基于空间效应的农田水利投资对农业全要素生产率的影响

在构建包含农田水利基础设施投资在内的农业超越对数随机前沿生产函数的基础上,利用随机前沿法测算我国31个省(市、自治区)1996—2015年农业全要素生产率,对测算的结果通过空间计量方法分析农业全要素生产率的空间特征及农田水利投资对其产生的影响。结果表明:我国各省(市、自治区)农业全要素生产率整体增长呈现上升趋势;横向和纵向的分析结果显示其增长具有一定的区域性和地域集聚性;农田水利投资对农业全要素生产率的影响为正,且具有较弱的溢出效应,其中直接效应值为0.286 5,间接效应值为0.057 4,总效应值为0.343 9。     

The Impact of Seed Policy Reforms and Intellectual Property Rights on Crop Productivity in India

The growth of private investment in developing‐country agriculture, new advances in the biological sciences, and rapid integration of developing countries into the global trading system has heightened interest in the topic of seed market and intellectual property rights’ (IPRs) policies among public policy‐makers, corporate decision‐makers and other actors in the agricultural sector. But there are still unanswered questions about whether emerging and evolving seed policy reforms and IPR regimes in developing countries will contribute to increasing crop productivity and improving food security. This paper attempts to answer some of these questions by focusing specifically on the case of India, the regional leader in implementing seed policy reforms and IPRs in agriculture. Findings indicate that maize and pearl millet yields grew significantly during the last two decades due partly to the combination of (1) public policies that encouraged private investment in India’s seed industry during the 1980s, and (2) biological IPRs conferred by hybridisation that conveniently married the private sector’s need for appropriability with the nation’s need for productivity growth. Although past lessons are not an indication of future success, this convergence of policy solutions and technology opportunities can be replicated for other crops that are vital to India’s food security.     

Agricultural dynamics in Thailand, Indonesia and the Philippines

The introduction of new high-yielding varieties of cereals in the 1960s, known as the green revolution, dramatically changed the food supply in Asia, as well as in other countries. In the present paper we examine, over an extended period, the growth consequences for agriculture in Indonesia, Thailand and the Philippines. Despite geographical proximity, similar climate and other shared characteristics, gains in productivity and income differed significantly among the countries. We quantify these differences and examine their determinants. We find that the new technology changed the returns to fertilisers, irrigated land and capital, all of which proved scarce to varying degrees. Complementing technology-related changes in factor use were investments, public and private, driven in part by policy. We find that factor accumulation played an important role in output growth and that accumulations from policy driven investments in human capital and public infrastructure were important sources of productivity gains. We conclude that policies that ease constraints on factor markets and promote public investment in people and infrastructure provide the best opportunities for agricultural growth.     

Technology and the future bioeconomy

New discoveries in life sciences and the challenge of climate change are leading to the emergence of the bioeconomy where basic methods of advanced biology are applied to produce a wide array of products while also improving environmental quality. The emergence of the bioeconomy is a continuing evolutionary process of transition from systems of mining nonrenewable resources to farming renewable ones. This transition benefits from the modern tools of molecular biology that have expanded the human capacity to breed new organisms and utilize them to increase productivity in agriculture and fisheries as well as produce a wide array of products that were extracted in the past. This transition is leading to the integration of the agricultural sector with the energy and mineral sectors. The introduction of biotechnology has already improved the productivity of medicine as well as agriculture but, in the case of agriculture, has encountered resistance and regulatory constraints. The evolution of the bioeconomy requires continuous public investment in research and innovation as well as the establishment of a regulatory framework and financial incentives and institutions that would lead to continuous private sector investment in the development and commercialization of new products. One of the biggest challenges is the development of a regulatory framework that would control possible human and environmental externalities from new biotechnology products and, at the same time, not stifle innovation.     

Is public investment complementary to private investment in Indian agriculture? Evidence from NARDL approach

The issue of complementarity between public farm investment and private farm investment in Indian agriculture is an unsettled empirical question in the literature, which has not been studied adequately. Few studies analyzing the trends of both types of investments have produced contradictory results. Thus, this study attempts to bridge that gap, by examining the hypothesis of crowding‐in/crowding‐out effect of public sector investment on private investment. Time series data for a period of 45 years from 1971 to 2015 has been used. Adopting a ‘nonlinear auto‐regressive distributive lag’ (NARDL) model the study confirms a strong crowding‐in effect of public investment on private investment in short run, but relatively a weak complementarity between the two over long‐run. Moreover, the public canal intensity as a major component of public investment has been observed to have much stronger effect on private investment than the public investment itself. It is also found that private investment is constrained by its own lagged values, institutional credit and terms of trade during both short‐run and long‐run. The policy suggestion of this study calls for an immediate arrest of declining trend of public investment.     

PRICISM v. STRUCTURALISM IN SUB-SAHARAN AFRICAN AGRICULTURE

A re-examination of data frequently used to support the notion of price discrimination against agriculture in Sub-Saharan Africa suggests that the extent of agricultural taxation has been overstated. In addition, a review of the evidence on the aggregate agricultural supply response to price indicates that elasticities are low, with the most plausible estimates lying in the range 0.2–0.4. Eight structural constraints explaining the poor supply response, to which Sub-Saharan Africa is particularly prone, are identified. Further evidence is presented to show that output responds more significantly to structural factors than to price, and that investment in rural infrastructure will bring about an improved response to price. Capital constraints limit price-induced private investment, so that public sector led investment in new technology and rural infrastructure would appear to be the single most important strategy for reversing the decline in African agriculture.     

Global agriculture R&D and the changing aid architecture

Agriculture research knowledge and technology that transcends national borders has played a crucial role in enhancing developing country productivity growth over the past 50 years. The demand for international agriculture research (IAR) continues to be strong today even while becoming increasingly differentiated by the stage of development that a particular country or region is in. The supply of IAR to developing country research programs is, however, becoming increasingly constrained by: variable donor support; a push toward downstream product adaptation and dissemination activities relative to innovation and product development; and a lack of clear links between international public good research and national agriculture development priorities. Country‐level donor coordination and alignment mechanisms, specified in the Paris Declaration on Aid Effectiveness, do not explicitly account for the role of IAR in the development process. While the movement toward national ownership of its development agenda and donor alignment around it is unquestionably good, an unintended consequence could be a break in the R&D pipeline that supplies public good research and technologies for enhancing developing country agriculture productivity growth. The article presents options for rebuilding synergies between international public good research and national agriculture development priorities.     

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.     

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.     

Increasing agricultural productivity while reducing greenhouse gas emissions in sub‐Saharan Africa: myth or reality?

The motivation for this study stems from two major concerns that are interlinked. The first is the decades long food insecurity crisis faced by sub‐Saharan African (SSA) countries which is still prevalent. The second is the negative impact greenhouse gas (GHG) emissions from agriculture may have on future food production and which is likely to worsen the food insecurity problem. The conundrum SSA farmers face is how to increase food output through productivity growth while minimizing GHG emissions. To measure changes in productivity growth and GHG emissions, this study evaluates the agricultural performance of 18 SSA countries by utilizing the Malmquist–Luenberger index to incorporate good and bad outputs for the years 1980–2012. The empirical evidence demonstrates that productivity is overestimated when bad outputs are not considered in the production model. The analysis provides a better understanding of the effectiveness of previous mitigation methods and which informs an appropriate course of action needed to achieve the twin objectives of increasing agriculture productivity while reducing GHG emissions.     

Modeling the length and shape of the R&D lag: an application to UK agricultural productivity

This article updates total factor productivity (TFP) growth in UK agriculture from 1953–2005 and shows that public and private research and returns to scale explain TFP. Cointegration and causality tests are used to investigate the validity of attempts to explain UK agricultural productivity with R&D and related technology variables. Then, the length and shape of the lag structures are modeled and compared with the structures that are commonly imposed on the data. The rates of return (ROR) to R&D using the data determined lags differ considerably from those obtained by imposing lag shapes. These comparisons show that the ROR to public R&D are sensitive to the lag shape as well as its length and that the omission of other technology variables, such as mechanical and chemical patents pertaining to agriculture and farm size can bias the ROR.     

Evaluating the benefits from transport infrastructure in agriculture: a hedonic analysis of farmland prices

Access to transport infrastructure generates a range of benefits to the agriculture sector; many of which are difficult to measure directly. In this study, we use hedonic regression analysis of farm‐level data to examine the contribution of transport infrastructure to the value of farmland traded between 2009 and 2011 through its impact on farm productivity. We show that a one per cent reduction in the cost of transportation between farms and ports leads to a 0.33 per cent increase in land prices, and there is no significant difference between rail and road transportation at the aggregate level. Moreover, the benefits generated by particular types of infrastructure services vary between industries and with farm size, suggesting there are multiple channels through which public infrastructure influences agricultural production. Our findings help to inform future investment decisions in Australia and in other countries by providing new evidence regarding the benefits of existing transport infrastructure.     

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.     

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.     

Isolation and agricultural productivity

This article examines the mechanisms that transmit isolation into productivity. In particular, we study the effect of isolation and transport infrastructure on welfare and agricultural productivity in the case of Madagascar. Madagascar is a good case study given the bad shape of its infrastructure and therefore the significant variation in isolation. Based on comprehensive household survey data combined with a census of communes, we discover a strong poverty–isolation relationship. Further we find the inverse relationship between agricultural productivity and isolation to be surprisingly strong. We isolate the following reasons why productivity might decline with isolation: (i) transportation‐induced transaction costs, (ii) the inverse relationship between plot size and productivity, (iii) increasing price variability and extensification onto less fertile land, and (iv) insecurity.     

Fueling agricultural growth in India: Some reflections

Indian agriculture is experiencing under-performance despite increased attention given to it in the recent past. This paper analyzes the disparities in agricultural growth across Indian states and explores the determinants of agricultural growth, using Panel Corrected Standard Error approach. Analysis using beta convergence shows that the disparities across the state's agricultural growth are narrowing down for the period 1980–1981 to 2011–2012. However, to stimulate growth in the states where agriculture is lagging behind, a higher emphasis on increasing the area under irrigation, expenditure on agricultural research, area under fruits and vegetables, number of regulated markets, length of roads, cold storage facilities and institutional credit for investment purposes is needed. Private sector should be involved in public–private-partnership mode for improving the infrastructure in this sector.     

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.     

How Productive Is Infrastructure? A New Approach and Evidence from Rural India

There have been competing arguments about the effect of public infrastructure on productivity. Level-based and debate-based regressions often lead to different estimates. To help reconcile this difference, this article applies the GMM method to first test for causality to check for length of lagged relationships and the existence of reverse causality before specifying a final model and deciding the estimation procedure. This approach is illustrated using a panel data set for India. The results show that infrastructure development in India is productive, providing supporting evidence to reverse the trend of declining investment in rural infrastructure.     

Productivity growth, catching-up and uncertainty in China''s meat trade

The potential role of China as a major importer of agricultural products, and the likely impact on world markets has been a topic of considerable debate over the past decade. In this paper, we focus specifically on the livestock sector and develop a detailed analysis of productivity growth in China’s pig and poultry production along with projections of China’s likely meat trade in the year 2010. We use a general equilibrium model which permits us to explore the sensitivity of our projections to macro-economic uncertainty as well as uncertainty in livestock productivity growth rates. Our analysis shows that China’s net trade position is very sensitive to both of these factors. With high livestock productivity growth and a slow-down in the rest of the economy, China could be a substantial competitor in export markets by 2010. On the other hand, slow productivity growth in livestock production, coupled with a rapidly growing macro-economy could transform China into a major market for future meat exports.