A systematic revelation of the spatial features of growth in regional farming, forestry, animal husbandry and fishery from the perspective of industrial structure is conducive to the formulation of scientific agricultural development strategy. Based on the Esteban-Marquillas model, the study divides the agricultural growth into the weights of share, industrial structure, net competition and resource allocation. With the ESDA approach, the study carries out a systematic analysis on the spatial features of the growth in farming, forestry, animal husbandry and fishery at county level in Beijing-Tianjin-Hebei region from 2000 to 2014. The results are as follows: 1) From 2000 to 2014, the farming, forestry, animal husbandry and fishery in Beijing-Tianjin-Hebei region showed a growing trend with farming and animal husbandry being the major growing industries. 2) The agricultural growth at county level in Beijing-Tianjin-Hebei region shows obvious agglomerations, and the order of agglomeration degree in different industries from high to low is fishery, animal husbandry, forestry and farming. In terms of the four kinds of weights, the weights of share and industrial structure have the strongest agglomeration effect, and their agglomeration effect in different industries from high to low is fishery, animal husbandry, forestry and farming. The weights of net competition and resource allocation have agglomeration effects only in farming and animal husbandry, and their agglomeration effects in framing are the strongest. The high-high (or low-low) agglomerations of the four weights have low overlap, that is to say, the industrial pattern at county level in Beijing-Tianjin-Heibe need to be optimized. 3) The counties of Type Ⅰ (competitive advantages and high level of specialization) and Type Ⅳ (competitive disadvantages and low level of specialization) which have relatively reasonable agricultural resource allocation account for less than 50% (except for fishery). This shows that the comparative advantages of agricultural resource allocation at county level are not obvious and it lacks of coordination and division of responsibilities among counties. For the purpose of coordinated development of agriculture, a top-level design is needed to strengthen economic exchanges and industrial cooperation among counties. It is suggested to develop and implement differentiated agricultural development strategy and guide the flow of resources in case of excessive competition, and resource allocation efficiency should be improved to accelerate the agricultural structure and layout optimization.
[1] 李裕瑞, 王婧, 刘彦随, 等. 中国“四化”协调发展的区域格局及其影响因素 [J]. 地理学报, 2014, 69(2): 199-212.
[LI Y R, WANG J, LIU Y S, et al. Spatial pattern and influencing factors of the coordination development of industrialization, informatization, urbanization and agricultural modernization in China: A prefecture level exploratory spatial data analysis. Acta Geographica Sinica, 2014, 69(2): 199-212. ]
[2] 孙新章. 中国农业发展格局的演变特征与趋势 [J]. 中国人口·资源与环境, 2010, 20(12): 107-111.
[SUN X Z. Evolution and tendency of Chinese agricultural production pattern. China Population, Resources and Environment, 2010, 20(12): 107-111. ]
[3] PINGALI P. Agricultural growth and economic development: A view through the globalization lens [J]. Agricultural Economics, 2007, 37(S1): 1-12.
[4] 臧磊, 杨山, 姜石良. 产业转型背景下农业经济与农业劳动力耦合研究——以江苏省为例 [J]. 地理与地理信息科学, 2014, 30(2): 61-65.
[ZANG L, YANG S, JIANG S L. Research on coupling of agricultural economy and agricultural labor force under the background of industry transformation: A case study of Jiangsu Province. Geography and Geo-Information Science, 2014, 30(2): 61-65. ]
[5] 徐金鹏, 张晓萍, 张建军, 等. 30年来长武县耕地数量与农业经济发展计量关系分析 [J]. 干旱地区农业研究, 2012, 30(6): 221-226.
[XU J P, ZHANG X P, ZHANG J J, et al. Econometric analysis of relationship between quantity of cultivated land and agricultural economy in Changwu County in past 30 years. Agricultural Research in the Arid Areas, 2012, 30(6): 221-226. ]
[6] 董凤丽, 吕杰, 赵兵. 沈阳经济区农业结构效益评价及产业带构建 [J]. 中国农业资源与区划, 2013, 34(2): 97-101.
[DONG F L, Lü J, ZHAO B. Evaluation of agricultural structure benefit and industry belt construction in Shenyang economic zone. Chinese Journal of Agricultural Resources and Regional Planning, 2013, 34(2): 97-101. ]
[7] 吴丽丽, 李谷成, 周晓时. 要素禀赋变化与中国农业增长路径选择 [J]. 中国人口·资源与环境, 2015, 25(8): 144-152.
[WU L L, LI G C, ZHOU X S. Change of factor endowments and China agricultural growth path selection. China Population, Resources and Environment, 2015, 25(8): 144-152. ]
[8] 王艳飞, 刘彦随, 李裕瑞. 环渤海地区城镇化与农村协调发展的时空特征 [J]. 地理研究, 2015, 34(1): 122-130.
[WANG YF, LIU Y S, LI Y R. Spatial-temporal patterns of urbanization and rural development and their coordination in Bohai Rim region. Geographical Research, 2015, 34(1): 122-130. ]
[9] 姜会明, 王振华. 吉林省工业化、城镇化与农业现代化关系实证分析 [J]. 地理科学, 2012, 32(5): 591-595.
[JIANG H M, WANG Z H. Empirical analysis on the relationship among industrialization, urbanization and agricultural modernization in Jilin Province. Scientia Geographica Sinica, 2012, 32(5): 591-595. ]
[10] 刘颖, 许为. 都市农业可持续发展与农民增收互动机制的探讨 [J]. 中国人口·资源与环境, 2008, 18(4): 90-93.
[LIU Y, XU W. Interaction mechanism between sustainable development of urban agriculture and increase of peasants’ income. China Population, Resources and Environment, 2008, 18(4): 90-93. ]
[11] 李涛, 陶卓民, 刘锐, 等. 江苏省农业旅游发展演化研究 [J]. 自然资源学报, 2015, 30(8): 1391-1402.
[LI T, TAO Z M, LIU R, et al. Research on evolution of agritourism in Jiangsu Province. Journal of Natural Resources, 2015, 30(8): 1391-1402. ]
[12] 齐永忠, 于战平. 城乡一体化视角下的中国都市农业发展 [J]. 中国农村经济, 2006(3): 77-80.
[QI Y Z, YU Z P. The development of urban agriculture in China from the perspective of urban and rural integration. Chinese Rural Economy, 2006(3): 77-80. ]
[13] 万三敏. 河南粮食总产及农业经济发展关键因素分析——基于面板数据分析 [J]. 中国农业资源与区划, 2014, 35(3): 78-84.
[WAN S M. Factors of affecting Chinese orange production fluctuations and elasticity of supply and demand. Chinese Journal of Agricultural Resources and Regional Planning, 2014, 35(3): 78-84. ]
[14] 林大燕, 朱晶. 从供应弹性的视角看我国主要农作物种植结构变化原因 [J]. 农业技术经济, 2015(1): 33-41.
[LIN D Y, ZHU J. The reasons for the change of the main crop planting structure from the perspective of supply elasticity in China. Agritechnical Economics, 2015(1): 33-41. ]
[15] LAKKAKULA P, DIXON B L, THOMSEN M R, et al. Global rice trade competitiveness: A shift-share analysis [J]. Agricultural Economics, 2015, 46(5): 667-676.
[16] PIRZADA K, WICKRAMASINGHE D, MOENS G A, et al. A shift-share analysis on regional competitiveness—A case of Banyuwangi District, East Java, Indonesia [J]. Procedia—Social and Behavioral Sciences, 2015, 211: 738-744.
[17] GOSCHIN Z. Regional growth in Romania after its accession to EU: A shift-share analysis approach [J]. Procedia—Economics and Finance, 2014, 15: 169-175.
[18] ESTEBAN-MARQUILLAS J M I. A reinterpretation of shift-share analysis [J]. Regional and Urban Economics, 1972, 2(3): 249-255.
[19] 丁建军, 李峰, 黄利文. 连片特困区县域经济增长效应分解及空间特征分析——以武陵山片区为例 [J]. 经济地理, 2013, 33(2): 47-52.
[DING J J, LI F, HUANG L W. Spatial characteristics and decomposition of economic growth effect of contiguous destitute District: Take Wuling Mountain Area as example. Economic Geography, 2013, 33(2): 47-52. ]
[20] 狄乾斌, 张健, 涂文伟. 基于ESDA的中国生产性服务业地理集聚分析 [J]. 地理与地理信息科学, 2014, 30(3): 71-76.
[DI Q B, ZHANG J, TU W W. ESDA based geographical agglomeration analysis of producer services in China. Geography and Geo-Information Science, 2014, 30(3): 71-76. ]
[21] 黄金川, 孙贵艳, 闫梅, 等. 中国城市场强格局演化及空间自相关特征 [J]. 地理研究, 2012, 31(8): 1355-1364.
[HUANG J C, SUN G Y, YAN M, et al. The spatio-temporal evolution of urban field strength and pattern of autocorrelation among cities in China. Geographical Research, 2012, 31(8): 1355-1364. ]
[22] 孙芳, 刘明河, 刘立波. 京津冀农业协同发展区域比较优势分析 [J]. 中国农业资源与区划, 2015, 36(1): 63-70.
[SUN F, LIU M H, LIU L B. Analysis on region comparative advantage of agricultural synergetic development in the region of Beijing-Tianin-Hebei. Chinese Journal of Agricultural Resources and Regional Planning, 2015, 36(1): 63-70. ]
[23] 王成龙, 刘慧, 张梦天. 基于结构方程模型的京津冀城市用地行政边界效应分析 [J]. 自然资源学报, 2016, 31(7): 1127-1137.
[WANG C L, LIU H, ZHANG M T. The analysis of border effect of urban land based on structural equation modeling: A case study of Beijing-Tianjin-Hebei Agglomeration. Journal of Natural Resources, 2016, 31(7): 1127-1137. ]