Productivity of Agricultural Labour and Land: An International Comparison

This paper examines partial agricultural land and labour productivity in 1975 and 1980, for different world regions. The results suggest that land and labour productivity are higher in developed countries relative to developing countries. However, agricultural labour productivity differences are more marked than those for agricultural land productivity. The productivity values for 1975 and 1980 indicate a widening of productivity differences, more so in the case of agricultural labour than land. The paper also proposes an alternative approach to estimating agricultural land and labour productivity. This approach, which regresses agricultural labour productivity on a given level of agricultural land productivity, suggests a narrowing of agricultural land productivity differences, relative to the initial approach, across Africa, Asia and Europe during the 1975-1980 period. A brief discussion of the agricultural development policy implications of the results concludes the paper.     

Spillovers

Interstate and international spillovers from public agricultural research and development (R&D) investments account for a significant share of agricultural productivity growth. Hence, spillovers of agricultural R&D results across geopolitical boundaries have implications for measures of research impacts on productivity, and the implied rates of return to research, as well as for state, national and international agricultural research policy. In studies of aggregate state or national agricultural productivity, interstate or international R&D spillovers might account for half or more of the total measured productivity growth. Similarly, results from studies of particular crop technologies indicate that international technology spillovers, and multinational impacts of technologies from international centres, were important elements in the total picture of agricultural development in the 20th Century. Within countries, funding institutions have been developed to address spatial spillovers of agricultural technologies. The fact that corresponding institutions have not been developed for international spillovers has contributed to a global underinvestment in certain types of agricultural research.     

Using a Programming Approach to Measure International Agricultural Efficiency and Productivity

Multifactor agricultural productivity for seventy countries is calculated using a programming method. Productivity measures are divided into indices that measure technical efficiency and technical change. Agriculture in many developing countries is technically inefficient but technical change has had a greater impact on agricultural productivity. Multifactor productivity is declining in many developing countries where both agricultural output and the use of some agricultural inputs has rapidly grown. The level of education in a country and research services are factors which can explain differences in agricultural productivity growth between countries.     

Asian Agricultural Productivity and Convergence

This paper measures agricultural total factor productivity (TFP), for eighteen Asian countries, from 1965 to 1996. TFP is measured by calculating the Malmquist index with respect to the sequential frontier, which is appropriate when the cross section is relatively small. The results show that half the countries have experienced negative productivity growth, due to losses in technical efficiency combined with stagnation in technological progress. Both cross‐section and time series tests show that there is no evidence of convergence in agricultural productivity for these countries. The less productive countries are falling further behind, rather than catching up. Finally, comparisons with Africa show that although Asia has had faster TFP growth than Africa, three of the five African regions (East, Central and Southern) have grown faster than any of the Asian regions.     

ICT and agricultural productivity: evidence from cross-country data

This article carries out agricultural production function estimations, based on data for the period 1995–2000 on 81 countries, to present empirical evidence on the relationship between the adoption of information and communication technology (ICT) and agricultural productivity. It is found that new ICT has a significantly positive impact on agricultural productivity. The evidence suggests that the adoption of modern industrial inputs in agricultural production relies on the information and communication infrastructure. However, the empirical evidence from this study also suggests that new ICT could be a factor for the divergence between countries in terms of overall agricultural productivity. Not only do we find that the ICT adoption levels of the richer countries are much higher than those of the poorer countries, but also that returns from ICT in agricultural production of the richer countries are about two times higher than those of the poorer countries. A plausible explanation for the poorer countries' relatively low productivity elasticity of ICT is the lack of important complementary factors, such as a substantial base of human capital.     

Productivity growth and convergence in crop, ruminant, and nonruminant production: measurement and forecasts

Projections of future productivity growth rates in agriculture are an essential input for a great variety of tasks, ranging from development of an outlook for global commodity markets to the analysis of interactions between land use, deforestation, and ecological diversity. Yet solid projections for these variables have proven elusive—particularly on a global basis. This is due, in no small part, to the difficulty of measuring historical total factor productivity growth. Consequently, most productivity projections are based on partial factor productivity measures that can be quite misleading. The purpose of this work is to provide worldwide forecasts of agricultural productivity growth till the year 2040 based on the latest time series evidence on total factor productivity growth for crops, ruminants, and nonruminant livestock. The results suggest that most regions in the sample are likely to experience larger productivity gains in livestock than in crops. Within livestock, the nonruminant sector is expected to continue to be more dynamic than the ruminant sector. Given the rapid rates of productivity growth observed recently, nonruminant and crop productivity in developing countries may be converging to the productivity levels of developed countries. For ruminants, the results show that productivity levels in developing countries are likely to be diverging from those in developed countries.     

Bridging the Gap between Partial and Total Factor Productivity Measures Using Directional Distance Functions

Technical dependencies as well as data constraints limit our ability to allocate inputs across sectors and hence our ability to measure sectoral productivity. We adapt a directional measure of efficiency to the measurement of sector-specific productivity that does not require allocating all inputs across sectors. Applied to the agricultural sector of a group of countries, the results show important differences in livestock and crops productivity growth. Commonly used partial factor productivity measures for livestock and crops tend to overestimate productivity growth in most developing countries while underestimating it in European countries.     

Land Distribution and International Agricultural Productivity

The unequal distribution of agricultural land is often cited as a source of inefficiency in agriculture. Previous cross-country studies of agricultural productivity differences, though, have not considered land inequality. This article addresses this issue by using cross-country data on inequality in operational holdings of agricultural land from Deininger and Squire (1998) . In an estimation of an agricultural production function, the Gini coefficient for land holdings is found to have a significant negative relationship with productivity. This is consistent with the existence of heterogeneity in productivity by farm size within countries. A one standard deviation drop in the Gini coefficient implies an increase in productivity of 8.5%.     

Public agricultural R&D over the past half century: an emerging new world order

Recent trends in farm productivity and food prices raise concerns about whether the era of global agricultural abundance is over. Agricultural R&D is a crucial determinant of agricultural productivity and production, and therefore food prices and poverty. In this article, we present entirely new evidence on investments in public agricultural R&D worldwide as an indicator of the prospects for agricultural productivity growth over the coming decades. The agricultural R&D world is changing, and in ways that will definitely affect future global patterns of poverty, hunger, and other outcomes. The overall picture is one in which the middle‐income countries are growing in relative importance as producers of agricultural innovations through investments in R&D, and have consequently better prospects as producers of agricultural products.     

Agricultural Growth and Inter‐Sectoral Linkages in a Developing Economy

Does growth in the manufacturing sector of an economy spillover to agriculture, or do sectors share similar growth rates only when they share some common exogenous stimuli? The limited number of investigations of this issue, for cross‐sections of countries, have found some evidence in favour of spillovers, though the methodologies used cannot readily separate correlation from causation. Adapting the Feder (1982) model of sectoral externalities to a time‐series context, we examine how far agricultural output in Malaysia has been affected by inter‐sectoral spillovers. Our results suggest that expansion of manufacturing output, though associated with reduced agricultural output in the short‐run, is associated with agricultural expansion over the long‐run. Service output growth on the other hand seems to have been inimical to agricultural growth in both the short‐ and long‐runs, while causality testing supports the case for spillovers rather than “common causes”. Evidence on sectoral productivity is consistent with neoclassical arguments suggesting that the benefits of higher productivity in manufacturing tend to spill over to agriculture, encouraging productivity convergence.     

Geography of plant breeding systems,agroclimatic similarity,and agricultural productivity: evidence from Nigeria

Agroclimatic conditions and agricultural research and development (R&D) including plant breeding activities by the public sector are some of the most significant exogenous factors in the agricultural sector. However, the effects of the interactions between these two sets of factors on agricultural productivity have not been studied widely in developing countries, despite potentially important implications on their plant breeding strategies. Using three‐wave panel data of agricultural households in Nigeria and spatial data on various agroclimatic parameters, we show that agricultural productivity and technical efficiency at the agricultural household level is significantly positively affected by the similarity of agroclimatic conditions between locations where agricultural households are located, and locations where major plant breeding institutes are located. These results hold after controlling for various socioeconomic characteristics of these households, including their physical distances to the breeding institutes. Findings are robust across parametric and nonparametric specifications such as Data Envelopment Method, and after addressing potential endogeneity of agroclimatic similarity and agricultural inputs variables in the production function. Productivity effects due to the locations of plant breeding institutes and resulting agroclimatic similarity can be potentially sizable given Nigeria's past productivity growth speed.     

Assessing Total Factor Productivity Growth in Sub‐Saharan African Agriculture

The importance of the agricultural sector in the economic development process is well known. Improvements in agricultural productivity are often found to spill into other areas of a developing economy, potentially improving the standards of living of urban and rural workers alike. Given the importance of this sector, accurate measures of total factor productivity (TFP) across countries can be helpful in identifying conditions, institutions or policies that promote agricultural development. In this article, we estimate TFP growth in agriculture for a panel of 39 sub‐Saharan African countries from 1961 to 2007. We also develop a set of development outcome measures theoretically consistent with strong agricultural performance to serve as external validation of our results. We find that three estimation methods (stochastic frontier, generalised maximum entropy, and Bayesian efficiency) generate relative rankings that are consistent with the development outcome measures, providing external validation of the methods. However, the data envelopment analysis approach performs poorly in this regard.     

Can improved agricultural technologies spur a green revolution in Africa? A multicountry analysis of seed and fertilizer delivery systems

Sub‐Saharan Africa faces low agricultural productivity amid a confluence of trends that include rapid population growth, climate change, and the rise of the middle class. To raise productivity, governments—in partnership with donors and development organizations—have launched numerous initiatives to encourage the development of sustainable and competitive agricultural input markets. Despite these efforts, markets remain underdeveloped in most countries and access to affordable seeds and fertilizers remains a major challenge for smallholder farmers. This paper explores evidence from recent multicountry analyses of input delivery systems to assess the possibility of a Green Revolution in Africa. It describes use and adoption levels, challenges, policy and regulatory issues, and investments needed to expand smallholder access to these productivity‐enhancing agricultural technologies.     

Farmers' health and agricultural productivity

Agriculture is one of the most hazardous productive sectors around the world. Most previous studies have focused on health issues of farmers in developing countries, while little attention has been paid to farmers' health problems in developed countries. The present study assesses the effect of farmers' health conditions on agricultural productivity in Norway. Employing stochastic frontier regression techniques, we conclude that differences in farmers' health help to explain the variance in agricultural production efficiency.     

Measuring public agricultural research and extension and estimating their impacts on agricultural productivity: new insights from U.S. evidence

This article provides new estimates of the marginal product of public agricultural research and extension on state agricultural productivity for the U.S., using updated data and definitions, and forecasts of future agricultural productivity growth by state. The underlying rationale for a number of important decisions that underlie the data used in cost‐return estimates for public agricultural research and extension are presented. The parameters of the state productivity model are estimated from a panel of contiguous U.S. 48 states from 1970 to 2004. Public research and extension are shown to be substitutes rather than complements. The econometric model of state agricultural TFP predicts growth rates of TFP for two‐thirds of states that is less than the past trend rate. The results and data indicate a real social rate of return to public investments in agricultural research of 67% and to agricultural extension of 100+%. The article concludes with guidance for TFP analyses in other countries.     

International trade and agricultural development in developing countries: Significance of the Uruguay Round of GATT negotiations

Liberalization of world trade in agricultural products ranks high on the agenda of the Uruguay Round. After a period of more than six years, however, the negotiations have not been concluded. Nevertheless, an outcome seems to be in sight. The agreement will most likely not result in a move to freer trade. It seems that domestic policies will become even more regulative than in the past in an attempt to cut exportable surpluses and to ease trade tensions among the main exporting nations. This paper explores possible impacts of the GATT Round on agricultural development in developing countries. Agricultural development is more than only growth in agricultural production or productivity. However, it is argued in the paper that other variables which also indicate agricultural development are often closely correlated with growth in production and productivity. Trade in agricultural products is not always an engine for agricultural development. If internal divergences are not accounted for by appropriate domestic policies, trade may be even harmful to agricultural development. Hence, empirical research based on cross-country analysis does not provide a clear answer about the role of trade for development. Past policies in industrialized countries have most likely had a negative effect on developing countries as a group; however, the effects differ widely across countries. Liberalization policies in industrialized countries would not just reverse these negative effects for developing countries. Price reduction in industrialized countries may not result in the often-cited production decline in the short term. Present X-inefficiency in agriculture will be reduced by liberalization, leading to an outward shift of the supply curve. Hence, liberalization may not lead to higher world market prices for temperate-zone products in the short and medium term. Apart from this, empirical models differ widely in the price effects they predict. The expected outcome of the Uruguay Round – increased regulation of domestic policies – is likely both more negative for developing countries than past protectionist policies and worse than an overall liberalization. World market prices will increase, uncertainty and instability can be expected to grow, and food aid may become less available. There will be a need to react to these challenges with measures on the international and national level. Initiatives to deal with food crises in developing countries and to stimulate liberalization in developing countries should be considered. Finally, developing countries should be made aware that their own domestic policies have a much greater economic impact than policies in other countries, even if the latter are as protectionist as current agricultural policies in the industrialized world.     

Knowledge diffusion and agricultural development

Low agricultural productivity remains the primary source of poverty in the developing regions and yet little is known about the influence on agricultural productivity of domestic and international accumulated R&D knowledge and the channels through which this knowledge is transmitted internationally. Following a large scientific literature, this article argues that R&D and R&D knowledge spillover are ecozone‐specific and, therefore, are transmitted internationally through ecozones, where ecozones are the broadest biogeographic division of the earth's land surface. Using data for a panel of 88 countries, it is shown that international knowledge spillovers are ecozone‐specific and have been an important contributing factor behind the marked widening of the income gap between developed and developing countries since 1983.     

Is there a slowdown in agricultural productivity growth in South America?

This article estimates agricultural productivity growth in 10 South American countries in 1969–2009 with the objective of investigating if the slowdown being measured in other countries is present in the region. Results show that productivity growth accounts for half of the three‐fold increase in agricultural output during this period and that performance is sensitive to R&D investments in the sector. The slowdown found for the 1990s to 2000s in the U.S. and some European economies does not seem to be present yet in South America. The region's total factor productivity (TFP) growth rate increased steadily from 1.07% during the 1970s to 2.29% during the 2000s. Given lags in adoption and the adaptive nature of innovations in these economies, we have yet to see the potential effects in South American agriculture of decreases in R&D in advanced economies.     

Link between Agricultural Assistance and International Trade

This paper investigates a central part of the argument that agricultural assistance by the United States to developing nations leads to diminished export markets for U.S. farmers. A sizeable cross section of low-income and lower-middle-income nations is used to provide statistical analyses of: (1) the link between agricultural productivity and economic performance, and (2) the link between economic performance and agricultural imports. The results show that a reasonably strong case can be made for the idea that advances in agricultural productivity are associated with long-run increases in imports of cereals and other agricultural products by less wealthy nations. The connection comes via the positive income effect of general economic development. For these countries, investments in agricultural development through successful assistance are not detrimental to U.S. farm export interests in the long run. They are generally beneficial. For middle-income nations, the case is less clear and more controversial. However, nothing in the cross-section data used suggests that farm productivity improvements in these nations is systematically threatening to U.S. agricultural trade in the long run.     

The benefits from public agricultural research in Uruguay

We use newly constructed data to model and measure agricultural productivity growth and the returns to public agricultural research conducted in Uruguay over the period 1961–2010. We pay attention specifically to the role of levy‐based funding under INIA, which was established in 1990. Our results indicate that the creation of INIA was associated with a revitalization of funding for agricultural R&D in Uruguay, which spurred sustained growth in agricultural productivity during the past two decades when productivity growth was stagnating in many other countries. The econometric results were somewhat sensitive to specification choices. The preferred model includes two other variables with common trends, a time‐trend variable and a proxy for private research impacts, as well as a variable representing the stock of public agricultural knowledge that entailed a lag distribution with a peak impact at year 24 of the 25‐year lag. It implies a marginal benefit‐cost ratio of 48.2, using a real discount rate of 5 per cent per annum and a modified internal rate of return of 24 per cent per annum. The benefit‐cost ratio varied significantly across models with different lag structures or that omitted the trend or the private research variable, but across the same models, the modified internal rate of return was very stable, ranging from 23 per cent per annum to 27 per cent per annum. These results suggest that the revitalized investment in research spending under INIA has been very profitable for Uruguay and that a greater rate of investment would have been justified.