需求因素对中国三次产业增长的影响研究
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摘要
本文以中国1981、1987、1992、1997、2002和2007年的投入产出数据为基础,编制这6年的非竞争型投入产出表,运用非竞争型投入产出模型研究各种需求因素对中国三次产业增长的影响。本文运用分配系数研究三次产业的中间需求结构和最终需求结构；在考虑产业完全关联作用的情况下,运用拉动系数研究三次产业的最终需求结构。通过与美国、日本和德国三次产业的市场需求结构进行比较,判断中国三次产业市场需求结构的可能变化趋势。本文还运用需求波动弹性测度市场需求波动对产业影响的大小。在回顾投入产出结构分解法的基础上,选择了蒙哥马利分解法作为定量研究需求因素对三次产业增长影响的研究方法。本文得出以下基本结论：
(1)分配系数反映了产业的市场需求结构,也反映了各种需求因素对产业的直接拉动作用。1981-2007年,中国三次产业的市场需求结构发生较大变化。中国第一产业、第二产业的中间需求率增加而最终需求率下降。2007年,中国第一产业中间需求率以较大幅度超过第一产业的最终需求率,表明中间需求对第一产业的直接拉动作用超过最终需求对第一产业的直接拉动作用；中国第二产业中间需求率也以较大幅度超过第二产业的最终需求率,表明中间需求对第二产业的直接拉动作用超过最终需求对第二产业的直接拉动作用。与第一产业、第二产业不同,中国第三产业的中间需求率与最终需求率虽然出现波动,但变化幅度相对较小。2007年,中国第三产业的中间需求率与最终需求率均接近0.5,表明中间需求和最终需求对第三产业的直接拉动作用基本持平。三次产业的细分产业表现出不同的需求结构,表明各种需求因素对不同产业的影响有差异；这要求针对不同的产业,制定不同的扩大需求的对策。在中国、美国、日本和德国4国中,2005年中国的经济总量最小,但中国第一产业的中间需求率和最终需求率处于中间位置,因此难以判断2005年以后中国第一产业中间需求率和最终需求率的走势。在中国、美国、日本和德国4国中,中国第二产业的中间需求率最高而最终需求率最低,中国第二产业的中间需求率可能下降而最终需求率可能上升。在中国、美国、日本和德国4国中,中国第三产业的中间需求率最高而最终需求率最低,中国第三产业的中间需求率可能下降而最终需求率可能上升。
(2)拉动系数考虑了产业间的完全关联作用,反映了最终需求对三次产业完全拉动作用的大小。在“三驾马车”中,消费需求对中国第一产业的拉动系数高于资本形成需求对中国第一产业的拉动系数,后者高于出口需求对中国第一产业的拉动系数。消费需求对中国第一产业的拉动系数呈下降走势；资本形成需求、出口需求对中国第一产业的拉动系数呈上升走势。比较2005年“三驾马车”对中国、美国、日本和德国第一产业的拉动系数可知,消费需求、资本形成需求和出口需求对中国第一产业的拉动系数均处于居中的位置,难以判断2005年以后消费需求、资本形成需求和出口需求对中国第一产业拉动系数的变化趋势。
(3)在“三驾马车”中,1981年消费需求对中国第二产业的拉动系数最高,但1981-2007年持续下降,2007年消费需求对中国第二产业的拉动系数在“三驾马车”对中国第二产业的拉动系数中最低。1981年资本形成需求对中国第二产业的拉动系数在“三驾马车”对中国第二产业的拉动系数中居中,1981-2007年经历了小幅波动,2007年资本形成需求对中国第二产业的拉动系数在“三驾马车”对中国第二产业的拉动系数中最高。1981年出口需求对中国第二产业的拉动系数在“三驾马车”对中国第二产业的拉动系数中最低,但1981-2007年呈上升走势,2007年出口需求对中国第二产业的拉动系数在“三驾马车”对中国第二产业的拉动系数中居中。比较2005年中国、美国、日本和德国“三驾马车”对第二产业的拉动系数可知,消费需求对中国第二产业的拉动系数最低,资本形成需求对中国第二产业的拉动系数最高,而出口需求对中国第二产业的拉动系数居中。消费需求对中国第二产业的拉动系数可能上升,资本形成需求对中国第二产业的拉动系数可能下降,但出口需求对中国第二产业拉动系数的变化趋势难以判断。
(4)在“三驾马车”中,消费需求对中国第三产业的拉动系数最高,但1981-2007年持续下降。1981年资本形成需求对中国第三产业的拉动系数高于出口需求对中国第三产业的拉动系数,1981-2007年,资本形成需求对中国第三产业的拉动系数小幅波动,但出口需求对中国第三产业的拉动系数持续上升,2007年资本形成需求对中国第三产业的拉动系数低于出口需求对中国第三产业的拉动系数。比较2005年“三驾马车”对中国、美国、日本和德国第三产业的拉动系数可知,消费需求对中国第三产业的拉动系数最低,但资本形成需求和出口需求对中国第三产业的拉动系数最高。消费需求对中国第三产业的拉动系数可能上升,而资本形成需求和出口需求对第三产业的拉动系数可能下降。
(5)市场需求、增加值率、价格的变动都会影响三次产业的增长,其中市场需求因素对三次产业增长的影响占主导作用。中国第一产业的增长主要得益于第一产业中间需求的增加,尤其是第二产业对第一产业中间需求的增加；而第一产业最终需求增加对第一产业增长的直接拉动作用相对较小。第二产业的快速增长得益于第二产业的中间需求和最终需求都大幅度增加,尤其是中间需求增加的幅度更大。在中间需求中,第二产业对第二产业自身的需求是拉动第二产业增长的关键因素；在最终需求中,资本形成需求、出口需求是拉动第二产业增长的关键因素。第三产业的较快增长也得益于中间需求和最终需求都以较大幅度增加。在中间需求中,第二产业对第三产业的需求、第三产业对第三产业自身的需求是拉动第三产业增长的关键因素；在最终需求中,消费需求是拉动第三产业增长的关键因素。
本文建议,在制定扩大需求的对策时,应充分重视产业间的关联作用,通过发挥产业间的关联作用带动相关产业的发展；同时应充分重视不同产业的需求结构特征,有针对性地制定扩大需求、促进三次产业协调发展的对策。
本文的主要创新点是：
(1)定量研究各种需求因素对中国三次产业增长的影响,这些需求因素不仅包括最终需求因素,还包括中间需求因素。
(2)证明运用竞争型投入产出模型进行完全后向关联分析暗含严格假设条件,而运用非竞争型投入产出模型进行完全后向关联分析不受该假设条件的限制。
(3)运用当年价投入产出表测度各种因素对产业实际增长的影响。本文没有把历年的投入产出表转换为可比价投入产出表,而是在当年价投入产出表的基础上,借助价格指数测度了各种需求因素对产业实际增长的影响。
Based on input output tables of china, this dissertation compiles china's non-competitive input output tables of the year 1981,1987,1992,1997,2002 and 2007. The non-competitive input output model is used to analyze the contribution of the demand factors to the growth of the three strata of industry. The dissertation utilizes the allocation coefficient to analyze the demand structure of the three strata of industry. The demand structure includes the intermediate demand structure and the final demand structure. The dissertation also uses the pull coefficient to analyze final demand structure. The final demand structure calculated with allocation coefficients does not consider industrial linkage, but the final demand structure calculated with pull coefficients considers industrial linkage. The dissertation also puts forward demand fluctuation elasticity to calculate the influence of final demand fluctuation on industry. Montgomery decomposition method, which is a newly developed input output decomposition method, is used in this dissertation to analyze the contribution of factors influencing the growth of the three strata of industry. The main conclusions of this dissertation are as follows:
(1) From 1981 to 2007, the demand structure of china's three strata of industry has a lot of change. The intermediate demand rates of primary industry and secondary industry increase dramatically, while the final demand rates of primary industry and secondary industry decrease dramatically. In 2007, the direct pull effect of intermediate demand at the primary industry surpasses the direct pull effect of final demand at the primary industry; the direct pull effect of intermediate demand at the secondary industry surpasses the direct pull effect of final demand at the secondary industry. Compared with the primary industry and the secondary industry, the intermediate demand rate of the tertiary industry changes more slowly, so does the final demand rate of the tertiary industry. From 1981 to 2007, the structure of intermediate demand of the three strata of industry has a lot of change, so does the structure of final demand of the three strata of industry. More specifically, the subdivision of the three strata of industry has different intermediate demand structure and final demand structure. Compared with the demand structure of the United States, Japan, and Germany, the intermediate demand rate of the primary industry of China is in the middle, the final demand rate of the primary industry of China is also in the middle. Compared with the demand structure of the United States, Japan, Germany, the intermediate demand rate of the secondary industry of China is the highest, and the final demand rate of the secondary industry of China is the lowest. So the intermediate demand rate of the secondary industry of China is likely to decrease, while the final demand rate of the secondary industry of China is likely to increase. Compared with the demand structure of the United States, Japan, Germany, the intermediate demand rate of the tertiary industry of China is the highest, and the final demand rate of the tertiary of China is the lowest. So the intermediate demand rate of the tertiary industry of China is likely to fall, while the final demand rate of the tertiary industry is likely to rise.
(2) The pull coefficient of consumption demand at the primary industry is much higher than the pull coefficient of capital formation demand at the primary industry; the latter is much higher than the pull coefficient of export demand at the primary industry. From 1981 to 2007, the pull coefficient of consumption demand at the primary industry had been decreasing, while the pull coefficients of capital formation demand and export demand at the primary industry had been increasing. Compared with the pull coefficient of final demand at the primary industry of the United States, Japan and Germany, the pull coefficients of consumption demand, capital formation demand and export demand at the primary industry of China are all in the middle.
(3) In 1981, the pull coefficient of consumption demand at the secondary industry of China is much higher than the pull coefficient of capital formation demand at the secondary industry of China; the latter is much higher than the pull coefficient of export demand at the secondary industry. In 2007, the pull coefficient of capital formation demand at the secondary industry of China is much higher than the pull coefficient of export demand at the secondary industry of China; the latter is much higher than the pull coefficient of consumption demand at the secondary industry. Compared with the pull coefficient of final demand at the secondary industry of the United States, Japan and Germany, the pull coefficient of consumption demand at the secondary industry of China is the lowest, the pull coefficient of the capital formation demand at the secondary industry of China is the highest, while the pull coefficient of the export demand at the secondary industry of China is in the middle.
(4) In 1981, the pull coefficient of consumption demand at the tertiary industry of China is much higher than the pull coefficient of capital formation demand at the tertiary industry of China; the latter is much higher than the pull coefficient of export demand at the tertiary industry of China. From 1981 to 2007, the pull coefficient of consumption demand at the tertiary industry had been decreasing, while the pull coefficient of export demand at the tertiary industry had been increasing. In 2007, the pull coefficient of consumption demand at the tertiary industry of China is also much higher than the pull coefficient of export demand at the tertiary industry of China; the latter is also much higher than the pull coefficient of capital formation demand at the tertiary industry of China. Compared with the pull coefficient of final demand at the tertiary industry of the United States, Japan and Germany, the pull coefficient of consumption demand at the tertiary industry of China is the lowest, while the pull coefficient of capital formation demand and export demand at the tertiary industry is the highest. Generally speaking, the pull coefficient of consumption demand at the tertiary industry of China is likely to rise, while the pull coefficient of capital formation demand and export demand at the tertiary industry is likely to fall.
(5) Demand, price as well as the rate of value added to total input of industry are factors influencing the growth of industry. Of the three kinds of factors, demand is the most important factor that dominates industrial growth. Growth of the primary industry in China mainly benefited from the enlargement of intermediate demand, especially the intermediate demand from the secondary industry. Compared with the intermediate demand, the contribution from the final demand at the growth of the primary industry of China is relatively small. Fast growth of the secondary industry benefited both from the substantial enlargement of intermediate demand and the final demand, especially from the intermediate demand expansion from the secondary industry and from the capital formation demand enlargement and the export demand enlargement. Fast growth of the tertiary industry also benefited both from the intermediate demand enlargement and the final demand enlargement, especially from the intermediate demand enlargement from the secondary industry and the tertiary industry, and from the consumption demand enlargement. Generally speaking, the intermediate demands from the secondary industry are vital forces that pull the three strata of industry, the capital formation demand and export demand are vital forces that pull the secondary industry, and the consumption demand is the vital force that pulls the tertiary industry.
The dissertation puts forward some suggestions about demand enlargement to give impetus to the balanced growth of the three strata of industry. The dissertation emphasizes that industrial linkage as well as the demand structure of different industries should be paid much attention when making policies of demand enlargement.
The main innovation points in this dissertation are as follows:
(1) This dissertation quantitatively analyzes the influence of different demand factors to the growth of the three strata of industry. Demand factors include the intermediate demand from the three strata of industry as well as the final demand, which contains the consumption demand, the capital formation demand and the export demand.
(2) This dissertation proves that implicit hypothesis exists when choosing the competitive input output table to make total backward industrial linkage analysis. It does not have to satisfy the conditions when choosing the non-competitive input output table to make total backward industrial linkage analysis.
(3) This dissertation does not use the constant prices input output tables to analyze the factors influencing actual growth of the three strata of industry, as the compiling of constant prices input output table is rather a hard work. With the price indexes of the three strata of industry, this dissertation chooses the current prices input output tables to analyze the factors influencing actual growth of the three strata of industry.
(1)分配系数反映了产业的市场需求结构,也反映了各种需求因素对产业的直接拉动作用。1981-2007年,中国三次产业的市场需求结构发生较大变化。中国第一产业、第二产业的中间需求率增加而最终需求率下降。2007年,中国第一产业中间需求率以较大幅度超过第一产业的最终需求率,表明中间需求对第一产业的直接拉动作用超过最终需求对第一产业的直接拉动作用；中国第二产业中间需求率也以较大幅度超过第二产业的最终需求率,表明中间需求对第二产业的直接拉动作用超过最终需求对第二产业的直接拉动作用。与第一产业、第二产业不同,中国第三产业的中间需求率与最终需求率虽然出现波动,但变化幅度相对较小。2007年,中国第三产业的中间需求率与最终需求率均接近0.5,表明中间需求和最终需求对第三产业的直接拉动作用基本持平。三次产业的细分产业表现出不同的需求结构,表明各种需求因素对不同产业的影响有差异；这要求针对不同的产业,制定不同的扩大需求的对策。在中国、美国、日本和德国4国中,2005年中国的经济总量最小,但中国第一产业的中间需求率和最终需求率处于中间位置,因此难以判断2005年以后中国第一产业中间需求率和最终需求率的走势。在中国、美国、日本和德国4国中,中国第二产业的中间需求率最高而最终需求率最低,中国第二产业的中间需求率可能下降而最终需求率可能上升。在中国、美国、日本和德国4国中,中国第三产业的中间需求率最高而最终需求率最低,中国第三产业的中间需求率可能下降而最终需求率可能上升。
(2)拉动系数考虑了产业间的完全关联作用,反映了最终需求对三次产业完全拉动作用的大小。在“三驾马车”中,消费需求对中国第一产业的拉动系数高于资本形成需求对中国第一产业的拉动系数,后者高于出口需求对中国第一产业的拉动系数。消费需求对中国第一产业的拉动系数呈下降走势；资本形成需求、出口需求对中国第一产业的拉动系数呈上升走势。比较2005年“三驾马车”对中国、美国、日本和德国第一产业的拉动系数可知,消费需求、资本形成需求和出口需求对中国第一产业的拉动系数均处于居中的位置,难以判断2005年以后消费需求、资本形成需求和出口需求对中国第一产业拉动系数的变化趋势。
(3)在“三驾马车”中,1981年消费需求对中国第二产业的拉动系数最高,但1981-2007年持续下降,2007年消费需求对中国第二产业的拉动系数在“三驾马车”对中国第二产业的拉动系数中最低。1981年资本形成需求对中国第二产业的拉动系数在“三驾马车”对中国第二产业的拉动系数中居中,1981-2007年经历了小幅波动,2007年资本形成需求对中国第二产业的拉动系数在“三驾马车”对中国第二产业的拉动系数中最高。1981年出口需求对中国第二产业的拉动系数在“三驾马车”对中国第二产业的拉动系数中最低,但1981-2007年呈上升走势,2007年出口需求对中国第二产业的拉动系数在“三驾马车”对中国第二产业的拉动系数中居中。比较2005年中国、美国、日本和德国“三驾马车”对第二产业的拉动系数可知,消费需求对中国第二产业的拉动系数最低,资本形成需求对中国第二产业的拉动系数最高,而出口需求对中国第二产业的拉动系数居中。消费需求对中国第二产业的拉动系数可能上升,资本形成需求对中国第二产业的拉动系数可能下降,但出口需求对中国第二产业拉动系数的变化趋势难以判断。
(4)在“三驾马车”中,消费需求对中国第三产业的拉动系数最高,但1981-2007年持续下降。1981年资本形成需求对中国第三产业的拉动系数高于出口需求对中国第三产业的拉动系数,1981-2007年,资本形成需求对中国第三产业的拉动系数小幅波动,但出口需求对中国第三产业的拉动系数持续上升,2007年资本形成需求对中国第三产业的拉动系数低于出口需求对中国第三产业的拉动系数。比较2005年“三驾马车”对中国、美国、日本和德国第三产业的拉动系数可知,消费需求对中国第三产业的拉动系数最低,但资本形成需求和出口需求对中国第三产业的拉动系数最高。消费需求对中国第三产业的拉动系数可能上升,而资本形成需求和出口需求对第三产业的拉动系数可能下降。
(5)市场需求、增加值率、价格的变动都会影响三次产业的增长,其中市场需求因素对三次产业增长的影响占主导作用。中国第一产业的增长主要得益于第一产业中间需求的增加,尤其是第二产业对第一产业中间需求的增加；而第一产业最终需求增加对第一产业增长的直接拉动作用相对较小。第二产业的快速增长得益于第二产业的中间需求和最终需求都大幅度增加,尤其是中间需求增加的幅度更大。在中间需求中,第二产业对第二产业自身的需求是拉动第二产业增长的关键因素；在最终需求中,资本形成需求、出口需求是拉动第二产业增长的关键因素。第三产业的较快增长也得益于中间需求和最终需求都以较大幅度增加。在中间需求中,第二产业对第三产业的需求、第三产业对第三产业自身的需求是拉动第三产业增长的关键因素；在最终需求中,消费需求是拉动第三产业增长的关键因素。
本文建议,在制定扩大需求的对策时,应充分重视产业间的关联作用,通过发挥产业间的关联作用带动相关产业的发展；同时应充分重视不同产业的需求结构特征,有针对性地制定扩大需求、促进三次产业协调发展的对策。
本文的主要创新点是：
(1)定量研究各种需求因素对中国三次产业增长的影响,这些需求因素不仅包括最终需求因素,还包括中间需求因素。
(2)证明运用竞争型投入产出模型进行完全后向关联分析暗含严格假设条件,而运用非竞争型投入产出模型进行完全后向关联分析不受该假设条件的限制。
(3)运用当年价投入产出表测度各种因素对产业实际增长的影响。本文没有把历年的投入产出表转换为可比价投入产出表,而是在当年价投入产出表的基础上,借助价格指数测度了各种需求因素对产业实际增长的影响。
Based on input output tables of china, this dissertation compiles china's non-competitive input output tables of the year 1981,1987,1992,1997,2002 and 2007. The non-competitive input output model is used to analyze the contribution of the demand factors to the growth of the three strata of industry. The dissertation utilizes the allocation coefficient to analyze the demand structure of the three strata of industry. The demand structure includes the intermediate demand structure and the final demand structure. The dissertation also uses the pull coefficient to analyze final demand structure. The final demand structure calculated with allocation coefficients does not consider industrial linkage, but the final demand structure calculated with pull coefficients considers industrial linkage. The dissertation also puts forward demand fluctuation elasticity to calculate the influence of final demand fluctuation on industry. Montgomery decomposition method, which is a newly developed input output decomposition method, is used in this dissertation to analyze the contribution of factors influencing the growth of the three strata of industry. The main conclusions of this dissertation are as follows:
(1) From 1981 to 2007, the demand structure of china's three strata of industry has a lot of change. The intermediate demand rates of primary industry and secondary industry increase dramatically, while the final demand rates of primary industry and secondary industry decrease dramatically. In 2007, the direct pull effect of intermediate demand at the primary industry surpasses the direct pull effect of final demand at the primary industry; the direct pull effect of intermediate demand at the secondary industry surpasses the direct pull effect of final demand at the secondary industry. Compared with the primary industry and the secondary industry, the intermediate demand rate of the tertiary industry changes more slowly, so does the final demand rate of the tertiary industry. From 1981 to 2007, the structure of intermediate demand of the three strata of industry has a lot of change, so does the structure of final demand of the three strata of industry. More specifically, the subdivision of the three strata of industry has different intermediate demand structure and final demand structure. Compared with the demand structure of the United States, Japan, and Germany, the intermediate demand rate of the primary industry of China is in the middle, the final demand rate of the primary industry of China is also in the middle. Compared with the demand structure of the United States, Japan, Germany, the intermediate demand rate of the secondary industry of China is the highest, and the final demand rate of the secondary industry of China is the lowest. So the intermediate demand rate of the secondary industry of China is likely to decrease, while the final demand rate of the secondary industry of China is likely to increase. Compared with the demand structure of the United States, Japan, Germany, the intermediate demand rate of the tertiary industry of China is the highest, and the final demand rate of the tertiary of China is the lowest. So the intermediate demand rate of the tertiary industry of China is likely to fall, while the final demand rate of the tertiary industry is likely to rise.
(2) The pull coefficient of consumption demand at the primary industry is much higher than the pull coefficient of capital formation demand at the primary industry; the latter is much higher than the pull coefficient of export demand at the primary industry. From 1981 to 2007, the pull coefficient of consumption demand at the primary industry had been decreasing, while the pull coefficients of capital formation demand and export demand at the primary industry had been increasing. Compared with the pull coefficient of final demand at the primary industry of the United States, Japan and Germany, the pull coefficients of consumption demand, capital formation demand and export demand at the primary industry of China are all in the middle.
(3) In 1981, the pull coefficient of consumption demand at the secondary industry of China is much higher than the pull coefficient of capital formation demand at the secondary industry of China; the latter is much higher than the pull coefficient of export demand at the secondary industry. In 2007, the pull coefficient of capital formation demand at the secondary industry of China is much higher than the pull coefficient of export demand at the secondary industry of China; the latter is much higher than the pull coefficient of consumption demand at the secondary industry. Compared with the pull coefficient of final demand at the secondary industry of the United States, Japan and Germany, the pull coefficient of consumption demand at the secondary industry of China is the lowest, the pull coefficient of the capital formation demand at the secondary industry of China is the highest, while the pull coefficient of the export demand at the secondary industry of China is in the middle.
(4) In 1981, the pull coefficient of consumption demand at the tertiary industry of China is much higher than the pull coefficient of capital formation demand at the tertiary industry of China; the latter is much higher than the pull coefficient of export demand at the tertiary industry of China. From 1981 to 2007, the pull coefficient of consumption demand at the tertiary industry had been decreasing, while the pull coefficient of export demand at the tertiary industry had been increasing. In 2007, the pull coefficient of consumption demand at the tertiary industry of China is also much higher than the pull coefficient of export demand at the tertiary industry of China; the latter is also much higher than the pull coefficient of capital formation demand at the tertiary industry of China. Compared with the pull coefficient of final demand at the tertiary industry of the United States, Japan and Germany, the pull coefficient of consumption demand at the tertiary industry of China is the lowest, while the pull coefficient of capital formation demand and export demand at the tertiary industry is the highest. Generally speaking, the pull coefficient of consumption demand at the tertiary industry of China is likely to rise, while the pull coefficient of capital formation demand and export demand at the tertiary industry is likely to fall.
(5) Demand, price as well as the rate of value added to total input of industry are factors influencing the growth of industry. Of the three kinds of factors, demand is the most important factor that dominates industrial growth. Growth of the primary industry in China mainly benefited from the enlargement of intermediate demand, especially the intermediate demand from the secondary industry. Compared with the intermediate demand, the contribution from the final demand at the growth of the primary industry of China is relatively small. Fast growth of the secondary industry benefited both from the substantial enlargement of intermediate demand and the final demand, especially from the intermediate demand expansion from the secondary industry and from the capital formation demand enlargement and the export demand enlargement. Fast growth of the tertiary industry also benefited both from the intermediate demand enlargement and the final demand enlargement, especially from the intermediate demand enlargement from the secondary industry and the tertiary industry, and from the consumption demand enlargement. Generally speaking, the intermediate demands from the secondary industry are vital forces that pull the three strata of industry, the capital formation demand and export demand are vital forces that pull the secondary industry, and the consumption demand is the vital force that pulls the tertiary industry.
The dissertation puts forward some suggestions about demand enlargement to give impetus to the balanced growth of the three strata of industry. The dissertation emphasizes that industrial linkage as well as the demand structure of different industries should be paid much attention when making policies of demand enlargement.
The main innovation points in this dissertation are as follows:
(1) This dissertation quantitatively analyzes the influence of different demand factors to the growth of the three strata of industry. Demand factors include the intermediate demand from the three strata of industry as well as the final demand, which contains the consumption demand, the capital formation demand and the export demand.
(2) This dissertation proves that implicit hypothesis exists when choosing the competitive input output table to make total backward industrial linkage analysis. It does not have to satisfy the conditions when choosing the non-competitive input output table to make total backward industrial linkage analysis.
(3) This dissertation does not use the constant prices input output tables to analyze the factors influencing actual growth of the three strata of industry, as the compiling of constant prices input output table is rather a hard work. With the price indexes of the three strata of industry, this dissertation chooses the current prices input output tables to analyze the factors influencing actual growth of the three strata of industry.
引文
北京大学中国国民经济核算与经济增长研究中心,2008：《中国经济增长报告(2008)——经济结构与可持续发展》,中国经济出版社。
薄文广,2007:《外部性与产业增长——来自中国省级面板数据的研究》,《中国工业经济》第1期。
陈锡康,2002：《中国1995年对外贸易投入占用产出表及其应用》,载于《中国投入产出理论与实践2001》,中国统计出版社。
程大中,2003：《中国服务业的增长与技术进步》,《世界经济》第7期。
段志刚、李善同、王其文,2006：《中国投入产出表中投入系数变化的分析》,《中国软科学》第8期。
高敏雪、李静萍、许健,2007：《国民经济核算原理与中国实践》(第二版),中国人民大学出版社。
顾湘、王铁成等,2006：《工业行业土地集约利用与产业结构调整研究——以江苏省为例》,《中国土地科学》第6期。
国家统计局“我国利用外资与外商投资企业研究”课题组,2006：《外商投资企业发展对我国经济结构产业技术进步的影响》,《中国经贸导刊》第8期。
国家统计局国民经济核算司,2000：《中国1997年投入产出表》,中国统计出版社。
国家统计局国民经济核算司,2005：《中国2002年投入产出表编制方法》,中国统计出版社。
国家统计局国民经济核算司,2006：《中国2002年投入产出表》,中国统计出版社。
国家统计局国民经济核算司,2009：《中国2007年投入产出表》,中国统计出版社。
国家统计局统计设计管理司,2003：《<三次产业划分规定>简介》,《中国统计》第11期。
国务院发展研究中心“我国生产性服务业发展的前景、体制和政策研究”课题组,2010：《制约我国生产性服务业发展的障碍性因素》(国研专稿),http://www.drcnet.com.cn。
黄玖立、冼国明,2009：《人力资本与中国省区的产业增长》,《世界经济》第5期。
黄伟、张阿玲、张晓华,2005：《我国区域间GDP增长根源的实证研究——基于地区间投入产出表的试算》,《财贸研究》第5期。
蒋殿春、黄静,2007：《外商直接投资与我国产业内技术二元结构——基于DEA方法的证据》,《数量经济技术经济研究》第7期。
蒋殿春、夏良科,2005：《外商直接投资对中国高技术产业技术创新作用的经验分析》,《世界经济》第8期。
孔祥斌、张凤荣等,2005：《区域土地利用与产业结构变化互动关系研究》,《资源科学》第2期。
李景华,2009：《列结构分解分析模型》,《系统工程理论与实践》第6期。
李平、随洪光,2007：《知识产权保护对外商直接投资溢出效应影响的研究——基于中国高技术产业的实证分析》,《经济评论》第6期。
李强、薛天栋,1998：《中国经济发展部门分析：兼新编可比价投入产出序列表》,中国统计出版社。
,李悦等,2008：《产业经济学》,中国人民大学出版社。
林民书、杨治国,2006：《外来投资与内资企业产业扩散效果分析》,《当代经济研究》第2期。
刘克逸,2002：《人力资本与我国产业国际竞争力的提高》,《复旦学报》(社会科学版)第3期。
刘起运,2002：《关于投入产出系数结构分析方法的研究》,《统计研究》年第2期。
刘仕强、顾国章,2006：《基于时变随机前沿生产函数的上海工业增长因素分析》,《南方经济》第12期。
刘水杏,2004：《房地产业与相关产业关联度的国际比较》,《财贸经济》 第4期。
刘伟、张辉,2008：《中国经济增长中的产业结构变迁和技术进步》,《经济研究》第11期。
刘玉铭、刘伟,2007：《土地制度、科技进步与农业增长——以1952—2005年黑龙江垦区农业生产为例》,《经济科学》第2期。
刘遵义、陈锡康等,2007：《非竞争型投入占用产出模型及其应用——中美贸易顺差透视》,《中国社会科学》第5期。
卢荻,2003：《外商投资与中国经济发展——产业和区域分析证据》,《经济研究》第9期。
毛振强、左玉强,2007：《土地投入对中国二三产业发展贡献的定量研究》,《中国土地科学》第3期。
裴长洪,2006：《吸收外商直接投资与产业结构优化升级——“十一五”时期利用外资政策目标的思考》,《中国工业经济》第1期。
齐兰,2009：《垄断资本全球化对中国产业发展的影响》,《中国社会科学》第2期。
齐舒畅,2003：《我国投入产出表的编制和应用情况简介》,《中国统计》第5期。
齐舒畅、王飞、张亚雄,2008：《我国非竞争型投入产出表编制及其应用分析》,《统计研究》第5期。
乔榛、焦方义、李楠,2006：《中国农村经济制度变迁与农业增长——对1978-2004年中国农业增长的实证分析》,《经济研究》第7期。
沈利生,2009：《“三驾马车”的拉动作用评估》,《数量经济技术经济研究》第4期。
沈利生,2010：《重新审视传统的影响力系数公式——评影响力系数公式的两个缺陷》,《数量经济技术经济研究》第2期。
沈利生、吴振宇,2004：《外贸对经济增长贡献的定量分析》,《吉林大学社会科学学报》第4期。
王洪庆,2006：《外商直接投资对我国产业内贸易的影响》,《上海交通大学学报》第4期。
王火根,沈利生,2008：《能耗降低的主要影响因素分析——基于结构分 解技术的投入产出法实证检验》,《科技进步与对策》第2期。
王秀清,1999：《中国农业增长(1981-1995年)：需求角度的分析》,《中国农村经济》第5期。
文东伟、冼国明、马静,2009：《FDI、产业结构变迁与中国的出口竞争力》,《管理世界》第4期。
夏炎、杨翠红、陈锡康,2009：《基于可比价投入产出表分解我国能源强度影响因素》,《系统工程理论与实践》第10期。
冼国明、博文广,2005：《外国直接投资对中国企业技术创新作用的影响——基于产业层面的分析》,《南开经济研究》第6期。
严兵,2005：《外商在华直接投资的溢出效应——基于产业层面的分析》,《世界经济研究》第3期。
杨灿,2008：《国民经济统计学——国民经济核算原理》,科学出版社。
张军、陈诗一、Jefferson, G.H.,2009:《结构改革与中国工业增长》,《经济研究》第7期。
张若雪,2010：《人力资本、技术采用与产业结构升级》,《财经科学》第2期。
张淑娟,2007：《东北老工业基地产业结构演进中FDI因素的分析与比较》,《财贸经济》第8期。
张友国,2009a：《中国贸易增长的能源环境代价》,《数量经济技术经济研究》第1期。
张友国,2009b：《需求模式变化的环境影响》,《统计研究》第7期。
张宇、蒋殿春,2008：《FDI、产业集聚与产业技术进步——基于中国制造行业数据的实证检验》,《财经研究》第1期。
赵红、张茜,2006：《外商直接投资对中国产业结构影响的实证研究》,《国际贸易问题》第8期。
赵晓丽、洪东悦,2009：《中国对外贸易对能源消费的影响：基于结构因,素分解法的分析》,《财贸经济》第9期。
中国投入产出学会课题组,2006:《我国目前产业关联度分析——2002年投入产出表系列分析报告之一》,《统计研究》第11期。
中国投入产出学会课题组,2007：《我国能源部门产业关联分析——2002 年投入产出表系列分析报告之六》,《统计研究》第5期。
中华人民共和国国家统计局,2009：《中国统计年鉴2009》,中国统计出版社。
朱玲,2004：《西藏经贸改革中的民间投资与产业深化》,《中国工业经济》第1期。
朱玉春、郭江,2006：《中国农业乡镇企业的技术进步及其与农业增长的相关分析》,《中国农村经济》第11期。
朱钟棣、鲍晓华,2004：《反倾销措施对产业的关联影响——反倾销税价格效应的投入产出分析》,《经济研究》第1期。
Andreosso-O'Callaghan, B., Yue, G.,2002, "Sources of output change in China:1987-1997:application of a structural decomposition analysis", Applied Economics,34(17):2227-2237.
Andreosso-O'Callaghan, B., Yue, G,2004, "Intersectoral Linkages arid Key Sectors in China,1987-1997", Asian Economic Journal,18(2):166-183.
Ang, B. W.,2004, "Decomposition analysis for policymaking in energy: which is the preferred method", Energy Policy,32:1131-1139.
Ang, B. W., Huang, H. C., sMu, A.R.,2009, "Properties and linkages of some index decomposition analysis methods", Energy Policy,37(11): 4625-4632.
Bohlin, J.,2007, "Structural Change in the Swedish economy in the late nineteenth and early twentieth century-The role of import substitution and export demand", Goteborg Papers in Economic History. No.8., http://guoa.ub.gu.se/dspace/bitstream/2077/3105/1/gunhis08.pdf.
Bon, R.,2001, "Comparative Stability Analysis of Demand-Side and Supply-Side Input-Output Models:Toward an Index of Economic'Maturity'", in"Input-output analysis:Frontiers and extensions", Palgrave Macmillan, UK, 338-348.
Cai, J., Leung, P.,2004, "Linkage Measures:A Revisit and a Suggested Alternative", Economic Systems Research,16(1):66-85.
Chen X., Guo J.,2000, "China Economic Structure and SDA Model", Journal of Systems Science and Systems Engineering,9(2):142-148.
Chenery, H., Shishido, S., Watanabe, T.,1962, "The Pattern of Japanese Growth,1915-1954", Ecomometra,30(1):98-139.
Chenery, H. B., Watanabe, T.,1958, "International Comparisons of the Structure of Production International Comparisons of the Structure of Production", Econometrica,26(4):487-521.
De Boer, P.,2008, "Additive Structural Decomposition Analysis and Index Number Theory:An Empirical Application of the Montgomery Decomposition", Economic Systems Research,20(1):97-109.
De Haan, M.,2001, "A Structural Decomposition Analysis of Pollution in the Netherlands", Economic Systems Research,13(2):181-196.
De Nooij, M., Van Der Kruk, R., Van Soest, D. P.,2003, "International comparisons of domestic energy consumption", Energy Economics,25(4): 359-373.
Deidda, L., Fattouh, B.,2005, "Concentration in the Banking Industry and Economic Growth", Macroeconomic Dynamics,9(2):198-219.
Dietzenbacher, E., Hoen, A. R.,2006, "Coefficient stability and predictability in input-output models:a comparative analysis for the Netherlands", Construction Management and Economics,1466-433X,24(7):671-680.
Dietzenbacher, E., Los, B.,1998, "Structural Decomposition Techniques: Sense and Sensitivity", Economic Systems Research,10(4):307-323.
Dietzenbacher, E., Luna, I. R., Bosma, N. S.,2005, "Using Average Propagation Lengths to Identify Production Chains in the Andalusian Economy", Estudios de Economia Aplicada,23(2):405-422.
Dietzenbacher, E., Romero, I.,2007, "Production Chains in an Interregional Framework:Identification by Means of Average Propagation Lengths", International Regional Science Review,30(4):362-383.
Feldman, S. J., McClain, D., Palmer, K.,1987, "Sources of Structural Change in the United States,1963-78:An Input-Output Perspective", The Review of Economics and Statistics,69(3):504-510.
Gokcekus, O., Anyane-Ntow, K., Richmond, T. R.,2001, "Human Capital and Efficiency:The Role of Education and Experience in Micro-enterprises of Ghana's Wood-Products Industry", Journal of Economic Development,26(1): 103-113.
Gort, M., Sung, N.,1999, "Competition and Productivity Growth:The Case of the U.S. Telephone Industry", Economic Inquiry,37(4):678-691.
Hirschman A. O.,1958, "The Strategy of Economic Development", Yale University Press, New Haven.
Hitomi, K., Oikuyama, Y., Hewings, G J. D., Sonis, M.,2000, "The Role of Interregional Trade in Generating Change in the Regional Economies of Japan, 1980-1990", Economic Systems Research,12(4):516-537.
Jacob, J.,2005, "Late Industrialization and Structural Change:Indonesia, 1976-2000", Oxford Development Studies, Sep-Dec,33(3-4):427-451.
Jacobsen, H, K.,2000, "Energy Demand, Structural Change and Trade:A Decomposition Analysis of the Danish Manufacturing Industry", Economic Systems Research,12(3):319-343.
Leontief, W. W.,1936, "Quantitative Input and Output Relations in the Economic Systems of the United States", The Review of Economics and Statistics, 18(3):105-125.
Liu, A., Saal, D. S.,2001,"Structural Change in Apartheid-era South Africa: 1976-93", Economic Systems Research,13(3):236-257.
Ma C.,2010, "Account for sector heterogeneity in China's energy consumption:Sector price indices vs. GDP deflator", Energy Economics,32(1): 25-29.
Munksgaard, J., Pedersen, K. A., Wien, M.,2000, "Impact of household consumption on CO2 emissions", Energy Economics,22:423-440.
Oh, I., Wehrmeyer, W., Mulugetta, Y.,2010, "Decomposition analysis and mitigation strategies of CO2 emissions from energy consumption in South Korea", Energy Policy,38(1):365-377.
Peters, G. P., Weber, C. L., Guan, D., Hubacek, K.,2007, "China's Growing CO2 Emissions—A Race between Increasing Consumption and Efficiency Gains", Environmental Science & Technology,41(17):5939-5944.
Rose, A., Casler, S.,1996, "Input-Output Structural Decomposition Analysis:A Critical Appraisal", Economic Systems Research,8(1):33-62.
Weber, C. L.,2009, "Measuring structural change and energy use: Decomposition of the US economy from 1997 to 2002", Energy Policy,37(4): 1561-1570.
Yan,Y, Yang, L.,2010, "China's foreign trade and climate change:A case study of CO2 emissions", Energy Policy,38(1):350-356
Zhang, Y.,2009, "Structural Decomposition Analysis of Sources of Decarbonizing Economic Development in China:1993-2006", Ecological Economics,68(8-9):2399-2405.
Zhang, Y.,2010, "Supply-side structural effect on carbon emissions in China", Energy Economics,32(1):187-193.
薄文广,2007:《外部性与产业增长——来自中国省级面板数据的研究》,《中国工业经济》第1期。
陈锡康,2002：《中国1995年对外贸易投入占用产出表及其应用》,载于《中国投入产出理论与实践2001》,中国统计出版社。
程大中,2003：《中国服务业的增长与技术进步》,《世界经济》第7期。
段志刚、李善同、王其文,2006：《中国投入产出表中投入系数变化的分析》,《中国软科学》第8期。
高敏雪、李静萍、许健,2007：《国民经济核算原理与中国实践》(第二版),中国人民大学出版社。
顾湘、王铁成等,2006：《工业行业土地集约利用与产业结构调整研究——以江苏省为例》,《中国土地科学》第6期。
国家统计局“我国利用外资与外商投资企业研究”课题组,2006：《外商投资企业发展对我国经济结构产业技术进步的影响》,《中国经贸导刊》第8期。
国家统计局国民经济核算司,2000：《中国1997年投入产出表》,中国统计出版社。
国家统计局国民经济核算司,2005：《中国2002年投入产出表编制方法》,中国统计出版社。
国家统计局国民经济核算司,2006：《中国2002年投入产出表》,中国统计出版社。
国家统计局国民经济核算司,2009：《中国2007年投入产出表》,中国统计出版社。
国家统计局统计设计管理司,2003：《<三次产业划分规定>简介》,《中国统计》第11期。
国务院发展研究中心“我国生产性服务业发展的前景、体制和政策研究”课题组,2010：《制约我国生产性服务业发展的障碍性因素》(国研专稿),http://www.drcnet.com.cn。
黄玖立、冼国明,2009：《人力资本与中国省区的产业增长》,《世界经济》第5期。
黄伟、张阿玲、张晓华,2005：《我国区域间GDP增长根源的实证研究——基于地区间投入产出表的试算》,《财贸研究》第5期。
蒋殿春、黄静,2007：《外商直接投资与我国产业内技术二元结构——基于DEA方法的证据》,《数量经济技术经济研究》第7期。
蒋殿春、夏良科,2005：《外商直接投资对中国高技术产业技术创新作用的经验分析》,《世界经济》第8期。
孔祥斌、张凤荣等,2005：《区域土地利用与产业结构变化互动关系研究》,《资源科学》第2期。
李景华,2009：《列结构分解分析模型》,《系统工程理论与实践》第6期。
李平、随洪光,2007：《知识产权保护对外商直接投资溢出效应影响的研究——基于中国高技术产业的实证分析》,《经济评论》第6期。
李强、薛天栋,1998：《中国经济发展部门分析：兼新编可比价投入产出序列表》,中国统计出版社。
,李悦等,2008：《产业经济学》,中国人民大学出版社。
林民书、杨治国,2006：《外来投资与内资企业产业扩散效果分析》,《当代经济研究》第2期。
刘克逸,2002：《人力资本与我国产业国际竞争力的提高》,《复旦学报》(社会科学版)第3期。
刘起运,2002：《关于投入产出系数结构分析方法的研究》,《统计研究》年第2期。
刘仕强、顾国章,2006：《基于时变随机前沿生产函数的上海工业增长因素分析》,《南方经济》第12期。
刘水杏,2004：《房地产业与相关产业关联度的国际比较》,《财贸经济》 第4期。
刘伟、张辉,2008：《中国经济增长中的产业结构变迁和技术进步》,《经济研究》第11期。
刘玉铭、刘伟,2007：《土地制度、科技进步与农业增长——以1952—2005年黑龙江垦区农业生产为例》,《经济科学》第2期。
刘遵义、陈锡康等,2007：《非竞争型投入占用产出模型及其应用——中美贸易顺差透视》,《中国社会科学》第5期。
卢荻,2003：《外商投资与中国经济发展——产业和区域分析证据》,《经济研究》第9期。
毛振强、左玉强,2007：《土地投入对中国二三产业发展贡献的定量研究》,《中国土地科学》第3期。
裴长洪,2006：《吸收外商直接投资与产业结构优化升级——“十一五”时期利用外资政策目标的思考》,《中国工业经济》第1期。
齐兰,2009：《垄断资本全球化对中国产业发展的影响》,《中国社会科学》第2期。
齐舒畅,2003：《我国投入产出表的编制和应用情况简介》,《中国统计》第5期。
齐舒畅、王飞、张亚雄,2008：《我国非竞争型投入产出表编制及其应用分析》,《统计研究》第5期。
乔榛、焦方义、李楠,2006：《中国农村经济制度变迁与农业增长——对1978-2004年中国农业增长的实证分析》,《经济研究》第7期。
沈利生,2009：《“三驾马车”的拉动作用评估》,《数量经济技术经济研究》第4期。
沈利生,2010：《重新审视传统的影响力系数公式——评影响力系数公式的两个缺陷》,《数量经济技术经济研究》第2期。
沈利生、吴振宇,2004：《外贸对经济增长贡献的定量分析》,《吉林大学社会科学学报》第4期。
王洪庆,2006：《外商直接投资对我国产业内贸易的影响》,《上海交通大学学报》第4期。
王火根,沈利生,2008：《能耗降低的主要影响因素分析——基于结构分 解技术的投入产出法实证检验》,《科技进步与对策》第2期。
王秀清,1999：《中国农业增长(1981-1995年)：需求角度的分析》,《中国农村经济》第5期。
文东伟、冼国明、马静,2009：《FDI、产业结构变迁与中国的出口竞争力》,《管理世界》第4期。
夏炎、杨翠红、陈锡康,2009：《基于可比价投入产出表分解我国能源强度影响因素》,《系统工程理论与实践》第10期。
冼国明、博文广,2005：《外国直接投资对中国企业技术创新作用的影响——基于产业层面的分析》,《南开经济研究》第6期。
严兵,2005：《外商在华直接投资的溢出效应——基于产业层面的分析》,《世界经济研究》第3期。
杨灿,2008：《国民经济统计学——国民经济核算原理》,科学出版社。
张军、陈诗一、Jefferson, G.H.,2009:《结构改革与中国工业增长》,《经济研究》第7期。
张若雪,2010：《人力资本、技术采用与产业结构升级》,《财经科学》第2期。
张淑娟,2007：《东北老工业基地产业结构演进中FDI因素的分析与比较》,《财贸经济》第8期。
张友国,2009a：《中国贸易增长的能源环境代价》,《数量经济技术经济研究》第1期。
张友国,2009b：《需求模式变化的环境影响》,《统计研究》第7期。
张宇、蒋殿春,2008：《FDI、产业集聚与产业技术进步——基于中国制造行业数据的实证检验》,《财经研究》第1期。
赵红、张茜,2006：《外商直接投资对中国产业结构影响的实证研究》,《国际贸易问题》第8期。
赵晓丽、洪东悦,2009：《中国对外贸易对能源消费的影响：基于结构因,素分解法的分析》,《财贸经济》第9期。
中国投入产出学会课题组,2006:《我国目前产业关联度分析——2002年投入产出表系列分析报告之一》,《统计研究》第11期。
中国投入产出学会课题组,2007：《我国能源部门产业关联分析——2002 年投入产出表系列分析报告之六》,《统计研究》第5期。
中华人民共和国国家统计局,2009：《中国统计年鉴2009》,中国统计出版社。
朱玲,2004：《西藏经贸改革中的民间投资与产业深化》,《中国工业经济》第1期。
朱玉春、郭江,2006：《中国农业乡镇企业的技术进步及其与农业增长的相关分析》,《中国农村经济》第11期。
朱钟棣、鲍晓华,2004：《反倾销措施对产业的关联影响——反倾销税价格效应的投入产出分析》,《经济研究》第1期。
Andreosso-O'Callaghan, B., Yue, G.,2002, "Sources of output change in China:1987-1997:application of a structural decomposition analysis", Applied Economics,34(17):2227-2237.
Andreosso-O'Callaghan, B., Yue, G,2004, "Intersectoral Linkages arid Key Sectors in China,1987-1997", Asian Economic Journal,18(2):166-183.
Ang, B. W.,2004, "Decomposition analysis for policymaking in energy: which is the preferred method", Energy Policy,32:1131-1139.
Ang, B. W., Huang, H. C., sMu, A.R.,2009, "Properties and linkages of some index decomposition analysis methods", Energy Policy,37(11): 4625-4632.
Bohlin, J.,2007, "Structural Change in the Swedish economy in the late nineteenth and early twentieth century-The role of import substitution and export demand", Goteborg Papers in Economic History. No.8., http://guoa.ub.gu.se/dspace/bitstream/2077/3105/1/gunhis08.pdf.
Bon, R.,2001, "Comparative Stability Analysis of Demand-Side and Supply-Side Input-Output Models:Toward an Index of Economic'Maturity'", in"Input-output analysis:Frontiers and extensions", Palgrave Macmillan, UK, 338-348.
Cai, J., Leung, P.,2004, "Linkage Measures:A Revisit and a Suggested Alternative", Economic Systems Research,16(1):66-85.
Chen X., Guo J.,2000, "China Economic Structure and SDA Model", Journal of Systems Science and Systems Engineering,9(2):142-148.
Chenery, H., Shishido, S., Watanabe, T.,1962, "The Pattern of Japanese Growth,1915-1954", Ecomometra,30(1):98-139.
Chenery, H. B., Watanabe, T.,1958, "International Comparisons of the Structure of Production International Comparisons of the Structure of Production", Econometrica,26(4):487-521.
De Boer, P.,2008, "Additive Structural Decomposition Analysis and Index Number Theory:An Empirical Application of the Montgomery Decomposition", Economic Systems Research,20(1):97-109.
De Haan, M.,2001, "A Structural Decomposition Analysis of Pollution in the Netherlands", Economic Systems Research,13(2):181-196.
De Nooij, M., Van Der Kruk, R., Van Soest, D. P.,2003, "International comparisons of domestic energy consumption", Energy Economics,25(4): 359-373.
Deidda, L., Fattouh, B.,2005, "Concentration in the Banking Industry and Economic Growth", Macroeconomic Dynamics,9(2):198-219.
Dietzenbacher, E., Hoen, A. R.,2006, "Coefficient stability and predictability in input-output models:a comparative analysis for the Netherlands", Construction Management and Economics,1466-433X,24(7):671-680.
Dietzenbacher, E., Los, B.,1998, "Structural Decomposition Techniques: Sense and Sensitivity", Economic Systems Research,10(4):307-323.
Dietzenbacher, E., Luna, I. R., Bosma, N. S.,2005, "Using Average Propagation Lengths to Identify Production Chains in the Andalusian Economy", Estudios de Economia Aplicada,23(2):405-422.
Dietzenbacher, E., Romero, I.,2007, "Production Chains in an Interregional Framework:Identification by Means of Average Propagation Lengths", International Regional Science Review,30(4):362-383.
Feldman, S. J., McClain, D., Palmer, K.,1987, "Sources of Structural Change in the United States,1963-78:An Input-Output Perspective", The Review of Economics and Statistics,69(3):504-510.
Gokcekus, O., Anyane-Ntow, K., Richmond, T. R.,2001, "Human Capital and Efficiency:The Role of Education and Experience in Micro-enterprises of Ghana's Wood-Products Industry", Journal of Economic Development,26(1): 103-113.
Gort, M., Sung, N.,1999, "Competition and Productivity Growth:The Case of the U.S. Telephone Industry", Economic Inquiry,37(4):678-691.
Hirschman A. O.,1958, "The Strategy of Economic Development", Yale University Press, New Haven.
Hitomi, K., Oikuyama, Y., Hewings, G J. D., Sonis, M.,2000, "The Role of Interregional Trade in Generating Change in the Regional Economies of Japan, 1980-1990", Economic Systems Research,12(4):516-537.
Jacob, J.,2005, "Late Industrialization and Structural Change:Indonesia, 1976-2000", Oxford Development Studies, Sep-Dec,33(3-4):427-451.
Jacobsen, H, K.,2000, "Energy Demand, Structural Change and Trade:A Decomposition Analysis of the Danish Manufacturing Industry", Economic Systems Research,12(3):319-343.
Leontief, W. W.,1936, "Quantitative Input and Output Relations in the Economic Systems of the United States", The Review of Economics and Statistics, 18(3):105-125.
Liu, A., Saal, D. S.,2001,"Structural Change in Apartheid-era South Africa: 1976-93", Economic Systems Research,13(3):236-257.
Ma C.,2010, "Account for sector heterogeneity in China's energy consumption:Sector price indices vs. GDP deflator", Energy Economics,32(1): 25-29.
Munksgaard, J., Pedersen, K. A., Wien, M.,2000, "Impact of household consumption on CO2 emissions", Energy Economics,22:423-440.
Oh, I., Wehrmeyer, W., Mulugetta, Y.,2010, "Decomposition analysis and mitigation strategies of CO2 emissions from energy consumption in South Korea", Energy Policy,38(1):365-377.
Peters, G. P., Weber, C. L., Guan, D., Hubacek, K.,2007, "China's Growing CO2 Emissions—A Race between Increasing Consumption and Efficiency Gains", Environmental Science & Technology,41(17):5939-5944.
Rose, A., Casler, S.,1996, "Input-Output Structural Decomposition Analysis:A Critical Appraisal", Economic Systems Research,8(1):33-62.
Weber, C. L.,2009, "Measuring structural change and energy use: Decomposition of the US economy from 1997 to 2002", Energy Policy,37(4): 1561-1570.
Yan,Y, Yang, L.,2010, "China's foreign trade and climate change:A case study of CO2 emissions", Energy Policy,38(1):350-356
Zhang, Y.,2009, "Structural Decomposition Analysis of Sources of Decarbonizing Economic Development in China:1993-2006", Ecological Economics,68(8-9):2399-2405.
Zhang, Y.,2010, "Supply-side structural effect on carbon emissions in China", Energy Economics,32(1):187-193.