Summary of Technological Change and The Spatial Structure of Agriculture

المشرف العام

Administrator
طاقم الإدارة
Summary of
Technological Change and
The Spatial Structure of
Agriculture By Sent Visser
http://www.gisarab.com/image/jpeg;base64,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 sj2wC SZBGa9oxmPGuA/pSzasfGpfrFJjIK6UqJ3HRWAO0wd7nF5V/TLkwF00cwzEXUKo0ntJa/uJ/DALoLSF6TjMeR8U/SdWqo3hUzRW/NctHcSLfAY5et9K82qGpTzFQiQLu19yTuD06/Z1zxyYAWvQmJJX0JjMfPY/SFn3im2YKozCSAA42HmAmOuNZnjXFKatlRXqsCxbXqliu0azdR1gEfzskAwbKBTJEi6 g6lQKCzEAC5JMAe5xXZ76QZWiVFSvTUttLDrtPYGdzjxDNZzPVqVOnXr60SAUe4lTqElRLtEdSfnilSiGrFaNlqgwrWBkEW7xeNumIFRpmCtOgcIkL6DrfSvJKdJzVLUbwHBMd4EmPXA8p9McjU1BczT5BLaiVgD IDHi eoCq9N1hHDCAfrACY29PtwDiPBRWqlklRMOWFp7rG/S3r8MQ2u3 Vlo7ZTfDdfQXD I0q666NRKi91YGPQxsfTBM1mkprqqOqL3YgD5nHhnCcqabO9Jrjl8Uu3Np8w5Yi9ut59cI5bidStzGv4gR/K5llvM73S5E xxI2gGYGSZ2TDGI5r2zM/SrKoJFQMegW5Meu3xJxymd/SJUIqClRClBMltRjoYgC 2OTPFcu1NtNVTbSdRixkbGDf WIUsi4ViSCF0kML61SSBtv39gfTHO7aKn8rLqbstIfb9Sva/07zpsrU7wQVTodtybGPmMVvEs5mq4dalWoW0Msj6oYXACwCfvgYrMjxrLMLBl8IAlmX/Tcgk2n26 uLZeIUVYaqiLqAIlxeZj5xvjCrUrCxBW9KnQzBC5rK/pA4hlZoJmPERGMM9OWjqOa4EzY7e0AdZwj9IuarIQrKSLcyDUJ62sRbtjic6aOYr1FfTSfUf2oJdXiwEbCd9Q7euEOIcLqZdoJBg2ZWHSOxkG4 Yx6J/2NDZLXRrKy8wf63F0BzZ1ndercP l c1aiy1FMghlEAixAKwd8XnCv0hUXB8VGQgkSo1rb2uPYj4xjx/hv0jZF0OuoRAYeYCSZ9Tf8ne yyoqqliHadQMglhMT3Aj3g45HO2iiTN Gs12Bmz1x9Ijju F6Fn/0g0gQKNJqskcxOlb2sbkmY6dcQ4b kOm9QpVpMgvDKdQgGLiARftOOBaiUy6lLmmZPZgL/dBj0jDSUAGSDPiNI6WgvJtuTv8ADGR2uqLzx8loNiokARw3r2ajWV1DqwZSJBBkEdwcB/6hS16PFTX/AHdQn5TPXHz5xjx8vU00nqGk1T92GOgkkNGnYGTEj295/wDUDWan4dPVTOrxCy6YJ3AJMNC7gT1x29OS0OaLHmuEbM0OLXG45L25/pXlQ gVNV4LKNSg pH4THXDdbjuWVSxr04AmAwJ QuTbbHiGSzZydIoaRcBiUj 7N/6egxX5vjdfTqppTMkywGpo32t3/4xm3aKrnEACNxWrtmotaJJneIle3VPprk1YBqhAIJDFSAY6QRqJv2xOv8ATHKKAdbEGLhGtPuB/PHgtH6R1CNXhU3IuGIJC7Sd/bqOmH HfSjUwFcAD 8swN l 8b4bnbU0TA13pMp7I4xiOuNl7wOPZWJ/WKW0nnEgeomR8ccrxr9KeToj9mGqtqgxKqBEzqg72tE48f4pnqVeo5LMB9UiQCOxG4ME hjFcX0iA2oG0X77aeoP59ehhe4Xtriud7abSYM8/hfRv0e mOUzgAp1NLkT4dTlYjuvRx6qSMX6sDsZx83ZfhtRUKVVnLsdXhtZlBvqB3WD0mfxhw/O1MuXFGrVXUpKlng/wAQYWYRupHrbEDaAcr61Ks7KRBNu3XgvpXC2dz9KiJquqA7ajE 3fHz5Rzubqp 0rVnVQI5zqqETHnYiQL7bReYhHif0gzNMaGJLieaoxeooPS7Ej3PSPfC6YuOFgE9qXVw0BzyY7F7Txb6eU11CghqRuxBVduk3b7AehxyHD/0lZxHnMU10k25eQC zKTB/inHD8G kTctPSSxsIIgk2k6jaBf3nFtnB44ZVOgU5aCN9NunQRtexB7Y531azHw w9Nd666dGg9ksufXXKF6v8ARv6e5XMiGqLSqAwVYgKT/haYMi4EzBx1FKqrCVYMO4Mi3tj5lFOm7MKlOCoMg7EbBpHmgm LL6JmvkprUMxVSmDdBHhNt5laR1iRB9cdA2hrR9a5TsrnH6P0vovGY8U4b l7NozrWy9OsAbFWNNgPXlYNbaAMej/AEZ m TzqKUqqlQiTSc6XB6xPnANtSyMdAcCuZzCM10mMxFnA3IHS57409VREsBNhJifbvhqVPGYzGYEL5go5KoTVpyNKkh2Y8ojr72wOpwuIBeZAIgd9/kBOLfNhqtT9XpCmEJmSwCsD1t5iO4nbrvharwqpTMfrKEi6wZPvB64y6U8YncuzohuBIG/8JzKZHwKZ1HStySb3PQCLmB/XHP1eJBSwpU1VdgYuR37fDBc7RbQ2vUamvqbFYPMO1xBv1HphbK5ZDd6kAAkhRLQBNphfTf4HCp0xdzjKKlU2awQgPmXJu7Hpc9O2DZdKjKVUEqT2sSPU9pj4jDGTdHkaAEQFiTcsdlDt2k2VQJ23vi9zeVqUyhFSzEMEKdBEwAOUABYWJJjtiqlYMOGNdyinRLxim2uKrsnwtEAaq4BidwAs7e5 Wx3xd0ahABUFmbbTcmALg7dYvHTAf8Aogrup0lKcSykwWYWtBnSAov7RF8G4xxZcsi6VV2U6SuqywJ2Av8AYMcFSoarg0XPDgvQpsFJpcbDjx1qyEOE5p6hYFESDAJllkX8oIN7zPU4hmaKU6lMPo1rZVbdQD5o2JMT8MC4Z9LalR9IpgSeUCST8bAfm H34JRYmqzMWJJkfcLERFpjElz2OirbhGteKprWVGzSve8614JLN5yin70F2J1AwE26gapiRO98O5n6U0wINKoSFHl03G q3ra2FBwyk1RaZpghgWJ1MWUC25Pt3xz/FMyadXQgVAh5SBcyLydr gA7Y0p0mVSBec9QsqlapRBdaMtSnOL8Vr1AhulNiTTVRG3ewJ332OKnNqDB0kHcz1nr6dPnOLXhHEqgbxGuqnmd56xKqQRJjp0xa5HLfrrVmrACl/5bgEEHYAHrA3mcdOPoP42G8enNcvRmvk6Sdx7M S5vKZOrW8lNmI6qtj6E7atvU4tcjxM5am1KqJ1iNAF0BJ1TNiT26d mBUa ZykhP3Ws2OlgfU6bi3tthLPcQauQ7gEgRYR8N5xZa6qYMFnI3UBzaQkSH8xZNfR3idOnVPiSabAq8idQ6SoBv8AzO C8G4nQpl1qqtSlcoCgLDrudpFt 2KtcoSjOA0Ai8cvqJ73FsWfCPou9cmWCgAGANRM uw 3BVbSAc55jKe5FJ1U4WsE5x3pri fyZAFCiOpJ06TPQb7e39KZakbW3xa/SXgngxopvoUXeJBJP1j/TFNlKyAnWhbtDaY9TYz9mHs5aacsk9pultAcKkPgdmSey3EAtMp4VNwZuy8wm1iPxwxk LJpNPwmgxZHIMgzaQxF72xPJ5LKIA1auGP8AdUmPjAn7sFq8cory0KIk7kKFn0nc4ze4OJDWE QWjGuaJc8DzKsP1p2R1dNFNk2LSwImDa5BAFusH0xs8TqqtMwuoKVBINxbcTa67 HjQC0xUqnqCdMHSbWmYjp/XHPlK1V2c85sFpp2JsSdgI6zjgZD5MCB v2u98si5k/v9Lf6y9XS9dxH90wFG327Ycr5oARTCsRv1Ajpb82jGDICppozoqIREAFSOvuf cLcNAWs9GGDElBUiVAvB9GPTFkNcLbt26OKgFzSAd /fPBGyZapu062lT6af6/LFdXpnKOnigaZNwJBFwelrYb4e1alVCLQdkQRLEAASTKtpEi8xci8Ye lNblKVNIA5lOkkN/hJjln4WjDAcKmHNpS l1IvycOOXmuWzmUXWUpsVpuZptJ0ExYN6i4nf3wetwWtTTS9LWxIKmmZIHUHY 1iMX30e4cKkgVQ1Ab0mQML9AxvYjrf5g4jnsmMtUBptWBUzAIanEzBU3AvHKfYY0NZ2LADcdvmbRzzWQoDD0hFj2eQvPLJcY8qYdWU9dQj7Dg RzbUnWosSp6/ntjr/pEqMFrNSd4H7xI0j0YEXHvigyRyzNNWmyif8Ay25fkZPyOOqnVNSnLm9q5qlHoqkNcOS6LP8AFKeYok0qgSsByBoDfw9jO3UbYq8jR/WBoI0KpkSOUEkalA7yNj3PQ4ssvwvKZlKi0QqHSIJDSp7knzTER74oeKfRirSIFnU7EWAPrMAe OOiyndgJad0i41 V21qlUxUIDhF4Njr8cF09bLVFpTEEm3YXEDa4In7O Icc4WlWimvlKjzRddgb9usE3GOPy9Wsh5ariOgckfKdJwbNZutUINSoXi4B8v/AMRbp2xQ2CoHAhwsc1J2 m5pDmm9o3Ldf6M1KYLVSAkkArJnsYjYx6fzjRrvlaoBcuhWDANwRazG0W64v6P0rJVhVQz9XSAQPeT8cMEZLOMZkVFHKbqT0G0hj7gxhmpWH/dsjlr3UilRN6DoO6dey53IoXq0w5GhyTTqAbaSZte9iIP2jexqsDSJqArRViqKOqjY9CTyk4aq5FsudIoJWBIN6mogjtyKob2E uKNswxOxRV2RmBA9AGgxgDOlMty7tBPGKQwuz7D58Rrcna1SnVqIMupWQJqdSBYWPt/PFbWyo8d6ZWQeYTcmPU3Pf4Yd4VVqox0UiysZKqpIm xBIG/XDi8Pq J4tSiysfKutTqMQZBI6HCLejJE2i17pg9KAYvN4Fte6p34WjKFUKCYNkF5IAnuL/Ziv8A1GG06SsXgWt10nqJk/P3x1mYy1Q1JXL1DIAMlQBHxw3RMrdAxBAYDm0 pWJn4Ynpiwce9WaAeeHcbpL6N/T7iORKglszQnyVSWMf4KnmB9DI9Me1fRH6ZZXiCTSbTUHnovAqL7ibj1Ej42x4zV4JKrDFD26avY9OlgDtgi8Clg1QLq21KTJ9mEEfIdsaja271zu2F25XWlfEFTdgCAdNhq3aB1i3yxW5nhFHwvCVT5tU9Z94PyjDocYkD Yx442 oEzUBzCrP h5aBNJiYvLHePQD7hgVLg1FVE0jqvMFoO/xPTFwHH2Y2rD2xX/AKFXifFLE3 o8FW5SmlIclECLixN4iZK2/riVTOVS61NCBhIGrUYHpCgb4sJHS/f098ZbEHayTJCsV3AQMkFs9V8MhiC0EyoYbdANJuYj8eyJ4ejC8Xi8Et63ZSB8sWyj0PtianCG1lv2hN20Od9yr8rl1QcoUn11k/MLt8MHaoDMz6ABj/2CPtw2OnrMYkrSN/TEnaiTJCobS4CAq8KkNdwWAEhXtH iJviqfglIsGcO4HTS4n5U mOlWpggff7fz8MU3b3ty9fhQ6qH5hVQy1JqYp6SiLML4bH/s9ye Bf9OHlNWsFGyoHgelqYEfLfF0KnbGFu2Abc8a E lB3Ktq8PoMoBVrWJPiCdrmFEnCmW4DQRyTqcdFK1OvsmL7X6/kY3q7HAP8hUFhPikajSZLQqXO5BmUIjstK/7Pw2A EUz6XjFjk4pU1RWawuSrTPv4d8MF/X8/kYwNP9PzfGbtscRBFtclTa2EyAlKzsywajm3/ptHx/ZnFa30fy5uVM9AupR/ qfvxeE40xP/ABim7a9v2212JPqh/wBwlVVPguU0/uj8fEn/AGifkMLPwLLahpWB2K1SDvvaMXjHGEXvvih/kKo3nxUl7CPsHglnoUyi0ySUFioSF Wiw9L42aNHR4QLhB0VWv8A/XByDjXpjPrbloNo5JbLUMvS8oq6tgT4h 0qQo9MGr5qWBEiCSLtBmN/2J29MENv6HEuv5 ftgO1kmSJ70xtJAgCEhmeHU6t20hv7yq2odd/CHbDqZalFzJi5IY6rRLcvMfXBDjYwjtr4j3QK4BmAk8nQRB5mIBlZRlg9xC7em2 JGiGILVXK3lPDgH/AOs9cNqfyD/LG1f7dr4OuvmY14I6e0QhHLLoKKxVdwArSPiZBv0jETRpGTVGqYEGmTHfZPvwyH/M4wVMT11/DXgn1jkkxw kJFNmpgx5EK3H i/xnDyqunSzs47lP5JGNFjGMNTbCO3PO7XggV4yCWr8Ky7DmS87gEH7AMAqcAy1iNYg7QSD9k/IjFh4mM8T1H5/P3Ysf5Ks3Inx FBew5tCSp8PywadCx0BpsfjJBwdqFAtqChXP1gpB ei2C JfGvE/PvtiTt9Q5z4/CptYNyaEPQZ5a0Xna3 yT9mJtTDTJQz3SfvF/txhqDES J647 uvBUNo1K2sAG6z6I8fITiFZFezqre4fcbRIMY3q9MZhdbdwVdZOUKC0kAjUb92Zo/ QnAGyq7s6n3Bnr8MMBv6Ygxt1GK647hrwS6zyUFNEDSY0jbzfd0 GIoKAJZbHtzX yMFnGg H113A PwjrHJV7E9QNj3v67x euMomLW36n5fD8 uEVVCACJIJkah8Oth0sI3vglGAAYknpoMWkEmCdu43gb40NOAvMxpsVesgWJv6X7RuI6Yw1iJBFiJsR8R9nfCtRrAMQupTvKmNuo9PQ3F8Tr1EY2c6Y7ExG/WJubdunZdGjGmVqyDAMkGYA/H5RjRrdQp6GNvY77e2Bcs6pG12EDvMSY1D7InviVMS3LMDYdut4M/LthYQE8SNUq29etr/Z7Yj sQWMe0i7fcALjr9 BrUYEm0zYBT1ncz69pH36Fa3nOpjMHyxtF5g3nsLehwBiWJMCsbGCO3L T36YxswAbwe4232jv8A8Y3QqCxMx7xBF4iNxHTscCNbTuRBGxAmTA7bmP8AF8LYnDuhPFzRg9/U39ABb8/h1m1dQ24v3/Dp0 OBBlAhQYM2UEACb nbadx6RqnUBIJFzJjTIsCTygxAI3PcxGFglPEp ISJBt1gfbfp2tgtWBcmFMxtMC3x9R0wpUqw0BBzCwhu/eRczaR27Y1TqHWyQhgcygXAHYzeTtefxfRkpY06Hkkzyj/j7LgdOmNOptvf5e3r9mEzq1eVoH1pjYXBLLIH/EHrjeVqzNwsseXWL9rbAAEXvvhdGYlGMJs1tPKSCflHT8QMYKokjY 4/HrecDzNPS0cwUksdN46d77zF9x6k6VWaIZyL2EWg2gQJFjc9r9MThBEqpMwiFtG4MxtaT bdd/Y42rHopvf0v3nAhUSA0ttBty l9jcGDvMDvjaVJLDmmZ0wWgyB0uOt9h7nBgPBLEjVKmkGbR fYe04ymSRNhfvIPyPX8 i9KukwrlQCdJEmSYJ8qknzRPaZtidaoogudPWBIB2AWwMbk9Nja1jAiUbVft3n8O8xtjEee4H29zOFaFZGBgpaIuDE7wQQOvrjNTNuLx0Ikzb 9Y2699sBZxTxJhq0BiTYCPaAcEZr9bdgQR J9rdsAaodCgKFmBHtewvAM7949DgdYtDaQQJnmV/e3IJAj RGFglGJMGoJEmBHaOh/5FsSNRrR3Hp9nsSdx88LVoB0EDuQYBIGxiTIkwbYkAYBPhrEz13j19hta2DAjEmGYe43kdPxG3241SqSN53F7fK/xwlWzZDApdSYYsdz1tMkk23OGq66VLXsIJFheDpg22sPtO8osiOaA6VMV7b3vYGDafXYkYl4kgdNz22P4xhEV4nUOX1tBHwtt36Wm N0WdiCriTsAdUgz1F7XvEn16M0t6A9NUsx3sQLgxNvXyzcHfv2OCK1r7R/Se15F/j2wo1Vi1luCPrX JgbSe42wLOVBGlXGo9CACb3IAgn uF0UkBGNPU25t7fIfz6fmMRareCbxYXHoN/X8MBpVFLBTyGDJKiTYW7dQfSPiNa4JBTcbsIJtt72 wx6LBdPEmA q/r8R6QPl8RjYqzaB27x F /pGF6lQr/AIogQASBA6xMbxeYmcbFQFZP1bkE7WHb06neOkHCwJ4kYuDMdBtf4i04h4m8ggj877ffhfL1CxmnYCATcTt5YM gMT12jEjGotqAWAmqPU2EwALb9xh4IMIxIz1ALEj4bm8bdJMwPUY0skyBIgzO42i0Qfz74hT6mAD8 gmZ2229ZnuugVi0MGgWIgjfqdt4Eeo2GDCiU2z23N n422Fo eItU9ptEHv9wP52wOlUNos1yJJmREzIE7W73xmnnMqNVuUWJI wnvBwsKcoskD1G/3/j3xmo77wf Osfn7Vq1YhgGjUFFrE80 tr/AHH0xqnVggaSx6gcxAub3BAk2P8APBg3oxKmaqrlQHZhM7kkWggxUWLdhBO0YN qF3JZtO5BMGIFhBDEzymAe4wgM7ScH9uVaI/bICtiTclJQX7k7nBVkgNSqZZzt5ApJ682qbAgyd59MeqWkcu0fELjmUzlczoQw6mrFlMaB0OkaARIsZIM9D0nqcU4YlrTynYk Uc5nYGYi4kWxA8OD09aqVeDBSq2k6YFtQIMnobTF7ECQymoPpNXWtoYUX1b7ggF4I73Jg98ScEyOOsk7pkZerBEgxGlIDEDzXhTJiRFr/PGjQTUqBCbA7MFud4AUHbrt64p2qEJ4bJ4aD6xoPTYGdmIYjYzPoI3OJU6o5tNVYmxp13lrgKArKSY3uLAkxax0ZSxhHStSOoM4BWxA0qCbAEEuCQd9z8sW WZLadTE7aW1b ogkbEesHphLKCpoOlqjKxjkqoQDGqCTpImJ6Ax1wtXqVWkCmJvMUtTRzQBpLcsQSQJMDoMJwxEjhzQDhT YrBfNKjZidTA7QACh5rAzN4t1JjXzBY7AEiV1eHG3q0kQsiFFyJgGcDzHEgulUVYMba6cgEAgEqCQY6eWTtiFDMqSsGoepcVBUVVbqC5AI1QJMyemxwNpnOEyRxTZYlCWIYAgMvh8xBPl5HYx0vf064Hlaof9nSCKN2WHAv0nR6yD6e B1cmjLJDOto1JScEkEtEQZCgnvEdQTgOcplAKetU5jBWm3KCTF0Mryg7Akz2wg0G067EXzT/jOOxJJJ0ECL7nWQ2onr/wAY2ldiYYhtxaop0x3hSSBI3Pf1mCZhZCNVKyTpYuyEwN9JkACABbpsMJ1mIHPWARgIUspmZNyFFjA/niWsBMR661dBcn63KDFOoDK UAgSLztcECJgEfaP9cUJZ9MTqQgEkmJ5QRCyT8x1wpkaLgmy6dGoolKSQL8za5UQSdxth7NZzSsulYrbbWsADZrs0iQZPa3XDLYOHPXNEzdY7uXRAdQAJ5dZF5tYEGJ39cEqOvNoIEAkm5IIuWLWvYWubdts4dxFmZnFmcAHWzaB3JIQBRvvG4uIOFfFUEjVSDCYbVTEwJUDkVjM9NgDGJh0xGSq0SjUodgodS0heQLJJ3Gpjyjvc9e043WaW0iGmZmpH3AtfoCOsxjKdF6b6DTAJBWVMliBIKlqg2iT3ibjEqtQloZdC6hPiISZEAncnTN4tHTc4Riba8Et11MhoMKwIENpBkGIEQANgJBvfpAGI6CoIGszdeWSJ5jqE2Jt3Gwg7YSr0qS1NMF2B1aTSqCZ3I5SIEWNhEXxOq4prrL00KxZntYGDBS5Me11A3xWDh6aKUpqpWmBTJBM foIHNIDQAZGw2v0gIy gMSxvug35rACSNOxm/bvhelUAYnVNg3LXSe5NmgwNtXsd8Gr1JWHqVVBGptKlp1QFEq5mTFhb3jAGlpgIkFGglUVqaE9FYwzaiRYCbbTtbGl5AFGkFQbBmB0ieXppAAFvQW6YnWaCNdRw0AMXy7EREb EWJgdwBEdMLZhyoYK9MdSGBBMHUWEaexgg94B6Jt8/dMojGqoiZDC5DksCbSAEM2iLxHXB6aMyjQrkjmBuUF5vqMgxe1hO5jCdElgNFWjaDAe7dSZLaTEADSJ3vgxp1Ay1UTliW8NtM7XJE6hcFZDDeJM4HNE2jXegFEVvrFmeAIBi7C5KyTECSe1iJ2wN85zBdWqY2QEW0mZCsWu3breMRNaZc5epTUapYCRPeChDGJj3npfeVoCoup/ECI6hgsGGJBiA0CSBbQJn3wgwAS72 UScgjNVPLohdRsIsQsXMR4cQBFxvt1mGqGFplH1AliA0wDEaVYXJm9p WE8rnwgZjqIjSS8ajqtdvEh79JmCJiRiFHOKSioebxCW/ZmbxYaUZm2PXYeYYDSM2GtQnj4lGp1NC6mVdWnSwGpWUGLxGnVO0C17nBmL3cKoAEaiVGqCTIXQZ7TF46YnV1hzZQVSSrBtKyJEgLp0kiJvYGIuMLlVejeoEqhTp0VFAEMxIUEry3bcTy7iMRbPV07qdSur6llKohSIcHSQReDyhSY2jYbwMRpVt28Bw08sQQDA359J2uACBtffGUjU3FIBFBVSGJEFhMftNTkdF2v6DE6xQJTVFqGJLADSwY3gsF1BY6idjbD nIDz Y4IkqVAgO1QLURrCGYTBsZCsRdRaATB3sTgS1hqbUGEbH 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 aM6kdSW8zFVaZmYEqTO9wIsLzjSVW0FVWky76QsHtsTp e KxHpuDAAM3PlnedoFvbBKeXQNK1I6wWBEdJm/wABPTfHtlgXBiT1POgATTcRfkfTGkgwAlibQOwA7YZpZoaQEzFakEcTGpgJExqabwCTaL9QMV1LLVZEMXgQF2gmfX8zOGHzTpT8N0pzI1GZjfmmQCYPfa22IdTG4b9ZptdzTWS4m slalGtLXV0URJ1E6o5hMWMfDD2czeYWGKUKg3inU1LaeXTFjMSYvAucc3mHUA6kncmwi3rFiQZj2xiVaQKrzUyAGBDS0sBG89ADGA7O0mY13J9IYV9X4gjoP8AwxnSsl3XSSBEgERYCASRv6zhV87SCsG8Si5IgqIpgjYSTeJJna E8siAFRVlibhjuRO5AMC3sfjg UzFdG5awEzKjruNgdj91 uEaQAtr1SxzmrXK8Sps2j9ddgNtXmIEsfMpAiD6xA640KWo6Ur0agG/iEC28Sq2WRMwb364q1q1JA00ib7DSSRAI8oPQTuAB7yu mdXgxquYMWFtg15NzH88IUIuD5D4TL53K/ocPc6FNCiYBOpXe03 r0EzIkG3rgYzlMK1M067sAw5Wc6utlYg2nba5sJOKkJRNlqVqTRHckC4ifL5bme3bG8szCyZywAUArItE3NrXkiJO2 EaRzJ9QjEFeUM1SAnwq6QAuoAEC0DcGIBPTtMwJhXqheU5il2XxKPMOsKsBiQN2MAyRbFQuYrpzCKksCAQYm5tO5vHrfsBiwHG67eejGrfTU0gsIueedpsIkmTjI0XYvke6sPEa9kbLZduY0Dl6vMDLL4cGb8u31gCZNul8GFGok OoIBFkrkIJKyTcBp1AEGLReIJoM5SRiD4VSmwqE/s2GnfqJIBkEz6i wwbLfqaa5euSkFdSgSwNwAsEja5Ox6kYbqYifb8FIOTyZio5mkuaQXCjw9SgAz5ZVe1yd43nDTZgsyF3dGMqS9NtJIIAaRpmJMydgML/wDUWqg6sy5adSCBABjlEqSbKeY9NI9CLLVs3rLs2Wq7gFtJ0kluWGhkCybC0xvbEvZ2DXMahUDwTFLN0LO1HKugczBCO24WaZAsSZIkk7zsCwmY0VG0U1J1FlZa43AuAdMxtBJsQL9cRp5rNaAtRcu2lhy6grCJ8q7PpBBAg9oNonW/V1s9NVLmQCB4hK7NzaWIJby9yYjrkQJMjzn3CqTxUkWogJH61TMyzKVKG/mDBiDEBtgD/hGFKGZSnLtVrVKjKoPiUVaekBtPJpEdTt7RJ6C0dJFCpJZdARgdAmPqseYbGLWmMVVHMIHmpUrRAKqARGkGxdxMG5kCTjRlKZI8ovy3qS8hdFl LrVLs/hLJ08yyjAny61jWb9Y3uLTjK RAJFMZYkgAMzaITqQVJm6yCbyBYaowvkuLeJqapmAUIGlKgR ZTYHSyg3NyRe46A4Uq5KlqlkoSZ0gIVBF4OlXIDybSDsPTGQpEOIFvP8Ky8ECbqyoZd700oyjKJDu nkFhMSLtbY7mLXFnQyuVHi6zsRVRzBMidJBIImJYG3W K8cPtpVQCq6itGu2o6WsW17MANgNomTEnGdRNFJ6VdVWDpFRnViAp5rkQJtbeJGKDTMtvrPPW9SXCI16Jp IFERmqViSjTNAskgDSJX2ElTYxa1wcHSmV8ZxTpuT5fDKsFJMHz829p3JHtip4h9IK6kstdiq20tTB0TteBE7k9Z9MWXCuKVAjCo1EgidJ1I5EKJMCSJC8xvIF4MYp1F7WSBnw/SA8EqypZaVLL4KBiGFMMabaYgA3YAlg0E7XuuwrTxJ0UDwG0rysBmmZSTMkjUOaxB6A4arr yAITQgMU0qly4MhyxBLHtvG53vgwZVqAnIVahULrLqgEwdhEuNxcSRe2 MWkXxCe/wB50VR5a8kKjVcVAHo1aYWNZFNCWBb6rQ4AA2knb1sPPeDTR2LDxVICLWpTAC6twkOTF5udwYOFOFZRmqnwxXpFpAnVOkCJMHk0jVePrbiScPtWyaPpNfM07bODL6ViYddNyCO3KdhYW6GvgT3aPukLj8pfIOdAL GgcrBqI9J2PUAS0iyjVtIGCVKtPS1NlSqwHkSseZmuC0hABc9DsZNjg RzxrlilUAUphZQtrYD9o0ogYcxm8wLRM4DncrUdCKlSlVcMJRqYItIDSrMwIggEmYBFpgyHfVDrd5/HuFUWsmqmTpU SkoqnSrMsqViYEEjSCdpE br0lwjhyjXVNM0wTpVHKEMSBsAD9ViLTvuRgdbg1amikUqFWosDQiwEJYGS8RYC qOu5M4qsmauoirQc3IR8u5WJWDCyF0mGJJ0yY74m9Rhwunid/qP1xTmDcJrP1Vy7B3quCJ5XpyoEMviAhgoNuqhjqkRIhWjm6l0p1pTmckPUSN5YhpDARcxF tpeyqM37QPmwgKs8rqCgANqkwsSGJAnt6Yhms4y0/EfNCm4hRFIgnYkFupGr6o sekY0aRYRJ1GQUkb0xSqVJC MkCOfxkKHXMEhaQJYEk32G8xOMp0NaPppjzSp/ZMAQpAkKVIFhBB31egCB4gKxp0g WYIWMaWXzQYuQCklVJPNa25wfJcLisTVy9CmSDoZAwUabSVHmm9 gYbYzc3D91jrdIPPyVAzkoJkczSp8iUxUfc6f2hgEyrhyREyAANo9287xjMVOWrROgHQaqO2mZnTZSSREGWNwNthX8Uz/hpDUnbSvmp1CBMkSNOlrcpPeBckzgfB61JCfFpV5g7OSYksCQWI3IMRuBcScaupkgvc2SD3 vqEg6LA68EcZOnT1l8s1UzCzUJgNAESl9ibgHpBGBvWoSGIFMrTgIdLEarEAASB90j1xHNcTfWo8arSqSbVF5SeUazySGOkCZ2k2k4cyFZHlauZpmpqVmbSoAiDdTEmAQAZEE98MyBLp8SfUQkINmqvy/GMvUcU6bVgQLqUENzEsHQCOxkSN tsW1CkgY03zTXB061cv5rReSIH93bFVxHK1DUIy9OlmZAnw20mWBi4bSwGkwRGxlRGLXhYUq1GtlwHhag01oZVawFipiZmDF1knGdbCGgsJvutPbe6tkzBXI1mpMmrYCZLAGx9va9 3fC7Nl2smrUZMLM2jcmenphPMcMMGGcDcyJH59PUYlQpsiladQTuSeXVBnrMxGPZgAZri71Z0qbWEVLDqNW99ZIjrfbttGMiqWswEKNWy9zYHsNM3398IUHccrE8x0yN7mTp9bbn jDcVZTGnY6dP1ZsBcbmN5JucSWlKEdM00g1EN1PMFDGxsBHpaOpPYYnmeI0S5V/NFzAlRvuVmbfnpGnnkZNLmWWfLKiSZgAGT0xGpXQypQsTI q0zPp13Ejp74UwhMqmXYyq7kQTBY6jba5i147YWPDk0ylRmM7kgbQGA9pG5Ex6YYFFdRC HrIuZ5u1mAhD0t7d8J1cqqkEuVtLKXVhHuDPN6g9cF4QmC1XlK1YBHlA8u4 rNyb7evu8lfMLTZyU07KpBHWJ5lljbqehOKzJVKitrp1kYLsJOleU2gjt6xv6YfatXDKVUvSAix3gfPcxYYLyhLrnWLEujrJBLXsJFjFpOnbax OVs1lXK8kCbaSQbRzFhHrYf1Xp8bGoBjILDUpUW6Qx3JF97A74cZ6DlBUYKbwAklYG5ncSem8H3wiIO9CVzNCkwJStpFgSZaIsoBm5MEiOhHocOUctAVhVktss6ewkAEibdT1xlCgiIdIolVa5t26djA97ntiFThFNdLI4dfqkVCInVyrMD4k9TPbAYQjmRcVJWNTk7aRAswkiATv3wJ83WIjTSqK4jSDq1Ae4k36Rcz6Ylm8p4aMPFLACFJTlUQRytv5d53gYgiZnUsMNMF9IOxXcMLR7W2MRBwsAhC3TqEE0zQDtAl4GkddukTtgdOqsQEeQxOorPS0QNt9 3tBK YqEj/wAMSxk7Am3fTIEevceuIPxXTpVhU1MdJIUoANhA28t/hggnJCXpGhJK1qgkbGG0zJPx2me CotR enXkTZ3AW4AA0A3i5E gxtcxlqlnDFWgEGAR2mBJNth IwSnRosRpqsoEAAco2gdyDYHpF8FoTT Zr19MJU1yNrgSPSCAZJM9JN9sCynEcxQKJ4FJyx1RYie0EiRy 2 EX4UysWp1RpY8ptHffltBK7db4LTy9XSKYIdgBJ0nSNVhESpgQPSTeJxJY0jLNGIhaz/F1Z0L0gJInpB9FFup5YHb1wSnWouGhkhpaNOnSICxy9T6DvbGhmKrO6eGtpk6uwgDfcyPYzgmd4wiMo0MoIgtt4lrQf7uq8n/jCwxZoRMpDwnaf1eqoU6dYLcqj1keYepB JvbZbhyEUz4hdxB5tHhwsHVvqInp6detd wrAqaLKC0lrrOwtFmOmYjt64E4y6wqK7RYo2rmAN9tiL9ha8WlubOR1zTBXScVrZukjH9lWCwVZRfmHYTN5ve0bTGK4Zk1Rz5Za6ggljyX3IB1BQZEFbzYHCzUwxDUH0rEAM1lsJg7gGCRExHzO40jQtdX6mnMKx6FoJkwJi/tjPorc NwnjvKjT4fSDHw8tUVdPnNUMBqIm/KLQbXO9onFkq0kmnTWpJEhxrMaweZYJDxvFtgLXxUZbN5lXJQLpK6hpUBZaV6gXgxcdTidbiVWrpFagpCiNCsA3ckQZC26EHYAwcQ5jyYJt26nsVBwU81WotmabZatW5QNTF4YCQWLMRNwI0ggWEdRi1OZ1nRUzTsq85Vwu5BEFSOigsf4huTGKzM8RZyo8AMQtjpiwIJUC/LE/OcKZrPUKmsvS0MxjUPNeJYkre6yff0w hDg0EG2 xRjKs8y4quQaeXJgXNtTSSLqZUnVfYco2wbh/Cq1Sm6U1y8B4KqQWJ7K2gz0EksIGOX8KjzFMy42E7luaA0WOxJI9 pu7m8tXRjSy9ZIYDro1mJBmSWJ39JicN1ExDSB2j5QHCbq6bh6oxTwoCpDha0hmXciXBaSx6i9/TEHz4qOlNaeZo7ginfVYCQH1EKYkaTbscU2Wy1flWnWpmBuGnTJDHUIux267fHF0a2byN1ZWcLpkiCuok7X1a7b2lQOgxi mJgEE7rnPjv5Zqg7fuUavF6isSK9VAIkVkLhQ3UqYF1MfMWwkOKO1SoGajVUXmounmkxYEFYm0zvG2Gsr sJTgUAtOCNJWzamB1MdRIuqqZItbY4Jlcw1OgWrZZKqgXAKeZbattW0yb31E9sVDWD7R4jU8pQJO9JJRarEU6DXIABRCYa8zA7QOmmbzis4gylh sIwjYTOkACxIJBneB69sWNXNZdaatVyrIC3KxiI0yUiACNmj0PfEcrVyvhi1VNR5WUnVpIN/NpkNMW2I9sbh0HI2Ukc1rgtehypT8XUGJsxWDMCReYkWMdZJi9hnXNFWK5p0An9mVAiYsxjmnT1Pa/ePhUqlRhQzrU1JUDxBBYgSYMgSDyg3iMDr8Bd9VZ8zTZlYTc6F1Fokze402sNXrOOdxpl0udHI8 0W4LQB0WCjk28R1r1M5UR10wqoKZcAzz82nUSYk3sCegF6 aNemw10KekKyhqRIYmeVoY2EkSJve25qMxk84EKxQNJuVwqw0ggkMCNRNp7EXE4qc59H8zSYvVp6KNmBVgTF4keYGJNx0M7YTqLKpnEB/XL8BMPc3d2qwbIKtM6Vy1ZoKpBYNcbmw2IYgEQZPaCRaBo6lNDL0Wbr4iDUARssCxjf364R4NRUkxRrmovMQKpVStiYBIOobgXm 9gN8SyOYPh1tNYBwWDP8AtHuIBtLXA6Afbi4 vA4 Plv9kptI15KmzVKtSgMpUDUQ0EEzY9PTadsBHFzZySJ2A/men3mcXuWetGmRUUE2MkkzcCQIJm/pOALWpMHd8vTCeWGBDAkTI6CNVz3x3Bw4LnSNHPLdQFknU147dZk7 HBF dT/EvUTMHf12xlHJZapanysTKlTqK9vWT79hgFX6N1NSKrIeobVdh19CekTv8APAMMpWW6 WBGkoGLXY0tVh0MAD19TfAqmSTXAqeEIjaSBv37WwpxKhmKcK8qoETMiBvtPfE6CITpYhiFMlrACwBAm8djigDEgp5KVWi8AU cNcvMXE7k9Ntt8O5jP1qbklfIA0xt0jURf27DAqWeXl0ouoXWZ5Y21fZg9DMrMM5m419IN4AMkmLekYkE70iopxAtDaE0v5QUAk/KLCcHzOeWNLs0AAwFAB/uC3Qk uCPUV9IUCoo/wAMTtIF4O/24UzOVphwatN6a3gBrQBa91t90YVpRZGWq8C9OYsSsG5AgATfr63wXN06V/D0MR5pWDMXkzBPtO wwq XYrFKoGUCYZNR2G0Hmj26DCFTMVlZVZW0oNiImSTq ZODDOSIVm9BHgaKiKpsfqkdo2MmftvgtTLeIztSq6TcwVC gAM7xG3Y7dKepxCoOVVhmbSFB9I2nsR07YfbOJ40wdSXYmCTAHoew2tN8ItdCd1NM7mqKTo1kndBMwBIaOm23riNHj1ZFRAxmVHcSbafXvGHU45qpk1Fk/V5b7zYkWi0HAc5xFSpUOAgGplZdZ1DqDO23tfBY2hLuUV4kCwGgkxpO4LRcyFIG8nt74LSUnl16BHOoUMvWRJPMST YwtwqklRvGamyMADquA oQAFgiLTIGxvhiKct zaCTIpEswiebbl3/MDAR4oKYfLUtBHKAQE5lg29QbW7bAT2wFslSIKppIgkQ7QDJ6BRYkGDPzwNsrT0ohq1AACx1ATEEiZ2bew326WDlEqafDU625oBBVYM3I1DrPcYBZCcrUQVKIGXlIUFy3h6RMwDcAmNjt0wsctVp1FVqy6YgEAixmLXUEE33kEbYG XqNHhUiQSIEgWIHmAMm4mB0n1xr/AKrUpgKN9tQWG3MWIMDtB/4QvzTVoczWWaZms2kAhCARpu2qR1k3AMnvhGvmHCp4tJUUkgJp2AuSPTYFv8WJPxY06jTpZ9gYtI5jY2hT36kdjhypxmmdJS03LIxAAm8db3sf8ODLMJJatxZHQWCAfWQSRtABMAiQJ3EHfGUM6dE69U/30B3H1RPfuepxtK3ikNyqhjmqHUpuSCAVILAdB2GJpwuiV1No0yYAJA3MGxBRew3xMDhCFOrkKbJCU1dgpZ2RtJUmdh5Y/wAPphZ EqF1Go5ZgIhQNxFjHS/btB3wfL5cqjQCF1aSKZ1SOW4npqJAJ364Xq5UmSXKg6mJIUtPlVSAZkXi0X74d8pQi1cnVpqSjBon 9MlpkCCCOYfZgVGlmEB1ous8oJO69FEiZJ/HEA9ZQPDq06iOuwBU2GkC4v6QehPfDDPUp0wkNriSFbmOx3AJFmiNvhhpoGZqZg/vKRUTI1NzRGwAPUwbxtbBK1cBAatErYgrvIF7KSY2Mbb9d8L1OIaABVp2ZtnFlvcBT2mJN56dzHjdN9SQAhYGSAIAA3iPMdj2HucAaRuQtPXo1G/ZICyAmTp0qCCCLKDJP3TInBMy2WZtOvmIG66VtH1plel7nC1StQcn9mJMCZJIEEn/Tub3thihkctTJWo53M6CS0QIB1AGLnljr3wACOEIKG3B1DaqdXROkqs6wxJiOhiJaTJ3367GQYjWK2plX3AFp0yR27ybYGuRUPZlgQNTVDPMDspJuNJ81rRjQ4RqZQrtUESwGw7TMA9THxtMYcSiUQJmmhlqtIjSOYeXoYWJFvTAszxfNhSrMWUkyq3WWmZ7SThviFGtT1S g3J1iAAoi0db7T0jFdSztdFmNdNiZ0gG4m8C94NzvBxAptN4EbkwSrWlxmqqaXoKV1QWKTKkjUBEidO5A9cVT1coIBRw2zHykiRuDbYW29d5xNM4ykFlqCBJEFAdtbDYmxAjpY9cbHGKQELTXVtEzEbG5MwY7b4ttPCbDNOSiUGyi8hDVFuVHlIIvFrmeux2gjD2Up5Ngs1Hp04bknmIN5PQEq0DcSoMYpcvlqamW0tAkBGm8DqR6fOMMZjLoqhtIUzGnXue95BknbcYh7JFnFMOV7WyWWZdVOtpRnWSdbVGEBRqGpgWJttYXtcYos1l6lM6fFmSDEEapkC879IIBwBOH1HUlTpjTANuUgwSo7QRb3wpSpOjkltRCzC2afbc2n5jAykW2Lp7U3OxFWvjZko4NM6CAGOqRpEEAAiYHm Z9lctxLMUHAVqg0atEAMQD0F9uaYI64DVauiAkWg83U6psYMxf7sEPHHURRhC24ZASf8UwZkDtbFluMGQCEm2TS1EaCxieiMVIJsT29PzGGDnWKyjagpjTa0jeSYG0SOsDrjnMp51/h/li84L/ZV/jf71xRZmoiE eEpWIrIChjUArXEE3AAvzf0xX0 GZlKhGrXUuAJiIMtY3mR9pxaUf31P AfecSHk/1N/wD1xDXTZIEqkXiD005xGqRD/VAJtBtex G3XDJQOBrVRqEDSo1GTv0EQAPhhP6Tf2df80/7Tgn18r/B K4pv1MxCyqLSj0 A0yNAqtJG kaR16XYx7fyTzPBKlgrK6T/eEgDe2/XFpkv 1/vbFdlPN/pT71wmvOZUzdJ1sw1MkFGEC0eUR19O/XCtCuakl9RQDcG4MEDfvcxjtM/wDu0/1fdjjn/dt/F AxbSDJi6YyV1Tz9IQqBRAvq3vy6T6XBmRiFRwqlkq35rad szN/lim4Rs3574byX9rX44DTBMIIgqyp8UMIgRSSt3IUlhIJvaRaYwwcxQINMrpZjzuBDMR B7dsUHFv3yf5dP/AGjA289P2H3YbmRkUy3JXea4Oun9m4UEkw99NosQB0HrgdDhppaWVtTHeWiQ3S57iMHX zP/AJ34LgmZ3X/2/wAcQ0ki6iSq7iXEGVms1oPNAVSNht63FvTfGqXEzNNNLIJAZb6je523MzPScXPFf3Y/hT78B4z50/zF 58KWm0KxBCAOMuh8NdKhW2ka2iLX3aRE36dMN0OLCJrAMWU62gRqMcsWiB/PHPP/an/APyKn44Dnd6n nGjmWhItC6dqgqBW8QUkvISZPRiB0O4mexjAQmqdEVV6CpAFuxmN46dtpkUo2qfxf8AaMWdf92P8s/7sYgQUoumn4etZnQ0BKmCynadmnVsOs9cL8W4GlMrpNQAwFPK1yOoXe4N7Cw7YJwT9y/8f88dDkdm P8AufDxHEAiSFyWWQoNDVSQjXbSQFB6 YGbzBn2643xPKshAphWQGyodiLTcEj7t9ut5xP y1/c/ecU3C/7QPc/hhkolL0c41KmOUl9iN/rEmY6wSCd 2NZXiVRWNSAFckqOgUTAjaPwOOuTzN/Ef8AaMcLnv3VH3X7jhsIeSIVC6tv19GIq1UBQ2AkiCp3b Q6E7xGGRxKmASKC6hpA5iC4JEne4gb9ZHwps9 5b4f7Vwplf3i/wCUv34oUxCeFdXWz63fXVQXOywsx1O5FwO4PthVcoQzOQg3MtC7SFGmCPb22IxTcV/eD/3PxxZV9/8AR OERCjJWOZbTpTwRpSIKLqjUvWIMnrIjCq8POrxNRSmFsG5iCLfFbSTt274bXzZj4f7Rhah5G/yan 3CFjCFXV6J5v2yEEApvB080ntEde3vg X/WArQgILS3MARp7DtYbmD2xH6Of2uj/Cf9j4Z/8AW/g/EYTyQqlIVc9WUsamoM2rkImSe/Te/rg2X4iobmVVkHVKCbyD9hselsWPCv3dX/NH3VMc7m/Ov8J/3DFBodAQACralxoBIBJsJHMCIm st2mbfPAa75epzAEE6iRN5JFrRNgdx88c6f8AzPh/uwavs3x 44o0 BVBq6Dh2Xpag50X3Dgg7dPfUMRz/DJXUhkrp1DVKyxj4d52IjG Mfy 4YYyPlqfw0v9gxnJz4KSqTNVaqgFgygdWBG9vu9doxqtmXdVOoAki83iPQ3Fvux03HPKf8tfvxwP1/z6Y1pEOmyprZXQU4KXrHVBjltJkQLyCcao5tgfDGnVtIIm0k83zxV5fYe34jDdDzp/CfvOAtiUoX//2Q==​


By Jimmy Brymer
This article written in 1980 makes an interesting argument that although with all the advancement of society’s advancements that distance to market still matters for the amount of agriculture still being practiced. The author points to Von Thunen’s theory on this which he say is still relevant. To prove this point he used sample counties from big agriculture areas as samples such as areas in Colorado and Kansas. With these samples he entered them into a regression model that looked at agricultural intensity, the capital-labor ratio, and capital productivity increases over time from distance to the market. The regression model found that agriculture intensity does increase overtime and distance from the market. It also found that the further away from the Market there was no change in the Capital-labor ratio. Finally the fourth regression found that there was a decrease in the capital productivity overtime as you go fourth away from the market area with this being unaffected by advancements in technology. This he argues supports his claim that is rule still holds true.


[h=1]Bibliography[/h]
Visser, S. (1980). Technological Change and the Spatial Structure of Agriculture. Economic Geography , 312-319.


أكثر...
 
أعلى