New perspectives on farm size and productivity

The farm size and productivity debate has been limited by the focus on land or labor productivity, generally showing respective productivity advantages to smaller or larger sized farms. Our purpose is to provide new perspectives on the debate by bringing together evidence from a set of novel case studies in both rich and poor countries. Common to them are the adoption of total factor productivity (TFP) as the comparative performance measure, and the reliance on panels of farm micro data. The present article presents a synthesis of findings from five case studies in (i) Malawi, Tanzania, and Uganda; (ii) Bangladesh; (iii) Brazil; (iv) Australia; and (v) the United States. The preponderance of evidence from these studies suggests that there is no single economically optimal agrarian structure; rather, it appears to evolve with the stage of economic development. Certain farm sizes face relative productivity advantages, such as small farms in Africa. But with economic and market growth, that smallholder advantage will likely attenuate, moving toward constant and eventually increasing returns to size. Yet, importantly, small farms may be quite dynamic, and need not be a drag on agricultural growth until perhaps well into the development process.     

Assessing farm performance by size in Malawi,Tanzania, and Uganda

Many Sub-Sahara African countries have long endured sluggish agricultural productivity growth and a farm structure dominated by smallholders. This prevailing structure has led to public policies focusing on access to land and its distribution as ways to boost agricultural supply. Drawing on data from the Living Standards Measurement Study–Integrated Surveys on Agriculture (LSMS-ISA) for three East African countries (Malawi, Tanzania, and Uganda), our purpose is to: test whether smaller farms in these countries are more productive than larger ones; examine how managerial performance varies with farm size; and assess how public policy may improve farm performance. We adopt the Random Parameters Stochastic Production Frontier model to estimate and then decompose Total Factor Productivity (TFP) across different farm size classes. In doing so, we test for possible measurement errors of farmer self-reported land area using Global Positioning System (GPS) data, and explore the imperfect factor markets hypothesis. The results show that across the three countries TFP is higher for smaller farms than for larger ones. Overall, managerial performance is low suggesting that programs designed to enhance managerial capacity would promote farm productivity across all sizes. Other policies are size specific. Access to agricultural input markets improves the productivity of the small farms, while greater spending on transportation infrastructure and extension services enhances the productivity of the large.     

Agricultural productivity growth in Brazil: Large and small farms excel

The long-standing debate on the relationship between farm size and productivity has been generally limited by the range of farm sizes evaluated and the definition of productivity. In this paper we use data from three Brazilian agricultural censuses to address these issues. In particular, we introduce a wider distribution of farm sizes than presently available from the literature and we employ total factor productivity (TFP) as our performance measure. In doing so, we test which farm size class had the highest TFP levels in 1985 and 2006, how factor productivity growth varied within and across farm size classes between those years, and which policy or factor had the greatest productivity enhancing effect. When examining TFP growth, we move beyond the common decomposition into technical and efficiency changes by identifying the complete distribution of farm productivity performances. We find that by 2006 a U-shaped distribution of productivity over farm sizes had emerged. Considerable 1985–2006 TFP growth differences are prevalent; positive rates for the majority accompany stagnant or negative rates for some. Public education investments were associated with faster productivity growth regardless of farm size, while technical assistance’s positive effect and credit’s negative effect were associated with larger farm sizes. The role of specialization varied by size.     

Exploring the relationship between farm size and productivity: Evidence from the Australian grains industry

The effect of farm size on productivity remains to be one of the longest standing debates in the agricultural development literature. In this paper, we use farm level data for the Australian grains industry from 1989 to 2004 to investigate the relationship between farm size and total factor productivity and its potential determinants. We show that a positive farm-size productivity relationship could be linked to farmer capital choice. In particular, the productivity advantage of larger farms is likely to diminish as farms use contract services to replace self–owned capital, suggesting that the hire of capital services (hereafter ‘capital outsourcing’) may lift the productivity level of small farms compared to their larger counterparts.     

Are China’s regional agricultural productivities converging: How and why?

This article tests the hypotheses of convergence to a single level of total factor productivity (TFP), and a steady state of TFP growth rate in China’s agricultural sector. Based on multilateral TFP estimates we found that China’s agricultural sector has rebounded in recent years from a slower TFP growth in the 2005–2007 period. While convergence test results confirm a “catch-up” effect that provinces with lower TFP levels tend to grow faster than others, estimated rates of β convergence are conditional on how we capture the heterogeneity effect across regions. The rates of β convergence range from 0.016 to 0.039 under different model specifications. Estimates show that higher growth rates of educational attainment, R&D, and intermediate goods density (per unit of labor) can enhance TFP growth. Unfortunately, there is no evidence of an overall σ convergence, indicating that TFP levels are not converging except in the South region. It implies that to catch up with leading provinces, it would require extra efforts for those lagging behind by increasing their region-specific research investment, promoting rural educational attainment, and enhancing embodied technical change.     

Can the small dairy farm remain competitive in US agriculture?

Smaller dairy farms in the US are observed to have higher costs than larger farms, and whether those higher costs are due to technology or inefficiency has implications for policy to address the small farm. If high cost of production on smaller farms is due to a higher cost frontier, then to make small farms competitive would require research to devise and design technology that is suitable for small farms. If instead high cost is due to inefficiency, then educational approaches are needed to ensure small dairy farms use technology efficiently. To determine the cause of higher costs on small farms, the cost of milk production by farm size was decomposed into frontier and efficiency components with a stochastic cost curve using data on USA dairy farms. Although the frontier cost of production decreases with farm size, that cost reduction is not as pronounced as a cost curve that includes inefficiency. The higher cost of production on many smaller farms is caused by inefficiency rather than technology.     

Do R&D and ICT affect total factor productivity growth differently?

We analyze the effect of ICT and R&D on total factor productivity (TFP) growth across different industries in Sweden. R&D alone is significantly associated with contemporaneous TFP growth, thus exhibiting indirect effects. Although there is no significant short-run association between ICT and TFP, we find a positive association with a lag of seven to eight years. Thus, R&D affect TFP much faster than ICT-investments. We also divide ICT capital into hardware and software capital. To our knowledge, this distinction has not been made in any previous study analyzing TFP at the industry level. The results show that lagged hardware capital services growth is significantly associated with TFP growth. Hence, investments complementary to hardware are needed to reap the long-run TFP effects from reorganizing production.     

A DEA Approach to Understanding the Productivity Growth of Malaysia's Manufacturing Industries

This paper seeks to explain the productivity growth performance of Malaysia's manufacturing sector using a panel data of 28 industries from 1981–1996. Here, the data envelopment analysis technique is used to calculate and decompose the Malmquist index of total factor productivity (TFP) growth into technical change, change in technical efficiency and change in scale efficiency. This allows the identification of the sources of productivity growth which is crucial for policy formulation. It was found that the annual TFP growth of the Malaysian manufacturing sector was low at 0.8% and this was driven by small gains in both technical change and technical efficiency, with industries operating close to optimum scale.     

我国制造业上市公司技术效率与技术进步实证研究

本文运用非参数的Malmqusit生产率指数法研究了2001—2005年期间中国制造业上市公司全要素生产率的水平及其变迁情况,并对其子行业和地区分布特征进行了探讨。同时对那些影响制造业上市公司生产率的主要因素进行了剖析。实证研究表明,中国制造业上市公司全要素生产率年平均增长1．9％,相对比较低,呈现出波动性特征。制造业上市公司全要素生产率的增长主要是由技术进步和效率改善共同引致的;开放程度比较高的行业,生产率也比较高,而高度垄断以及开放度低的行业如石油加工及炼焦业的生产率就比较低。东、中、西部地区制造业上市公司全要素生产率存在差异,东部最高,中部和西部次之,年均增长率分别为2．7％、1．7％、0．4％。股权集中度、企业盈利能力和企业年龄与制造业上市公司技术效率以及生产率的提升显著正相关,而股权制衡度、控股股东的性质与制造业上市佘司技术效率以及生产率的提升并不显著;企业年龄与上市公司技术进步没有必然的关系,而企业规模对对制造业上市公司技术进步有显著影响。     

Too small to be beautiful? The farm size and productivity relationship in Bangladesh

This paper examines the agricultural productivity-farm size relationship in the context of Bangladesh. Features of Bangladesh’s agriculture help overcome several limitations in testing the inverse farm-size productivity relationship in other developing country settings. A Stochastic Production Frontier (SPF) model is applied using data from three rounds of a household panel survey to simultaneously estimate the production frontier and the technical inefficiency functions. The ‘correlated random effects’ approach is used to control for unobserved heterogeneous household effects. Methodologically, the results suggest that SPF models that ignore the inefficiency function are likely mis-specified, and may result in misleading conclusions on the farm size-productivity relationship. Empirically, the findings confirm that the farm size and productivity relationship is negative, but with the inverse relationship diminishing over time. Total factor productivity growth, driven by technical change, is found to have been robust across the sample. Across farm size groups, the relatively larger farmers experienced faster technical change, which helped them to catch up and narrow the productivity gap with the smaller farmers.     

Economic growth,telecommunications development and productivity growth of the telecommunications sector: Evidence around the world

This paper studies the relationships between economic growth, telecommunications development and productivity growth of the telecommunications sector in different countries and regions of the world. In particular, this study assesses the impact of mobile telecommunications on economic growth and telecommunications productivity. The results indicate that there is a bidirectional relationship between real gross domestic product (GDP) and telecommunications development (as measured by teledensity) for European and high-income countries. However, when the impact of mobile telecommunications development on economic growth is measured separately, the bi-directional relationship is no longer restricted to European and high-income countries. This study also finds that countries in the upper-middle income group have achieved a higher average total factor productivity (TFP) growth than other countries. Countries with competition and privatization in telecommunications have achieved a higher TFP growth than those without competition and privatization. The diffusion of mobile telecommunications services is found to be a significant factor that has improved the TFP growth of the telecommunications sector in Central and Eastern Europe (CEE).     

我国工业污染治理动态效率研究

全要素生产率是动态效率的一种度量。以我国30个省市的工业污染治理投入产出的统计数据为实例,运用基于DEA模型的Malmquist指数方法,测算了2000～2009年中国省际的工业污染治理全要素生产率的变化。结果显示:2000～2009年期间我国工业污染治理全要素生产率增加7.1%,主要来源于技术进步的贡献;省际间的全要素生产率的变动存在较大区域差异,河北省工业污染治理全要素生产率改善最多,而青海省下降最多;工业污染治理全要素生产率的变化和技术变化随时间都呈现U型曲线规律。最后基于实证分析的结果,给出了提升我国工业污染治理效率的政策建议。     

Productivity of Singapore's Manufacturing Sector: An Industry Level Non-Parametric Study

This paper seeks to measure and to explain the productivity of Singapore's manufacturing sector using industry level data. It utilises a non-parametric approach consisting of a set of production distance functions, each of which is obtained by solving a linear programming problem. From a time-series of 1983 to 1993, across thirty industries, we obtain three indices: a Malmquist total factor productivity (TFP) index, an efficiency change index, and a technological change index. The resulting TFP growth stands at 4.6% per annum, considerably greater than previous estimates using aggregate country level data. Three-stage least squares are then applied to the pooled data. Foreign ownership and labour quality are found to have important impact on TFP growth.     

The effect of environmental regulations on Swiss farm productivity

This paper analyzes the evolution of Swiss farm productivity during the implementation of environmental policy reforms, when subsidization of farms became dependent on compliance with environmental regulations. We employ a production model formulation with technology parameters defined as the functions of subsidies, as well as individual farm characteristics. Our estimates for two groups of farms - dairy and crop farms - show that payment of subsidies via compliance in environmental regulations induced major changes in the production technology and productivity of inputs, especially land, labor and fertilizer. The overall effect of the subsidies on the output has been found to be negative. Additionally, we find that farms do not use their resources optimally, indicating some deficiencies in structural adjustments, primarily in the land and labor markets.     

The evolution of hog production and potential sources for future growth in China

Following reforms to the market, China’s hog industry has developed rapidly, however, with social and economic transitions, China’s hog industry is facing challenges which might restrict long-term growth in production. This paper analyzes the changes in regional scale, organization, input factors, and technological progress for China’s hog production over the last few decades. The paper seeks to reveal the sources of hog production growth and provide some suggestions for future development of the hog industry. To achieve these aims, the paper uses stochastic frontier production functions and the Malmquist index to measure total factor productivity (TFP) in the hog industry and decompose TFP into technical efficiency; technological progress; scale efficiency; and allocative efficiency using data for 25 provinces from 1980 to 2008. The results show firstly that; the TFP of hog production increased by 64.3% from 1980 to 2008, and allocative efficiency and scale efficiency improvements played a key role in this TFP growth. In contrast, technical efficiency and technical progress have changed little over this period. Secondly, TFP’s contribution to output was 39.7%, it being less than that of factor inputs to output. Thirdly, the results suggest that the growth of China’s pork production depends mostly on the increase in the quantity of factor inputs, especially feed. As a consequence, the key to ensuring long-term and stable development of China’s hog production would seem to involve focusing on enhancing total factor productivity and changing the pattern of production growth.     

Worker welfare on Kenyan export vegetable farms

The paper analyses farm worker welfare on three different types of farms in Kenya producing vegetables for export. The three types of farms differ by certification to international production standards as well as by size. A multidimensional approach measures welfare using human capital, income, physical and mental health, and life satisfaction. The findings suggest that GlobalGAP certification has a positive impact on worker welfare as farm workers are given more training. Workers on large certified farms earn more than those on small farms but also show more health problems. Certification on small farms is associated with higher satisfaction of workers with their life compared to workers on non-certified small farms. From a development policy perspective this paper does not support a clear cut policy on which types of farm to support as overall benefits of a support strategy will depend of the number of beneficiaries reached through the different farm types.     

环境约束下地区全要素生产率增长的再估算:1998—2008

本文采用序列Malmquist-Luenberger(SML)指数法估算1998—2008年中国各省环境约束下的TFP增长率。研究发现:考虑环境约束之后,TFP增长对我国经济增长的贡献不足10%,这反映了我国经济粗放增长的现实,技术进步是我国TFP增长的源泉,技术效率呈下降态势;样本区间内TFP增长率呈上升趋势的地区包括北部沿海、东部沿海、长江中游和大西南地区,呈下降趋势的地区包括南部沿海、黄河中游、大西北和东北地区;2005年以来环境约束下的TFP增长率呈明显的上升趋势,表明我国近年出台的环境相关政策对于破解环境问题和转变增长方式产生了积极的效果。回归分析显示,人均收入水平与环境约束下的TFP增长率呈U型关系,经济开放度、工业结构中的大中企业比例对TFP增长有正向影响,能源强度、国有企业比例有负向影响。     

Does agricultural trade affect productivity? Evidence from Chilean farms

This paper analyzes the relationship between trade and agricultural productivity in Chile, a middle-income country with a recent noticeable history of agricultural trade. This study uses an agricultural commodity trade exposure index in a cross-sectional analysis of more than 70,000 farms to study the relationship between the trade exposure of agricultural commodities and the yields reported by these farms in the 1997 Chilean agricultural census. In order to capture both import and export exposure we subdivide farms in two groups, according to the Chilean case: farms producing only importables such as grains (traditional crops), and farms producing both traditional crops and non-traditional agricultural commodities (products more related to export markets). We exclude from our analysis farms producing only non-traditional products because the census only reports yields for traditional crops. We employ a switching regression model to analyze the effects of trade exposure on traditional crop yields for both groups of farms. Results show that the trade exposure index is positively related to farm yields for both groups, but with a larger effect on farmers producing both traditional and non-traditional commodities. These results are important because they suggest that spillovers from both importables and exportables produce gains in the productivity of traditional crops.     

Telecommunications productivity,catch-up and innovation

This study examines telecommunications productivity, technological catch-up and innovation in 74 countries for the period 1991–1995. A summary of partial productivity indicators is presented, and total factor productivity (TFP) growth is calculated using the Malmquist productivity change index. Decomposition of the Malmquist index provides preliminary evidence that developing countries can enhance productivity through catch-up. An econometric model is estimated that relates innovation to market size and two measures of market structure, viz., market concentration and private ownership. Model estimates support the Schumpeterian hypothesis that market size is conducive to innovation. However, the hypothesis that concentration (the dominant carrier’s share of international message telephone service (IMTS) traffic) is positively related to innovation is rejected. Finally, the model suggests that increased private ownership of the dominant local-exchange carrier can enhance innovation.     

The Pin Factory Revisited: Product Diversification and Productivity Growth

Manufacturing plants have been producing an increasingly homogeneous product mix over recent years. Individual plants have been manufacturing fewer and less dissimilar products. The trend is ubiquitous across industries and is unlikely to be a random event. An index of product diversification is introduced into a fixed-effects model of productivity growth derived formally from a factor-minimal cost function. Specialization at the production site is found to have spurred productivity growth. Over the 1963–87 period, decreasing product heterogeneity has accounted for about 17 percent of productivity growth in U.S. manufacturing, second in importance only to technical change and equaling the contribution of scale economies.