The Economic Viability of Cocoa Crop Insurance in Ghana

This study was motivated by the fact that Ghanaian cocoa producers face lower yields than other main cocoa producing counties which in turn increases food insecurity for smallholder producers. In addition, low yields experienced by Ghanaian producers is a driving factor for forest degradation and deforestation as cocoa producers encroach further into previously undisturbed forests in efforts to increase their incomes. There are currently production methods to achieve higher yields readily available in Ghana; however, many producers choose not to adopt these methods because they are seen as too risky, or simply cannot adopt them due to financial/credit constraints. A common rationale for producers not adopting new technologies is that smallholder producers are risk averse and find it difficult to risk the little capital they may have. Smallholder producers frequently forego opportunities because they are vulnerable to adverse shocks such as crop failure that can move them into or deeper into poverty. Crop insurance could mitigate these risks but there is currently no crop insurance available for cocoa in Ghana. The Climate-Smart Cocoa (CSC) Working Group has proposed offering crop insurance for producers who follow the practices of CSC. This study estimated the average yields and yield variation (risk) between two groups of producers: (1) those who followed CSC practices: have training for efficient agrochemical input usage, used inorganic fertilizer, and practiced shade management (appendix 5) and (2) those who did not use CSC practices: no input-use training, no shade management, but did use inorganic fertilizer. The objectives of this study were: (1) to estimate yield differences among producers who follow CSC and non-CSC practices (2) estimate the impact of CSC practices on risk (i.e. yield variation) using percent chance of indemnity payments to producers and relative standard deviation of yield as measurements, and (3) estimate potential revenue gains through following CSC practices. To investigate these objectives, a regression model was estimated to predict cocoa yields using historical yield for 19 districts in Ghana for the copping seasons of 2010-2011 and 2011-2012. Regression results were then used to identify average yields at the district level, yield variance, and fair-market premiums for producers who followed CSC practices and those who did not in 19 districts of Ghana. The results of the study show that producers who followed the CSC recommended practices had higher yields, less risk, and higher gross revenue in every district of the study. Meaning, producers can obtain higher incomes by following CSC on lands that are already under cocoa cultivation as well as income stability through crop insurance. By obtaining these benefits, producers are not allowed to encroach into undisturbed forests and remain in the CSC program. Therefore, CSC can not only increase farm income but also reduce deforestation

Economic Growth in the Philippines: A Spatial Econometrics Analysis at the Provincial Level, 1991 – 2000.

Investigating the determinants of economic growth remains a long research tradition in the economic growth literature. Most studies in this literature have tried to link economic growth and different economic factors using either neoclassical growth theories or endogenous growth approaches. These studies apply these growth theories to identify the factors responsible for the observed differences/disparities between regions or countries. While early studies focused on cross-country analyses, the recent most studies consider regions or sub-national entities as unit of analysis. This has raised the question of whether theories developed for cross-country analysis could be automatically applied for regional or sub-national analysis. Given the profound difference between nations and regions in terms of degree of openness, theories developed in cross-country analysis may not be automatically applied in regional analysis (see Mangrini, 2004). However, properly accounting for the spatial interaction effects may provide a way to use these theories in regional analysis. Regional analysis of economic growth has therefore spurned the development of specialized quantitative methods designed to account for the spatial dimensions of higher resolution, spatially referenced data. The goal of this research is to investigate the process of regional economic growth in the Philippines focusing on provincial data. Previous studies on regional growth within the Philippines have analyzed the regional growth process following neoclassical growth models or endogenous growth models without explicitly modeling spatial dependence between regions and the role of spillover effects. Traditional growth regressions with ordinary least squares may yield biased or inconsistent estimates if spatial autocorrelation is present but have been accounted for. This paper uses spatial econometrics techniques to estimate three theoretical growth models: the unconditional growth model, the Solow model and the Mankiw Romer and Weil model. Investment and human capital were found to be the main drivers of economic growth.Community/Rural/Urban Development, Research and Development/Tech Change/Emerging Technologies, Research Methods/ Statistical Methods,

Guidance and Technology: An Assessment of Project Intervention and Promoted Technologies

This study used primary data, collected as part of theCereal Systems Initiative for South Asia (CSISA) project tocompare net returns and cost efficiency between farmers who arebeneficiaries of the project to farmers who are not beneficiaries.Additionally, non-beneficiary farmers who use the promotedtechnologies from the project are compared to other nonbeneficiaryfarmers who do not use the promoted technologies.Propensity score matching is used to account for selection biaswhen comparing the outcomes of beneficiary and control groups.Results indicate higher return for project recipients as well asfarmers who use the CSISA promoted resource-conservingtechnologies (RCTs)

Technical Efficiency of Resource-Conserving Technologies in Rice -Wheat Systems: The Case of Bihar and Eastern Uttar Pradesh in India

This study has evaluated the technical efficiency of farmers engaged in rice-wheat cropping systems in North-eastern India, who are using Resource-Conserving Technologies (RCTs) such as Zero Tillage (ZT) and Direct Seeded Rice (DSR). These technology promotions are being carried out under the intervention of the Cereal Systems Initiative for South Asia (CSISA) project, primarily funded by the Bill and Melinda Gates Foundation. The resource-conserving technologies are being promoted as part of conservation agriculture supported by the project. The data used in this study have been derived from the socioeconomic surveys conducted in Eastern Uttar-Pradesh and Bihar in North-eastern India during the kharif season of 2009 and rabi season of 2010. A stochastic frontier analysis was carried out to investigate and compare the determinants of technical efficiency among the farmers receiving intervention and those who are not. The study has revealed that farmers receiving CSISA intervention have realized higher levels of technical efficiency. Additionally, farmers who are receiving subsidies and farmers who are planting more diversified crops have higher levels of technical efficiency.Conservation agriculture, Direct seeded rice, India, Resource-conserving technology, Technical efficiency, Stochastic frontier, Zero tillage, Agricultural and Food Policy, O30, Q18, O22,

Low-Frequency Observations of the Moon with the Murchison Widefield Array

A new generation of low-frequency radio telescopes is seeking to observe the redshifted 21 cm signal from the epoch of reionization (EoR), requiring innovative methods of calibration and imaging to overcome the difficulties of wide-field low-frequency radio interferometry. Precise calibration will be required to separate the expected small EoR signal from the strong foreground emission at the frequencies of interest between 80 and 300 MHz. The Moon may be useful as a calibration source for detection of the EoR signature, as it should have a smooth and predictable thermal spectrum across the frequency band of interest. Initial observations of the Moon with the Murchison Widefield Array 32 tile prototype show that the Moon does exhibit a similar trend to that expected for a cool thermally emitting body in the observed frequency range, but that the spectrum is corrupted by reflected radio emission from Earth. In particular, there is an abrupt increase in the observed flux density of the Moon within the internationally recognized frequency modulated (FM) radio band. The observations have implications for future low-frequency surveys and EoR detection experiments that will need to take this reflected emission from the Moon into account. The results also allow us to estimate the equivalent isotropic power emitted by the Earth in the FM band and to determine how bright the Earth might appear at meter wavelengths to an observer beyond our own solar system

First Season MWA EoR Power Spectrum Results at Redshift 7

The Murchison Widefield Array (MWA) has collected hundreds of hours of Epoch of Reionization (EoR) data and now faces the challenge of overcoming foreground and systematic contamination to reduce the data to a cosmological measurement. We introduce several novel analysis techniques such as cable reflection calibration, hyper-resolution gridding kernels, diffuse foreground model subtraction, and quality control methods. Each change to the analysis pipeline is tested against a two dimensional power spectrum figure of merit to demonstrate improvement. We incorporate the new techniques into a deep integration of 32 hours of MWA data. This data set is used to place a systematic-limited upper limit on the cosmological power spectrum of Δ2≤2.7×104 mK2 at k=0.27 h~Mpc−1 and z=7.1, consistent with other published limits, and a modest improvement (factor of 1.4) over previous MWA results. From this deep analysis we have identified a list of improvements to be made to our EoR data analysis strategies. These improvements will be implemented in the future and detailed in upcoming publications.Astronom

Low frequency observations of linearly polarized structures in the interstellar medium near the south Galactic pole

We present deep polarimetric observations at 154 MHz with the Murchison Widefield Array (MWA), covering 625 deg^2 centered on RA=0 h, Dec=-27 deg. The sensitivity available in our deep observations allows an in-band, frequency-dependent analysis of polarized structure for the first time at long wavelengths. Our analysis suggests that the polarized structures are dominated by intrinsic emission but may also have a foreground Faraday screen component. At these wavelengths, the compactness of the MWA baseline distribution provides excellent snapshot sensitivity to large-scale structure. The observations are sensitive to diffuse polarized emission at ~54' resolution with a sensitivity of 5.9 mJy beam^-1 and compact polarized sources at ~2.4' resolution with a sensitivity of 2.3 mJy beam^-1 for a subset (400 deg^2) of this field. The sensitivity allows the effect of ionospheric Faraday rotation to be spatially and temporally measured directly from the diffuse polarized background. Our observations reveal large-scale structures (~1 deg - 8 deg in extent) in linear polarization clearly detectable in ~2 minute snapshots, which would remain undetectable by interferometers with minimum baseline lengths >110 m at 154 MHz. The brightness temperature of these structures is on average 4 K in polarized intensity, peaking at 11 K. Rotation measure synthesis reveals that the structures have Faraday depths ranging from -2 rad m^-2 to 10 rad m^-2 with a large fraction peaking at ~+1 rad m^-2. We estimate a distance of 51+/-20 pc to the polarized emission based on measurements of the in-field pulsar J2330-2005. We detect four extragalactic linearly polarized point sources within the field in our compact source survey. Based on the known polarized source population at 1.4 GHz and non-detections at 154 MHz, we estimate an upper limit on the depolarization ratio of 0.08 from 1.4 GHz to 154 MHz.Astronom

Correction to: Cluster identification, selection, and description in Cluster randomized crossover trials: the PREP-IT trials

An amendment to this paper has been published and can be accessed via the original article