Is a slowdown in agricultural productivity growth contributing to the rise in commodity prices?

A slowdown in the rate of agricultural productivity growth is thought by many observers to be contributing to the recent rise in agricultural prices. In this article I decompose sources of output growth in global agriculture into aggregate input and total factor productivity (TFP) components and examine whether productivity growth slowed substantially in the years leading up to the recent rise in commodity prices. Contrary to widely held perceptions, I find no evidence of a general slowdown in sector‐wide agricultural TFP, at least through 2006. If anything, the growth rate in agricultural TFP accelerated in recent decades. However, the results do show a slowdown in the growth of agricultural investment. Accelerating TFP growth largely offset decelerating input growth to keep the real output of global agriculture growing at about 2% per year since the 1960s. Regionally, however, agricultural productivity performance has been uneven. These findings have important implications for the appropriate supply‐side policy response to the current agricultural price crisis.     

Structural and productivity change in US agriculture, 1950–1982

This paper tests whether structural change in US agriculture is an important channel to TFP growth and evaluates the relative impact of (i) public research and education policies, (ii) private R&D and market forces, and (iii) government farm programs on structural change. We specify a structural econometric model, fit it to US state aggregate data, 1953–1982, and use the associated reduced‐form model to perform counter‐factual policy simulations. The findings include: structural change is a channel to TFP growth in both crop and livestock subsector, i.e. specialization, size, and part‐time farming do impact TFP, holding other variables constant. Public R&D and education have been at least as important as private R&D and market forces for changing livestock specialization, farm size, and farmers’ off‐farm work participation over the study period, but private R&D and market forces have been relatively more important for crop specialization. Changes in farm commodity programs had little impact on farm structure over these study period. Overall, we conclude that if public R&D and education policies had been unchanged at their 1950 values over 1950–1982, major structural changes in US agriculture would have occurred anyway. The forces of private R&D and market forces were at work, including a decline in the price of machinery services and agricultural chemicals, relative to the farm wage.     

The Current State of the Russian Agricultural Sector

Russia's agriculture produces around 3.7 per cent of the country's GDP, employs 9.2 per cent of the national workforce and contributes around 6 per cent of the country's exports. The sector has shown remarkable resilience in the face of wider economic turbulence. Self‐sufficiency rates for the main agricultural commodities are relatively high. Agricultural exports have grown very significantly since 2000 especially for wheat and meslin (wheat and rye mixture). Meat production has been growing steadily, particularly in the poultry and pork sectors. Whilst the agri‐food sector has great potential to play an even more prominent role in Russia's economy, it suffers from relatively low productivity and an outdated technological base. The main drive for efficiency has come mainly from the relatively large‐scale agricultural firms, who generated more than half of the total value of agricultural output in 2016. Foreign policy instability, including economic sanctions, the devaluation of the national currency and declining economic growth have weakened the sector and caused an increase in the prices of imported goods and equipment. At the same time Russian products have replaced high value‐added imports and Russia's agricultural producers are expanding into new markets.     

Structure of Public Support for National Agricultural Research Systems: A Political Economy Perspective

This paper initiates development of a set of stylized facts concerning the structure of public support for national agricultural research systems (NARS) within a neoclassical political economy framework. The aim is to place public funding of NARS in the broader context of the overall level of direct government assistance to agriculture. Using a newly constructed data set on NARS expenditures over the 1970-85 period, we observe a growing disparity in agricultural research intensity ratios, which measure the level of public support for NARS in relation to agricultural gross domestic production (Aggdp ) between low and high-income countries. This growing disparity appears to be driven by much larger increases in support for agricultural research by high-income countries, coupled with a significantly slower growth in the size of their agricultural sector, despite the propensity of low and middle-income countries to increase real support to agricultural research. As per-capita incomes rise the public agricultural expenditure ratio, which measures public expenditures on agriculture relative to the size of the agricultural sector, Aggdp , increases substantially. Public expenditures on agriculture were indexed on agricultural and non-agricultural populations to give a rough indication of the increasing incentives for rural 'distributional coalitions' to seek a redistribution of public expenditures in their favor. A relative research expenditure (rre ) ratio is developed, which measures the proportion of total public expenditure on agriculture spent on agricultural research. It provides an indication of the relative importance given to research on agriculture within the constraints imposed by overall public spending on agriculture. In contrast to the agricultural research intensity ratios, the rre ratios suggest that agricultural research appears to command as large a share of the public purse devoted to agriculture in low and middle-income countries as it does in high-income countries. Expectations derived from the neoclassical political economy literature that research may have fared relatively better in high compared with low-income countries were not supported by the data.     

Measuring and decomposing agricultural productivity and profitability change*

Profitability change can be decomposed into the product of a total factor productivity (TFP) index and an index measuring changes in relative prices. Many TFP indexes can be further decomposed into measures of technical change, technical efficiency change, scale efficiency change and mix efficiency change. The class of indexes that can be decomposed in this way includes the Fisher, Törnqvist and Hicks–Moorsteen TFP indexes but not the Malmquist TFP index of Caves, Christensen and Diewert (1982). This paper develops data envelopment analysis methodology for computing and decomposing the Hicks–Moorsteen index. The empirical feasibility of the methodology is demonstrated using country‐level agricultural data covering the period 1970–2001. The paper explains why relatively small countries tend to be the most productive, and why favourable movements in relative prices tend to simultaneously increase net returns and decrease productivity. Australia appears to have experienced this relative price effect since at least 1970. Thus, if Australia is a price‐taker in output and input markets, Australian agricultural policy‐makers should not be overly concerned about the estimated 15 per cent decline in agricultural productivity that has taken place over the last three decades.     

Livestock in China: Commodity-Specific Total Factor Productivity Decomposition Using New Panel Data

Studies of total factor productivity (TFP) in livestock production are rare, but when available provide useful information especially in the context of developing countries such as China where livestock is becoming more important in the domestic agricultural economy. We estimate TFP for four major livestock products in China employing the stochastic frontier approach, and decompose productivity growth into its technical efficiency (TE) and technical progress components. Efforts are made to adjust and augment the available livestock statistics. The results show that growth in TFP and its components varied between the 1980s and the 1990s as well as over production structures. While there is evidence of considerable technical innovation in China's livestock sector, TE improvement has been relatively slow.     

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.     

Explaining agricultural productivity growth: an international perspective

This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agriculture for 88 countries over the 1970–2001 period, estimated with both stochastic frontier analysis (SFA) and the more commonly employed data envelopment analysis (DEA). We find results with SFA to be more plausible than with DEA, and use them to analyze trends across countries and the determinants of TFP growth in developing countries. The central finding is that policy and institutional variables, including public agricultural expenditure and proagricultural price policy reforms, are significant correlates of TFP growth. The most significant geographic correlate of TFP growth is distance to the nearest OECD country.     

Technology catch-up in agriculture among advanced economies

We examine whether countries with low initial levels of agricultural total factor productivity (TFP) tend to ‘catch up’ with the technology leaders. We first compare relative levels of agricultural TFP, capital services and labour input levels in agriculture for 17 OECD countries between 1973 and 2011. Then we apply (conditional) convergence analysis to the panel data to examine the speed of convergence and test whether the convergence is transitory or permanent by analysing TFP changes over the business cycle. Capital intensities, quality improvement of capital, factors such as human capital spillovers, and certain agricultural policies are conditioning variables. We examine how differences in relative capital intensities affect agricultural productivity convergence over the business cycle. We find evidence that the speed of convergence increases during periods of contraction in economic activity.     

FACTOR SHARES IN AGRICULTURE: THE CANADA-U.S. EXPERIENCE

The class shares of income in the Canadian economy and public policy developments are closely related. A comparison of the levels and trends in functional income shares with those in the United States economy generates a number of testable hypotheses. In this paper, the functional shares in all Canadian agriculture and agricultural regions are also observed and compared to US. agriculture and adjacent type of fanning regions.
The analysis indicates a marked similarity in the total economy income shares despite dissimilar factor supply functions. In both countries there has been a slight upward trend in the labor share over time. The rate and pattern of growth has also been similar in the two countries; however, a serious divergence has developed in recent years. In contrast to the total economies, declining farm labor income shares characterize both agricultures. Real estate shares also have followed a similar pattern in the two countries, with the past two decades witnessing a reversal in the historical decline. Nevertheless, there are a number of differences between factor shares in Canadian and United States agriculture. In part, these can be explained by comparing adjacent regions. It is clear, however, that the different impact of technological change and economic growth has bad a great impact on regional shares. The operation of capital and labor markets within Canadian agriculture also contribute to the differences in agricultural factor shares between the two countries.     

Food price increases and net food importing countries: lessons from the recent past

Recent increases in food and other commodity prices have highlighted concerns that many poor countries are net food importers and higher food prices would worsen their trade balances. In this article, we analyze the changes in food trade balances associated with the 32% increase in food prices from 2000/2001 to 2004/2005. We find a small deterioration in food trade balances of low‐income countries and an improvement in middle‐income countries. The deterioration is most severe for countries in conflict and small island states, so attention should be placed first on these countries and on a few very‐low‐income countries that are also vulnerable. Because low‐income countries as a group had much lower agricultural GDP growth rates than middle‐income countries, the answers to food vulnerability in low‐income countries should probably be addressed within the context of incentives for agricultural production.     

Productivity and Convergence in European Agriculture

We investigate relative productivity levels and decompose productivity change for European agriculture between 2004 and 2013. Specifically (i) we contribute to the debate on whether agricultural Total Factor Productivity (TFP) has declined or not in the European Union (EU); (ii) we compare the relative TFP level across EU Member States and investigate the difference between ‘old’ Member States (OMS, i.e. the EU‐15) and ‘new’ Member States (NMS); and (iii) we test whether TFP is converging or not among Member States. The empirical analysis applies an aggregate quantity framework to country‐level panel data from the Economic Accounts for Agriculture for 23 EU Member States. The results imply that TFP has slightly decreased in the EU over the analysed period; however there are significant differences between the OMS and NMS and across Member States. Finally, our estimates suggest that productivity is generally converging over this period, albeit slowly.     

Nonparametric estimates of productivity and efficiency change in Australian Broadacre Agriculture

This paper computes and decomposes Färe‐Primont indexes of total factor productivity of Australian broadacre agriculture by estimating distance functions. Using state‐level data from 1990 to 2011, the empirical results show that TFP grew at an average rate of 1.36 per cent per annum in the broadacre agriculture over the period 1990–2011. There are variations of total factor productivity (TFP) growth across states and fluctuations over time within each state and territory. However, overall, there is a clear movement towards slower TFP growth across the sample period. Further decomposition of TFP growth shows that it is declining growth in technical possibilities (technological progress) that is the main driver of the declining trend in productivity growth in broadacre agriculture in Australia.     

供给侧结构改革背景下的西南地区农业全要素生产率分析

［目的］探究在制度改革背景下的农业生产力发展水平和地区差异,有利于全面了解农业发展状况,为后期农业政策的制定、调整以及农业发展提供理论基础。［方法］文章利用DEA-Malmquist指数法对我国西南地区5个省（市）农业全要素生产率（TFP）水平变化发展趋势进行分析,并在此基础上对不同地区农业TFP差异变化和发展趋势进行预测。［结果］（1）Malmquist指数分析结果表明,我国西南地区农业TFP呈缓慢增长的趋势。通过对不同地区农业TFP结果进行比较,四川省农业TFP有先逐渐上升后下降的趋势,而技术进步是影响四川省农业TFP增长的原因;（2）重庆市农业TFP也是呈现波动式缓慢增加的趋势,年平均增长率为354%; 贵州省农业TFP近20年来增长速度最快,主要影响因素为技术进步; 云南和广西农业TFP也均呈缓慢增长的趋势,技术效率和技术进步在不同时期对农业TFP的影响有所差异。（3）收敛性分析结果表明,我国西南地区农业TFP差异有减小的趋势,并且不同地区农业TFP水平具有向各自稳定状态发展的可能性。［结论］我国西南地区农业TFP增长与技术进步具有较高的同步性,因此,制约我国西南地区农业全要素生产率增长的关键因素是农业科技进步。在供给侧结构性改革背景下,必须以市场需求为科研导向,加大科技创新投入力度,促进我国西南地区农业的可持续发展。     

National policies and the sectoral pattern of economic growth

This article presents tests of whether the kinds of "national" policy variables used to explain cross-country variation in the growth of aggregate GDP per capita can also successfully explain per capita growth in the agricultural and nonagricultural sectors of developing countries. There are four main results of interest. First, relative to nonagriculture, convergence is much slower in agriculture and the burden of population growth is generally much higher. Second, while orthodox economic policies share positive associations with economic growth in the nonagricultural sectors of developing countries, such policies fail to robustly predict variation in agricultural growth. Third, size of government indicators often yield an "unexpected" positive association with agricultural growth. And finally, although there is some evidence that fewer price controls are associated with faster agricultural growth, these associations are statistically quite weak and quantitatively quite small.     

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.     

黑龙江省农业碳排放、科技投入与经济增长关系研究

[目的]以黑龙江省为例,首先对其农业碳排放总量进行测度,再研究农业碳排放同经济增长、科技投入之间的关系。[方法]利用1996~2013年的统计数据,从4个方面估算了黑龙江省农业碳排放量,进而采用自回归滞后分布模型(ARDL模型)对农业碳排放量、经济增长以及科技投入之间的关系进行实证分析。[结果]农业碳排放量、GDP增长和科技投入存在长期稳定关系,但长期来讲农业碳排放量增长速率远大于GDP增长速率;GDP增长对农业碳排放总量存在显著的正向影响,且长期影响程度远大于短期;科技投入对农业碳排放具有抑制作用且存在滞后效应,其中长期的抑制作用为12.4%,短期为3.9%,当滞后期为两年时,抑制作用尤为显著。[结论]经济增长会促进黑龙江省农业碳排放的增加,而科技投入则能对农业碳排放产生有效地抑制作用,因而黑龙江省可以通过增加农业科技投入来降低农业碳排放。     

Structural transformation away from agriculture in growing open economies

Understanding how and why economies structurally transform away from agriculture as they grow is crucial for developing sensible growth strategies and farm and food policies. Typically, analysts who study this and related structural change issues focus on sectoral shares of gross domestic product (GDP) and employment. This article draws on trade theory to focus as well on exports. It also notes that the trade costs of some products are too high at early stages of development to make international trade profitable, so a nontradables sector is recognized. The general equilibrium model presented in the theory section provides hypotheses about structural transformation in differently endowed open economies as they grow. Those hypotheses are tested econometrically with a new annual endowments dataset covering 1995–2018 for more than 130 countries. The results are consistent with long run de-agriculturalization in the course of national economic growth in terms not only of sectoral shares of GDP and employment but also of exports. We find those shares are not significantly affected by either differences across countries in relative factor endowments or relative rates of sectoral assistance from government; but the agricultural GDP and employment shares are higher the higher is the share of agriculture in national exports.     

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.     

Accounting for agricultural decline with economic growth in Taiwan

In this paper, we develop an empirical model to decompose the evolution of the agricultural share of GDP into three components: price changes, factor endowment changes and technological change. Our results suggest that relative prices have a positive but small influence on the share of agriculture in GDP in both the long‐run and the short‐run. An increase in capital per unit of labor, on the other hand, is associated with a smaller agricultural share. Technical change has been biased in favor of the agricultural sector but this effect has been swamped by the magnitude of the input effects, in particular, the changes in the capital‐labor ratio.