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Constraints associated with public agricultural extension services imply that farmers increasingly rely on input providers for agricultural innovations and knowledge. Yet such providers are typically commercial profit-making agents and may have an incentive to suggest relatively costly inputs and/or high rates. The purpose of this paper is to look into the case of Bangladesh and the role of fertilizer traders in terms of farmers’ decisions on which fertilizer to apply and at what rate. Using primary data, the authors examine farmers’ chemical fertilizer use and the associated rice production efficiency, based on different information sources (fertilizer traders, government extension agents or own/peer experience).

Using primary data, the present study estimates an ordered probit model and production functions separately based on whether or not a farmer relied on information from fertilizer traders or own experience and government extension agents, and examines the efficiency score of each type of farmer.

The findings demonstrate that the resource-poor farmers rely more on traders’ suggestions for fertilizer application than public extension – but the actual fertilizer information source has no significant effect on the production efficiency of the rice farmers. This study, therefore, does not find exploitative behavior of fertilizer traders. Thus, this study concludes that small rural traders in Bangladesh are working as agricultural extension agents and provide necessary fertilizer application information to resource-poor farmers.

This is a case study based on Bangladesh – an emerging economy in South Asia. The findings of the study may not be generalized for other countries.

To the authors’ knowledge, this is the first study that confirms the role of agricultural input sellers as the extension agent in developing countries.

The paper investigates the effects of climate change along with ecological and carbon footprint on rice crop production in India during 1982–2016.

The autoregressive distributed lag (ARDL), canonical cointegration regression (CCR) and fully modified ordinary least square (FMOLS) models are used in the paper.

A long-run relationship is found between climate change and rice production in India. Results report that ecological footprint and carbon footprint spur long-term rice production. While rainfall boosts rice crop productivity in the short term, it has a negative long-term impact. Further, the findings of ARDL models are validated by other cointegration models, i.e., the FMOLS and CCR models.

This study provides insights into the role of ecological footprint and carbon footprint along with climate variables in relation to rice production.

In the literature, the effects of ecological and carbon footprint on rice production are missing. Therefore, this is the first study to empirically examine the impact of climate change along with ecological footprint and carbon footprint on rice production in India.

Salinity is one of the major problems in the coastal region of Bangladesh that contributes to 20% of the total land area. About 53% of the coastal region is affected by different degrees of salinity. Salinity intrusion in this area is mainly derived through climate change as well as anthropogenic factors that make this region more vulnerable. Hence, salinity intrusion has adverse effects on water, soils, agriculture, fisheries, ecosystem, and livelihoods of this region. To ensure the availability of food as well as drinking water, this chapter highlights how individual and community people have endeavored several adaptation measures to minimize salinity effects. Moreover, it further discloses governmental and other development organizations’ actions toward salinity to reduce its impacts.

The Indus, Mekong, and Ganges River deltas, which have created one of the world’s largest delta and submarine fan system, currently contribute a major fraction of freshwater to East and South Asia. All these deltas are those regions in the world that face major challenges in their water sector due to population growth, urbanization, industrialization, sea-level rise, and salinity intrusion into inland and water bodies, all aggravated by climate change. Among them, salinity intrusion is currently one of the key issues that directly and indirectly cause water insecurity in East and South Asia, which ultimately hamper livelihood, agricultural production, and social interference. Hence, this chapter gives a comprehensive description on the nature and extent of the salinity problem, its adverse effects on livelihood and water sector, and then the focus goes to current and future sustainable water resource management within the delta to finally move on to conclusion and suggestions.

This paper aims to analyze farm-level technical inefficiency of rice farming in Assam, India, using a multiple-output generalized stochastic frontier framework.

Primary data for this study were collected in 2009-2010 from 310 farm-households in four non-contiguous districts of Dhubri, Morigaon, Dibrugarh and Cachar that are located in different agro-climatic regions of Assam. Based on a Cobb–Douglas production function for multiple rice varieties, the paper simultaneously estimates the generalized stochastic production frontier and examines effects of exogenous factors on farm-level technical inefficiency.

Results of this study show that the average technical inefficiency of farms is 8.5 per cent in the sample. Further, inefficiency is lower in the frequently flood prone areas, and availability of government support helps reduce such inefficiency as well. However, technical efficiency is higher for the Muslim farm-households, and it decreases with greater land fragmentation. The study also finds that the use of primitive technology like bullock reduces technical efficiency of rice farming.

This paper is based on a novel data set that has specially been collected to examine productivity and efficiency of rice cultivation in the flood plains of Assam that has not been studied before. Further, to the best of the authors’ knowledge, this paper is the first one to model rice production as a multiple-output stochastic production frontier and analyze technical efficiency of rice production accordingly.

Irrigation facility has been identified by many researchers as one of the essential institutional factors in agriculture sector of any country, including India. Furthermore, its importance has also been admitted in the agro-productions in any provinces, districts and blocks. The equitable distribution of such facilities may lead to equitable distributions in the productivity of land for different crop productions. Under this milieu, this chapter intends to examine the trends in the different types of paddy production and irrigational facilities in the Paschim Medinipur District of West Bengal State in India and tries to correlate whether disparities in paddy production are associated with disparities in the distribution of irrigational facilities. The results show positive association between the two and prescribe inclusive arrangements of irrigational facilities to all the blocks in the district to have long-term solutions.

All over the world, Bangladesh is well known as a flood- and cyclone-affected country. But in the recent years the slow onset disaster of drought is more frequent in Bangladesh due to climatic as well as nonclimatic variability. As a consequence, agriculture along with its dependent farmers’ livelihoods tremendously experience its adverse impacts. Therefore, the main focus of this chapter is to discuss about drought, its effects on different sectors, and how in different levels a number of drought risk management actions are carried out to cope with this insidious disaster in the context of Bangladesh.

The southwest coastal region is part of an inactive delta of large Himalayan rivers and is protected from tidal surge by the Sundarbans mangrove forest. This area is the hub of all types of disasters such as cyclones, tidal surges, floods, drought, salinity intrusions, repeated waterlogging, and land subsidence. Cyclonic tidal surges and floods are the more common disasters, and their effects are frequently experienced at the local level. But silent and invisible disasters such as increased salinity, arsenic contamination, and drought affect local livelihoods, people, and environments in this region. The vulnerability of southwest region to increased salinity, arsenic contamination, and drought are the result of a complex interrelationship among biophysical, social, economical, and technological characteristics of the country. Moreover, in the current and foreseeable future, the country is likely to be affected by the biggest, most long-lasting, and global scale but silent disaster: increased salinity, natural arsenic contamination, and drought. Therefore, this region is thought to be the most disaster-prone region in Bangladesh because of natural disasters and highly vulnerable to the effects of climate change.

Climate change-related weather events significantly affect rice production. In this paper, we investigate the impact of and interrelationships between agriculture inputs, climate change factors and financial variables on rice production in India from 1970–2021.

This study is based on the time series analysis; the unit root test has been employed to unveil the integration order. Further, the study used various econometric techniques, including vector autoregression estimates (VAR), cointegration test, autoregressive distributed lag (ARDL) model and diagnostic test for ARDL, fully modified least squares (FMOLS), canonical cointegrating regression (CCR), impulse response functions (IRF) and the variance decomposition method (VDM) to validate the long- and short-term impacts of climate change on rice production in India of the scrutinized variables.

The study's findings revealed that the rice area, precipitation and maximum temperature have a significant and positive impact on rice production in the short run. In the long run, rice area (ß = 1.162), pesticide consumption (ß = 0.089) and domestic credit to private sector (ß = 0.068) have a positive and significant impact on rice production. The results show that minimum temperature and direct institutional credit for agriculture have a significant but negative impact on rice production in the short run. Minimum temperature, pesticide consumption, domestic credit to the private sector and direct institutional credit for agriculture have a negative and significant impact on rice production in the long run.

The present study makes valuable and original contributions to the literature by examining the short- and long-term impacts of climate change on rice production in India over 1970–2021. To the best of the authors’ knowledge, The majority of the studies examined the impact of climate change on rice production with the consideration of only “mean temperature” as one of the climatic variables, while in the present study, the authors have considered both minimum as well as maximum temperature. Furthermore, the authors also considered the financial variables in the model.

The purpose of the paper is to estimate wheat productivity in Bangladesh and forecast the future expected population and food requirements in the country by 2010.

This paper reaches the objectives using total factors productivity approach, Box Jenkins approach, and sensitivity analysis for wheat farms in the country. The study used data on wheat during 1972‐2002.

In the existing situation, the national average level wheat yield was 1.9 MT/ha that was lower than any other stations. The reasons are late sowing, coupled with lack of seed quality, excess moisture at sowing, lack of fertilizer at reasonable price and timeliness at the farmers' level, and lack of capital. The total productivity grew at an average annual rate of 1.35 percent.

The results show that the Bangladeshi government could increase the domestic wheat supply by 56.84, 115.79, 247.37, and 321.58 percent depending, respectively, on the applied model I‐IV, that is much higher than the existing level of production.

This paper brings together diverse views and fusing them together providing a future path for research and taking suitable policy for wheat production to meet the demand for food.