An empirical study of the patterns and sources of technical inefficiency in traditional and HYV rice cultivation in Bangladesh

Production frontiers are estimated from survey data from a village in Bangladesh to examine the technical efficiency of farmers in the cultivation of traditional and high‐yielding‐variety (HYV) rice. In spite of much higher yields, HYV cultivation displays lower technical efficiency and much greater variability in efficiency. Also, efficiency is not independent of household endowments in that small farmers, and/or those with the least education and growing experience, are least efficient. Policies that promoted education and provided smaller farmers with greater access to public services would promote efficiency and equity, and help reduce HYV yield variability.     

Demographic pressure,technological innovation and welfare: The case of the agriculture of Bangladesh

In the early years of its introduction, the HYV technology was widely regarded as a technical breakthrough that would bring about rapid agrarian progress and a revolutionary improvement in the standard of living of the farm population. Three decades later the promise of the new technology remains unfulfilled. This article argues that the adoption of the HYV technology in the agriculture of Bangladesh was determined mainly by an acute demographic pressure. Since the non‐agricultural sectors did not expand sufficiently rapidly, there was a tremendous pressure on agriculture to accommodate the additional workforce. The imperative to employ a larger workforce and feed a rising population forced the farmers to adopt the labour‐intensive, land‐augmenting HYV technology. The welfare of the farmers did not show any secular increase with the switch to the new technology.     

Adoption of Performance Measurement: Evidence of Mexican Municipalities

In this article we define and estimate empirical models to study the determinants of adoption of performance indicators by Mexican municipalities. Building upon previous studies, we prove whether the adoption decision depends on the locality size, variables related to resources, and the political/cultural differences. We implement the empirical models using the data from 300 municipalities for the year 2000. Unlike related literature that relies on surveys applied to local officials, our data from independent and dependent variables were obtained from different sources in order to avoid common-source bias. The estimated logit and probit models confirm the hypotheses.     

Resource Management under Climatic Risk: A Case Study from Niger

In this article, we develop an empirical model of an agro-pastoral system subject to high climatic risk in order to test the impact of rainfall variability on livestock densities, land allocation patterns and herd mobility observed at the community level. Also, because grazing land is a common-pool resource, we determine the impact of cooperation on these decision variables. To capture different abilities of communities to cooperate in managing these externalities, we construct indices comprised of factors considered to affect the costliness of achieving successful cooperation. We then test hypotheses regarding the impact of rainfall variability and cooperation, using data collected in a semi-arid region of Niger. Results indicate that rainfall variability initially leads to higher densities, but the impact becomes negative as variability increases still further. This result indicates that the benefits of accumulating large herds in variable environments are eventually offset by the increasing probability of large losses. Mobility in the current period is strongly related to current rainfall, and is also positively related to long-term rainfall variability. Communities with characteristics hypothesised to favour cooperation have lower stock densities and greater herd mobility. Neither cooperation nor rainfall variability has a significant impact on the proportion of land allocated to crops or common pastures.     

Administrative innovation in municipal government

The purpose of this study is to identify those factors which account for administrative innovation in municipal government bureaucracies. Two dimensions of administrative innovation are examined: management and technology. Management innovation refers to procedures and methods by which policies are implemented. Technology innovation refers to the adoption of new physical products or processes. Multiple indicators of specific innovative practices are used to create a management scale and a technology scale and the two scales are then combined to create a composite administration innovation scale. In order to explain the dimensions of innovation the study employs a model comprised of three sets of independent variables: community variables, political system variables, and bureaucratic variables. Multiple regression analysis is used to examine the relationship between each set of independent variables and the dipensions of innovation. A second stage of analysis combines the three sets of explanatory variables into a single equation for each type of innovation. The results indicate that the three sets of variables are of significant power in explaining innovation, although as one moves from community variables to political variables to bureaucratic variables there is a decline in the amount of variation explained. Some variables are more important for certain types of innovation than for others, but population size, community growth rate, and electoral competition cut across the various types of innovation.     

Abating the Consequences of Managerialism on the Forgotten Employees: The Issues of Support,Control, Coping,and Pay

With the widespread and continuing adoption of managerialism in the public sector, ignoring the impact of change on employees could prevent managerialism from achieving its goals. Subsequently, this study investigates the efficacy of an augmented demand-control-support (D-C-S) model in predicting three of the key employee outcomes in the context of organizational change—psychological health, job satisfaction, and organizational commitment. Analyses of a survey of 207 employees in the Australian public sector, a sector that has undergone, and continues to undergo, substantial change toward managerialism, found that the augmented D-C-S model explained a significant proportion of the employee outcomes in the public sector context. The most important variables were work-based social support and job control. Coping style and perceptions of work conditions, such as pay, were also significant. The augmented D-C-S model provides a useful, proven tool for managers operating within the contemporary public sector.     

Population growth and the adoption of new technology in colonial Taiwanese agriculture

This paper argues that one response to the mortality decline in Taiwan and the consequent rapid population and labour force growth which increased the labour—land ratio was the adoption of a new labour using output‐increasing variety of rice. The differential rates of adoption of the new rice in the seven prefectures of Taiwan and across time are analysed in terms of the lagged natural increase in population, i.e. increased in the labour‐land ratio. The results are then contrasted with the Malthusian model.     

The Trade-Induced Learning Effect on Growth: Cross-Country Evidence

One of the important trade effects on growth is technology diffusion through learning by doing. Chuang [1998] proposed a trade-induced learning theory in which the nature of traded goods and the trading partners are two key factors determining the effectiveness of the trade-induced learning. The former conveys the characteristics that a country can learn; the latter determines the level of technology from which a country can learn. Using cross-country data, this article constructs a set of the trade-induced learning variables by taking into account trading partners and the characteristics of the traded goods and further tests the trade-induced learning hypothesis. The results show that holding other variables constant, trade-induced learning has a positive and significant effect on growth and the estimated effect implies that a one-standard-deviation increase in the trade-induced learning variable is estimated to generate an effect of between 0.4 to 1.0 percentage points on the annual growth rate. Robustness test shows that the trade-induced learning variable passes the extreme-bound analysis and also outperforms other conventional trade variables advocated in the literature.     

Social Impact Bonds: Blockbuster or Flash in a Pan?

Despite the general hype, Social Impact Bonds’ (SIB) rate of adoption is still modest. The mismatch between widespread interest and actual adoption raises interesting questions as to whether we are still in the early adoption phase of SIBs and massive diffusion is yet to come, or we are observing a marginal phenomenon. In order to shed some light on this issue, the paper provides a review of the cases in which the SIB model has been already applied, exploring the specific configuration employed, with the purpose to identify regular configuration patterns and their deviation from a prototypical structure.     

Sociological explanations of economic growth

Even if questions of how resources aredistributed within and between societies are our main concern, we must continue to grapple with the issue of the causes of economic growth because economic growth and level of development continue to be among the most important causes of inequality, poverty, unemployment, and the quality of life. This paper’s dependent variable is the economic growth rate of 55 less developed countries (LDCs) during two time periods—1970–78 and 1965–84. The causal model consists of control variables—level of development and domestic investment in 1965—and a variety of independent variables drawn from major sociological theories of economic growth published during the last three decades. Multiple regression analysis shows that, net of the effects of the two control variables, the variables that have the strongest effect on economic growth rates are: (1) direct foreign investment, which has a negative effect; (2) the proportion of the population in military service; and (3) the primary school enrollment ratio, both of which have positive effects of economic, growth. On the other hand, variables drawn from some theories receive no empirical suport. The mass media of communications, ethno-linguistic heterogeneity, democracy and human rights, income inequality, and state-centric theory’s key variable—state strength—all fail to show any significant impact on economic growth rates when the control variables and the significant independent variables are held constant. The theoretical implications of these findings are discussed.     

Fertility,family planning,and development: Indirect influences

This paper focuses on the indirect influences on changing fertility and on the direct and indirect influences on family planning effort. Complete data on the variables under consideration were gathered from a variety of sources for 65 developing countries. The results here should be generalized only to high fertility, high mortality, low education, and low per capita gross national product nations. 1) Some social variables, like education, are more important than others for explaining fertility and family planning effort. The treatment of social setting as a single variable obscures the importance of lower level education (literacy, primary, and secondary school enrollment) for fertility and family planning. 2) Ignoring the indirect influences on fertility may lead us to understimate the importance of some variables on fertility, and perhaps to overestimate the importance of others. When both direct and indirect effects (the latter through family planning effort) are examined, the impact of education increases to nearly equal that of family planning effort in 3 of the 4 models developed here. 3) Program effort can be explained at least as well with a single variable (literacy or female school enrollment) as with the composite variable "social setting." 4) In addition to its importance in explaining fertility, education may also be important in explaining mortality. 5) It appears that the absolute and relative status of women may be an important variable which has not yet been adequately measured. Overall, the results of this study lend additional support to the position that, in addition to family planning effort, education may play a more crucial role than is obvious in fertility reduction in developing countries.     

Innovation and growth in traditional agriculture of the lower Volta,Ghana

This article addresses the important question of whether foreign direct investment enhances economic growth and labour productivity in Mexico, both from a theoretical and empirical perspective. After briefly reviewing the Mexican experience with net FDI inflows during the 1990s, the article presents a simple endogenous growth model which explicitly incorporates any positive (negative) externalities generated by additions to the foreign capital stock. Using cointegration analysis, the article estimates a dynamic labour productivity function for the 1960-95 period that includes the impact of the growth rate in the stocks of both private and foreign capital (as opposed to the flows) and the economically active population (EAP) (rather than the rate of population growth). The error correction model (ECM) estimates suggest that increases in both private ad (lagged) foreign investment spending, as well as the rate of growth in exports, have a positive and economically significant effect on the rate of labour productivity growth. In addition, the results show that increases in the EAP have a negative and statistically significant effect on the rate of labour productivity growth, while changes in the government consumption variable have a negative but marginally significant impact. The error correction terms of the estimated models are negative and statistically significant, thus suggesting that deviations of actual labour productivity growth from its long-run value are corrected in subsequent periods. Finally the article generates historical simulations from the estimated ECM's and offers some policy recommendations to enhance the positive externalities associated with FDI inflows.     

The determinants of value of incoming cross-border mergers & acquisitions in European transition countries

This research aims to determine variables that affect the aggregate value of incoming cross-border M&As in European transitional countries. Dynamic panel models have been estimated using Arellano and Bond GMM estimator for period between year 1994 and 2008. The ratio of the total value of cross-border M&A to GDP of the country is the dependent variable. Independent variables include following indicators: lagged value of cross-border M&A to GDP, lagged GDP per capita, lagged GDP growth, inflation, interest rate spread, lagged private credit to GDP ratio, market capitalization to GDP ratio, lagged rule of law and lagged control of corruption.     

Do Accrual Numbers Really Affect the Financial Market? An Empirical Analysis of ESA Accounts Across the EU

The adoption of a full accrual framework in the public sector is differentiated country by country both for budgeting and for reporting phases. The purpose of this article is to address the following broader research question: How do accrual numbers affect the financial markets? The 10-year average interest rate on sovereign bonds across the European Union is used as a dependent variable. The results of the research show an unclear relation among the variables investigated. Given this evidence, an alignment between micro- and macroaccounting rules could be pursued. We argue the suitability of the Australian experience in this sense.     

Aspects of local government and politics in china: 1955–58

This study, based on work in six villages, seeks insights into the likely effect of the introduction of prospective land‐, water‐, and crop‐management technologies, being researched at the International Crops Research Institute for the Semi‐Arid Tropics, on the existing village labour‐use patterns in one major relevant region: peninsular India. Explicit attention is given to the similarities and differences between small and large farms and their relevance to the adoption of the prospective new technologies.

Regional variation in labour utilisation reveals a tremendous employment‐creating potential in the existing tank and well irrigation systems in the Alfisols of peninsular India. The prospective technologies should increase employment, compared with existing technologies, by at least 100 per cent in the Alfisols and by over 300per cent in the deep Vertisols— but with some increase in the seasonal variability of labour demand. Given the existing availability of labour, there will be, with the improved watershed technologies, major farm labour bottlenecks. These should eventually generate increased wage rates and employment potentials. However, even temporary adverse effects on the timelessness of operations could be critical to the success of a double‐cropping and/or intercropping technology aiming at greatly increased yields. This would create demands for selective mechanisation, for example, of threshing.     

The effects of family planning effort and development on fertility: An intervening variables framework

To pinpoint the intervening variable that transmit the impacts of development and family planning effort on fertility, a modified proximate determinants model was applied to data from 59 developing countries. The intermediate variable included level of exposure to sexual intercourse (the percentage of women 20-24 years old in a union), deliberate marital fertility control (the percentage of married women of reproductive age who were using contraception), and natural marital fertility (operationalized as average per capita calorie consumption). The regression equations indicated that both social development and family planning effort can influence fertility levels substantially through their association with higher levels of contraceptive use. Interestingly, the direct effects of family planning and social development on the crude birth rate became insignificant when the intermediate variables were included in the same equation. Path analysis revealed that social development has an indirect effect of -0.083 via its influence on marriage patterns and of -0.316 due to its effect on contraceptive usage. Family planning has a lesser indirect impact on fertility (-0.487), and -0.111 of this effect reflects program effort's dependence on the level of social development. Economic development is positively linked to fertility, and future research should assess whether this factor is partially counterbalancing the fertility-reducing impact of social development and family planning programs. Although this analysis confirms that delayed marriage and widespread adoption of contraception are key intervening variables, they cannot influence fertility in societies where there are social or cultural impediments to such changes.     

Why wait for the state? Using the CFS Tenure Guidelines to recalibrate political-legal struggles for democratic land control

Abstract

In 2012, with the adoption of the Voluntary Guidelines on the Responsible Governance of Tenure of Land, Fisheries and Forests in the Context of National Food Security (or TGs), the UN Committee on World Food Security (CFS) established a new international standard on natural resource governance. After adoption, the challenge is for these guidelines to be implemented and used. However, no law is self-interpreting or self-implementing, and so how states will interpret and implement these new guidelines cannot be taken for granted. This is especially true in the current global context of land grabbing driven, in many cases, by alliances of state and capital. Consequently, subaltern people, for whom rights in relation to the natural resources on which they depend remain out of reach, face the challenge and potential opportunity of making use of the TGs to recalibrate the political-legal terrain in favour of human rights and democratic control of land and other natural resources.     

The Mechanism of State Charter School Policy Adoption: The Case of American States

This article concentrates on charter school policy that is regarded as the fastest growing innovative policy in America. Its adoption is more impressive than other innovative policies in the public educational area. By 2008, 40 states among 50 American states have passed charter school law since Minnesota became the first pathfinder to create charter school law about two decades ago. However, 10 states have not adopted charter school law. Based on this dichotomous policy phenomenon, the primary research question of the study focuses on clarifying what factors drive American states to adopt charter school policy. To obtain answers for this research question, the study dedicates to analyzing main hypotheses from the regional diffusion model and state characteristics, using event history analysis. The results demonstrate that the three predictor variables—regional diffusion, similar innovation, and gubernatorial political tendency—positively have significant effects in explaining the adoption of American state charter school policy.     

Technical efficiency measurement within the manufacturing sector in Côte d'Ivoire: A stochastic frontier approach

This article analyses the productive performance in four manufacturing sectors of the Ivorian economy: textiles and garments, metal products, food processing, wood and furniture. To appraise the productive performance, econometric production frontier models are estimated, illustrating the maximum output attainable from a given quantity of inputs. The frontier and firm efficiency scores are derived from stochastic production functions estimated on cross-sectional data. The stochastic specification of the models allows for the decomposition of the error term into two components, one the normal random effect and the other to account for technical inefficiency that we explain by various exogenous variables describing the economic and institutional environment. Firm size proves to be a statistically significant determinant of the productive performance. Across the four sectors, the positive impact of being large compensates the negative effect of a formal institutional status in an environment where government regulations still prevail.