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.     

城市基础设施建设对土地产出率的影响及其地区差异

研究目的：研究基础设施建设对城市土地产出率的影响及其地区间的差异。研究方法：根据集聚经济原理构建城市土地产出率模型,利用全国城市面板数据检验基础设施对土地产出率的贡献。研究结果：控制了实物资本和劳动投入密度等土地产出率的基本决定因素后,基础设施资本密度是土地产出率的重要贡献因素,各项基础设施都有独立的贡献;基础设施资本存量在西部地区的增长对城市土地产出率作用最大,在东部次之,在中部地区的影响不显著。研究结论：各地应根据自身基础设施的完善程度和边际收益有选择地推进基础设施建设,达到节约土地和促进增长的综合目的。     

The Evolving Structure of Chinese R&D Funding and its Implications for the Productivity of Agricultural Biotechnology Research

China’s research and development (R&D) policy has changed considerably over recent decades, and great changes occurred in 2006 when the main programme objective of China’s R&D changed from the 863 Programme and 973 Programme to the National Science and Technology Major Project. One topic that has drawn extensive attention is whether the investment reform improved R&D productivity in China. Using a unique panel dataset from 160 universities, this paper examines the effect of the investment reform on productivity improvement in China’s agricultural biotechnology sector. We use a panel count data model with a dynamic feedback mechanism to model the knowledge production process. Strong evidence indicates that the investment reform greatly contributes to knowledge output production in China’s agricultural biotechnology sector. We also find that the input quality is more important than the absolute quantity; human research capacity exhibits the greatest contribution to the output of patents; past knowledge accumulation helps produce more patents; and entry barriers to patent production exist in China’s agricultural biotechnology sector. Moreover, the patent explosion in China may have been largely caused by improvements in the human capital input quality.     

Population growth,agricultural intensification,induced innovation and natural resource sustainability: An application of neoclassical growth theory

Using a simple neoclassical type growth model including both man-made and natural capital as inputs to production, the theoretical basis for a U-shaped relationship between agricultural intensification and farm household investment in renewable resource capital is established. As development of technology, infrastructure, or markets increase the relative return to investment in man-made capital over natural capital, resource depletion occurs as man-made capital is substituted for lower return natural capital. Once returns are equalized, both man-made and natural capital are accumulated. If labor and these forms of capital are complementary, the output effects outweigh the substitution effects in the long run, leading to net accumulation of natural as well as man-made capital as a result of such technological or market development. Population growth also induces investment in both man-made and natural resource capital in the long run by increasing their marginal products. However, population growth causes declining per capita levels of both natural and man-made capital and production per capita in the long run, if technology is fixed and decreasing returns to scale. The model thus supports the Boserupian argument of induced intensification and resource improvement, as well as the Malthusian argument of the impoverishing effects of population growth. However, population growth may also induce development of infrastructure, markets, and technological or institutional innovation by reducing the fixed costs per capita of these changes, though these developments may not occur automatically. Government policies can play a large role in affecting whether these potential benefits of population growth are realized. In addition, credit policies may reduce resource degradation caused by substitution of man-made for natural capital, by allowing farmers to accumulate man-made capital (such as fertilizers) without depleting their natural capital. Policies to internalize the external environmental costs of using man-made capital will reduce both types of capital and production, indicating a clear trade-off between addressing environmental concerns on the one hand and reducing poverty and promoting resource conservation investments on the other. By contrast, internalizing the external benefits of investments in resources increases wealth and production per capita in the long run. The ‘intertemporal externality’ due to a higher private than social rate of time preference does not justify interventions to promote investments in resource capital; rather it argues for the promotion of savings and investment in general.     

Exploring the impact of R&D and climate change on agricultural productivity growth: the case of Western Australia*

This article empirically examines the impact of R&D and climate change on the Western Australian Agricultural sector using standard time series econometrics. Based on historical data for the period of 1977–2005, the empirical results show that both R&D and climate change matter for long‐run productivity growth. The long‐run elasticity of total factor productivity (TFP) with respect to R&D expenditure is 0.497, while that of climate change is 0.506. There is a unidirectional causality running from R&D expenditure to TFP growth in both the short run and long run. Further, the variance decomposition and impulse response function confirm that a significant portion of output and productivity growth beyond the sample period is explained by R&D expenditure. These results justify the increase in R&D investment in the deteriorating climatic condition in the agricultural sector to improve the long‐run prospects of productivity growth.     

The research cost of adapting agriculture to climate change: A global analysis to 2050

Investments in agricultural research and development (R&D) made over the next few decades will likely prove critical in offsetting adverse climate change impacts on the global food system. In this study, we offer cost estimates of public R&D-led adaptation to climate change grounded in an explicit framework relating the flow of annual R&D expenditures to building knowledge capital and thereby raising productivity in agriculture. Our research uses a comprehensive collection of historical public agricultural R&D expenditure and a literature review of elasticity estimates linking knowledge stocks to agricultural productivity growth for key world regions. Given climate-driven crop yield projections generated from extreme combinations of crop and global circulation models, we find that offsetting crop yield losses projected by climate and crop models over 2006–2050 would require increased R&D adaptation investments of between $187 billion and $1,384 billion (in 2005 $PPP) if we invest between 2020 and 2040. This is 16–118% higher than global R&D investment if present spending trends continue. Although these costs are significant, worldwide R&D-led climate adaptation could offer favorable economic returns. Moreover, R&D-led adaptation could deliver gains in food security and environmental sustainability by mitigating food price increases and slowing cropland expansion.     

External and Internal R&D,Capital Investment and Business Performance in the Spanish Agri‐Food Industry

We examine the effects of external and internal expenditure on research and development on the business performance of industrial agri‐food enterprises. For this purpose, a data sample from the Encuesta de Estrategias Empresariales en España (Survey of Business Strategies in Spain) was used, which includes information on more than 400 businesses over the period 2000–2008. The econometric analysis uses quantile regressions to address the vast asymmetry of the variables and to identify non‐linear relationships. The results reveal interesting new findings on the impacts of R&D on the agri‐food industry. The most evident, although not the most immediately apparent, relationship concerns the positive effects of external R&D on business performance. Internal R&D was also revealed to be an important way of enhancing the productivity of SMEs. In addition, the modernisation of the production process through investment in capital goods continues to be the main path to improve competitiveness. However, support was found neither for the inverse relationship, that is the most profitable firms are those that spend the most on R&D, nor for complementarity between external and internal R&D. The latter would imply that the bulk of Spanish agri‐food firms have at most the capacity for only one type of R&D.     

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.     

The transformation of the Indian agricultural input industry: has it increased agricultural R&D?

Indian agricultural input industries have gone through a major transformation in the last 40 years. State owned firms grew during the Green Revolution and then stagnated or declined. Indian corporations that were protected from foreign competition are now exporters of agricultural tractors and pesticides. Foreign multinational corporations are rapidly increasing their role in the seed, pesticide, and tractor industries. Entry by large Indian firms and multinationals has increased competition in the input industries. Private agribusiness R&D in India grew from $23 million in 1985 to $250 million in 2009 in 2005 US dollars. This is the same time period as a transformation in the agricultural input industry, rapid growth in demand for agricultural inputs, breakthroughs in information technology and biotechnology, and changes in intellectual property rights. An econometric model was used to test whether the transformation of agricultural input industry was a major factor in the growth of R&D expenditure or not. This article analyzes a unique, firm level sales and R&D data set from the seed, pesticide, tractor, and fertilizer industries in 2000–2009. The estimated model indicates that agribusiness firms' R&D expenditures from 2000 to 2009 were positively related to variables associated with industry transformation such as firm size, ownership by multinationals, and declining industry concentration. The model also indicates that strengthening patent policy as well as growth in the size of research‐intensive industries like the seed industry contributed to the growth of agribusiness R&D in India.     

The Effects of Agricultural R&D on Chinese Agricultural Productivity Growth: New Evidence of Convergence and Implications for Agricultural R&D Policy

This article measures and compares the effects of agricultural research and development (R&D) on total agricultural factor productivity growth for 29 Chinese provinces from 1986 to 2011. Using the convergence test proposed by Phillips and Sul ( 2007 ), the study finds strong evidence of convergence in total agricultural productivity growth and positive correlation between growth and public investment in R&D. The analysis of convergence indicates that the productivity gap between different regions in China has lessened, suggesting agricultural productivity is convergent across all provinces in China. We find R&D being statistically and economically more important in technological catch‐up than in innovation. Human capital also plays a major role in productivity growth. The finding of strong positive inter‐region spillover effects implies that expanding cooperation across regions for public agricultural research is more efficient and training of researchers can improve total factor productivity, especially in less productive regions. Cet article mesure et compare les effets de la recherche et du développement agricoles sur la progression de la productivité totale des facteurs agricoles au sein de 29 provinces chinoises de 1986 à 2011. Au moyen du test de convergence proposé par Phillips et Sul ( 2007 ), l′étude révèle des preuves manifestes de convergence de la croissance de productivité agricole totale ainsi qu'une corrélation positive entre cette progression et les investissements publics en recherche et en développement. L'analyse de convergence démontre la diminution de l′écart de productivité dans les régions de la Chine, suggérant la convergence de la productivité agricole à la grandeur des provinces chinoises. La recherche et le développement sont ainsi proposés comme étant statistiquement et économiquement plus importants dans le rattrapage technologique que l'innovation. Le capital humain joue aussi un rôle majeur dans la croissance de la productivité. Les forts effets positifs de débordement entre les régions laissent entendre que la coopération grandissante en recherche agricole publique à travers les régions s'avère plus efficace, et que la formation des chercheurs peut améliorer la productivité totale des facteurs, surtout dans les régions moins productives.     

Productivity growth and the returns from public investment in R&D in Australian broadacre agriculture

Investment in R&D has long been regarded as an important source of productivity growth in Australian agriculture. Perhaps because research lags are long, current investment in R&D is monitored closely. Investment in R&D has been flat while productivity growth has remained strong, relative both to other sectors of the Australian economy and to the agricultural sectors of other countries. Such productivity growth, at a time when the decline in terms of trade facing Australian farmers has slowed, may have enhanced the competitiveness of Australian agriculture. The econometric results presented here suggest no evidence of a decline in the returns from research from the 15 to 40 per cent per annum range estimated by Mullen and Cox. In fact the marginal impact of research increases with research over the range of investment levels experienced from 1953 to 2000, a finding which lends support to the view that there is underinvestment in agricultural research. These results were obtained from econometric models which maintain strong assumptions about how investments in research and extension translate into changes in TFP. Hence some caution in interpreting the results is warranted.     

Productivity growth and inter-sector spill-over in Dutch horticulture, 1976–1995

This article calculates nonparametric measures of total factor productivity growth on Dutch horticultural firms in the period 1976–1995. Individual components of total factor productivity growth, i.e., efficiency change and technical change are regressed on socioeconomic factors reflecting the effects of the world oil crises, household and demographic characteristics, location, and investment in physical capital. Also, the article investigates the presence of inter‐sector spill‐overs between groups of firms with different specializations in Dutch horticulture.     

Six Decades of Total Factor Productivity Change and Sources of Growth in Bangladesh Agriculture (1948–2008)

This study applies the Färe–Primont index to calculate total factor productivity (TFP) indices for agriculture in 17 regions of Bangladesh covering a 61‐year period (1948–2008). It decomposes the TFP index into six finer components (technical change, technical‐, scale‐ and mix‐efficiency changes, residual scale‐ and residual mix‐efficiency changes). Results reveal that TFP grew at an average rate of 0.57% p.a. led by the Chittagong, Rajshahi, Rangpur, Dinajpur and Noakhali regions. TFP growth is largely powered by technological progress estimated at 0.74% p.a. Technical efficiency improvement is negligible (0.01% p.a.) due to stagnant efficiency in most of the regions. Decline in scale efficiency is also negligible (0.01% p.a.), but the decline in mix efficiency is high at 0.19% p.a. Decomposition of the components of TFP changes into finer measures of efficiency corrects the existing literature’s blame of a decline in technical efficiency as the main cause of poor TFP growth in Bangladesh. Among the sources, farm size, R&D investment, extension expenditure and crop specialisation positively influenced TFP growth, whereas the literacy rate had a negative influence on growth. Policy implications include encouraging investment in R&D and extension, land reform measures to increase average farm size, promotion of Green Revolution technology and crop diversification.     

Productivity and Structural Heterogeneity in the Brazilian Manufacturing Sector: Trends and Determinants

Structural heterogeneity (SH)—i.e. the existence of marked asymmetries in labour productivity among firms, along with low-productivity firms forming a large share of total employment—plays an important role in development theory. But only recently has the availability of micro data made the rigorous measuring of SH possible. This paper makes compatible different databases on manufacturing production, innovation and micro-social data for Brazil—PIA, RAIS, Secex and PINTEC—for 2000–2008 in order to measure SH and analyse its determinants. First, productivity groups are formed out of the universe of Brazilian manufacturing firms using a k-mean cluster methodology. Second, the variables affecting the productivity group to which each firm belongs are tested using an ordered probit model. The results indicate that increasing returns (captured by the firm's market share, the number of employees in innovative activities, workers' years of schooling and the accumulation of workers' experience), the technological intensity of the industry, learning by exporting and public support to R&D have driven productivity growth and reproduced SH through time, as predicted by development and evolutionary theories.     

The public R&D and productivity growth in Australia's broadacre agriculture: is there a link?

This paper investigates the dynamic relationships between research and development (R&D) expenditure and productivity growth in Australian broadacre agriculture using aggregate time series data for the period 1953 to 2009. The results show a cointegrating relationship between R&D and productivity growth and a unidirectional causality from R&D to TFP (total factor productivity) growth in Australian broadacre agriculture. Using the dynamic properties of the model, data from beyond the sample period are analysed by employing the variance decomposition and the impulse response function. The findings reveal that R&D can be readily linked to the variation in productivity growth beyond the sample period. Furthermore, the forecasting results indicate that a significant out‐of‐sample relationship exists between public R&D and productivity in broadacre agriculture.     

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.     

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.     

Technical change and irreversible investment under risk

A stochastic dynamic model was constructed to analyze investment decisions of an individual farme under risk in the presence of legibilities, embedded technical change and indivisible capital. An analytical solution was obtained and its local behavior studied by numerical methods. Optimal investment is obtained by regulating the difference between the desired and actual capital stocks between two barriers that define an inaction interval. While the desired capital drifts between the barriers, no action is taken. If the desired capital touches the upper barrier, the farmer invests pushing the average efficiency of the actual capital stock up. This in turn raises the desired capital even higher and contracts the inaction interval. If these effects are strong enough, the farmer will invest again until the potential gains of the technological package are exhausted. If the desired capital falls enough, the farmer disinvests, pushing down the average productivity and expanding the inaction interval. Disinvestment continues until it slops either because the inaction interval becomes so wide that it is no longer optimal to disinvest or because the actual capital stock is so small that it is no longer profitable to produce.     

要素市场扭曲对农业全要素生产率空间影响效应分解研究

目的 通过对要素市场扭曲下的农业全要素生产率的系统分析,以期为提升农业全要素生产率以及要素市场改革进程中的中国农业可持续发展提供参考。方法 文章基于资本、劳动力、土地等要素市场严重扭曲的事实,利用1997—2018年中国28个省（ 市、自治区）面板数据,通过构建空间计量模型检验要素市场扭曲对农业全要素生产率的空间影响及其溢出效应。结果 中国资本市场、劳动力市场、土地等要素市场扭曲度比较高,同时呈现显著地区差异;中国农业全要素生产率增长以技术进步驱动为主,大多数省份的技术效率不高,同时呈现出东部地区高于中西部地区的区域不平衡特点;要素市场扭曲对农业全要素生产率的影响为负,资本市场、劳动力市场、土地等要素市场扭曲在一定程度上阻碍农业全要素生产率的提升;要素市场扭曲对全要素生产率具有一定的空间溢出效应,也在一定程度抑制了全要素生产率增长。结论 考虑要素市场扭曲对农业全要素生产率影响的空间分析,更能客观反映当前不断深化的农业农村改革发展所引发的地区差距,应充分重视要素市场扭曲对农业全要素生产率的空间溢出效应,通过要素市场化改革,持续加大涉农政策调整,不断加大对农业农村生产经营的金融资源投入,逐步实现农业全要素生产率的全面提升。