Statistics,1999,12(3): 145-152
    [37]Bell,K.P.& Dalton,P.Spatial Economic Analysis in Data-Rich Environments [J].Journal of Agricultural Economics,2007,58(3): 487-501
    [38]Bell,K.P.& Irwin,E.G.Spatially explicit micro-level modelling of land use change at the rural-urban interface [J].Agricultural Economics,2002,27(3): 217-232
    [39]Bell,K.P.& Bockstael,N.E.Applying the generalized-moments estimation approach to spatial problems involving microlevel data [J].Review of Economics and Statistics,2000,82(1): 72-82
    [40]Benirschka,O.& Binkley,J.Land Price Volatility in a Geographically Dispersed Market [J].American Journal of Agricultural Economics,1994,76(2): 185-195
    [41]Besage,J.Spatial interaction and the statistical analysis of lattice systems [J].Journal of the Royal Statistical Society,1974,36(2): 192-236
    [42]Blonigen,B.A.,Davies,R.B.,Waddell,G.R.,et al.FDI in Space: Spatial Autoregressive Relationships in Foreign Direct Investment [J].European Economic Review,2007,51 (8): 1303-1325
    [43]Blundell,R.& Bond,S.Initial Conditions and Moment Restrictions in Dynamic Panel Data Models [J].Journal of Econometrics,1998,87(1): 115-143
    [44]Bockstael,M.Modeling Economics and Ecology: The Importance of a Spatial Perspective [J].American Journal of Agricultural Economics,1996,78(5): 116
    [45]Braulke,M.Note on the Nerlove model of agricultural supply response [J].International economic review,1982,23(12): 241-246
    [46]Breuseh,T.S.Maximum likelihood estimation of random effects models[J].Journal of Econometrics,1987,36(2): 383-389
    [47]Bruecckner,J.K.Strategic interaction among government,an overview of empirical studies [J].International Regional Science Review,2002,44(2): 421-451
    [48]Brueckner,J.K.Testing for strategic interaction among local govemments: The case of growth controls [J].Joumal of Urban Economics,1998,44(12): 438-467
    [49]Brundson,C.,Fotheringham,A.S.& Chalton,M.E.Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity [J].Geographical Analysis,1996,1(28): 281-298
    [50]Brunsdon,C.,Fotheringham,A.S.& Chalton,M.E.SomeNotes on Parametric Significance Tests for GeographicallyWeighted Regression [J].Journal of Regional Science,1999,39(3): 497-524
    [51]Bullock,D.S.,Lowenberg,D.J.& Swinton,S.M.Adding value to spatially managed inputs by understanding site-specific yield response [J].Agricultural Economics,2007,27(6): 233-245
    [52]Zimmerman,C.C.Consumption and standards of living [M].New York: Pimprenta Press,1936:1-320
    [53]Case,A.,Rosen,H.S.& Hines,J.R.Budge spillovers and fiscal policy interdependence evidence from the States [J].Journal of Public Economics,1993,52(2): 258-306
    [54]Casetti,E.Bayesian Regression and the Expansion Method [J].Geographical Analysis,1992,24(1): 58-74
    [55]Casetti,E.Analysis of Regression Parameters: An Application to the Investigation of Fertility of Fertility Development Relations [J].Modeling and Simulation,1982,13(3): 961-966
    [56]Casetti,E.Generating Models by Expansion Method: Applications to Geographic Research [J].Geographical Analysis,1972,1(4): 81-91
    [57]Charles,B.Random linear programs with many variables and few constraints [J].Mathematical Programming,1985,34(1): 62-71
    [58]Cheshire,P.C.& Edward,J.M.Geowth,Development,and Innovation: A Look Backward and Forward [J].Papers in Regional Science,2004,83(2): 249-267
    [59]Cho,S.H.& Newman,D.H.Spatial analysis of rural land development [J].Forest Policy Economics,2005,7(5): 732-744
    [60]Chvatal,V.Linear Programming [M].New York: W.H.Freemand and Company Press,1983: 27,187
    [61]Cliff,A.D.& Ord,J.K.Spatial Processes: Model and Applications [M].London: Pion Ltd.,1981:24-35
    [62]Conley,T.G.Economic modeling of cross-sectional dependence [D].University of Chicago,1996:21-24
    [63]Conley,T.G.GMM estimation with cross sectional dependence [J].Journal of Econometrics,1999,92(1): 1-45
    [64]Coughlin,C.C.& Segev,E.Foreign direct investment in China: A spatial econometric study [J].World Economy,2002,23(1): 1-23
    [65]Dallerba,S.& Gallo,J.L.Regional Convergence and the Impact of European Structural Funds Over 1989-1999: A Spatial Econometric Analysis [J].Papers in Regional Science,2008,87(2): 219-244
    [66]Daniel,M.K.& Killkenny,T.Decouplage an agriculture localisation activites [J].Economic international,2002,15 (1): 26-31
    [67]Danny,T.& Quah,M.Aggregate and regional disaggregate fluctuations [J].Empirical Economics,1996,21(1): 137-162
    [68]Dantzig,G.Linear Programming and Extensions [M].Princeton NJ:Princeton University Press,1963: 10,27,124
    [69]David,K.L.& Elliott,P.Productivity in Chinese provincial agriculture [J].Journal of Agicultural Economics,1998,11 (2): 101-105
    [70]Pinto,D.& Nelson,L.Land Use Change with Spatially Explicit Data: A Dynamic Approach [J].Environmental and Resource Economics,2008,12(5):129-132
    [71]Dean,M.& Edwin,P.The Supply Response of African Farmers [M].Amsterdam:North-Holland,1966:174
    [72]Demurger,R & Sylvie,M.Infrastructure Development and Economic Growth:An Explanation for Regional Disparities in China? [J].Journal of Comparative Economics,2001,29(1):95-117
    [73]Dixit,A.& Stiglitz,J.Monopolistic Competition and Optimum Product Diversity [J].American Economic Review,1977,67(2):297-308
    [74]Drabenstott,M.,Henry,M.& Mitchell,K.Where have all the packing plants gone? The new meat geography in rural America [J].Economic Review,1999,84(3):65-82
    [75]Driscoll,J.C.& Kraay,A.C.Consistent covariance matrix estimation with spatially dependent panel data [J].Review of Economics and Statistics,1998(80):549-560
    [76]Dubin,R.Spatial Lags and Spatial Errors Revisited:Monte Carlo Evidence [J].Advances in Econometrics,2004,18(1):75-98
    [77]Durlauf,S.N.Spillovers,stratification and inequality [J].European Economic Review,1997,38(3-4):836-845
    [78]Durlauf,S.N.& Louis,J.M.Measuring noise in inventory models [J].Journal of Monetary Economics,1995,36(1):61-79
    [79]Elhorst,J.P.Aregional analysis of labour force participation rates across the member states of the European Union [J].Regional Studies,1996,30(2):455-465
    [80]Elhorst,J.P.New Evidence on the Wage Curve [J].International Regional Science Review,2007,30(2):173-191
    [81]Elhorst,J.P.Specification and Estimation of Spatial Panel Data Models [J].International Regional Science Review,2003b,26(3):244-268
    [82]Elhorst,J.P.Unconditional Maximum Likelihood Estimation of Dynamic Models for Spatial Panels [EB/OL].http://irs.ub.rug.nl/ppn/25230568X,2003a
    [83]Fingleton,B.& Gallo,J.L.Estimating Spatial Models with Endogenous Variables,a Spatial Lag and Spatially Dependent Disturbances [C].Papers in Regional Science forthcoming Finite Sample Properties,2008,8:16-22
    [84]Fingleton,B.Equilibrium and economic growth:Spatial econometric models and simulations [J].Journal of Regional Science,2001,41(2):117-147
    [85]Fingleton,B.Spurious spatial regression:Some Monte Carlo results with a spatial unit root and spatial cointegration [J].Journal of Regional Science,1999,39(1):1-19
    [86]Florax,R.,Folmer,H.& Rey,S.J.Specification searches in spatial econometrics the relevance of Hendry methodology [J].Regional Science and Urban Economics,2003,33(5):557-580
    [87]Foucault,M.,Madies,T.& Paty,S.Public Spending Interactions and Local Politics Empirical Evidence From French Municipalities [J].Public Choice,2008,137(1-2): 57-80
    [88]Fran,P.& Ccedil,K.The Economic Implications of Learning by Doing [J].Review of Economic Studies,1955,7(29): 155-173
    [89]Froot,K.A.Consistent covariance matrix estimation with cross-sectional dependence and heteroskedasticity in financial data [J].Journal of Financial Analysis,1989,24(3): 333-355
    [90]Fujita,M.& Krugman,P.The new Economic Geography: Past,Present and the Future [J].Papers in Regional Science,2004,83(2): 139-164
    [91]Fujita,M.,Krugrnan,P.& Venables,A.The Spatial Economy: Cities,Regions and International Trade [M].Cambridge: MIT Press,1999:30-52
    [92]Gale,D.The theory of linear economic models [M].Chicago,IL: University of Chicago Press,1960:31-56
    [93]Gale,D.,Kuhn,H.& Tucker,A.Linear programming and the theory of games [M].New York:John Wiley and Sons,1951: 87,187,317-329
    [94]Glaeser,E.L.& Janet,E.K Cities,Regions and the Decline of Transport Cost [.J].Papers in Regional Science,83(1): 197-228
    [95]Greene,W.H.Econometric analysis [M].New York:Macmillan,1993:23-26
    [96]Griffith,D.A.Advanced spatial statistics [M].The Nethedands:Kluwer,1988:56-67
    [97]Griliches,Z.& Intriligator,M.D.Specification and estimation of simultaneous equation models [M].Amsterdam: Elsevier,1983:392-448
    [98]Griliches,Z.The Demand for Inputs in Agriculture and a Derived Supply Elasticity [J].Journal of Farm Economics,1959,41(2): 309-322
    [99]Haining,R.Estimating spatial-interaction models [J].Environment and Planning,1978,10(1): 305-320
    [100]Haining,R.P.Estimation spatial means with an application to remotely sensed data [J].Statist Theory Methods,1988,17(2): 571-601
    [101]Haining,R.P.Spatial Data Analysis in the Social and Environmental Science [M].Cambridge:Cambridge University Press,1990:10-19
    [102]Haining,R.P.Spatial Data Analysis Theory and Practice [M].Cambridge: Cambridge University Press,2003:11-14
    [103]Hausman,J.A.An instrumental variables approach to full information estimators for linear and certain nonlinear econometric models[J].Econometrica,1975,43(4): 727-738
    [104]Holloway,G.J.,Lacombe,D.& LeSage,J.P.Spatial econometric issues for bio-economic and land-use modeling [J].Journal of Agricultural Economics,2007,58(56): 549-588
    [105]Holtz,E.Public-Sector Capital and the Productivity Puzzle [J].The Review of Economics and Statistics,1994,76(1): 12-21
    [106]Hopper,W.D.Allocation Efficiency in Traditional Indian Agriculture [J].Journal of Farm Economics,1965,47(3):611-624
    [107]Hsiao,C.& Tahmiscioglu,A.K.A panel analysis of liquidity constraints and firm investment [J].Journal of the American Statistical Association 1997,92(438):455-465
    [108]Hsiao,C,Pesaran,M.H.& Tahmiscioglu,A.K.Maximum Likelihood Estimation of Fixed Effects Dynamic Panel Data Models Covering Short Time Periods [J].Journal of Econometrics,2002,109(1):107-150
    [109]Huang,J.K.& Bouis,H.Structural Changes in the Demand for Food in Asia:Empirical Evidence from Taiwan [J].Agricultural Economics,2001,26(1):57-69
    [110]Jefferson,T.G.& Zheng,Y.X.Growth,Efficiency,and Convergence in China's State and Collective Industry [J].Economic Development and Cultural Change,1992,40(2):239-266
    [111]Jenrich,R.I.& Schluchter,M.D.Unbalanced repeated-measures models with structured covariance matrices [J].Biometrics,1986,42(4):805-820
    [112]Jimenez,J.On why dynamic subgrid-scale models work [J].Center for Turbulence Research,1995,12(1):25-34
    [113]Kapoor,M.,Kelejian,H.H.& Prucha,I.R.Panel Data Models with Spatially Correlated Error Components [J].Journal of Econometrics,2007,140(1):97-130
    [114]Karlin,S.Mathematical Methods and Theory in Games,Programming,and Economics [M].America:Courier Dover Publications,1959:187
    [115]Kelejian,H.H.& Prucha,I.R.A generalized moment's estimator for the autoregressive parameter in a spatial model [J].International Economic Review,1999,40(2):509-533
    [116]Kelejian,H.H.& Prucha,I.R.A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances[J].Journal of Real Estate Finance and Economics,1998,17(1):99-121
    [117]Keller,W.& Shiue,C.The Origin of Spatial Interaction [J].Journal of Econometrics,2007,140(1):304-332
    [118]Krishna,R.Farm Supply Response in Indian-Pakistan:A Case Study of the Punjap Region [J].Economic Journal,1963,73(1):21-28
    [119]Krugman,P.Geography and trade [M].Cambidge MA:MJT Press,1991b:21-89
    [120]Krugman,P.Increasing Returns and Economic Geography[J].Journal of Political Economy,1991a,99(3):483-499
    [121]Stamp,L.D.& Dudley,L.The land of Britain:its use and misuse [M].Cambidge MA:MIT Press,1946:36-78
    [122]Lee,L.F.Asymptotic distributions of quasi-maximum likelihood estimators for spatial econometric models:I Spatial autoregressive processes [D].Ohio State University,2001a:39-59
    [123]Lee,L.F.Asymptotic distributions of quasi-maximum likelihood estimators for spatial econometric models: Ⅱ Mixed regressive,spatial autoregressive processes [D].Ohio State University,2001b: 69-90
    [124]Lesage,J.P.A spatial econometric examination of China's economic growth [.J].Geographic Information Sciences,1999,5(2): 143-160
    [125]Lesage,J.P.Bayesian Estimation of Limited Dependent variable Spatial Autoregressive Models,Geographical Analysis,2000,32(1): 19-35
    [126]Lindstrom,M.J.& Bates,D.M.Newton-Raphson and EM algorithms for linear mixed-effects model for repeated-measures data [J].Journal of the American Statistical Association,1988,83(404): 1014-1022
    [127]Lipton,M.The Theory of Optimising Peasant [J].Journal of Development Studies,1968,4(3): 26-50
    [128]Longford,N.T.Random coefficient models [M].Oxford UK: Clarendon,1993:26-49
    [129]Lucas,E.& Robert,J.Adjust Costs and the Theory of Supply [J].The Journal of Political Economy,1967,75(4): 321-334
    [130]Luenberger,D.Introduction to Linear and Nonlinear Programming [M].Chicago: Addison Wesley,1984:289
    [131]Madariaga,N.& Poncet,S.FDI in Chinese Cities: Spillovers and Impact on Growth [J].The World Economy,2007,30(3): 837-862
    [132]Magnus,J.R.Multivariate error components analysis of linear and nonlinear regression models by maximum likelihood [J].Journal of Econometrics,1982,19(3): 239-285
    [133]Manfred,M.F.& Arthur,G.Recent developments in spatial analysis [M].Berlin:Springer,1997:60-82
    [134]Mardia,K.V.& Marshall,R.J.Maximum likehood estimation of methods for residual covariance in a spatial regression[J].Biometrika,1984,71(1): 135-146
    [135]Maria,F.C.& Teodora,E.U.Geographical distribution of crime in Italian provinces: a spatial econometric analysis [J].Jahrbuch fur Regionalwissenschaft,2009,29(1): 1-28
    [136]Martin,R.The new'geographical turn' in economics: some critical reflections [J].Cambridge Journal of Economics,1999,23(4) :65-91
    [137]Martin,R.& Ottavano,G I.Growing Locations: Industry Location in a Model of Endogenous Growth [J].European Economic Review,1999,43(2): 281-302
    [138]Mauseth,P.B.Convergence,geograpy and technology [J].Structural change and Economic Dynamics,2001,12(3): 247-276
    [139]McCann,P.& Shefer,D.Location,Agglomeretion and Infrastrueture [J].papers in Regional Science,2004,83(1): 177-196
    [140]Moran,P.A.Test for the serial dependence of residuals [J].Biometrika,1950,37(2): 178-181
    [141]Muller,Z.Land use dynamics in the central highlands of Vietnam: a spatial model combining village survey data [J].Agricultural Economics,2002,27(3): 333-354
    [142]Munroe,D.K.,Southworth,J.& Tucker,C.M.Modeling spatially and temporally complex land-cover change:The case of western Honduras [J].The Professional Geographer,2004,1(56):554-559
    [143]Mur,J.& Trivez,F.J.Unit roots and deterministic trends in spatial econometric models [J].International Regional Science Review,2003,26(3):289-312
    [144]Murphy,K.J.& Hofler,R.A.Determinants of geographic unemployment rates:A selectively pooled-simultaneous model [J].Review of Economics and Statistics,1984,66(2):216-223
    [145]Muth,A.Rational Expectations and the Theory of Price Movements [J].Econometrica,1961,29(3):315-335
    [146]Nash,S.& Sofer,A.Linear and Nonlinear Programming [M].New York:McGraw Hill Press,1996:411
    [147]Nazareth,J.Computer Solutions of Linear Programs [M].Oxford:Oxford University Press,1987:124
    [148]Nelson.& Hellerstein.Do Roads Cause Deforestation? Using Satellite Images in Econometric Analysis of Land Use [J].American Journal of Agricultural Economics,1997,79(1):80-88
    [149]Nelson,G.Deforestation and land use change:sparse data environments [J].Agricultural Economics,2007,27(3):201-216
    [150]Nelson,G.Introduction to the Special Issue on Spatial analysis for agricultural economists [J].Agricultural Economics,2002,27(2):197-200
    [151]Nerlove,M.Estimates of the Elasticities of Supply of Selected Commodities [J].Journal of Farm Economics,1956,38(2):496-509
    [152]Nerlove,M.The Dynamic of Supply:Retrospect and Prospect [J].American Journal of Agricultural Economics,1979,61(5):874-881
    [153]Nerlove,M.The Dynamics of Supply:Estimations of Farmer's Response to Price [M].Baltimore:Johns Hopkins University Press,1958:1-368
    [154]Nerlove,M.& Balestra,P.Formulation and estimation of econometric models for panel data [J].Journal of Econometrics,1982,18(1):47-82
    [155]Nowshirvani,V.F.A Modified Adaptive Expectations Model [J].American Journal of Agricultural Economics,2001,53(1):116-119
    [156]Ord,J.K.Estimation methods for models of spatial interaction [J].Journal of American Statistical Association,1975,70(349):120-126
    [157]Ottaviano,G.T.,Tabuchi,T.& Thisse,J.F.Agglomeration and trade revisited [J].International Economic Review,43(26):409-436
    [158]Outrata,J.V.& Zowe,J.A numerical approach to optimization problems with variational inequality constraints [J].Mathematical Programming,1995,68(1-3):105-130
    [159]Pace,R.K.& Barry,R.Sparse spatial autoregressions [J].Statistics & Probability Letters,1997(33): 290-300
    [160]Paelinck,J.Spatial Econometrics [M].Saxon House: Famoborough,1979:28-69
    [161]Pesaran,M.H.& Smith,R.Estimating long-run relationships from dynamic heterogeneous panels [J].Journal of Econometrics,1995,68(2): 79-113
    [162]Peter,K.& Janos,M.Stochastic linear programming: Models,Theory,and Computation [M].Berlin:Springer,2005:13-56
    [163]Peter,H.V.Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model [J].Environmental Management,2002,30(3): 391-405
    [164]Phillips,P.& Moon,H.Nonstationary Panel Data Analysis: an Overview of some Recent Developments [J].Econometric Reviews,2000,19(3): 263-286
    [165]Plantinga,A.J.,Lubowski,R.N.& Stavins,R.N.The effects of potential land development on agricultural land prices [J].Journal of Urban Economics,2002,1(52),561-581
    [166]Quah,D.T.Empirics for economic growth and convergence [J].European Economic Review,1996,40(12): 1353-1375
    [167]Robert,J.V.Linear Programming: Foundations and Extensions (Third Edition) [M].Princeton: Princeton University Press,2008:38-43
    [168]Saigal,R.Linear Programming [M].Boston:Kluwer Academic Publishers,1995:347
    [169]Sampson,R.J.,Morenoff,J.D.& Earles,F.Beyond social capital: Spatial dynamics of collective efficacy for children [J].American Sociological Review,1999,64(5): 633-660
    [170]Schluter,M.G & Mouni,G.Some Management Objectives of the Peasant Farmer: An Analysis of Risk Aversion in the Choice of Cropping Pattern,Surat District,India [J].Journal of Development Studies,1976,12(3): 246-262
    [171]Schubert,U.An interregional labor market model of Austria [J].Environment and Planning,1982,14(9): 1233-1249
    [172]Shiba,T.& Tsurumi,H.Bayesian and non-Bayesian tests of independence in seemingly unrelated regressions [J].International Economic Review,1988,29(2): 377-395
    [173]Shin,C.& Amemiya,Y.Algorithms for the likelihood-based estimation of the random coefficient model [J].Statistics and Probability Letters,1997,32(2): 189-199
    [174]Smirnov,O.& Anselin,L.Fast maximum likelihood estimation of very large spatial autoregressive models: A characteristic polynomial approach [J].Computational Statistics & Data Analysis,2001,35(3): 301-319
    [175]Swamy,P.A.Efficient inference in a random coefficient regression model [J].Econometrica,1970,38(2): 311-323
    [176]Sylvie,C.& Sonia,P.Market access effect and local tax setting: evidence from French panel data [J].Journal of Economic Geography,2007,7(3): 247-263
    [177]Thomas,H.P.GAMS method and using [M].New York:Oxford University Press,1993:65-103
    [178]Wayne,F,B.& Mark,H.K.Two-Level Linear Programming [J].Management Science,1984,30(8): 1004-1020
    [1 79]Weaver,S.C.A Method of Measuring Vigor of Range Grasses [J].Ecological Society of America,1945,28(2): 146-162
    [180]Welsh,R.,Hubbell,B.& Carpentier,C.L.Agro-food system restructuring and geographic concentration of US swine production [J].Environment and Planning,2003,35(2): 215-229
    [181]White,E.N.& Hewings,G.J.D.Space-time employment modeling: Some results using seemingly unrelated regression estimators [J].Journal of Regional Science,1982,22(3): 283-302
    [182]Huang,Y.F.& Yee,L.Analysing regional industrialisation in Jiangsu province using geographically weighted regression [J].Geographical Systems,2002,4(2): 233-249
    [183]Zarembka,P.Linear models with random coefficients [M].New York: Academic Press,1974:143-168
    [184]阿尔弗雷德·韦伯[德].李刚剑等译.工业区位论[M].北京:商务印书馆,1997:120-128
    [185]埃德加·M·胡佛[美].王翼龙译.区域经济学导论[M].北京:商务印书馆,1990:23-31
    [186]保罗·克鲁格曼[美].蔡荣译.发展、地理学与经济理论[M].北京:北京大学出版社,2000:101-124
    [187]保罗·克鲁格曼[美].克鲁格曼国际贸易新理论[M].北京:中国社会科学出版社,2001:12-26
    [188]伯尔蒂尔·奥林[瑞典].地区间贸易和国际贸易[M].北京:商务印书馆,1986:1-30,88-139
    [189]查贵庭.中国稻米市场需求及整合研究囹.南京农业大学博士论文,2005:23-56
    [190]陈百明,周小萍.中国近期耕地资源与粮食综合生产能力的变化态势[J].资源科学,2004:26(5):38-44
    [191]陈百明.中国粮食自给率与耕地资源安全底线的探讨[J].经济地理,2005(2): 145-148
    [192]陈斐,杜道生.空间统计分析与GIS在区域经济分析中的应用[J].武汉大学学报,2002,27(4):391-396
    [193]陈海燕,张世英.我国粮食生产的地区差异[J].统计与决策,2006(10):72-74
    [194]陈卫平,郑风田.中国的粮食生产力革命——1953-2003年中国主要粮食作物全要素生产率增长及其对产出的贡献[J].经济理论与经济管理,2006(4).56-61
    [195]陈锡康,郭菊娥.中国粮食生产发展预测及其保证程度分析[J].自然资源学报,1996(3):199-202
    [196]陈晓玲.我国地区经济收敛的空间面板数据模型分析[J].经济科学,2006(5) : 5-16,17
    [197]陈永福.中国食物供求与预测[M].北京:中国农业出版社,2004:40-80
    [198]陈宗兴.经济活动的空间分析[M].西安:陕西人民出版社,1989:112-1 16
    [199]程叶青,何秀丽.东北地区粮食生产的结构变动及比较优势分析[J].干旱地区农业研究,2005,23(3):1-7
    [200]程叶青,张平宇.中国粮食生产的区域格局变化及东北商品粮基地的响应[J].地理科学,2005,25(5):513-520
    [201]储燕涛.中国饲料粮市场分析[D].中国农业大学博士论文,2003:26-69
    [202]崔桂霞.国内外小麦生产现状及发展趋势[J].食品研究与开发,2005,26(4): 13-17
    [203]大卫·李嘉图[英].政治经济学及赋税原理[M].北京:华夏出版社,2005:16-19
    [204]党安荣,阎守邑和周艺.中国粮食生产发展的时序变化研究[J].地理研究,1998,17(3):242-247
    [205]邓国,王昂生和周玉淑.中国粮食产量不同风险类型的地理分布[J].自然 资源学报,2002,17(2):210-215
    [206]丁文恩.调整农业生产布局增强农产品竞争力[J].甘肃农业,2003(9):21-21
    [207]董春.中国广电产业发展及空间布局的经济学研究[D].复旦大学博士论文,2006:109-156
    [208]董国新.我国粮食供求区域均衡状况及变化趋势研究[D].浙江大学博士学位论文,2007:24-89
    [209]杜能.孤立国同农业和国民经济的关系[M].北京:商务印书馆,1986:18-23
    [210]杜为长,科尔曼.中国农作物播种面积对价格反应的实证分析[J].中国农村观察,1997(2):21-27
    [211]樊新生,李小建.基于县域尺度的经济增长空间自相关性研究—以河南省为例[[J].经济经纬,2005(3):57-60
    [212]符淼.省域专利面板数据的空间计量分析[J].研究与发展管理,2008,20(3): 106-112
    [213]傅泽强,蔡运龙,杨友孝等.中国粮食安全与耕地资源变化的相关分析[J].自然资源学报,2001,16(4):313-319
    [214]高帆.中国粮食安全的理论研究与实证分析[M].上海:上海人民出版社,2005:107-110
    [215]高志刚.区域经济差异理论述评及研究新进展[J].经济师,2002(2):38-39
    [216]高志强,刘纪远.我国耕地面积重心及耕地生态背景质量的动态变化[J].自然资源学报,1998,13(1):92-95
    [217]顾朝林,石爱华和王恩儒.“新空间经济学”与“地理经济学”——兼论西方经济学与地理学融合的新趋向[J].地理科学,2002,22(2):129-135
    [218]郭柏林.我国粮食分布重心轨迹特征及动力[J].上海农业学报,1992,8(1): 68-74
    [219]郭伯林.我国人均粮食变化的地理研究[J].地理科学,1996,16(3):238-244
    [220]郭玮.我国农业生产力布局的变化趋势及存在问题[J].调研世界,2000(1):32-34,37
    [221]郭熙保.农业发展论[M].湖北:武汉大学出版社,1995:16-27
    [222]郭翔宇,刘宏曼.比较优势与农业结构优化[M].北京:中国农业出版社,2005:178-193
    [223]国家统计局.中国农村统计年鉴[M].北京:中国统计出版社,1978-2008
    [224]国家统计局.中国统计年鉴[M].北京:中国统计出版社,1978-2008
    [225]国家统计农村社会经济调查总队.中国县(市)社会经济统计年鉴[M].中国统计出版,2001、2006
    [226]韩俊.农村市场经济体制建设[M].江苏人民出版社,1 999:26-79
    [227]何秀丽.东北地区粮食单产的时序变化及影响因素分析[J].农业现代化研究,2006,27(5):360-363
    [228]赫希曼.经济发展战略[M].北京:经济科学出版社,1991:11-19
    [229]胡青峰,张子平,何荣等.基于Geoda095i区域经济增长率的空间统计分析研究[J].测绘与空间地理信息,2007(4):53-55
    [230]胡岳崛.中国未来粮食安全论—兼评莱斯特·布朗的《谁来养活中国》[J].当代经济研究,1998(5):3-11
    [231]黄爱军.我国粮食生产区域格局的变化趋势探讨[J].农业经济问题,1995(2):20-23
    [232]黄季焜,罗泽尔.迈向21世纪的中国粮食经济[M].北京:中国农业出版社,1998:36-48
    [233]黄玖辉.中国粮食区域调控与管理研究[M].成都:西南财经大学出版社,2005:16-21
    [234]黄诗铿.中国东南沿海省区粮食生产发展研究[M].北京:海洋出版社,1999:14-53
    [235]冀名峰.我国粮食生产的区域比较优势分析[J].农业经济问题,1996(5):19-24
    [236]江道琪.实用线性规划方法及其支持系统[M].北京:清华大学出版社,2006:6-21
    [237]姜爱林.关于粮食综合生产能力研究的几个问题[J].粮食科技与经济,2004(2) : 10-12
    [238]姜长云.改革开放以来我国历次粮食供求失衡的回顾与启示[J].中国农村观察,2006,2:8-15
    [239]姜会飞.中国小麦生产的时空变异及区域优势分析[J].中国农业资源与区划,2005,26(5):39-42
    [240]姜彤,许朋柱.自然灾害研究中的社会易损性评价[J].中国科学院院刊,1996,11(3):186-191
    [241]蒋长瑜.美国农业空间结构研究[M].上海:华东师范大学出版社,1997:58-67
    [242]蒋乃华,张雪梅.中国粮食生产稳定性与波动成因的经济分析[J].农业技术经济,1998(6):40-44
    [243]金祥荣,朱希伟.专业化产业区的起源与演化:一个历史与理论视角的考察[J].经济研究,2002(8):74-82
    [244]瞿商,苏少之.新中国区际粮食流通的三次变化及其原因分析[J].当代中国史研究,2003(2):46-58
    [245]亢霞,刘秀梅.我国粮食生产的技术效率分析——基于随机前沿分析方法[J].中国农村观察,2005(4):25-32
    [246]柯善咨,何鸣.市场和政府共同作用下的城市地价——中国城市的实证研究[J].当代经济科学,2008(2):25-32
    [247]柯善咨.东西部经济增长决定因素和扩散与回流的比较研究[J].统计研究,2009(1):56-65
    [248]李炳坤.我国粮食生产区域优势研究[J].管理世界,1996(5):151-160
    [249]李道亮.农业结构调整时期中国粮食生产能力储备的若干对策[J].农业经济问题,2001,4:10-12
    [250]李国胜,郭兆成.自然地理格局对区域发展时空分异影响的评价方法[J].地理研究,2007,26(1):1-10
    [251]李洪心.可计算的一般均衡模型:建模与仿真[M].北京:机械工业出版社,2008:35-68
    [252]李建平,刘冬梅.全球经济一体化条件下中国粮食生产的区域布局分析[J].粮食与油脂,2000(5):5-8
    [253]李萌.中国粮食安全治理方略[M].北京:中国农业出版社,2007:78-89
    [254]李锁平,王利农.我国蔬菜供给对价格的反应程度分析[J].农业技术经济, 2006(5):59-62
    [255]李小建,樊新生.欠发达地区经济空间结构及其经济溢出效应的实证研究一以河南省为例[J].地理科学,2006,26(1):1-6
    [256]李小建.经济地理学[M].北京:高等教育出版社出版,1999:60-78
    [257]李序颖.空间自回归模型及其估计[J].统计研究,2004(6):48-51
    [258]李裕瑞,卞新民.江苏省粮食生产地域格局变化研究[J].地域研究与开发,2008,27(2):113-117
    [259]李岳云.中国粮食波动论[M].北京:中国农业出版社,2001:79-85,90-96
    [260]李振泉,杨万钟和陆心贤.中国经济地理[M].上海:华东师范大学出版社,1998:76
    [261]梁琦.产业集聚论[M].北京:商务印书馆,2003:81-89
    [262]梁书民.中国农业种植结构及演化的空间分布和原因分析[J].中国农业资源与区划,2006,27(2):29-34
    [263]梁鹰.中国人能养活自己吗[M].北京:经济科学出版社,1996:26-37
    [264]梁子谦.中国粮食综合生产能力与安全研究[M].北京:中国财政经济出版社,2007:
    [265]廖永松,黄季焜.21世纪全国及九大流域片粮食需求预测分析[J].南水北调与水利科技,2004,2(1):29-32
    [266]林光平,龙志和,吴梅.中国地区经济σ趋同的空间计量实证分析[J].数量经济技术经济研究,2006(4):14-21
    [267]林华,温州市粮食综合生产能力分析和思考,中国农学通报,2004,5:328-330
    [268]林毅夫.必须重视粮食安全隐患[J].江苏农村经济,2008,5:26
    [269]林毅夫.再论制度、技术与中国农业发展[M].北京:北京大学出版社,2003:11-18
    [270]刘峰,马金辉,宋艳华等.基于空间统计分析与GIS的人口空间分布模式研究[J].地理与地理信息科学,2004,20(6):18-21
    [271]刘纪远.20世纪90年代中国土地利用变化时空特征及其成因分析[J].地理研究,2003(1):1-22
    [272]刘乃全.区域经济理论的新发展[J].外国经济与管理,2000,22(9):17-21
    [273]刘顺飞.中国水稻布局变化研究——1978年至2004年[D].南京农业大学博士论文,2007:79-105
    [274]刘旭华,王劲峰.空间权重矩阵的生成方法分析与实验[J].地球信息科学,2002(2):38-44
    [275]刘彦随,翟荣新.中国粮食生产时空格局动态及其优化策略探析[J].地域研究与开发,2009,28(1):1-5,1 6
    [276]刘玉杰,杨艳昭和封志明.中国粮食生产的区域格局变化及其可能影响[J].资源科学,2007(2):8-14
    [277]刘再兴,祝诚,周起业等.生产布局学原理[M].北京:中国人民大学出版社,1984:9-20
    [278]隆国强.大国开放中的粮食流通[M].北京:中国发展出版社,1999:109-115
    [279]鲁奇,冲鸣伦.五十年代以来中国粮食生产地域格局变化趋势及原因初探[J].地理科学进展,1997,16(1):31-36
    [280]陆文聪,黄祖辉.中国粮食供求变化趋势预测:基于区域化市场均衡模型[J].经济研究,2004(8):18-24
    [281]陆文聪,梅燕,李元龙.中国粮食生产的区域变化:人地关系、非农就业与劳动报酬的影响效应[J].中国人口科学,2008(3):20-28
    [282]陆文聪,梅燕.中国粮食生产区域格局变化及其成因实证分析——基于空间计量经济学模型[J].中国农业大学学报,2007(3):140-152
    [283]陆文聪.粮食市场化改革的农业结构变动效应及对策研究[M].北京:中国农业出版社,2005:121-155
    [284]吕火明,彭晓蓉.建设应用市场经济的农业商品生产基地[J].财经科学,1996(1):38-41
    [285]吕允英,刘慧.中外区域经济政策对比[J].当代经济,2006(9):78-79
    [286]罗其友.农业区域发展论[M].北京:北京气象出版社,2006:42-51
    [287]罗万纯,陈永福.中国粮食生产区域格局及影响因素研究[J].农业技术经济,2005(6)g 58-64
    [288]骆永民.财政分权、空间溢出与经济增长[J].财贸研究,2008,19(3):66-72
    [289]马九杰,崔卫杰和朱信凯.农业自然灾害风险对粮食综合生产能力的影响分析[J].农业经济问题,2005(4):14-17,79
    [290]马九杰.中国转轨时期的经济波动与农业[M].北京:中国农业科技出版社,1999:17-29
    [291]马康贫,朱方林.江苏粮食生产能力储备建设的途径与对策[J].现代经济探讨,2005(4):7-50
    [292]马兰,张曦.农业区位论及其现实意义[J].云南农业科技,2003(3):3-5
    [293]马骊,孙敬水.我国居民消费与收入关系的空间自回归模型研究[J].管理世界,2008(1):167-168
    [294]马荣华,蒲英霞和马晓冬.G1S空间关联模式发现[M].北京:科学出版社,2007:36-48
    [295]马文杰.我国粮食综合生产能力研究[D].华中农业大学博士论文,2006
    [296]马宗晋.中国重大自然灾害及减灾对策(总论)[M].北京:科学出版社, 1994:23-87
    [297]农业部软科学委员会办公室.保障粮食安全与提高农产品质量[M].北京:中国农业出版社,2005:47-60
    [298]农业资源空龄结构优化研究组.农业资源经济空龄结构优化研究[M].北京:中国国际广播出版社,1992:143-152
    [299]诺斯[美].经济史中的结构与变迁[M].上海:上海人民出版社,1994:1-21
    [300]潘竟虎,石培基.甘肃省人均粮食时空格局变化特征及驱动机制分析[J].农业系统科学与综合研究,2008,24(4):485-488,496
    [301]潘学标.经济地理与区域发展[M].北京:气象出版社,2003:14-39
    [302]潘耀忠.中国近40年旱灾时空格局分析[J].北京师范大学学报,1996(3):138-140
    [303]彭代彦.农业生产要素配置和农产品供给的计量分析[M].湖北:华中科技大学出版社,2003:269-276
    [304]蒲英霞,葛莹,马荣华等.基于ESDA的区域经济空间差异分析——以江苏省为例[J].地理研究,2006,24(6):966-974
    [305]乔世君.中国粮食生产技术效率的实证研究——随机前沿面生产函数的应用[J].数理统计与管理,2004(3):11-16,64
    [306]施泉生.运筹学[M].北京:中国电力出版社,2004:65-74
    [307]施雅风.全球变暖影响下中国自然灾害的发展趋势[J].自然资源学报,1996(2):102-117
    [308]史俊通等.论复种与我国粮食生产的可持续发展[J].干旱地区农业研究,1998(3):51-57
    [309]史培军.再论灾害研究的理论与实践[J].自然灾害学报,1996,5(4):6-17
    [310]史培军.最近15年来中国气候变化、农业自然灾害与粮食生产的初步研究[J].自然资源学报,1997(3):197-202
    [311]舒尔茨[美].改造传统农业[M].北京:商务印书馆,1987:12-30
    [312]宋洪远.改革以来中国农业和农村经济政策的演变[M].北京:中国经济出版社,2000:92-98
    [313]宋艳,吕晓华.食物结构变迁给农业开发启示[J].西南农业学报,2004,17(1): 122-125
    [314]苏方林.中国R&D与经济增长的空间统计分析[D].博士学位论文,华东师范大学,2005:32-67
    [315]速水佑次郎[日],朱钢,蔡防.日本农业保护政策[M].北京:中国物价出版社,1993:1-134
    [316]速水佑次朗[日],弗农·拉坦[美].郭熙保,张进铭译.农业发展的国际分析[M].北京:中国社会科学出版社,2000:26-37
    [317]谭向勇,孙琛.目前粮食过剩问题及对策[J].农业经济问题,1999,20(7):9-13
    [318]汤国安.AreView地理信息系统空间分析力法[M].北京:科学出版社,2002:87-90
    [319]唐华俊,罗其友.基于比较优势的种植业区域结构调整[J].中国农业资源与区划,2001,22(5):34-36
    [320]唐华俊,罗其友.农业区域发展学导论[M].北京:科学出版社,2008:3-18
    [321]藤田昌久[日],保罗·克鲁格曼[美]等.空间经济学:城市、区域与国际贸易[M].北京:中国人民大学出版社,2005:60-70
    [322]田光进.近10年中国耕地资源时空变化特征[J].地球科学进展,2003,18(1): 30-36
    [323]汪同三.近期中国经济形势与粮食市场的互动[J].中国禽业导刊,2008,25(9): 5-6
    [324]王伯伦,贾宝艳,胡宁等.我国北方水稻生产状况的分析[J].北方水稻,2008,38(1):1-5
    [325]王剑.外国直接投资区域分布的决定因素——基于空间计量学的实证研究[J].经济科学,2004(5):116-125
    [326]王劲峰.空间分析[M].北京:科学出版社,2006:9-20
    [327]王立平,任志贫.空间计量经济学研究综述[J].湖南财经高等专科学校学报,2007(12):25-28
    [328]王明利,李志军.我国粳稻生产:区域布局变化及粮食安全政策含义[J].农业经济问题,2005(6):66-70
    [329]王世耆,程延年.作物产量与天气气候[M].北京:科学出版社,1991:134
    [330]王守聪.中国主要作物生产形势展望[J].中国禽业导刊,2008,25(9):4-5
    [331]王舜卿.专业化是我国农业发展的必然趋势[J].中国农业资源与区划,1994(1):27-31
    [332]王秀清,程厚思.蔬菜供给反应分析[J].经济问题探索,1998(10):54-56
    [333]王玉斌,陈慧萍和谭向勇.我国南北方粮食产量波动与调运格局变化特征分析[J].农村经营管理,2006(5):27-29
    [334]王玉斌,王怀栋和吕彦彬.我国粮食调运格局演化及粮食生产战略选择[J].内蒙古农业大学学报(社会科学版),2008(1):107-109
    [335]魏后凯.区域经济发展的新格局[M].云南:云南人民出版社,1995:179-205
    [336]吴殿廷,王传周.农作物布局优化模型的初步研究[J].北京师范大学学报(自然科学版),1998(4):554-558
    [337]吴昊.交通运输与农业发展[M].北京:经济科学出版社,2007:175-210
    [338]吴玉鸣,李建霞.中国省域能源消费的空间计量经济分析[J].中国人口资 源与环境,2008,18(3):93-99
    [339]吴玉鸣,徐建华.中国区域经济增长集聚的空间统计分析[J].地理科学,2004,24(6):654-659
    [340]吴玉鸣.县域经济增长集聚与差异:空间计量经济实证分析[J].世界经济文汇,2007(2):37-57
    [341]吴玉鸣.中国经济增长与收入分配差异的空间计量经济分析[M].北京:中国经济科学出版社,2005:193-289
    [342]伍山林.中国粮食生产区域特征与成因分析——市场化改革以来的实证分析[J].经济研究,2000(10):38-45
    [343]肖世和,蔡典雄.旱地小麦的引进技术[M].北京:中国农业科技出版社,2001:21-60
    [344]谢云.1949-1992年我国粮食单产的气候影响分析[J].自然资源学报,1997(4):317-322
    [345]徐彬.空间权重矩阵对Moran's I指数影响的模拟分析[D].博士学位论文,南京师范大学,2007:21-78
    [346]徐信.线性规划方法及应用模型[M].北京:北京科学技术出版社,1990:176-188
    [347]薛宇峰.中国粮食生产区域分化和空间分布的经济学分析[J].上海财经大学学报,2005,7(3):3-10
    [348]亚当·斯密[英].国富论[M].西安:陕西人民出版社,2001:47-58
    [349]闫慧敏.近20年中国耕地复种指数的时空变化[J].地理学报,2005(4):559-566
    [350]严瑞珍,程漱兰.经济全球化与中国粮食问题[M].北京:中国人民大学出版社,2001:33-41,232
    [351]杨春.中国粮食作物生产布局变迁实证[J].经济地理,2008,5:813-816
    [352]杨海生,周永章和林剑.中国城市大气环境库兹涅茨曲线——来自动态面板数据的证据[J].资源开发与市场,2008,24(7):613-617
    [353]杨展.粮食经济地理[M].北京:中国商业出版社,1991:46-80
    [354]叶春辉.比较优势与中国种植业生产结构调整[D].博士学位论文,南京农业大学,2004:68-90
    [355]叶静怡.发展经济学[M].北京:北京大学出版社,2003:60-68
    [356]殷培红,方修琦,田青等.21世纪初中国主要余粮区的空间格局特征[J].地理学报,2006,61(2):190-198
    [357]于艳萍,张秀华和钱争鸣.劳动力流动对中国地区经济差距影响的空间计量经济模型分析[J].统计与信息论坛,2008,23(1 1):25-3 1
    [358]曾启明.小麦丰产技术[M].北京:金盾出版社,1991:32-50
    [359]曾召友,龙志和董大勇.基于Bayes理论的空间计量模型选择框架——以 中国电信服务外溢性分析为例[J].华东经济管理,2008,22(10):61-64
    [360]翟鸿雁.线性规划(运输问题)在农作物布局中的应用[J].现代农业科技,2006(10):82-83
    [361]张超,张长平和杨伟民.计量地理学导论[M].北京:高等教育出版社,1984:43-61
    [362]张春晖,中国玉米市场分析[D].博士学位论文,中国农业大学,2002:45-87
    [363]张金锁,康凯编.区域经济学[M].天津:天津大学出版社,2003:211-254
    [364]张落成.中国粮食生产布局变化特点及其成因分析[J].长江流域资源与环境,2000(9):221-228
    [365]张秋平,郝晋氓和白玮.农业结构调整对我国粮食供应的影响研究[J].农业系统科学与综合研究,2008,24(3):260-265,274
    [366]张士功.耕地资源与粮食安全[D].博士学位论文,中国农业科学院,2005:54-98
    [367]张文奎.经济地理基础[M].山东:山东科学技术出版社,1985:121-135
    [368]张文忠.经济区位论[M].北京:科学出版社,2000:48-56
    [369]张小川,贾善刚和聂凤英.国外农业区域专业化发展进程及其政策措施[J].中国农业资源与区划,2003,24(6):1-7
    [370]张晓旭,冯宗宪.中国人均GDP的空间相关与地区收敛:1978-2003[J].经济学(季刊),2008,7(2):399-414
    [371]张新民.中国农村、农业、农民问题研究(农村篇)[M].北京:中国统计出版社,1996:265
    [372]张馨之,何江.中国区域经济增长的空间相关性分析:1990-2004[J].软科学,2006,20(4):29-32
    [373]赵修卫.关于发展区域核心竞争力的探讨[J].中国软科学,2001(10):95-99
    [374]郑有贵,邝婵娟和焦红坡.南粮北调向北粮南运演变成因的探讨——兼南北方两个区域粮食生产发展优势和消费比较[J].中国经济史研究,1999(1):97-104,160
    [375]郑有贵.改革开放以来中国农业政策对粮食增产的影响[M].粮食安全问题,北京:中国农业出版社,2001:21-65
    [376]郑景云.自然灾害粮食损失评估模型及我国粮食灾损量的估计[J].中国农业气象,1994,15(6):7-10
    [377]中国水利部.中国水利统计公报(2006)[DB/OL].http://www.mwr.gov.cn
    [378]中国水利部.中国水资源公报(1997-2007)[DB/OL].http://www.mwr.gov.cn
    [379]中华人民共和国农业部.中国农业发展报告[M].北京.中国农业出版社,1996:181-197
    [380]钟甫宁,胡雪梅.中国棉花生产区域格局及影响因素研究[J].农业技术经 济,2008(1):4-9
    [381]钟甫宁,刘顺飞.中国水稻生产布局变动分析[J].中国农村经济,2007(9):39--44
    [382]钟甫宁,朱晶和曹宝明.粮食市场的改革与全球化[M].北京:中国农业出版社,2004:101-123
    [383]周国法,徐汝梅.生物地理统计学——生物种群时空分析的方法及其应用[M].北京:科学出版社,1998:26-58
    [384]周立三.中国农业区划的理论与实践[M].北京:中国科学技术大学出版社,1993:46-57
    [385]周起业.西方生产布局学原理[M].北京:中国人民大学出版社,1987:10
    [386]周旭英,张华,屈宝香等.调整中国粮食生产区域布局的基本思路与措施[J].中国农业信息,2003(12):8-10
    [387]朱长国.面对全球粮食危机,中国粮油市场如何应对?——我国粮食供求形势和价格前景展望[J].中国禽业导刊,2008,25(9):4
    [388]朱道华.外国农业经济[M].北京:中国农业出版社,1999:18-32
    [389]朱晶.农业公共投资、竞争力与粮食安全[J].经济研究,2003(1):13-20
    [390]朱启荣.中国棉花主产区空间布局变迁研究(1980-2002)[D].博士学位论文,中国农业大学,2005:32-90
    [391]朱扬虎. “七五”、“八五”全国农业科技成果组成、运行规律和利用研究[M].北京:中国农业科技出版社,2000:19-38
    [392]朱英明.产业集聚论[M].北京:经济科学出版社,2003:21-45
    [393]朱有志,蓝万炼.农业产业空间转移论[M].湖南:湖南人民出版社,2003:60-84
    [394]竺可桢.论我国气候的几个特点及其与粮食作物生产的关系[M].北京:科学出版社,1979:455-465
    [395]祝美群,白人朴.改革开放以来我国粮食生产波动的分析[J].中国农业大学学报,2000,5(4):6-10
    [396]邹凤羽.优化粮食生产布局,提高粮食综合生产能力[J].农业经济,2004,10:3-4

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700