Is the agricultural industry spared from the influence of the Australian carbon tax?

The Australian agricultural sector provides food security for the nation and affects the livelihood of farmers and the development of rural communities. This sector has been uneasy about the Australian carbon tax scheme introduced in July 2012 although the government has exempted the agricultural sector from the scheme. By employing a computable general equilibrium model and an environmentally extended Social Accounting Matrix, this article simulates the effects of different carbon tax policy scenarios. The modeling results show that all agricultural sectors will be affected negatively but to differing degrees. The household compensation policy will improve the performance of the poultry and fishing sectors, while having opposite effects in the other agricultural sectors. The inclusion of the agricultural industry into the carbon tax scheme will lead to a considerable further decrease in output, employment and profitability in the agricultural sector, and a significant further reduction in real GDP, but a much larger emission reduction.     

Competition in the US meatpacking industry: is it history?

The US meatpacking industry has become concentrated to a degree not experienced since the days of the ‘Beef trust’ a century ago. A number of mainstream studies have investigated if such concentration has been detrimental to competition. Just as earlier studies may have helped shape competition policy towards meatpacking a century ago, contemporary studies have made their way into current discussions and may shape competition policy at the turn of this century. This paper asks whether or not contemporary studies are useful in informing competition policy. After comparing how competition looks from the econometric vantage point with how it looks from the vantage point of the industry's 300-yr history, this article concludes that mainstream studies are more useful for a competition policy targeting conduct rather than structure.     

Spatial dependence in agricultural land prices: does it exist?

Trade-offs arise between spatial dependence and choice of functional form in agricultural land price hedonic models. We discuss these trade-offs and how they can create spurious spatial dependence. Using a land sales dataset with apparent spatial dependence, we implement a semiparametric approach avoiding potential problems with the functional form. The results show that in addition to being nonlinear, the impacts are also characterized by significance thresholds that are difficult to capture in a parametric model. More importantly, we fail to detect any spatial dependence demonstrating that inappropriate functional form can indeed be responsible for finding spatial dependence in hedonic models.     

How does gender affect the adoption of agricultural innovations?

Why do men and women adopt agricultural technologies at different rates? Evidence from Ghana suggests that gender‐linked differences in the adoption of modern maize varieties and chemical fertilizer result from gender‐linked differences in access to complementary inputs. This finding has important policy implications, because it suggests that ensuring more widespread and equitable adoption of improved technologies may not require changes in the research system, but rather introduction of measures that ensure better access for women to complementary inputs, especially land, labor, and extension services.     

What's driving innovation in small businesses in Australia? The case of the food industry

There is strong evidence that innovation is a primary driver of a nation's economic growth. As Australia continues to compete in the global economy, it is imperative that businesses should be innovative to improve their performance. In this paper, we evaluate the status and main drivers of innovation in small businesses in the food sector in Australia. Discrete choice modelling and bootstrapping procedures are applied to a panel of firm‐level data collected through the ABS Business Characteristics Survey (2006–2007 to 2010–2011 for the Australian Bureau of Statistics’ Business Longitudinal Database Confidential Unit Record File) to investigate the factors affecting the likelihood of small food businesses to innovate. Results show that businesses are more likely to innovate if they collaborate, have higher information and communication technology intensity, and use science, technology, engineering and mathematics skills. We also found that small food businesses, even at the subsector level, do combine different types of innovation when innovating. The propensity to innovate also increases for small businesses that have flexible working arrangements, face moderate‐to‐strong market competition, operate overseas and seek finance through debt and equity. The relative importance of these factors was found to vary between agricultural and nonagricultural food subsectors.     

Prediction of the purchase cost of agricultural land: The example of Côte-d’Or,France

The goal of this study is to develop an estimation procedure for the purchase cost of agricultural lands that are not necessarily on the market. To do so, we implement the first stage of the hedonic price method to estimate the price of agricultural lands that have been the object of real estate transactions. We work at the original scale of the parcel. The estimation results are then employed to predict the price for agricultural lands that have not been the object of transactions. This stage needs the construction of explanatory variables at the level of entire parcels. To reduce the acquisition cost of information, we focus on the French administrative department of Côte-d’Or (8,763 km² and 983,116 cadastral parcels). We show that the predictor proposed by Meulenberg (1965) best suits our dataset.     

Does research performance explain the “leaky pipeline” in Indian academia? A study of agricultural and applied economics

This article documents the existence of a leaky pipeline based on complete enumeration of faculty in two large public academic networks: state agricultural universities and institutions of the Indian Council of Social Science Research. We then examine if there are gender differences in the quantity and quality of research publications of women relative to men that can explain this. As proxies for quality and visibility, we use several metrics, including the number of citations, h-index, i10 index, and Scimago rank of the journal in which the research is featured. A novel aspect of the analysis is the comparison of time paths of cumulative publications over career paths of men and women professors. Our analysis of research performance is based on scraping publicly-available data sources, including faculty and institutional websites, and google scholar pages, and represents one-third (and likely positively selected) of all faculty in these institutions. Our results suggest that women are disadvantaged in terms of number of publications during early career years, however, the disadvantage is mitigated with seniority and women perform equally well or even surpass men later in their careers. Women are more likely to write single-authored articles and have fewer collaborators than men, indicating that they do not access collaborative spaces as much, and are less networked than men. In spite of this, there is suggestive evidence that women are more quality conscious than men. This nuanced look at research productivity suggests the source of the leaky pipeline does not arise from differences in performance.     

Recalibrating the reported returns to agricultural R&D: what if we all heeded Griliches?*

Zvi Griliches’ seminal analysis of hybrid corn spawned a large literature seeking to quantify and demonstrate the value of agricultural research and development (R&D) investments. The most important metric for quantifying the rate of return to R&D emerging from this literature is the internal rate of return (IRR), even though Griliches was sceptical of its usefulness as a metric in this context. An alternative metric, also reported by Griliches but not as commonly used in the subsequent returns‐to‐research literature, is the benefit–cost ratio (BCR). We assess how the implications of the returns to agricultural R&D literature may have differed if the BCR had become the standard rather than the IRR. We reveal that the IRR and BCR produce substantially different rankings of agricultural R&D projects, differences that persist even under various commodity and geographical aggregations of the BCR and IRR estimates. The median across 2,627 reported IRRs is 37.5 per cent per year. Using data gleaned from 492 research evaluation studies, we developed and deployed a methodology to impute 2,126 BCRs (median of 5.4) and modified internal rates of returns (MIRRs, median of 16.4 per cent per year) assuming a uniform 10 per cent per year discount rate and a 30 year research timeline.     

Promoting change or preserving the status quo? The consequences of dominating local politics by agricultural interests

Though there is a vibrant debate about the determinants of structural change in the agricultural sector, the broad consensus is that it is mainly driven by economic environment and farmers’ characteristics. In this paper, we show that the pattern of farm exits can also be importantly shaped by rural politics. Using municipality-level data for Poland and the period 1996–2010, we find a persistent correlation between the outflow from farming and the distribution of political power at the local level. Our results suggest that in municipalities where local governments were captured by agricultural interests there were fewer exits from farming and the land consolidation process was slower. While we cannot rule out that some omitted factors might be responsible for the documented statistical association, our findings are robust across different specifications and to focusing attention on various subsamples.     

Do rural public works influence agricultural wages? The case of the employment guarantee scheme in India

Abstract

Since growth alone will not make a significant difference to agricultural wages in an oligopsonistic labour market, a case is made out for special employment programmes along the lines of the Employment Guarantee Scheme (EGS) in the Indian state of Maharashtra. The EGS has a substantial effect on agricultural wages—especially long‐term. Diminution of income supplementation through this scheme, following a sharp reduction in the share of poor participants, was thus partly offset by higher agricultural wages. To the extent that this income diminution reflected exclusion of the poor from the EGS because of deficiencies in its design and implementation, prompt remedial action would enhance significantly their bargaining power vis‐a‐vis that of large landholders.     

Rural electrification in Cambodia: does it improve the welfare of households?

This study uses subsamples of socio-economic surveys from 2004 and 2011 to construct village panel data and apply the difference-in-differences (DID) method to examine the impact of rural electrification on household consumption and children’s education in Cambodia at the village level. Conditional on the DID assumption and observed village and household characteristics, rural electrification increased household consumption by approximately 16.6%. This study also finds that higher-quintile households benefited more. Additionally, rural electrification increased boys’ years of schooling completed by 0.85 and girls’ years of schooling completed by 0.62. It also increased the probability of having ever been enrolled in primary school for boys by approximately 9.7% but did not increase the probability of having ever been enrolled for girls.     

Is the growth of regionalism as significant as the headlines suggest? Lessons from agricultural trade

The proliferation of regional trade agreements (RTAs) has motivated a significant number of ex post econometric studies investigating their agricultural trade impacts. The general conclusion is that RTAs increase members’ trade by as much as 150%, on average. In this article, we demonstrate that previous empirical work likely misrepresents the impact of RTAs because of considerable heterogeneity in the depth of economic integration pursued by these agreements. Contrary to previous studies, the results reveal that RTAs are not universally trade creating, and some agreements appear to provide very little benefit. “Deep integration agreements,” on the other hand, are largely responsible for the impressive agricultural trade flow increases reported in the literature. Testing the hierarchy of RTAs largely confirms the theory: the benefits of regionalism are an increasing function of the depth of economic integration.     

The application of the Habitats Directive in the UK: Compliance or gold plating?

The implementation of the Birds and Habitats Directives in the UK has caused considerable unease within some parts of industry. Ports in particular have voiced concerns and have argued that the UK Government's interpretation of the Directives is more comprehensive than strictly necessary, likening it to ‘gold plating’. They have argued that this has placed the UK at a disadvantage to other European competitors. This paper explores these contentions and examines case histories to establish the veracity of the arguments.     

What drives innovation in the agricultural sector? A spatial analysis of knowledge spillovers

This article analyses the spatial concentration of agricultural innovation in Ireland. Influenced by the importance of knowledge spillovers, the roles of key innovation drivers are discussed. The analysis reveals a clear spatial concentration of agricultural innovation and while some of this variation can be explained by the spatial concentration of the sector, there are also other factors at play that drive the spatial distribution of innovation. More specifically, the distributions of research, education and advisory services show a similar spatial pattern to agricultural innovation, providing support for the existence of regional knowledge spillovers.     

Can flexible agricultural microfinance loans limit the repayment risk of low diversified farmers?

Using a unique data set from a commercial microfinance institution in Madagascar, this article investigates the credit risk of microfinance loans with flexible repayment schedules for crop farmers. Flexible repayment schedules allow a redistribution of principal payments during periods with low agricultural returns to periods when agricultural returns are high through predefined grace periods. We apply propensity score matching to investigate how different numbers of grace periods reflecting different levels of production diversification affect the credit risk of crop farmers. In this attempt, three delinquency categories reflecting various levels of credit risk are assessed. Moreover, we consider the specifics of the regions where loans were disbursed. Our results reveal that loans with predefined grace periods show significantly higher delinquencies. This effect is significant over all three delinquency categories for loans disbursed to low diversified crop farmers. For the more diversified farmers, this effect is only significant for the lowest delinquency category. Hence, predefined grace periods might bridge periods with low agricultural returns but come at the cost of higher credit risk for the lender. The magnitude of these effects is, however, small.     

The determinants of outward foreign direct investment: a firm‐level analysis of Indian manufacturing

This paper analyses the determinants of the overseas direct investment activity of Indian manufacturing enterprises. In general, several firm‐specific characteristics such as age, size, R&D intensity, skill intensity and export orientation are observed to be important explanatory factors in the outward foreign direct investment (O‐FDI) activity of Indian firms. The impact of age and size on O‐FDI has been observed to be non‐linear. The product differentiation activities and the productivity of firms are other useful factors in overseas production expansion in certain industries. The study reveals that the performance of these firm‐specific variables is subject to sectoral dynamics. Internationalization of production activities of Indian firms has been observed to be partly fuelled by policy liberalization during the 1990s.     

Beyond the agroecological and sustainable agricultural intensification debate: Is blended sustainability the way forward?

With the sustainable development goals has come a renewed global interest in ending hunger and achieving food security, while preventing natural resource degradation. Despite this renewed interest and increased commitments to invest in agricultural development, there is an outstanding debate over the technological trajectories to sustainability. The debate centres on sustainable agricultural intensification (SAI) and agroecological intensification (AEI) pathways to agricultural sustainability. Using a systematic literature review approach, this study examines the debate over AEI and SAI. This study employs a theoretical framework based on the economic, social, and ecological dimensions of sustainable agriculture within a policy and institutional space. Based on the sustainability dimensions, a discourse analytical technique is applied to unravel the debate. The results reveal differences in actor composition in the SAI and AEI pathways. Both pathways aim to promote food security with optimal and sustainable use of inputs; however, the actors differ on discourse relating to the concept of farming, the role of genetic engineering, the scale of operation, land use and soil health. Resolving these differences requires a blended sustainability approach that moves beyond the current AEI and SAI debate by acknowledging the tradeoffs and synergies of the socio-economic and ecological dimensions.     

Disaggregating the Demand for Pesticides: Does it Matter?

This paper analyzes the demand of French farmers for pesticides by disaggregating among the three main categories of pesticides. We estimate the demand elasticities of herbicides, insecticides, and fungicides with respect to pesticide expenditure, and also consider crop differentiation. We retain a Linear Approximated Almost Ideal Demand System specification. A Full‐Information Maximum Likelihood estimation procedure is used to deal with corner solution problems and censored data. The estimation is based on two cross‐sections covering pesticide use of three major crops cultivated in France in 2001 and 2006. Our results show that farmers' response to price variation is very low, especially for 2001. Furthermore, elasticities of pesticide expenditure are significantly different across categories: the highest levels are obtained for fungicides and the lowest ones for insecticides. Finally, we find higher own‐price elasticities for herbicides and fungicides than for insecticides, which are less frequently used.